--- /tmp/python-xarray-0.16.2-2r7ue8j03/debian/python-xarray-doc_0.16.2-2_all.deb
+++ python-xarray-doc_0.16.2-2_all.deb
├── file list
│ @@ -1,3 +1,3 @@
│  -rw-r--r--   0        0        0        4 2021-01-02 13:06:33.000000 debian-binary
│  -rw-r--r--   0        0        0     4984 2021-01-02 13:06:33.000000 control.tar.xz
│ --rw-r--r--   0        0        0  2041188 2021-01-02 13:06:33.000000 data.tar.xz
│ +-rw-r--r--   0        0        0  2041220 2021-01-02 13:06:33.000000 data.tar.xz
├── control.tar.xz
│ ├── control.tar
│ │ ├── ./control
│ │ │ @@ -1,13 +1,13 @@
│ │ │  Package: python-xarray-doc
│ │ │  Source: python-xarray
│ │ │  Version: 0.16.2-2
│ │ │  Architecture: all
│ │ │  Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
│ │ │ -Installed-Size: 6634
│ │ │ +Installed-Size: 6633
│ │ │  Depends: libjs-sphinxdoc (>= 2.4.3-5~), sphinx-rtd-theme-common (>= 0.5.0+dfsg), libjs-mathjax, libjs-requirejs
│ │ │  Built-Using: sphinx (= 3.4.1-1)
│ │ │  Section: doc
│ │ │  Priority: optional
│ │ │  Homepage: http://xarray.pydata.org/
│ │ │  Description: documentation for xarray
│ │ │   xarray (formerly xray) is an open source project and Python package that aims
│ │ ├── ./md5sums
│ │ │ ├── ./md5sums
│ │ │ │┄ Files differ
├── data.tar.xz
│ ├── data.tar
│ │ ├── file list
│ │ │ @@ -182,50 +182,50 @@
│ │ │  -rw-r--r--   0 root         (0) root         (0)    57359 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/combining.html
│ │ │  -rw-r--r--   0 root         (0) root         (0)   110268 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/computation.html
│ │ │  -rw-r--r--   0 root         (0) root         (0)    90145 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/contributing.html
│ │ │  -rw-r--r--   0 root         (0) root         (0)    79239 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/dask.html
│ │ │  -rw-r--r--   0 root         (0) root         (0)   103025 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/data-structures.html
│ │ │  -rw-r--r--   0 root         (0) root         (0)    17300 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/duckarrays.html
│ │ │  drwxr-xr-x   0 root         (0) root         (0)        0 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/
│ │ │ --rw-r--r--   0 root         (0) root         (0)    66888 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/ERA5-GRIB-example.html
│ │ │ --rw-r--r--   0 root         (0) root         (0)     5073 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/ERA5-GRIB-example.ipynb.gz
│ │ │ --rw-r--r--   0 root         (0) root         (0)    49590 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/ROMS_ocean_model.html
│ │ │ --rw-r--r--   0 root         (0) root         (0)    18691 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/ROMS_ocean_model.ipynb.gz
│ │ │ --rw-r--r--   0 root         (0) root         (0)   107548 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/apply_ufunc_vectorize_1d.html
│ │ │ --rw-r--r--   0 root         (0) root         (0)     8087 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/apply_ufunc_vectorize_1d.ipynb.gz
│ │ │ --rw-r--r--   0 root         (0) root         (0)    38291 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/area_weighted_temperature.html
│ │ │ --rw-r--r--   0 root         (0) root         (0)    14549 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/area_weighted_temperature.ipynb.gz
│ │ │ --rw-r--r--   0 root         (0) root         (0)    47922 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/monthly-means.html
│ │ │ --rw-r--r--   0 root         (0) root         (0)     3161 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/monthly-means.ipynb.gz
│ │ │ --rw-r--r--   0 root         (0) root         (0)    41989 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/multidimensional-coords.html
│ │ │ --rw-r--r--   0 root         (0) root         (0)     7640 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/multidimensional-coords.ipynb.gz
│ │ │ --rw-r--r--   0 root         (0) root         (0)   128031 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/visualization_gallery.html
│ │ │ --rw-r--r--   0 root         (0) root         (0)     9341 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/visualization_gallery.ipynb.gz
│ │ │ +-rw-r--r--   0 root         (0) root         (0)    66874 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/ERA5-GRIB-example.html
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│ │ │ +-rw-r--r--   0 root         (0) root         (0)    49583 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/ROMS_ocean_model.html
│ │ │ +-rw-r--r--   0 root         (0) root         (0)    18687 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/ROMS_ocean_model.ipynb.gz
│ │ │ +-rw-r--r--   0 root         (0) root         (0)   107541 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/apply_ufunc_vectorize_1d.html
│ │ │ +-rw-r--r--   0 root         (0) root         (0)     8083 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/apply_ufunc_vectorize_1d.ipynb.gz
│ │ │ +-rw-r--r--   0 root         (0) root         (0)    38284 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/area_weighted_temperature.html
│ │ │ +-rw-r--r--   0 root         (0) root         (0)    14545 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/area_weighted_temperature.ipynb.gz
│ │ │ +-rw-r--r--   0 root         (0) root         (0)    47915 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/monthly-means.html
│ │ │ +-rw-r--r--   0 root         (0) root         (0)     3157 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/monthly-means.ipynb.gz
│ │ │ +-rw-r--r--   0 root         (0) root         (0)    41982 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/multidimensional-coords.html
│ │ │ +-rw-r--r--   0 root         (0) root         (0)     7636 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/multidimensional-coords.ipynb.gz
│ │ │ +-rw-r--r--   0 root         (0) root         (0)   128010 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/visualization_gallery.html
│ │ │ +-rw-r--r--   0 root         (0) root         (0)     9326 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/visualization_gallery.ipynb.gz
│ │ │  -rw-r--r--   0 root         (0) root         (0)    90817 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/weather-data.html
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│ │ │ +-rw-r--r--   0 root         (0) root         (0)   208603 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/examples/weather-data.ipynb.gz
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│ │ │  -rw-r--r--   0 root         (0) root         (0)     9876 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/genindex.html
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│ │ │  -rw-r--r--   0 root         (0) root         (0)    24735 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/installing.html
│ │ │ --rw-r--r--   0 root         (0) root         (0)    34228 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/internals.html
│ │ │ --rw-r--r--   0 root         (0) root         (0)    90074 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/interpolation.html
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│ │ │  -rw-r--r--   0 root         (0) root         (0)    41582 2021-01-02 13:06:33.000000 ./usr/share/doc/python-xarray-doc/html/pandas.html
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│ │ │  -rw-r--r--   0 root         (0) root         (0)      290 2021-01-02 13:06:33.000000 ./usr/share/doc-base/python-xarray-doc
│ │ ├── ./usr/share/doc/python-xarray-doc/html/dask.html
│ │ │ @@ -298,15 +298,15 @@
│ │ │  <p>You’ll notice that printing a dataset still shows a preview of array values,
│ │ │  even if they are actually Dask arrays. We can do this quickly with Dask because
│ │ │  we only need to compute the first few values (typically from the first block).
│ │ │  To reveal the true nature of an array, print a DataArray:</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [3]: </span><span class="n">ds</span><span class="o">.</span><span class="n">temperature</span>
│ │ │  <span class="gh">Out[3]: </span><span class="go"></span>
│ │ │  <span class="go">&lt;xarray.DataArray &#39;temperature&#39; (time: 30, latitude: 180, longitude: 180)&gt;</span>
│ │ │ -<span class="go">dask.array&lt;open_dataset-647e16a7571016661c6a18efabcf9149temperature, shape=(30, 180, 180), dtype=float64, chunksize=(10, 180, 180), chunktype=numpy.ndarray&gt;</span>
│ │ │ +<span class="go">dask.array&lt;open_dataset-cdbd6343ed17628e81144771d71bc2d3temperature, shape=(30, 180, 180), dtype=float64, chunksize=(10, 180, 180), chunktype=numpy.ndarray&gt;</span>
│ │ │  <span class="go">Coordinates:</span>
│ │ │  <span class="go">  * time       (time) datetime64[ns] 2015-01-01 2015-01-02 ... 2015-01-30</span>
│ │ │  <span class="go">  * longitude  (longitude) int64 0 1 2 3 4 5 6 7 ... 173 174 175 176 177 178 179</span>
│ │ │  <span class="go">  * latitude   (latitude) float64 89.5 88.5 87.5 86.5 ... -87.5 -88.5 -89.5</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <p>Once you’ve manipulated a Dask array, you can still write a dataset too big to
│ │ ├── ./usr/share/doc/python-xarray-doc/html/data-structures.html
│ │ │ @@ -890,18 +890,18 @@
│ │ │  a method call with an external function (e.g., <code class="docutils literal notranslate"><span class="pre">ds.pipe(func)</span></code>) instead of
│ │ │  simply calling it (e.g., <code class="docutils literal notranslate"><span class="pre">func(ds)</span></code>). This allows you to write pipelines for
│ │ │  transforming your data (using “method chaining”) instead of writing hard to
│ │ │  follow nested function calls:</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="go"># these lines are equivalent, but with pipe we can make the logic flow</span>
│ │ │  <span class="go"># entirely from left to right</span>
│ │ │  <span class="gp">In [60]: </span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">((</span><span class="mi">2</span> <span class="o">*</span> <span class="n">ds</span><span class="o">.</span><span class="n">temperature</span><span class="o">.</span><span class="n">sel</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="mi">0</span><span class="p">))</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="s2">&quot;y&quot;</span><span class="p">))</span>
│ │ │ -<span class="gh">Out[60]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f707159cc40&gt;]</span>
│ │ │ +<span class="gh">Out[60]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f786fb7fdc0&gt;]</span>
│ │ │  
│ │ │  <span class="gp">In [61]: </span><span class="p">(</span><span class="n">ds</span><span class="o">.</span><span class="n">temperature</span><span class="o">.</span><span class="n">sel</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">pipe</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">x</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="s2">&quot;y&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">pipe</span><span class="p">(</span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">))</span>
│ │ │ -<span class="gh">Out[61]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f70715ab7c0&gt;]</span>
│ │ │ +<span class="gh">Out[61]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f786fb0e0a0&gt;]</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <p>Both <code class="docutils literal notranslate"><span class="pre">pipe</span></code> and <code class="docutils literal notranslate"><span class="pre">assign</span></code> replicate the pandas methods of the same names
│ │ │  (<a class="reference external" href="http://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.pipe.html#pandas.DataFrame.pipe" title="(in pandas v1.1.5)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">DataFrame.pipe</span></code></a> and
│ │ │  <a class="reference external" href="http://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.assign.html#pandas.DataFrame.assign" title="(in pandas v1.1.5)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">DataFrame.assign</span></code></a>).</p>
│ │ │  <p>With xarray, there is no performance penalty for creating new datasets, even if
│ │ │  variables are lazily loaded from a file on disk. Creating new objects instead
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/ERA5-GRIB-example.html
│ │ │ @@ -521,15 +521,15 @@
│ │ │  <span class="ansi-green-fg">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py</span> in <span class="ansi-cyan-fg">open_dataset</span><span class="ansi-blue-fg">(name, cache, cache_dir, github_url, branch, **kws)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     76</span>         <span class="ansi-red-fg"># May want to add an option to remove it.</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     77</span>         <span class="ansi-green-fg">if</span> <span class="ansi-green-fg">not</span> _os<span class="ansi-blue-fg">.</span>path<span class="ansi-blue-fg">.</span>isdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-fg">---&gt; 78</span><span class="ansi-red-fg">             </span>_os<span class="ansi-blue-fg">.</span>mkdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     79</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     80</span>         url <span class="ansi-blue-fg">=</span> <span class="ansi-blue-fg">&#34;/&#34;</span><span class="ansi-blue-fg">.</span>join<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">(</span>github_url<span class="ansi-blue-fg">,</span> <span class="ansi-blue-fg">&#34;raw&#34;</span><span class="ansi-blue-fg">,</span> branch<span class="ansi-blue-fg">,</span> fullname<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">)</span>
│ │ │  
│ │ │ -<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/sbuild-nonexistent/.xarray_tutorial_data&#39;
│ │ │ +<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/nonexistent/.xarray_tutorial_data&#39;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  <p>Let’s create a simple plot of 2-m air temperature in degrees Celsius:</p>
│ │ │  <div class="nbinput docutils container">
│ │ │  <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
│ │ │  </pre></div>
│ │ │  </div>
│ │ │ @@ -784,15 +784,15 @@
│ │ │  <span class="ansi-green-fg">/usr/lib/python3.9/os.py</span> in <span class="ansi-cyan-fg">makedirs</span><span class="ansi-blue-fg">(name, mode, exist_ok)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">    223</span>             <span class="ansi-green-fg">return</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">    224</span>     <span class="ansi-green-fg">try</span><span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-fg">--&gt; 225</span><span class="ansi-red-fg">         </span>mkdir<span class="ansi-blue-fg">(</span>name<span class="ansi-blue-fg">,</span> mode<span class="ansi-blue-fg">)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">    226</span>     <span class="ansi-green-fg">except</span> OSError<span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">    227</span>         <span class="ansi-red-fg"># Cannot rely on checking for EEXIST, since the operating system</span>
│ │ │  
│ │ │ -<span class="ansi-red-fg">PermissionError</span>: [Errno 13] Permission denied: &#39;/sbuild-nonexistent&#39;
│ │ │ +<span class="ansi-red-fg">PermissionError</span>: [Errno 13] Permission denied: &#39;/nonexistent&#39;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  <div class="nboutput nblast docutils container">
│ │ │  <div class="prompt empty docutils container">
│ │ │  </div>
│ │ │  <div class="output_area docutils container">
│ │ │  <div class="highlight"><pre>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/ERA5-GRIB-example.ipynb.gz
│ │ │ ├── ERA5-GRIB-example.ipynb
│ │ │ │ │   --- /tmp/diffoscope_dn2f40t9_/tmpm69qhgd0GzipContainer/bd821191-a56b-4cac-a1b9-fe925a358a43
│ │ │ │ ├── +++ /tmp/diffoscope_dn2f40t9_/tmpe2fkaf35GzipContainer/2c4e3a47-cd41-468b-9496-fc04a8fd07da
│ │ │ │ │┄ Differences: {'replace': "OrderedDict([('cells', [OrderedDict([('cell_type', 'markdown'), ('metadata', "
│ │ │ │ │┄             "OrderedDict()), ('source', ['# GRIB Data Example '])]), OrderedDict([('cell_type', "
│ │ │ │ │┄             "'markdown'), ('metadata', OrderedDict()), ('source', ['GRIB format is commonly used "
│ │ │ │ │┄             'to disemminate atmospheric model data. With Xarray and the cfgrib engine, GRIB data '
│ │ │ │ │┄             "can easily be analyzed and visualized.'])]), OrderedDict([('cell_type', 'code'), "
│ │ │ │ │┄             "('execution_cou […]
│ │ │ │ │ @@ -34,23 +34,23 @@
│ │ │ │ │          {
│ │ │ │ │              "cell_type": "code",
│ │ │ │ │              "execution_count": 2,
│ │ │ │ │              "metadata": {},
│ │ │ │ │              "outputs": [
│ │ │ │ │                  {
│ │ │ │ │                      "ename": "FileNotFoundError",
│ │ │ │ │ -                    "evalue": "[Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'",
│ │ │ │ │ +                    "evalue": "[Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'",
│ │ │ │ │                      "output_type": "error",
│ │ │ │ │                      "traceback": [
│ │ │ │ │                          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
│ │ │ │ │                          "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
│ │ │ │ │                          "\u001b[0;32m<ipython-input-2-783584127f97>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mxr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtutorial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'era5-2mt-2019-03-uk.grib'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'cfgrib'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
│ │ │ │ │                          "\u001b[0;32m/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py\u001b[0m in \u001b[0;36mload_dataset\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    111\u001b[0m     \u001b[0mopen_dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m     \"\"\"\n\u001b[0;32m--> 113\u001b[0;31m     \u001b[0;32mwith\u001b[0m \u001b[0mopen_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    114\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    115\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py\u001b[0m in \u001b[0;36mopen_dataset\u001b[0;34m(name, cache, cache_dir, github_url, branch, **kws)\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0;31m# May want to add an option to remove it.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m             \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m         \u001b[0murl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"/\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgithub_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"raw\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbranch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfullname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ -                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'"
│ │ │ │ │ +                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'"
│ │ │ │ │                      ]
│ │ │ │ │                  }
│ │ │ │ │              ],
│ │ │ │ │              "source": [
│ │ │ │ │                  "ds = xr.tutorial.load_dataset('era5-2mt-2019-03-uk.grib', engine='cfgrib')"
│ │ │ │ │              ]
│ │ │ │ │          },
│ │ │ │ │ @@ -104,15 +104,15 @@
│ │ │ │ │                          "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
│ │ │ │ │                          "\u001b[0;32m<ipython-input-4-246f01288f90>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprojection\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mccrs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRobinson\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcoastlines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresolution\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'10m'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mplot\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mt2m\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcoolwarm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mccrs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPlateCarree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcbar_kwargs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'shrink'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m0.6\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'ERA5 - 2m temperature British Isles March 2019'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;31mNameError\u001b[0m: name 'ds' is not defined"
│ │ │ │ │                      ]
│ │ │ │ │                  },
│ │ │ │ │                  {
│ │ │ │ │                      "ename": "PermissionError",
│ │ │ │ │ -                    "evalue": "[Errno 13] Permission denied: '/sbuild-nonexistent'",
│ │ │ │ │ +                    "evalue": "[Errno 13] Permission denied: '/nonexistent'",
│ │ │ │ │                      "output_type": "error",
│ │ │ │ │                      "traceback": [
│ │ │ │ │                          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
│ │ │ │ │                          "\u001b[0;31mPermissionError\u001b[0m                           Traceback (most recent call last)",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3/dist-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    339\u001b[0m                 \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    340\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 341\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mprinter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    342\u001b[0m             \u001b[0;31m# Finally look for special method names\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    343\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_real_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_method\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3/dist-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(fig)\u001b[0m\n\u001b[1;32m    246\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    247\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'png'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 248\u001b[0;31m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'png'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    249\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'retina'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m'png2x'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mretina_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3/dist-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(fig, fmt, bbox_inches, **kwargs)\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0mFigureCanvasBase\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 132\u001b[0;31m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbytes_io\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    133\u001b[0m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbytes_io\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    134\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfmt\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'svg'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ @@ -137,15 +137,15 @@
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    223\u001b[0m             \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    224\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 225\u001b[0;31m         \u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    226\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    227\u001b[0m         \u001b[0;31m# Cannot rely on checking for EEXIST, since the operating system\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ -                        "\u001b[0;31mPermissionError\u001b[0m: [Errno 13] Permission denied: '/sbuild-nonexistent'"
│ │ │ │ │ +                        "\u001b[0;31mPermissionError\u001b[0m: [Errno 13] Permission denied: '/nonexistent'"
│ │ │ │ │                      ]
│ │ │ │ │                  },
│ │ │ │ │                  {
│ │ │ │ │                      "data": {
│ │ │ │ │                          "text/plain": [
│ │ │ │ │                              "<Figure size 720x720 with 1 Axes>"
│ │ │ │ │                          ]
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/ROMS_ocean_model.html
│ │ │ @@ -559,15 +559,15 @@
│ │ │  <span class="ansi-green-fg">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py</span> in <span class="ansi-cyan-fg">open_dataset</span><span class="ansi-blue-fg">(name, cache, cache_dir, github_url, branch, **kws)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     76</span>         <span class="ansi-red-fg"># May want to add an option to remove it.</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     77</span>         <span class="ansi-green-fg">if</span> <span class="ansi-green-fg">not</span> _os<span class="ansi-blue-fg">.</span>path<span class="ansi-blue-fg">.</span>isdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-fg">---&gt; 78</span><span class="ansi-red-fg">             </span>_os<span class="ansi-blue-fg">.</span>mkdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     79</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     80</span>         url <span class="ansi-blue-fg">=</span> <span class="ansi-blue-fg">&#34;/&#34;</span><span class="ansi-blue-fg">.</span>join<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">(</span>github_url<span class="ansi-blue-fg">,</span> <span class="ansi-blue-fg">&#34;raw&#34;</span><span class="ansi-blue-fg">,</span> branch<span class="ansi-blue-fg">,</span> fullname<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">)</span>
│ │ │  
│ │ │ -<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/sbuild-nonexistent/.xarray_tutorial_data&#39;
│ │ │ +<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/nonexistent/.xarray_tutorial_data&#39;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  </div>
│ │ │  <div class="section" id="Add-a-lazilly-calculated-vertical-coordinates">
│ │ │  <h2>Add a lazilly calculated vertical coordinates<a class="headerlink" href="#Add-a-lazilly-calculated-vertical-coordinates" title="Permalink to this headline">¶</a></h2>
│ │ │  <p>Write equations to calculate the vertical coordinate. These will be only evaluated when data is requested. Information about the ROMS vertical coordinate can be found (here)[<a class="reference external" href="https://www.myroms.org/wiki/Vertical_S-coordinate">https://www.myroms.org/wiki/Vertical_S-coordinate</a>]</p>
│ │ │  <p>In short, for <code class="docutils literal notranslate"><span class="pre">Vtransform==2</span></code> as used in this example,</p>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/ROMS_ocean_model.ipynb.gz
│ │ │ ├── ROMS_ocean_model.ipynb
│ │ │ │ │   --- /tmp/diffoscope_dn2f40t9_/tmppiw76r5vGzipContainer/75384067-a040-483f-92b6-3f4b8c52b5e7
│ │ │ │ ├── +++ /tmp/diffoscope_dn2f40t9_/tmpx5e2xdd1GzipContainer/6b91b89d-13f5-4592-a59a-97eb1fce8152
│ │ │ │ │┄ Differences: {'replace': "OrderedDict([('cells', [OrderedDict([('cell_type', 'markdown'), ('metadata', "
│ │ │ │ │┄             "OrderedDict()), ('source', ['# ROMS Ocean Model Example'])]), "
│ │ │ │ │┄             "OrderedDict([('cell_type', 'markdown'), ('metadata', OrderedDict()), ('source', ['The "
│ │ │ │ │┄             'Regional Ocean Modeling System ([ROMS](http://myroms.org)) is an open source '
│ │ │ │ │┄             'hydrodynamic model that is used for simulating currents and water properties in '
│ │ │ │ │┄             'coastal and estuarine regions. ROMS is one […]
│ │ │ │ │ @@ -69,22 +69,22 @@
│ │ │ │ │          {
│ │ │ │ │              "cell_type": "code",
│ │ │ │ │              "execution_count": 2,
│ │ │ │ │              "metadata": {},
│ │ │ │ │              "outputs": [
│ │ │ │ │                  {
│ │ │ │ │                      "ename": "FileNotFoundError",
│ │ │ │ │ -                    "evalue": "[Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'",
│ │ │ │ │ +                    "evalue": "[Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'",
│ │ │ │ │                      "output_type": "error",
│ │ │ │ │                      "traceback": [
│ │ │ │ │                          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
│ │ │ │ │                          "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
│ │ │ │ │                          "\u001b[0;32m<ipython-input-2-f6e5aae51f8e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# load in the file\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mxr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtutorial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'ROMS_example.nc'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mchunks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'ocean_time'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;31m# This is a way to turn on chunking and lazy evaluation. Opening with mfdataset, or\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;31m# setting the chunking in the open_dataset would also achive this.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py\u001b[0m in \u001b[0;36mopen_dataset\u001b[0;34m(name, cache, cache_dir, github_url, branch, **kws)\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0;31m# May want to add an option to remove it.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m             \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m         \u001b[0murl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"/\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgithub_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"raw\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbranch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfullname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ -                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'"
│ │ │ │ │ +                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'"
│ │ │ │ │                      ]
│ │ │ │ │                  }
│ │ │ │ │              ],
│ │ │ │ │              "source": [
│ │ │ │ │                  "# load in the file\n",
│ │ │ │ │                  "ds = xr.tutorial.open_dataset('ROMS_example.nc', chunks={'ocean_time': 1})\n",
│ │ │ │ │                  "\n",
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/apply_ufunc_vectorize_1d.html
│ │ │ @@ -553,15 +553,15 @@
│ │ │  <span class="ansi-green-fg">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py</span> in <span class="ansi-cyan-fg">open_dataset</span><span class="ansi-blue-fg">(name, cache, cache_dir, github_url, branch, **kws)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     76</span>         <span class="ansi-red-fg"># May want to add an option to remove it.</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     77</span>         <span class="ansi-green-fg">if</span> <span class="ansi-green-fg">not</span> _os<span class="ansi-blue-fg">.</span>path<span class="ansi-blue-fg">.</span>isdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-fg">---&gt; 78</span><span class="ansi-red-fg">             </span>_os<span class="ansi-blue-fg">.</span>mkdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     79</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     80</span>         url <span class="ansi-blue-fg">=</span> <span class="ansi-blue-fg">&#34;/&#34;</span><span class="ansi-blue-fg">.</span>join<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">(</span>github_url<span class="ansi-blue-fg">,</span> <span class="ansi-blue-fg">&#34;raw&#34;</span><span class="ansi-blue-fg">,</span> branch<span class="ansi-blue-fg">,</span> fullname<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">)</span>
│ │ │  
│ │ │ -<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/sbuild-nonexistent/.xarray_tutorial_data&#39;
│ │ │ +<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/nonexistent/.xarray_tutorial_data&#39;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  <p>The function we will apply is <code class="docutils literal notranslate"><span class="pre">np.interp</span></code> which expects 1D numpy arrays. This functionality is already implemented in xarray so we use that capability to make sure we are not making mistakes.</p>
│ │ │  <div class="nbinput docutils container">
│ │ │  <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]:
│ │ │  </pre></div>
│ │ │  </div>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/apply_ufunc_vectorize_1d.ipynb.gz
│ │ │ ├── apply_ufunc_vectorize_1d.ipynb
│ │ │ │ │   --- /tmp/diffoscope_dn2f40t9_/tmp99qm63wdGzipContainer/faa8e74c-59b1-437a-a434-1b4f9ee15ec8
│ │ │ │ ├── +++ /tmp/diffoscope_dn2f40t9_/tmpn9i7qkzlGzipContainer/d38d9026-9f0b-406f-939e-1414ce714b30
│ │ │ │ │┄ Differences: {'replace': "OrderedDict([('cells', [OrderedDict([('cell_type', 'markdown'), ('metadata', "
│ │ │ │ │┄             "OrderedDict()), ('source', ['## Applying unvectorized functions with "
│ │ │ │ │┄             "`apply_ufunc`'])]), OrderedDict([('cell_type', 'markdown'), ('metadata', "
│ │ │ │ │┄             "OrderedDict()), ('source', ['This example will illustrate how to conveniently apply "
│ │ │ │ │┄             'an unvectorized function `func` to xarray objects using `apply_ufunc`. `func` expects '
│ │ │ │ │┄             '1D numpy arrays and returns a 1D nu […]
│ │ │ │ │ @@ -39,23 +39,23 @@
│ │ │ │ │                      "end_time": "2020-01-15T14:45:51.659160Z",
│ │ │ │ │                      "start_time": "2020-01-15T14:45:50.528742Z"
│ │ │ │ │                  }
│ │ │ │ │              },
│ │ │ │ │              "outputs": [
│ │ │ │ │                  {
│ │ │ │ │                      "ename": "FileNotFoundError",
│ │ │ │ │ -                    "evalue": "[Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'",
│ │ │ │ │ +                    "evalue": "[Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'",
│ │ │ │ │                      "output_type": "error",
│ │ │ │ │                      "traceback": [
│ │ │ │ │                          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
│ │ │ │ │                          "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
│ │ │ │ │                          "\u001b[0;32m<ipython-input-1-5e8aec42a87b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m air = (\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mxr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtutorial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"air_temperature\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m     \u001b[0;34m.\u001b[0m\u001b[0mair\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msortby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"lat\"\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# np.interp needs coordinate in ascending order\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m     \u001b[0;34m.\u001b[0m\u001b[0misel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mslice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mslice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py\u001b[0m in \u001b[0;36mload_dataset\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    111\u001b[0m     \u001b[0mopen_dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m     \"\"\"\n\u001b[0;32m--> 113\u001b[0;31m     \u001b[0;32mwith\u001b[0m \u001b[0mopen_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    114\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    115\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py\u001b[0m in \u001b[0;36mopen_dataset\u001b[0;34m(name, cache, cache_dir, github_url, branch, **kws)\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0;31m# May want to add an option to remove it.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m             \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m         \u001b[0murl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"/\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgithub_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"raw\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbranch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfullname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ -                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'"
│ │ │ │ │ +                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'"
│ │ │ │ │                      ]
│ │ │ │ │                  }
│ │ │ │ │              ],
│ │ │ │ │              "source": [
│ │ │ │ │                  "import xarray as xr\n",
│ │ │ │ │                  "import numpy as np\n",
│ │ │ │ │                  "\n",
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/area_weighted_temperature.html
│ │ │ @@ -553,15 +553,15 @@
│ │ │  <span class="ansi-green-fg">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py</span> in <span class="ansi-cyan-fg">open_dataset</span><span class="ansi-blue-fg">(name, cache, cache_dir, github_url, branch, **kws)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     76</span>         <span class="ansi-red-fg"># May want to add an option to remove it.</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     77</span>         <span class="ansi-green-fg">if</span> <span class="ansi-green-fg">not</span> _os<span class="ansi-blue-fg">.</span>path<span class="ansi-blue-fg">.</span>isdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-fg">---&gt; 78</span><span class="ansi-red-fg">             </span>_os<span class="ansi-blue-fg">.</span>mkdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     79</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     80</span>         url <span class="ansi-blue-fg">=</span> <span class="ansi-blue-fg">&#34;/&#34;</span><span class="ansi-blue-fg">.</span>join<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">(</span>github_url<span class="ansi-blue-fg">,</span> <span class="ansi-blue-fg">&#34;raw&#34;</span><span class="ansi-blue-fg">,</span> branch<span class="ansi-blue-fg">,</span> fullname<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">)</span>
│ │ │  
│ │ │ -<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/sbuild-nonexistent/.xarray_tutorial_data&#39;
│ │ │ +<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/nonexistent/.xarray_tutorial_data&#39;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  <p>Plot the first timestep:</p>
│ │ │  <div class="nbinput docutils container">
│ │ │  <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
│ │ │  </pre></div>
│ │ │  </div>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/area_weighted_temperature.ipynb.gz
│ │ │ ├── area_weighted_temperature.ipynb
│ │ │ │ │   --- /tmp/diffoscope_dn2f40t9_/tmpww_jx00qGzipContainer/9a0cc40f-9d2e-4761-bade-8e6d2d6a6276
│ │ │ │ ├── +++ /tmp/diffoscope_dn2f40t9_/tmpaz8hm2umGzipContainer/155bfe70-299d-4a9f-ba26-fcf559fda86f
│ │ │ │ │┄ Differences: {'replace': "OrderedDict([('cells', [OrderedDict([('cell_type', 'markdown'), ('metadata', "
│ │ │ │ │┄             "OrderedDict([('toc', True)])), ('source', ['<h1>Table of Contents<span "
│ │ │ │ │┄             'class="tocSkip"></span></h1>\\n\', \'<div class="toc"><ul '
│ │ │ │ │┄             'class="toc-item"><li><span><a '
│ │ │ │ │┄             'href="#Compare-weighted-and-unweighted-mean-temperature" '
│ │ │ │ │┄             'data-toc-modified-id="Compare-weighted-and-unweighted-mean-temperature-1"><span '
│ │ │ │ │┄             'class="toc-item-num">1&nbsp;&nbsp;</ […]
│ │ │ │ │ @@ -60,23 +60,23 @@
│ │ │ │ │                      "end_time": "2020-03-17T14:43:57.831734Z",
│ │ │ │ │                      "start_time": "2020-03-17T14:43:57.651845Z"
│ │ │ │ │                  }
│ │ │ │ │              },
│ │ │ │ │              "outputs": [
│ │ │ │ │                  {
│ │ │ │ │                      "ename": "FileNotFoundError",
│ │ │ │ │ -                    "evalue": "[Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'",
│ │ │ │ │ +                    "evalue": "[Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'",
│ │ │ │ │                      "output_type": "error",
│ │ │ │ │                      "traceback": [
│ │ │ │ │                          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
│ │ │ │ │                          "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
│ │ │ │ │                          "\u001b[0;32m<ipython-input-2-91cf2eecbfdd>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mxr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtutorial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"air_temperature\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;31m# to celsius\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mair\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mair\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m273.15\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py\u001b[0m in \u001b[0;36mload_dataset\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    111\u001b[0m     \u001b[0mopen_dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m     \"\"\"\n\u001b[0;32m--> 113\u001b[0;31m     \u001b[0;32mwith\u001b[0m \u001b[0mopen_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    114\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    115\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py\u001b[0m in \u001b[0;36mopen_dataset\u001b[0;34m(name, cache, cache_dir, github_url, branch, **kws)\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0;31m# May want to add an option to remove it.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m             \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m         \u001b[0murl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"/\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgithub_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"raw\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbranch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfullname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ -                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'"
│ │ │ │ │ +                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'"
│ │ │ │ │                      ]
│ │ │ │ │                  }
│ │ │ │ │              ],
│ │ │ │ │              "source": [
│ │ │ │ │                  "ds = xr.tutorial.load_dataset(\"air_temperature\")\n",
│ │ │ │ │                  "\n",
│ │ │ │ │                  "# to celsius\n",
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/monthly-means.html
│ │ │ @@ -526,15 +526,15 @@
│ │ │  <span class="ansi-green-fg">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py</span> in <span class="ansi-cyan-fg">open_dataset</span><span class="ansi-blue-fg">(name, cache, cache_dir, github_url, branch, **kws)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     76</span>         <span class="ansi-red-fg"># May want to add an option to remove it.</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     77</span>         <span class="ansi-green-fg">if</span> <span class="ansi-green-fg">not</span> _os<span class="ansi-blue-fg">.</span>path<span class="ansi-blue-fg">.</span>isdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-fg">---&gt; 78</span><span class="ansi-red-fg">             </span>_os<span class="ansi-blue-fg">.</span>mkdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     79</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     80</span>         url <span class="ansi-blue-fg">=</span> <span class="ansi-blue-fg">&#34;/&#34;</span><span class="ansi-blue-fg">.</span>join<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">(</span>github_url<span class="ansi-blue-fg">,</span> <span class="ansi-blue-fg">&#34;raw&#34;</span><span class="ansi-blue-fg">,</span> branch<span class="ansi-blue-fg">,</span> fullname<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">)</span>
│ │ │  
│ │ │ -<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/sbuild-nonexistent/.xarray_tutorial_data&#39;
│ │ │ +<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/nonexistent/.xarray_tutorial_data&#39;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  </div>
│ │ │  <div class="section" id="Now-for-the-heavy-lifting:">
│ │ │  <h2>Now for the heavy lifting:<a class="headerlink" href="#Now-for-the-heavy-lifting:" title="Permalink to this headline">¶</a></h2>
│ │ │  <p>We first have to come up with the weights, - calculate the month lengths for each monthly data record - calculate weights using <code class="docutils literal notranslate"><span class="pre">groupby('time.season')</span></code></p>
│ │ │  <p>Finally, we just need to multiply our weights by the <code class="docutils literal notranslate"><span class="pre">Dataset</span></code> and sum allong the time dimension. Creating a <code class="docutils literal notranslate"><span class="pre">DataArray</span></code> for the month length is as easy as using the <code class="docutils literal notranslate"><span class="pre">days_in_month</span></code> accessor on the time coordinate. The calendar type, in this case <code class="docutils literal notranslate"><span class="pre">'noleap'</span></code>, is automatically considered in this operation.</p>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/monthly-means.ipynb.gz
│ │ │ ├── monthly-means.ipynb
│ │ │ │ │   --- /tmp/diffoscope_dn2f40t9_/tmponyfih7jGzipContainer/5a4a0eca-8885-4a09-b723-8d45b95540cd
│ │ │ │ ├── +++ /tmp/diffoscope_dn2f40t9_/tmpdmpqkgdfGzipContainer/da72fa57-2a91-45b5-93c6-dd5fb5998530
│ │ │ │ │┄ Differences: {'replace': "OrderedDict([('cells', [OrderedDict([('cell_type', 'markdown'), ('metadata', "
│ │ │ │ │┄             "OrderedDict()), ('source', ['Calculating Seasonal Averages from Timeseries of Monthly "
│ │ │ │ │┄             "Means \\n', '=====\\n', '\\n', 'Author: [Joe "
│ │ │ │ │┄             "Hamman](https://github.com/jhamman/)\\n', '\\n', 'The data used for this example can "
│ │ │ │ │┄             'be found in the [xarray-data](https://github.com/pydata/xarray-data) repository. You '
│ │ │ │ │┄             "may need to change the path to `rasm.nc` below […]
│ │ │ │ │ @@ -47,22 +47,22 @@
│ │ │ │ │                      "end_time": "2018-11-28T20:51:36.072316Z",
│ │ │ │ │                      "start_time": "2018-11-28T20:51:36.016594Z"
│ │ │ │ │                  }
│ │ │ │ │              },
│ │ │ │ │              "outputs": [
│ │ │ │ │                  {
│ │ │ │ │                      "ename": "FileNotFoundError",
│ │ │ │ │ -                    "evalue": "[Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'",
│ │ │ │ │ +                    "evalue": "[Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'",
│ │ │ │ │                      "output_type": "error",
│ │ │ │ │                      "traceback": [
│ │ │ │ │                          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
│ │ │ │ │                          "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
│ │ │ │ │                          "\u001b[0;32m<ipython-input-2-0eb806e38f7f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mxr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtutorial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'rasm'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py\u001b[0m in \u001b[0;36mopen_dataset\u001b[0;34m(name, cache, cache_dir, github_url, branch, **kws)\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0;31m# May want to add an option to remove it.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m             \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m         \u001b[0murl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"/\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgithub_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"raw\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbranch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfullname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ -                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'"
│ │ │ │ │ +                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'"
│ │ │ │ │                      ]
│ │ │ │ │                  }
│ │ │ │ │              ],
│ │ │ │ │              "source": [
│ │ │ │ │                  "ds = xr.tutorial.open_dataset('rasm').load()\n",
│ │ │ │ │                  "ds"
│ │ │ │ │              ]
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/multidimensional-coords.html
│ │ │ @@ -525,15 +525,15 @@
│ │ │  <span class="ansi-green-fg">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py</span> in <span class="ansi-cyan-fg">open_dataset</span><span class="ansi-blue-fg">(name, cache, cache_dir, github_url, branch, **kws)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     76</span>         <span class="ansi-red-fg"># May want to add an option to remove it.</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     77</span>         <span class="ansi-green-fg">if</span> <span class="ansi-green-fg">not</span> _os<span class="ansi-blue-fg">.</span>path<span class="ansi-blue-fg">.</span>isdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-fg">---&gt; 78</span><span class="ansi-red-fg">             </span>_os<span class="ansi-blue-fg">.</span>mkdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     79</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     80</span>         url <span class="ansi-blue-fg">=</span> <span class="ansi-blue-fg">&#34;/&#34;</span><span class="ansi-blue-fg">.</span>join<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">(</span>github_url<span class="ansi-blue-fg">,</span> <span class="ansi-blue-fg">&#34;raw&#34;</span><span class="ansi-blue-fg">,</span> branch<span class="ansi-blue-fg">,</span> fullname<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">)</span>
│ │ │  
│ │ │ -<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/sbuild-nonexistent/.xarray_tutorial_data&#39;
│ │ │ +<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/nonexistent/.xarray_tutorial_data&#39;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  <p>In this example, the <em>logical coordinates</em> are <code class="docutils literal notranslate"><span class="pre">x</span></code> and <code class="docutils literal notranslate"><span class="pre">y</span></code>, while the <em>physical coordinates</em> are <code class="docutils literal notranslate"><span class="pre">xc</span></code> and <code class="docutils literal notranslate"><span class="pre">yc</span></code>, which represent the latitudes and longitude of the data.</p>
│ │ │  <div class="nbinput docutils container">
│ │ │  <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
│ │ │  </pre></div>
│ │ │  </div>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/multidimensional-coords.ipynb.gz
│ │ │ ├── multidimensional-coords.ipynb
│ │ │ │ │   --- /tmp/diffoscope_dn2f40t9_/tmpik0yrvu0GzipContainer/3950e4c4-cf74-4e77-a9eb-ce60ecc085a1
│ │ │ │ ├── +++ /tmp/diffoscope_dn2f40t9_/tmpd5eimro2GzipContainer/644d0df4-d9d2-4496-997d-1f12fa6466e8
│ │ │ │ │┄ Differences: {'replace': "OrderedDict([('cells', [OrderedDict([('cell_type', 'markdown'), ('metadata', "
│ │ │ │ │┄             "OrderedDict()), ('source', ['# Working with Multidimensional Coordinates\\n', '\\n', "
│ │ │ │ │┄             "'Author: [Ryan Abernathey](https://github.com/rabernat)\\n', '\\n', 'Many datasets "
│ │ │ │ │┄             'have _physical coordinates_ which differ from their _logical coordinates_. Xarray '
│ │ │ │ │┄             "provides several ways to plot and analyze such datasets.'])]), "
│ │ │ │ │┄             "OrderedDict([('cell_type', 'code') […]
│ │ │ │ │ @@ -45,22 +45,22 @@
│ │ │ │ │                      "end_time": "2018-11-28T20:50:13.629720Z",
│ │ │ │ │                      "start_time": "2018-11-28T20:50:13.484542Z"
│ │ │ │ │                  }
│ │ │ │ │              },
│ │ │ │ │              "outputs": [
│ │ │ │ │                  {
│ │ │ │ │                      "ename": "FileNotFoundError",
│ │ │ │ │ -                    "evalue": "[Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'",
│ │ │ │ │ +                    "evalue": "[Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'",
│ │ │ │ │                      "output_type": "error",
│ │ │ │ │                      "traceback": [
│ │ │ │ │                          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
│ │ │ │ │                          "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
│ │ │ │ │                          "\u001b[0;32m<ipython-input-2-0eb806e38f7f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mxr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtutorial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'rasm'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py\u001b[0m in \u001b[0;36mopen_dataset\u001b[0;34m(name, cache, cache_dir, github_url, branch, **kws)\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0;31m# May want to add an option to remove it.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m             \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m         \u001b[0murl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"/\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgithub_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"raw\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbranch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfullname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ -                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'"
│ │ │ │ │ +                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'"
│ │ │ │ │                      ]
│ │ │ │ │                  }
│ │ │ │ │              ],
│ │ │ │ │              "source": [
│ │ │ │ │                  "ds = xr.tutorial.open_dataset('rasm').load()\n",
│ │ │ │ │                  "ds"
│ │ │ │ │              ]
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/visualization_gallery.html
│ │ │ @@ -531,15 +531,15 @@
│ │ │  <span class="ansi-green-fg">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py</span> in <span class="ansi-cyan-fg">open_dataset</span><span class="ansi-blue-fg">(name, cache, cache_dir, github_url, branch, **kws)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     76</span>         <span class="ansi-red-fg"># May want to add an option to remove it.</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     77</span>         <span class="ansi-green-fg">if</span> <span class="ansi-green-fg">not</span> _os<span class="ansi-blue-fg">.</span>path<span class="ansi-blue-fg">.</span>isdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-fg">---&gt; 78</span><span class="ansi-red-fg">             </span>_os<span class="ansi-blue-fg">.</span>mkdir<span class="ansi-blue-fg">(</span>longdir<span class="ansi-blue-fg">)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     79</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">     80</span>         url <span class="ansi-blue-fg">=</span> <span class="ansi-blue-fg">&#34;/&#34;</span><span class="ansi-blue-fg">.</span>join<span class="ansi-blue-fg">(</span><span class="ansi-blue-fg">(</span>github_url<span class="ansi-blue-fg">,</span> <span class="ansi-blue-fg">&#34;raw&#34;</span><span class="ansi-blue-fg">,</span> branch<span class="ansi-blue-fg">,</span> fullname<span class="ansi-blue-fg">)</span><span class="ansi-blue-fg">)</span>
│ │ │  
│ │ │ -<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/sbuild-nonexistent/.xarray_tutorial_data&#39;
│ │ │ +<span class="ansi-red-fg">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/nonexistent/.xarray_tutorial_data&#39;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  <div class="section" id="Multiple-plots-and-map-projections">
│ │ │  <h2>Multiple plots and map projections<a class="headerlink" href="#Multiple-plots-and-map-projections" title="Permalink to this headline">¶</a></h2>
│ │ │  <p>Control the map projection parameters on multiple axes</p>
│ │ │  <p>This example illustrates how to plot multiple maps and control their extent and aspect ratio.</p>
│ │ │  <p>For more details see <a class="reference external" href="https://github.com/pydata/xarray/issues/1397#issuecomment-299190567">this discussion</a> on github.</p>
│ │ │ @@ -757,15 +757,15 @@
│ │ │  </div>
│ │ │  <div class="nboutput docutils container">
│ │ │  <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[7]:
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <div class="output_area docutils container">
│ │ │  <div class="highlight"><pre>
│ │ │ -&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7f476cbe45b0&gt;
│ │ │ +&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7f8dd96245b0&gt;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  <div class="nboutput docutils container">
│ │ │  <div class="prompt empty docutils container">
│ │ │  </div>
│ │ │  <div class="output_area docutils container">
│ │ │  <div class="highlight"><pre>
│ │ │ @@ -963,15 +963,15 @@
│ │ │  <span class="ansi-green-fg">/usr/lib/python3.9/os.py</span> in <span class="ansi-cyan-fg">makedirs</span><span class="ansi-blue-fg">(name, mode, exist_ok)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">    223</span>             <span class="ansi-green-fg">return</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">    224</span>     <span class="ansi-green-fg">try</span><span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-fg">--&gt; 225</span><span class="ansi-red-fg">         </span>mkdir<span class="ansi-blue-fg">(</span>name<span class="ansi-blue-fg">,</span> mode<span class="ansi-blue-fg">)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">    226</span>     <span class="ansi-green-fg">except</span> OSError<span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">    227</span>         <span class="ansi-red-fg"># Cannot rely on checking for EEXIST, since the operating system</span>
│ │ │  
│ │ │ -<span class="ansi-red-fg">PermissionError</span>: [Errno 13] Permission denied: &#39;/sbuild-nonexistent&#39;
│ │ │ +<span class="ansi-red-fg">PermissionError</span>: [Errno 13] Permission denied: &#39;/nonexistent&#39;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  <div class="nboutput nblast docutils container">
│ │ │  <div class="prompt empty docutils container">
│ │ │  </div>
│ │ │  <div class="output_area docutils container">
│ │ │  <div class="highlight"><pre>
│ │ │ @@ -1019,15 +1019,15 @@
│ │ │  </div>
│ │ │  <div class="nboutput docutils container">
│ │ │  <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[8]:
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <div class="output_area docutils container">
│ │ │  <div class="highlight"><pre>
│ │ │ -&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7f476c91b1c0&gt;
│ │ │ +&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7f8dd935c160&gt;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  <div class="nboutput docutils container">
│ │ │  <div class="prompt empty docutils container">
│ │ │  </div>
│ │ │  <div class="output_area docutils container">
│ │ │  <div class="highlight"><pre>
│ │ │ @@ -1225,15 +1225,15 @@
│ │ │  <span class="ansi-green-fg">/usr/lib/python3.9/os.py</span> in <span class="ansi-cyan-fg">makedirs</span><span class="ansi-blue-fg">(name, mode, exist_ok)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">    223</span>             <span class="ansi-green-fg">return</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">    224</span>     <span class="ansi-green-fg">try</span><span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-fg">--&gt; 225</span><span class="ansi-red-fg">         </span>mkdir<span class="ansi-blue-fg">(</span>name<span class="ansi-blue-fg">,</span> mode<span class="ansi-blue-fg">)</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">    226</span>     <span class="ansi-green-fg">except</span> OSError<span class="ansi-blue-fg">:</span>
│ │ │  <span class="ansi-green-intense-fg ansi-bold">    227</span>         <span class="ansi-red-fg"># Cannot rely on checking for EEXIST, since the operating system</span>
│ │ │  
│ │ │ -<span class="ansi-red-fg">PermissionError</span>: [Errno 13] Permission denied: &#39;/sbuild-nonexistent&#39;
│ │ │ +<span class="ansi-red-fg">PermissionError</span>: [Errno 13] Permission denied: &#39;/nonexistent&#39;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  <div class="nboutput nblast docutils container">
│ │ │  <div class="prompt empty docutils container">
│ │ │  </div>
│ │ │  <div class="output_area docutils container">
│ │ │  <div class="highlight"><pre>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/visualization_gallery.ipynb.gz
│ │ │ ├── visualization_gallery.ipynb
│ │ │ │ │   --- /tmp/diffoscope_dn2f40t9_/tmp1mksro0bGzipContainer/c72523da-a4f1-4dcf-94bd-1a6779257800
│ │ │ │ ├── +++ /tmp/diffoscope_dn2f40t9_/tmpby9olxepGzipContainer/bfc2d9ee-21b0-4728-8046-4d7e7f75c564
│ │ │ │ │┄ Differences: {'replace': "OrderedDict([('cells', [OrderedDict([('cell_type', 'markdown'), ('metadata', "
│ │ │ │ │┄             "OrderedDict()), ('source', ['# Visualization Gallery\\n', '\\n', 'This notebook shows "
│ │ │ │ │┄             "common visualization issues encountered in Xarray.'])]), OrderedDict([('cell_type', "
│ │ │ │ │┄             "'code'), ('execution_count', 1), ('metadata', OrderedDict()), ('outputs', []), "
│ │ │ │ │┄             "('source', ['import cartopy.crs as ccrs\\n', 'import matplotlib.pyplot as plt\\n', "
│ │ │ │ │┄             "'import xarray  […]
│ │ │ │ │ @@ -31,23 +31,23 @@
│ │ │ │ │          {
│ │ │ │ │              "cell_type": "code",
│ │ │ │ │              "execution_count": 2,
│ │ │ │ │              "metadata": {},
│ │ │ │ │              "outputs": [
│ │ │ │ │                  {
│ │ │ │ │                      "ename": "FileNotFoundError",
│ │ │ │ │ -                    "evalue": "[Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'",
│ │ │ │ │ +                    "evalue": "[Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'",
│ │ │ │ │                      "output_type": "error",
│ │ │ │ │                      "traceback": [
│ │ │ │ │                          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
│ │ │ │ │                          "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
│ │ │ │ │                          "\u001b[0;32m<ipython-input-2-15c698672cac>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mxr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtutorial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'air_temperature'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
│ │ │ │ │                          "\u001b[0;32m/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py\u001b[0m in \u001b[0;36mload_dataset\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    111\u001b[0m     \u001b[0mopen_dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m     \"\"\"\n\u001b[0;32m--> 113\u001b[0;31m     \u001b[0;32mwith\u001b[0m \u001b[0mopen_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    114\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    115\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py\u001b[0m in \u001b[0;36mopen_dataset\u001b[0;34m(name, cache, cache_dir, github_url, branch, **kws)\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0;31m# May want to add an option to remove it.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m             \u001b[0m_os\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlongdir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m         \u001b[0murl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"/\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgithub_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"raw\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbranch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfullname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ -                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/sbuild-nonexistent/.xarray_tutorial_data'"
│ │ │ │ │ +                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/nonexistent/.xarray_tutorial_data'"
│ │ │ │ │                      ]
│ │ │ │ │                  }
│ │ │ │ │              ],
│ │ │ │ │              "source": [
│ │ │ │ │                  "ds = xr.tutorial.load_dataset('air_temperature')"
│ │ │ │ │              ]
│ │ │ │ │          },
│ │ │ │ │ @@ -269,24 +269,24 @@
│ │ │ │ │              "cell_type": "code",
│ │ │ │ │              "execution_count": 7,
│ │ │ │ │              "metadata": {},
│ │ │ │ │              "outputs": [
│ │ │ │ │                  {
│ │ │ │ │                      "data": {
│ │ │ │ │                          "text/plain": [
│ │ │ │ │ -                            "<cartopy.mpl.feature_artist.FeatureArtist at 0x7f476cbe45b0>"
│ │ │ │ │ +                            "<cartopy.mpl.feature_artist.FeatureArtist at 0x7f8dd96245b0>"
│ │ │ │ │                          ]
│ │ │ │ │                      },
│ │ │ │ │                      "execution_count": 7,
│ │ │ │ │                      "metadata": {},
│ │ │ │ │                      "output_type": "execute_result"
│ │ │ │ │                  },
│ │ │ │ │                  {
│ │ │ │ │                      "ename": "PermissionError",
│ │ │ │ │ -                    "evalue": "[Errno 13] Permission denied: '/sbuild-nonexistent'",
│ │ │ │ │ +                    "evalue": "[Errno 13] Permission denied: '/nonexistent'",
│ │ │ │ │                      "output_type": "error",
│ │ │ │ │                      "traceback": [
│ │ │ │ │                          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
│ │ │ │ │                          "\u001b[0;31mPermissionError\u001b[0m                           Traceback (most recent call last)",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3/dist-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    339\u001b[0m                 \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    340\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 341\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mprinter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    342\u001b[0m             \u001b[0;31m# Finally look for special method names\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    343\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_real_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_method\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3/dist-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(fig)\u001b[0m\n\u001b[1;32m    246\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    247\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'png'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 248\u001b[0;31m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'png'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    249\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'retina'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m'png2x'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mretina_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3/dist-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(fig, fmt, bbox_inches, **kwargs)\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0mFigureCanvasBase\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 132\u001b[0;31m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbytes_io\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    133\u001b[0m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbytes_io\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    134\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfmt\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'svg'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ @@ -311,15 +311,15 @@
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    223\u001b[0m             \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    224\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 225\u001b[0;31m         \u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    226\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    227\u001b[0m         \u001b[0;31m# Cannot rely on checking for EEXIST, since the operating system\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ -                        "\u001b[0;31mPermissionError\u001b[0m: [Errno 13] Permission denied: '/sbuild-nonexistent'"
│ │ │ │ │ +                        "\u001b[0;31mPermissionError\u001b[0m: [Errno 13] Permission denied: '/nonexistent'"
│ │ │ │ │                      ]
│ │ │ │ │                  },
│ │ │ │ │                  {
│ │ │ │ │                      "data": {
│ │ │ │ │                          "text/plain": [
│ │ │ │ │                              "<Figure size 432x288 with 1 Axes>"
│ │ │ │ │                          ]
│ │ │ │ │ @@ -363,24 +363,24 @@
│ │ │ │ │              "cell_type": "code",
│ │ │ │ │              "execution_count": 8,
│ │ │ │ │              "metadata": {},
│ │ │ │ │              "outputs": [
│ │ │ │ │                  {
│ │ │ │ │                      "data": {
│ │ │ │ │                          "text/plain": [
│ │ │ │ │ -                            "<cartopy.mpl.feature_artist.FeatureArtist at 0x7f476c91b1c0>"
│ │ │ │ │ +                            "<cartopy.mpl.feature_artist.FeatureArtist at 0x7f8dd935c160>"
│ │ │ │ │                          ]
│ │ │ │ │                      },
│ │ │ │ │                      "execution_count": 8,
│ │ │ │ │                      "metadata": {},
│ │ │ │ │                      "output_type": "execute_result"
│ │ │ │ │                  },
│ │ │ │ │                  {
│ │ │ │ │                      "ename": "PermissionError",
│ │ │ │ │ -                    "evalue": "[Errno 13] Permission denied: '/sbuild-nonexistent'",
│ │ │ │ │ +                    "evalue": "[Errno 13] Permission denied: '/nonexistent'",
│ │ │ │ │                      "output_type": "error",
│ │ │ │ │                      "traceback": [
│ │ │ │ │                          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
│ │ │ │ │                          "\u001b[0;31mPermissionError\u001b[0m                           Traceback (most recent call last)",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3/dist-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    339\u001b[0m                 \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    340\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 341\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mprinter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    342\u001b[0m             \u001b[0;31m# Finally look for special method names\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    343\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_real_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_method\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3/dist-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(fig)\u001b[0m\n\u001b[1;32m    246\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    247\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'png'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 248\u001b[0;31m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'png'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    249\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'retina'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m'png2x'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mretina_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3/dist-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(fig, fmt, bbox_inches, **kwargs)\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0mFigureCanvasBase\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 132\u001b[0;31m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbytes_io\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    133\u001b[0m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbytes_io\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    134\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfmt\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'svg'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ @@ -405,15 +405,15 @@
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    213\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhead\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtail\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileExistsError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0;31m# Defeats race condition when another thread created the path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │                          "\u001b[0;32m/usr/lib/python3.9/os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    223\u001b[0m             \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    224\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 225\u001b[0;31m         \u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    226\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    227\u001b[0m         \u001b[0;31m# Cannot rely on checking for EEXIST, since the operating system\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
│ │ │ │ │ -                        "\u001b[0;31mPermissionError\u001b[0m: [Errno 13] Permission denied: '/sbuild-nonexistent'"
│ │ │ │ │ +                        "\u001b[0;31mPermissionError\u001b[0m: [Errno 13] Permission denied: '/nonexistent'"
│ │ │ │ │                      ]
│ │ │ │ │                  },
│ │ │ │ │                  {
│ │ │ │ │                      "data": {
│ │ │ │ │                          "text/plain": [
│ │ │ │ │                              "<Figure size 432x288 with 1 Axes>"
│ │ │ │ │                          ]
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/weather-data.html
│ │ │ @@ -887,30 +887,30 @@
│ │ │  </style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;
│ │ │  Dimensions:   (location: 3, time: 731)
│ │ │  Coordinates:
│ │ │    * time      (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2001-12-31
│ │ │    * location  (location) &lt;U2 &#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;
│ │ │  Data variables:
│ │ │      tmin      (time, location) float64 -8.037 -1.788 -3.932 ... -1.346 -4.544
│ │ │ -    tmax      (time, location) float64 12.98 3.31 6.779 ... 6.636 3.343 3.805</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5cd67b9d-f96b-4c30-99b8-ed7f8e402776' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5cd67b9d-f96b-4c30-99b8-ed7f8e402776' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>location</span>: 3</li><li><span class='xr-has-index'>time</span>: 731</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-10f7085f-64fa-4bc3-989a-739d9d7bb7ab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-10f7085f-64fa-4bc3-989a-739d9d7bb7ab' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2001-12-31</div><input id='attrs-7f430272-6cf8-45fe-b36c-aea4bf320c0c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f430272-6cf8-45fe-b36c-aea4bf320c0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47bc94ad-5fe4-471a-a0d7-6377584a8bf0' class='xr-var-data-in' type='checkbox'><label for='data-47bc94ad-5fe4-471a-a0d7-6377584a8bf0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,
│ │ │ +    tmax      (time, location) float64 12.98 3.31 6.779 ... 6.636 3.343 3.805</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d474d750-a1b2-431f-8bb6-eb20e72a319f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d474d750-a1b2-431f-8bb6-eb20e72a319f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>location</span>: 3</li><li><span class='xr-has-index'>time</span>: 731</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6433026b-ab25-4031-872c-9aaf0a57f7bf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6433026b-ab25-4031-872c-9aaf0a57f7bf' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2001-12-31</div><input id='attrs-0b061a6e-a9db-425c-b15d-a107696f3903' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b061a6e-a9db-425c-b15d-a107696f3903' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17dbc52a-aac5-4694-919a-4f206ba74d1d' class='xr-var-data-in' type='checkbox'><label for='data-17dbc52a-aac5-4694-919a-4f206ba74d1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,
│ │ │         &#x27;2000-01-03T00:00:00.000000000&#x27;, ..., &#x27;2001-12-29T00:00:00.000000000&#x27;,
│ │ │         &#x27;2001-12-30T00:00:00.000000000&#x27;, &#x27;2001-12-31T00:00:00.000000000&#x27;],
│ │ │ -      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-148227ad-2dff-400b-8a6a-42f88a94b6dc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-148227ad-2dff-400b-8a6a-42f88a94b6dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87529ce0-d5c7-44d1-8e7f-a5b02c7e7463' class='xr-var-data-in' type='checkbox'><label for='data-87529ce0-d5c7-44d1-8e7f-a5b02c7e7463' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb8b299a-2e8d-488b-aeb9-4f9a13330f53' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb8b299a-2e8d-488b-aeb9-4f9a13330f53' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tmin</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.037 -1.788 ... -1.346 -4.544</div><input id='attrs-579353c7-613e-4b01-80d0-d797b0d2432a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-579353c7-613e-4b01-80d0-d797b0d2432a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbc32d11-afdf-4f6c-a02e-22262029fd60' class='xr-var-data-in' type='checkbox'><label for='data-dbc32d11-afdf-4f6c-a02e-22262029fd60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -8.03736932,  -1.78844117,  -3.93154201],
│ │ │ +      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-68423915-8fc9-4505-86eb-ee992cc27310' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68423915-8fc9-4505-86eb-ee992cc27310' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d97a0256-cefd-4bbc-9774-7c238fd3bfbd' class='xr-var-data-in' type='checkbox'><label for='data-d97a0256-cefd-4bbc-9774-7c238fd3bfbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f768cab7-fd73-485a-8ffc-020205dade36' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f768cab7-fd73-485a-8ffc-020205dade36' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tmin</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.037 -1.788 ... -1.346 -4.544</div><input id='attrs-dd7ad8c5-8ba6-49f1-8a5b-77be8e7a0304' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd7ad8c5-8ba6-49f1-8a5b-77be8e7a0304' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4208965-cb98-4181-839a-f816eb8ed4d1' class='xr-var-data-in' type='checkbox'><label for='data-e4208965-cb98-4181-839a-f816eb8ed4d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -8.03736932,  -1.78844117,  -3.93154201],
│ │ │         [ -9.34115662,  -6.55807323,   0.13203714],
│ │ │         [-12.13971902,  -6.14641918,  -1.06187252],
│ │ │         ...,
│ │ │         [ -5.34723825, -13.37459826,  -4.93221199],
│ │ │         [ -2.67283594,  -5.18072141,  -4.11567869],
│ │ │ -       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmax</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.98 3.31 6.779 ... 3.343 3.805</div><input id='attrs-8872405d-3f4e-4f34-87d8-57a46a2dc136' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8872405d-3f4e-4f34-87d8-57a46a2dc136' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c64c7cbe-5e64-42ac-a6c3-818a1c5f1dc1' class='xr-var-data-in' type='checkbox'><label for='data-c64c7cbe-5e64-42ac-a6c3-818a1c5f1dc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[12.98054898,  3.31040942,  6.77855382],
│ │ │ +       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmax</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.98 3.31 6.779 ... 3.343 3.805</div><input id='attrs-6526f43d-083a-4830-b295-858581f1e2cb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6526f43d-083a-4830-b295-858581f1e2cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e739887e-e294-4b93-a55e-6b440b6be7b9' class='xr-var-data-in' type='checkbox'><label for='data-e739887e-e294-4b93-a55e-6b440b6be7b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[12.98054898,  3.31040942,  6.77855382],
│ │ │         [ 0.44785582,  6.37271154,  4.8434966 ],
│ │ │         [ 5.32269851,  6.25176289,  5.98033045],
│ │ │         ...,
│ │ │         [ 6.73078492,  7.74795302,  8.04569651],
│ │ │         [ 6.46376911,  6.31695352,  1.55799171],
│ │ │ -       [ 6.63593435,  3.34271537,  3.80527925]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-84f63740-53d4-4e73-9794-32ffb2aa091f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-84f63740-53d4-4e73-9794-32ffb2aa091f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div>
│ │ │ +       [ 6.63593435,  3.34271537,  3.80527925]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8670c919-673c-4e49-82ba-814d8823b0a1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8670c919-673c-4e49-82ba-814d8823b0a1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div>
│ │ │  </div>
│ │ │  <div class="section" id="Examine-a-dataset-with-pandas-and-seaborn">
│ │ │  <h2>Examine a dataset with pandas and seaborn<a class="headerlink" href="#Examine-a-dataset-with-pandas-and-seaborn" title="Permalink to this headline">¶</a></h2>
│ │ │  <div class="section" id="Convert-to-a-pandas-DataFrame">
│ │ │  <h3>Convert to a pandas DataFrame<a class="headerlink" href="#Convert-to-a-pandas-DataFrame" title="Permalink to this headline">¶</a></h3>
│ │ │  <div class="nbinput docutils container">
│ │ │  <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]:
│ │ │ @@ -1110,15 +1110,15 @@
│ │ │  </div>
│ │ │  <div class="nboutput docutils container">
│ │ │  <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <div class="output_area docutils container">
│ │ │  <div class="highlight"><pre>
│ │ │ -&lt;seaborn.axisgrid.PairGrid at 0x7f5fc503e490&gt;
│ │ │ +&lt;seaborn.axisgrid.PairGrid at 0x7f87b3263820&gt;
│ │ │  </pre></div></div>
│ │ │  </div>
│ │ │  <div class="nboutput nblast docutils container">
│ │ │  <div class="prompt empty docutils container">
│ │ │  </div>
│ │ │  <div class="output_area docutils container">
│ │ │  <img alt="../_images/examples_weather-data_9_1.png" src="../_images/examples_weather-data_9_1.png" />
│ │ │ @@ -1505,26 +1505,26 @@
│ │ │         [0.        , 0.        , 0.        ],
│ │ │         [0.        , 0.        , 0.        ],
│ │ │         [0.        , 0.01612903, 0.        ],
│ │ │         [0.33333333, 0.35      , 0.23333333],
│ │ │         [0.93548387, 0.85483871, 0.82258065]])
│ │ │  Coordinates:
│ │ │    * location  (location) &lt;U2 &#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;
│ │ │ -  * month     (month) int64 1 2 3 4 5 6 7 8 9 10 11 12</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tmin'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>location</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e7363fd5-db32-4f67-824a-a3dcb05eb36d' class='xr-array-in' type='checkbox' checked><label for='section-e7363fd5-db32-4f67-824a-a3dcb05eb36d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9516 0.8871 0.9355 0.8421 0.7193 ... 0.2333 0.9355 0.8548 0.8226</span></div><div class='xr-array-data'><pre>array([[0.9516129 , 0.88709677, 0.93548387],
│ │ │ +  * month     (month) int64 1 2 3 4 5 6 7 8 9 10 11 12</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tmin'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>location</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e2409868-1d96-4597-bbf8-e62b6a076e45' class='xr-array-in' type='checkbox' checked><label for='section-e2409868-1d96-4597-bbf8-e62b6a076e45' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9516 0.8871 0.9355 0.8421 0.7193 ... 0.2333 0.9355 0.8548 0.8226</span></div><div class='xr-array-data'><pre>array([[0.9516129 , 0.88709677, 0.93548387],
│ │ │         [0.84210526, 0.71929825, 0.77192982],
│ │ │         [0.24193548, 0.12903226, 0.16129032],
│ │ │         [0.        , 0.        , 0.        ],
│ │ │         [0.        , 0.        , 0.        ],
│ │ │         [0.        , 0.        , 0.        ],
│ │ │         [0.        , 0.        , 0.        ],
│ │ │         [0.        , 0.        , 0.        ],
│ │ │         [0.        , 0.        , 0.        ],
│ │ │         [0.        , 0.01612903, 0.        ],
│ │ │         [0.33333333, 0.35      , 0.23333333],
│ │ │ -       [0.93548387, 0.85483871, 0.82258065]])</pre></div></div></li><li class='xr-section-item'><input id='section-06fe6afb-db64-431b-a054-29b2691c0687' class='xr-section-summary-in' type='checkbox'  checked><label for='section-06fe6afb-db64-431b-a054-29b2691c0687' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-f5b44651-bec7-406d-9d96-120691e3f18a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f5b44651-bec7-406d-9d96-120691e3f18a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-327128ac-7c6e-4dde-898a-682d3851be91' class='xr-var-data-in' type='checkbox'><label for='data-327128ac-7c6e-4dde-898a-682d3851be91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-238eb99b-d0e4-437c-bbc6-4cbd950f5beb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-238eb99b-d0e4-437c-bbc6-4cbd950f5beb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bcdee58-64f9-494c-856c-0e55a18cae94' class='xr-var-data-in' type='checkbox'><label for='data-0bcdee58-64f9-494c-856c-0e55a18cae94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-faf7e5dd-c4fa-4ad0-a758-1b18a2d1a9b1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-faf7e5dd-c4fa-4ad0-a758-1b18a2d1a9b1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div>
│ │ │ +       [0.93548387, 0.85483871, 0.82258065]])</pre></div></div></li><li class='xr-section-item'><input id='section-7cb9f1e8-52d9-4b12-bd6b-45df22a01f0c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7cb9f1e8-52d9-4b12-bd6b-45df22a01f0c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-6928b472-d48b-4f18-b212-f5a0c836742c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6928b472-d48b-4f18-b212-f5a0c836742c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bd76194-636f-4c6c-9363-08eaa959f481' class='xr-var-data-in' type='checkbox'><label for='data-0bd76194-636f-4c6c-9363-08eaa959f481' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-0198dd2c-c66a-4c7b-bb4e-af5c78a5ec6a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0198dd2c-c66a-4c7b-bb4e-af5c78a5ec6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a97d495-70be-4d75-8b7c-195918557eca' class='xr-var-data-in' type='checkbox'><label for='data-7a97d495-70be-4d75-8b7c-195918557eca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ecb36ee-18fb-4785-bb48-f2a6fa296e9b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7ecb36ee-18fb-4785-bb48-f2a6fa296e9b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div>
│ │ │  </div>
│ │ │  <div class="nbinput docutils container">
│ │ │  <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[7]:
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
│ │ │  <span></span><span class="n">freeze</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
│ │ │ @@ -2023,18 +2023,18 @@
│ │ │  Dimensions:       (location: 3, time: 731)
│ │ │  Coordinates:
│ │ │    * time          (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2001-12-31
│ │ │    * location      (location) object &#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;
│ │ │      month         (time) int64 1 1 1 1 1 1 1 1 1 ... 12 12 12 12 12 12 12 12 12
│ │ │  Data variables:
│ │ │      some_missing  (time, location) float64 nan nan nan ... 2.063 -1.346 -4.544
│ │ │ -    filled        (time, location) float64 -5.163 -4.216 ... -1.346 -4.544</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4b9c7840-8e2a-4939-b50f-2c4a59425af1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b9c7840-8e2a-4939-b50f-2c4a59425af1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>location</span>: 3</li><li><span class='xr-has-index'>time</span>: 731</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c9ea9e15-28ca-4641-ba6f-15608945ddd5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c9ea9e15-28ca-4641-ba6f-15608945ddd5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2001-12-31</div><input id='attrs-bcecf64b-1724-4b33-836a-2842793949ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bcecf64b-1724-4b33-836a-2842793949ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17774377-e1cc-4ba9-aff8-b46f9cddfbbd' class='xr-var-data-in' type='checkbox'><label for='data-17774377-e1cc-4ba9-aff8-b46f9cddfbbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,
│ │ │ +    filled        (time, location) float64 -5.163 -4.216 ... -1.346 -4.544</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e3901a94-69bc-4912-9bef-a3d3f1b0d736' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e3901a94-69bc-4912-9bef-a3d3f1b0d736' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>location</span>: 3</li><li><span class='xr-has-index'>time</span>: 731</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6339a121-1c9f-4848-877f-b88b32fad189' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6339a121-1c9f-4848-877f-b88b32fad189' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2001-12-31</div><input id='attrs-38008074-d5fc-431a-9561-09642dac7a5a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38008074-d5fc-431a-9561-09642dac7a5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be3d61b2-fbf6-4cf0-92ef-6e5c3db01ae5' class='xr-var-data-in' type='checkbox'><label for='data-be3d61b2-fbf6-4cf0-92ef-6e5c3db01ae5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,
│ │ │         &#x27;2000-01-03T00:00:00.000000000&#x27;, ..., &#x27;2001-12-29T00:00:00.000000000&#x27;,
│ │ │         &#x27;2001-12-30T00:00:00.000000000&#x27;, &#x27;2001-12-31T00:00:00.000000000&#x27;],
│ │ │ -      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-e06da8c2-b02f-47e3-8211-841ae00eff65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e06da8c2-b02f-47e3-8211-841ae00eff65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ae4b1db-6771-4db0-b112-6d12532fe050' class='xr-var-data-in' type='checkbox'><label for='data-7ae4b1db-6771-4db0-b112-6d12532fe050' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 ... 12 12 12 12 12 12</div><input id='attrs-76b0c3f2-4be6-4182-a546-ac3509678ac3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-76b0c3f2-4be6-4182-a546-ac3509678ac3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32876781-d7cb-4510-9292-95a7d08d6a01' class='xr-var-data-in' type='checkbox'><label for='data-32876781-d7cb-4510-9292-95a7d08d6a01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,
│ │ │ +      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-03b49b30-4cfc-4fce-95bf-a9b93d763dc7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-03b49b30-4cfc-4fce-95bf-a9b93d763dc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a058f08-c484-4556-bb94-c848c5d9d87e' class='xr-var-data-in' type='checkbox'><label for='data-3a058f08-c484-4556-bb94-c848c5d9d87e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 ... 12 12 12 12 12 12</div><input id='attrs-177f5da3-43c3-4a40-b031-2bab7a0d03d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-177f5da3-43c3-4a40-b031-2bab7a0d03d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df04e77b-4d25-4346-8f72-f97f0213c05b' class='xr-var-data-in' type='checkbox'><label for='data-df04e77b-4d25-4346-8f72-f97f0213c05b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,
│ │ │          1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  2,  2,  2,
│ │ │          2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,
│ │ │          2,  2,  2,  2,  2,  2,  2,  2,  2,  3,  3,  3,  3,  3,  3,  3,  3,
│ │ │          3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,
│ │ │          3,  3,  3,  3,  3,  3,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,
│ │ │          4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,
│ │ │          4,  4,  5,  5,  5,  5,  5,  5,  5,  5,  5,  5,  5,  5,  5,  5,  5,
│ │ │ @@ -2066,27 +2066,27 @@
│ │ │          8,  8,  8,  8,  8,  8,  8,  8,  8,  8,  8,  8,  8,  8,  9,  9,  9,
│ │ │          9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,
│ │ │          9,  9,  9,  9,  9,  9,  9,  9,  9,  9, 10, 10, 10, 10, 10, 10, 10,
│ │ │         10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
│ │ │         10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11,
│ │ │         11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11,
│ │ │         11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
│ │ │ -       12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3016bf6e-d9e9-4a09-9a73-7496d322b4c3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3016bf6e-d9e9-4a09-9a73-7496d322b4c3' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>some_missing</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 2.063 -1.346 -4.544</div><input id='attrs-812f87b6-d7d2-41c5-97e4-dae5dd759fb8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-812f87b6-d7d2-41c5-97e4-dae5dd759fb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2069102c-59df-40ee-a32c-012af50d81db' class='xr-var-data-in' type='checkbox'><label for='data-2069102c-59df-40ee-a32c-012af50d81db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[         nan,          nan,          nan],
│ │ │ +       12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-10a0cba3-7676-4ca3-9a47-20981a6a95a0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-10a0cba3-7676-4ca3-9a47-20981a6a95a0' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>some_missing</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 2.063 -1.346 -4.544</div><input id='attrs-3a75510e-8541-43e7-a85a-7c2d567d9b54' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a75510e-8541-43e7-a85a-7c2d567d9b54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbd76917-8d32-424d-aeba-5536df3fedd1' class='xr-var-data-in' type='checkbox'><label for='data-dbd76917-8d32-424d-aeba-5536df3fedd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[         nan,          nan,          nan],
│ │ │         [         nan,          nan,          nan],
│ │ │         [         nan,          nan,          nan],
│ │ │         ...,
│ │ │         [ -5.34723825, -13.37459826,  -4.93221199],
│ │ │         [ -2.67283594,  -5.18072141,  -4.11567869],
│ │ │ -       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filled</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.163 -4.216 ... -1.346 -4.544</div><input id='attrs-99b6ed61-0fe7-4422-8f1d-009e610d3dc7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99b6ed61-0fe7-4422-8f1d-009e610d3dc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa6aefc5-8e86-4dc2-8e5c-aca1f3f227b8' class='xr-var-data-in' type='checkbox'><label for='data-fa6aefc5-8e86-4dc2-8e5c-aca1f3f227b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -5.16274935,  -4.21616663,  -4.68137385],
│ │ │ +       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filled</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.163 -4.216 ... -1.346 -4.544</div><input id='attrs-73b987c1-d14c-4f36-b09c-0665aa45f6af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73b987c1-d14c-4f36-b09c-0665aa45f6af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-813e53ac-48ba-48d7-ac6a-16aa341b98dc' class='xr-var-data-in' type='checkbox'><label for='data-813e53ac-48ba-48d7-ac6a-16aa341b98dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -5.16274935,  -4.21616663,  -4.68137385],
│ │ │         [ -5.16274935,  -4.21616663,  -4.68137385],
│ │ │         [ -5.16274935,  -4.21616663,  -4.68137385],
│ │ │         ...,
│ │ │         [ -5.34723825, -13.37459826,  -4.93221199],
│ │ │         [ -2.67283594,  -5.18072141,  -4.11567869],
│ │ │ -       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5320e5f-e3f8-4d05-8d86-46e30d5c6970' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a5320e5f-e3f8-4d05-8d86-46e30d5c6970' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div>
│ │ │ +       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af98c61b-b16e-4d6d-84d5-a18db0e6e2b9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-af98c61b-b16e-4d6d-84d5-a18db0e6e2b9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div>
│ │ │  </div>
│ │ │  <div class="nbinput docutils container">
│ │ │  <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[12]:
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
│ │ │  <span></span><span class="n">df</span> <span class="o">=</span> <span class="n">both</span><span class="o">.</span><span class="n">sel</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="s2">&quot;2000&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="s2">&quot;location&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">reset_coords</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span><span class="o">.</span><span class="n">to_dataframe</span><span class="p">()</span>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/examples/weather-data.ipynb.gz
│ │ │ ├── weather-data.ipynb
│ │ │ │ │   --- /tmp/diffoscope_dn2f40t9_/tmp4jx_hwdvGzipContainer/d8a4f346-05ae-4a06-91a7-f51bedab518d
│ │ │ │ ├── +++ /tmp/diffoscope_dn2f40t9_/tmpv05d_lxlGzipContainer/3d2cbaef-5a4e-4f51-ad90-24d3faa9d4e7
│ │ │ │ │┄ Differences: {'replace': "OrderedDict([('cells', [OrderedDict([('cell_type', 'markdown'), ('metadata', "
│ │ │ │ │┄             "OrderedDict()), ('source', ['# Toy weather data\\n', '\\n', 'Here is an example of "
│ │ │ │ │┄             "how to easily manipulate a toy weather dataset using\\n', 'xarray and other "
│ │ │ │ │┄             "recommended Python libraries:'])]), OrderedDict([('cell_type', 'code'), "
│ │ │ │ │┄             "('execution_count', 1), ('metadata', OrderedDict([('ExecuteTime', "
│ │ │ │ │┄             "OrderedDict([('end_time', '2020-01-27T15:43:36.127 […]
│ │ │ │ │ @@ -377,30 +377,30 @@
│ │ │ │ │                              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
│ │ │ │ │                              "Dimensions:   (location: 3, time: 731)\n",
│ │ │ │ │                              "Coordinates:\n",
│ │ │ │ │                              "  * time      (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2001-12-31\n",
│ │ │ │ │                              "  * location  (location) &lt;U2 &#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;\n",
│ │ │ │ │                              "Data variables:\n",
│ │ │ │ │                              "    tmin      (time, location) float64 -8.037 -1.788 -3.932 ... -1.346 -4.544\n",
│ │ │ │ │ -                            "    tmax      (time, location) float64 12.98 3.31 6.779 ... 6.636 3.343 3.805</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5cd67b9d-f96b-4c30-99b8-ed7f8e402776' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5cd67b9d-f96b-4c30-99b8-ed7f8e402776' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>location</span>: 3</li><li><span class='xr-has-index'>time</span>: 731</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-10f7085f-64fa-4bc3-989a-739d9d7bb7ab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-10f7085f-64fa-4bc3-989a-739d9d7bb7ab' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2001-12-31</div><input id='attrs-7f430272-6cf8-45fe-b36c-aea4bf320c0c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f430272-6cf8-45fe-b36c-aea4bf320c0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47bc94ad-5fe4-471a-a0d7-6377584a8bf0' class='xr-var-data-in' type='checkbox'><label for='data-47bc94ad-5fe4-471a-a0d7-6377584a8bf0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,\n",
│ │ │ │ │ +                            "    tmax      (time, location) float64 12.98 3.31 6.779 ... 6.636 3.343 3.805</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d474d750-a1b2-431f-8bb6-eb20e72a319f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d474d750-a1b2-431f-8bb6-eb20e72a319f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>location</span>: 3</li><li><span class='xr-has-index'>time</span>: 731</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6433026b-ab25-4031-872c-9aaf0a57f7bf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6433026b-ab25-4031-872c-9aaf0a57f7bf' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2001-12-31</div><input id='attrs-0b061a6e-a9db-425c-b15d-a107696f3903' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b061a6e-a9db-425c-b15d-a107696f3903' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17dbc52a-aac5-4694-919a-4f206ba74d1d' class='xr-var-data-in' type='checkbox'><label for='data-17dbc52a-aac5-4694-919a-4f206ba74d1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,\n",
│ │ │ │ │                              "       &#x27;2000-01-03T00:00:00.000000000&#x27;, ..., &#x27;2001-12-29T00:00:00.000000000&#x27;,\n",
│ │ │ │ │                              "       &#x27;2001-12-30T00:00:00.000000000&#x27;, &#x27;2001-12-31T00:00:00.000000000&#x27;],\n",
│ │ │ │ │ -                            "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-148227ad-2dff-400b-8a6a-42f88a94b6dc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-148227ad-2dff-400b-8a6a-42f88a94b6dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87529ce0-d5c7-44d1-8e7f-a5b02c7e7463' class='xr-var-data-in' type='checkbox'><label for='data-87529ce0-d5c7-44d1-8e7f-a5b02c7e7463' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb8b299a-2e8d-488b-aeb9-4f9a13330f53' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb8b299a-2e8d-488b-aeb9-4f9a13330f53' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tmin</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.037 -1.788 ... -1.346 -4.544</div><input id='attrs-579353c7-613e-4b01-80d0-d797b0d2432a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-579353c7-613e-4b01-80d0-d797b0d2432a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbc32d11-afdf-4f6c-a02e-22262029fd60' class='xr-var-data-in' type='checkbox'><label for='data-dbc32d11-afdf-4f6c-a02e-22262029fd60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -8.03736932,  -1.78844117,  -3.93154201],\n",
│ │ │ │ │ +                            "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-68423915-8fc9-4505-86eb-ee992cc27310' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68423915-8fc9-4505-86eb-ee992cc27310' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d97a0256-cefd-4bbc-9774-7c238fd3bfbd' class='xr-var-data-in' type='checkbox'><label for='data-d97a0256-cefd-4bbc-9774-7c238fd3bfbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f768cab7-fd73-485a-8ffc-020205dade36' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f768cab7-fd73-485a-8ffc-020205dade36' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tmin</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.037 -1.788 ... -1.346 -4.544</div><input id='attrs-dd7ad8c5-8ba6-49f1-8a5b-77be8e7a0304' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd7ad8c5-8ba6-49f1-8a5b-77be8e7a0304' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4208965-cb98-4181-839a-f816eb8ed4d1' class='xr-var-data-in' type='checkbox'><label for='data-e4208965-cb98-4181-839a-f816eb8ed4d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -8.03736932,  -1.78844117,  -3.93154201],\n",
│ │ │ │ │                              "       [ -9.34115662,  -6.55807323,   0.13203714],\n",
│ │ │ │ │                              "       [-12.13971902,  -6.14641918,  -1.06187252],\n",
│ │ │ │ │                              "       ...,\n",
│ │ │ │ │                              "       [ -5.34723825, -13.37459826,  -4.93221199],\n",
│ │ │ │ │                              "       [ -2.67283594,  -5.18072141,  -4.11567869],\n",
│ │ │ │ │ -                            "       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmax</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.98 3.31 6.779 ... 3.343 3.805</div><input id='attrs-8872405d-3f4e-4f34-87d8-57a46a2dc136' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8872405d-3f4e-4f34-87d8-57a46a2dc136' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c64c7cbe-5e64-42ac-a6c3-818a1c5f1dc1' class='xr-var-data-in' type='checkbox'><label for='data-c64c7cbe-5e64-42ac-a6c3-818a1c5f1dc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[12.98054898,  3.31040942,  6.77855382],\n",
│ │ │ │ │ +                            "       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmax</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.98 3.31 6.779 ... 3.343 3.805</div><input id='attrs-6526f43d-083a-4830-b295-858581f1e2cb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6526f43d-083a-4830-b295-858581f1e2cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e739887e-e294-4b93-a55e-6b440b6be7b9' class='xr-var-data-in' type='checkbox'><label for='data-e739887e-e294-4b93-a55e-6b440b6be7b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[12.98054898,  3.31040942,  6.77855382],\n",
│ │ │ │ │                              "       [ 0.44785582,  6.37271154,  4.8434966 ],\n",
│ │ │ │ │                              "       [ 5.32269851,  6.25176289,  5.98033045],\n",
│ │ │ │ │                              "       ...,\n",
│ │ │ │ │                              "       [ 6.73078492,  7.74795302,  8.04569651],\n",
│ │ │ │ │                              "       [ 6.46376911,  6.31695352,  1.55799171],\n",
│ │ │ │ │ -                            "       [ 6.63593435,  3.34271537,  3.80527925]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-84f63740-53d4-4e73-9794-32ffb2aa091f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-84f63740-53d4-4e73-9794-32ffb2aa091f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
│ │ │ │ │ +                            "       [ 6.63593435,  3.34271537,  3.80527925]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8670c919-673c-4e49-82ba-814d8823b0a1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8670c919-673c-4e49-82ba-814d8823b0a1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
│ │ │ │ │                          ],
│ │ │ │ │                          "text/plain": [
│ │ │ │ │                              "<xarray.Dataset>\n",
│ │ │ │ │                              "Dimensions:   (location: 3, time: 731)\n",
│ │ │ │ │                              "Coordinates:\n",
│ │ │ │ │                              "  * time      (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2001-12-31\n",
│ │ │ │ │                              "  * location  (location) <U2 'IA' 'IN' 'IL'\n",
│ │ │ │ │ @@ -711,15 +711,15 @@
│ │ │ │ │                      "start_time": "2020-01-27T15:47:37.202479Z"
│ │ │ │ │                  }
│ │ │ │ │              },
│ │ │ │ │              "outputs": [
│ │ │ │ │                  {
│ │ │ │ │                      "data": {
│ │ │ │ │                          "text/plain": [
│ │ │ │ │ -                            "<seaborn.axisgrid.PairGrid at 0x7f5fc503e490>"
│ │ │ │ │ +                            "<seaborn.axisgrid.PairGrid at 0x7f87b3263820>"
│ │ │ │ │                          ]
│ │ │ │ │                      },
│ │ │ │ │                      "execution_count": 5,
│ │ │ │ │                      "metadata": {},
│ │ │ │ │                      "output_type": "execute_result"
│ │ │ │ │                  },
│ │ │ │ │                  {
│ │ │ │ │ @@ -1121,26 +1121,26 @@
│ │ │ │ │                              "       [0.        , 0.        , 0.        ],\n",
│ │ │ │ │                              "       [0.        , 0.        , 0.        ],\n",
│ │ │ │ │                              "       [0.        , 0.01612903, 0.        ],\n",
│ │ │ │ │                              "       [0.33333333, 0.35      , 0.23333333],\n",
│ │ │ │ │                              "       [0.93548387, 0.85483871, 0.82258065]])\n",
│ │ │ │ │                              "Coordinates:\n",
│ │ │ │ │                              "  * location  (location) &lt;U2 &#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;\n",
│ │ │ │ │ -                            "  * month     (month) int64 1 2 3 4 5 6 7 8 9 10 11 12</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tmin'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>location</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e7363fd5-db32-4f67-824a-a3dcb05eb36d' class='xr-array-in' type='checkbox' checked><label for='section-e7363fd5-db32-4f67-824a-a3dcb05eb36d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9516 0.8871 0.9355 0.8421 0.7193 ... 0.2333 0.9355 0.8548 0.8226</span></div><div class='xr-array-data'><pre>array([[0.9516129 , 0.88709677, 0.93548387],\n",
│ │ │ │ │ +                            "  * month     (month) int64 1 2 3 4 5 6 7 8 9 10 11 12</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tmin'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>location</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e2409868-1d96-4597-bbf8-e62b6a076e45' class='xr-array-in' type='checkbox' checked><label for='section-e2409868-1d96-4597-bbf8-e62b6a076e45' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.9516 0.8871 0.9355 0.8421 0.7193 ... 0.2333 0.9355 0.8548 0.8226</span></div><div class='xr-array-data'><pre>array([[0.9516129 , 0.88709677, 0.93548387],\n",
│ │ │ │ │                              "       [0.84210526, 0.71929825, 0.77192982],\n",
│ │ │ │ │                              "       [0.24193548, 0.12903226, 0.16129032],\n",
│ │ │ │ │                              "       [0.        , 0.        , 0.        ],\n",
│ │ │ │ │                              "       [0.        , 0.        , 0.        ],\n",
│ │ │ │ │                              "       [0.        , 0.        , 0.        ],\n",
│ │ │ │ │                              "       [0.        , 0.        , 0.        ],\n",
│ │ │ │ │                              "       [0.        , 0.        , 0.        ],\n",
│ │ │ │ │                              "       [0.        , 0.        , 0.        ],\n",
│ │ │ │ │                              "       [0.        , 0.01612903, 0.        ],\n",
│ │ │ │ │                              "       [0.33333333, 0.35      , 0.23333333],\n",
│ │ │ │ │ -                            "       [0.93548387, 0.85483871, 0.82258065]])</pre></div></div></li><li class='xr-section-item'><input id='section-06fe6afb-db64-431b-a054-29b2691c0687' class='xr-section-summary-in' type='checkbox'  checked><label for='section-06fe6afb-db64-431b-a054-29b2691c0687' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-f5b44651-bec7-406d-9d96-120691e3f18a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f5b44651-bec7-406d-9d96-120691e3f18a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-327128ac-7c6e-4dde-898a-682d3851be91' class='xr-var-data-in' type='checkbox'><label for='data-327128ac-7c6e-4dde-898a-682d3851be91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-238eb99b-d0e4-437c-bbc6-4cbd950f5beb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-238eb99b-d0e4-437c-bbc6-4cbd950f5beb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bcdee58-64f9-494c-856c-0e55a18cae94' class='xr-var-data-in' type='checkbox'><label for='data-0bcdee58-64f9-494c-856c-0e55a18cae94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-faf7e5dd-c4fa-4ad0-a758-1b18a2d1a9b1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-faf7e5dd-c4fa-4ad0-a758-1b18a2d1a9b1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
│ │ │ │ │ +                            "       [0.93548387, 0.85483871, 0.82258065]])</pre></div></div></li><li class='xr-section-item'><input id='section-7cb9f1e8-52d9-4b12-bd6b-45df22a01f0c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7cb9f1e8-52d9-4b12-bd6b-45df22a01f0c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-6928b472-d48b-4f18-b212-f5a0c836742c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6928b472-d48b-4f18-b212-f5a0c836742c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bd76194-636f-4c6c-9363-08eaa959f481' class='xr-var-data-in' type='checkbox'><label for='data-0bd76194-636f-4c6c-9363-08eaa959f481' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-0198dd2c-c66a-4c7b-bb4e-af5c78a5ec6a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0198dd2c-c66a-4c7b-bb4e-af5c78a5ec6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a97d495-70be-4d75-8b7c-195918557eca' class='xr-var-data-in' type='checkbox'><label for='data-7a97d495-70be-4d75-8b7c-195918557eca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ecb36ee-18fb-4785-bb48-f2a6fa296e9b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7ecb36ee-18fb-4785-bb48-f2a6fa296e9b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
│ │ │ │ │                          ],
│ │ │ │ │                          "text/plain": [
│ │ │ │ │                              "<xarray.DataArray 'tmin' (month: 12, location: 3)>\n",
│ │ │ │ │                              "array([[0.9516129 , 0.88709677, 0.93548387],\n",
│ │ │ │ │                              "       [0.84210526, 0.71929825, 0.77192982],\n",
│ │ │ │ │                              "       [0.24193548, 0.12903226, 0.16129032],\n",
│ │ │ │ │                              "       [0.        , 0.        , 0.        ],\n",
│ │ │ │ │ @@ -1760,18 +1760,18 @@
│ │ │ │ │                              "Dimensions:       (location: 3, time: 731)\n",
│ │ │ │ │                              "Coordinates:\n",
│ │ │ │ │                              "  * time          (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2001-12-31\n",
│ │ │ │ │                              "  * location      (location) object &#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;\n",
│ │ │ │ │                              "    month         (time) int64 1 1 1 1 1 1 1 1 1 ... 12 12 12 12 12 12 12 12 12\n",
│ │ │ │ │                              "Data variables:\n",
│ │ │ │ │                              "    some_missing  (time, location) float64 nan nan nan ... 2.063 -1.346 -4.544\n",
│ │ │ │ │ -                            "    filled        (time, location) float64 -5.163 -4.216 ... -1.346 -4.544</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4b9c7840-8e2a-4939-b50f-2c4a59425af1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b9c7840-8e2a-4939-b50f-2c4a59425af1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>location</span>: 3</li><li><span class='xr-has-index'>time</span>: 731</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c9ea9e15-28ca-4641-ba6f-15608945ddd5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c9ea9e15-28ca-4641-ba6f-15608945ddd5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2001-12-31</div><input id='attrs-bcecf64b-1724-4b33-836a-2842793949ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bcecf64b-1724-4b33-836a-2842793949ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17774377-e1cc-4ba9-aff8-b46f9cddfbbd' class='xr-var-data-in' type='checkbox'><label for='data-17774377-e1cc-4ba9-aff8-b46f9cddfbbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,\n",
│ │ │ │ │ +                            "    filled        (time, location) float64 -5.163 -4.216 ... -1.346 -4.544</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e3901a94-69bc-4912-9bef-a3d3f1b0d736' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e3901a94-69bc-4912-9bef-a3d3f1b0d736' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>location</span>: 3</li><li><span class='xr-has-index'>time</span>: 731</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6339a121-1c9f-4848-877f-b88b32fad189' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6339a121-1c9f-4848-877f-b88b32fad189' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2001-12-31</div><input id='attrs-38008074-d5fc-431a-9561-09642dac7a5a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38008074-d5fc-431a-9561-09642dac7a5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be3d61b2-fbf6-4cf0-92ef-6e5c3db01ae5' class='xr-var-data-in' type='checkbox'><label for='data-be3d61b2-fbf6-4cf0-92ef-6e5c3db01ae5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,\n",
│ │ │ │ │                              "       &#x27;2000-01-03T00:00:00.000000000&#x27;, ..., &#x27;2001-12-29T00:00:00.000000000&#x27;,\n",
│ │ │ │ │                              "       &#x27;2001-12-30T00:00:00.000000000&#x27;, &#x27;2001-12-31T00:00:00.000000000&#x27;],\n",
│ │ │ │ │ -                            "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-e06da8c2-b02f-47e3-8211-841ae00eff65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e06da8c2-b02f-47e3-8211-841ae00eff65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ae4b1db-6771-4db0-b112-6d12532fe050' class='xr-var-data-in' type='checkbox'><label for='data-7ae4b1db-6771-4db0-b112-6d12532fe050' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 ... 12 12 12 12 12 12</div><input id='attrs-76b0c3f2-4be6-4182-a546-ac3509678ac3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-76b0c3f2-4be6-4182-a546-ac3509678ac3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32876781-d7cb-4510-9292-95a7d08d6a01' class='xr-var-data-in' type='checkbox'><label for='data-32876781-d7cb-4510-9292-95a7d08d6a01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,\n",
│ │ │ │ │ +                            "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>location</span></div><div class='xr-var-dims'>(location)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;IA&#x27; &#x27;IN&#x27; &#x27;IL&#x27;</div><input id='attrs-03b49b30-4cfc-4fce-95bf-a9b93d763dc7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-03b49b30-4cfc-4fce-95bf-a9b93d763dc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a058f08-c484-4556-bb94-c848c5d9d87e' class='xr-var-data-in' type='checkbox'><label for='data-3a058f08-c484-4556-bb94-c848c5d9d87e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;IA&#x27;, &#x27;IN&#x27;, &#x27;IL&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 ... 12 12 12 12 12 12</div><input id='attrs-177f5da3-43c3-4a40-b031-2bab7a0d03d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-177f5da3-43c3-4a40-b031-2bab7a0d03d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df04e77b-4d25-4346-8f72-f97f0213c05b' class='xr-var-data-in' type='checkbox'><label for='data-df04e77b-4d25-4346-8f72-f97f0213c05b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,\n",
│ │ │ │ │                              "        1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  2,  2,  2,\n",
│ │ │ │ │                              "        2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,\n",
│ │ │ │ │                              "        2,  2,  2,  2,  2,  2,  2,  2,  2,  3,  3,  3,  3,  3,  3,  3,  3,\n",
│ │ │ │ │                              "        3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,  3,\n",
│ │ │ │ │                              "        3,  3,  3,  3,  3,  3,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,\n",
│ │ │ │ │                              "        4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,  4,\n",
│ │ │ │ │                              "        4,  4,  5,  5,  5,  5,  5,  5,  5,  5,  5,  5,  5,  5,  5,  5,  5,\n",
│ │ │ │ │ @@ -1803,27 +1803,27 @@
│ │ │ │ │                              "        8,  8,  8,  8,  8,  8,  8,  8,  8,  8,  8,  8,  8,  8,  9,  9,  9,\n",
│ │ │ │ │                              "        9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,  9,\n",
│ │ │ │ │                              "        9,  9,  9,  9,  9,  9,  9,  9,  9,  9, 10, 10, 10, 10, 10, 10, 10,\n",
│ │ │ │ │                              "       10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,\n",
│ │ │ │ │                              "       10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11,\n",
│ │ │ │ │                              "       11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11,\n",
│ │ │ │ │                              "       11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,\n",
│ │ │ │ │ -                            "       12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3016bf6e-d9e9-4a09-9a73-7496d322b4c3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3016bf6e-d9e9-4a09-9a73-7496d322b4c3' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>some_missing</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 2.063 -1.346 -4.544</div><input id='attrs-812f87b6-d7d2-41c5-97e4-dae5dd759fb8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-812f87b6-d7d2-41c5-97e4-dae5dd759fb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2069102c-59df-40ee-a32c-012af50d81db' class='xr-var-data-in' type='checkbox'><label for='data-2069102c-59df-40ee-a32c-012af50d81db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[         nan,          nan,          nan],\n",
│ │ │ │ │ +                            "       12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-10a0cba3-7676-4ca3-9a47-20981a6a95a0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-10a0cba3-7676-4ca3-9a47-20981a6a95a0' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>some_missing</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 2.063 -1.346 -4.544</div><input id='attrs-3a75510e-8541-43e7-a85a-7c2d567d9b54' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a75510e-8541-43e7-a85a-7c2d567d9b54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbd76917-8d32-424d-aeba-5536df3fedd1' class='xr-var-data-in' type='checkbox'><label for='data-dbd76917-8d32-424d-aeba-5536df3fedd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[         nan,          nan,          nan],\n",
│ │ │ │ │                              "       [         nan,          nan,          nan],\n",
│ │ │ │ │                              "       [         nan,          nan,          nan],\n",
│ │ │ │ │                              "       ...,\n",
│ │ │ │ │                              "       [ -5.34723825, -13.37459826,  -4.93221199],\n",
│ │ │ │ │                              "       [ -2.67283594,  -5.18072141,  -4.11567869],\n",
│ │ │ │ │ -                            "       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filled</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.163 -4.216 ... -1.346 -4.544</div><input id='attrs-99b6ed61-0fe7-4422-8f1d-009e610d3dc7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99b6ed61-0fe7-4422-8f1d-009e610d3dc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa6aefc5-8e86-4dc2-8e5c-aca1f3f227b8' class='xr-var-data-in' type='checkbox'><label for='data-fa6aefc5-8e86-4dc2-8e5c-aca1f3f227b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -5.16274935,  -4.21616663,  -4.68137385],\n",
│ │ │ │ │ +                            "       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filled</span></div><div class='xr-var-dims'>(time, location)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.163 -4.216 ... -1.346 -4.544</div><input id='attrs-73b987c1-d14c-4f36-b09c-0665aa45f6af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73b987c1-d14c-4f36-b09c-0665aa45f6af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-813e53ac-48ba-48d7-ac6a-16aa341b98dc' class='xr-var-data-in' type='checkbox'><label for='data-813e53ac-48ba-48d7-ac6a-16aa341b98dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -5.16274935,  -4.21616663,  -4.68137385],\n",
│ │ │ │ │                              "       [ -5.16274935,  -4.21616663,  -4.68137385],\n",
│ │ │ │ │                              "       [ -5.16274935,  -4.21616663,  -4.68137385],\n",
│ │ │ │ │                              "       ...,\n",
│ │ │ │ │                              "       [ -5.34723825, -13.37459826,  -4.93221199],\n",
│ │ │ │ │                              "       [ -2.67283594,  -5.18072141,  -4.11567869],\n",
│ │ │ │ │ -                            "       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5320e5f-e3f8-4d05-8d86-46e30d5c6970' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a5320e5f-e3f8-4d05-8d86-46e30d5c6970' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
│ │ │ │ │ +                            "       [  2.06327582,  -1.34576404,  -4.54392729]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af98c61b-b16e-4d6d-84d5-a18db0e6e2b9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-af98c61b-b16e-4d6d-84d5-a18db0e6e2b9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
│ │ │ │ │                          ],
│ │ │ │ │                          "text/plain": [
│ │ │ │ │                              "<xarray.Dataset>\n",
│ │ │ │ │                              "Dimensions:       (location: 3, time: 731)\n",
│ │ │ │ │                              "Coordinates:\n",
│ │ │ │ │                              "  * time          (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2001-12-31\n",
│ │ │ │ │                              "  * location      (location) object 'IA' 'IN' 'IL'\n",
│ │ ├── ./usr/share/doc/python-xarray-doc/html/indexing.html
│ │ │ @@ -873,15 +873,15 @@
│ │ │  <span class="nn">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py</span> in <span class="ni">open_dataset</span><span class="nt">(name, cache, cache_dir, github_url, branch, **kws)</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">76</span>         <span class="c1"># May want to add an option to remove it.</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">77</span>         <span class="k">if</span> <span class="ow">not</span> <span class="n">_os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isdir</span><span class="p">(</span><span class="n">longdir</span><span class="p">):</span>
│ │ │  <span class="ne">---&gt; </span><span class="mi">78</span>             <span class="n">_os</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">longdir</span><span class="p">)</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">79</span> 
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">80</span>         <span class="n">url</span> <span class="o">=</span> <span class="s2">&quot;/&quot;</span><span class="o">.</span><span class="n">join</span><span class="p">((</span><span class="n">github_url</span><span class="p">,</span> <span class="s2">&quot;raw&quot;</span><span class="p">,</span> <span class="n">branch</span><span class="p">,</span> <span class="n">fullname</span><span class="p">))</span>
│ │ │  
│ │ │ -<span class="ne">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/sbuild-nonexistent/.xarray_tutorial_data&#39;
│ │ │ +<span class="ne">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/nonexistent/.xarray_tutorial_data&#39;
│ │ │  
│ │ │  <span class="c1"># add an empty 2D dataarray</span>
│ │ │  <span class="gp">In [54]: </span><span class="n">ds</span><span class="p">[</span><span class="s2">&quot;empty&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">full_like</span><span class="p">(</span><span class="n">ds</span><span class="o">.</span><span class="n">air</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="s2">&quot;time&quot;</span><span class="p">),</span> <span class="n">fill_value</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
│ │ │  <span class="gt">---------------------------------------------------------------------------</span>
│ │ │  <span class="ne">AttributeError</span><span class="g g-Whitespace">                            </span>Traceback (most recent call last)
│ │ │  <span class="o">&lt;</span><span class="n">ipython</span><span class="o">-</span><span class="nb">input</span><span class="o">-</span><span class="mi">54</span><span class="o">-</span><span class="mi">6709</span><span class="n">edaff03d</span><span class="o">&gt;</span> <span class="ow">in</span> <span class="o">&lt;</span><span class="n">module</span><span class="o">&gt;</span>
│ │ │  <span class="ne">----&gt; </span><span class="mi">1</span> <span class="n">ds</span><span class="p">[</span><span class="s2">&quot;empty&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">full_like</span><span class="p">(</span><span class="n">ds</span><span class="o">.</span><span class="n">air</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="s2">&quot;time&quot;</span><span class="p">),</span> <span class="n">fill_value</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/internals.html
│ │ │ @@ -429,18 +429,18 @@
│ │ │  <span class="nn">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py</span> in <span class="ni">open_dataset</span><span class="nt">(name, cache, cache_dir, github_url, branch, **kws)</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">76</span><span class="s2">         # May want to add an option to remove it.</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">77</span><span class="s2">         if not _os.path.isdir(longdir):</span>
│ │ │  <span class="ne">---&gt; </span><span class="mi">78</span><span class="s2">             _os.mkdir(longdir)</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">79</span><span class="s2"> </span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">80</span><span class="s2">         url = &quot;/&quot;.join((github_url, &quot;raw&quot;, branch, fullname))</span>
│ │ │  
│ │ │ -<span class="ne">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/sbuild-nonexistent/.xarray_tutorial_data&#39;
│ │ │ +<span class="ne">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/nonexistent/.xarray_tutorial_data&#39;
│ │ │  
│ │ │  <span class="gp">In [5]: </span><span class="n">ds</span><span class="o">.</span><span class="n">to_zarr</span><span class="p">(</span><span class="s2">&quot;rasm.zarr&quot;</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;w&quot;</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[5]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f705ccf9520&gt;</span>
│ │ │ +<span class="gh">Out[5]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f78581b08e0&gt;</span>
│ │ │  
│ │ │  <span class="gp">In [6]: </span><span class="kn">import</span> <span class="nn">zarr</span>
│ │ │  
│ │ │  <span class="gp">In [7]: </span><span class="n">zgroup</span> <span class="o">=</span> <span class="n">zarr</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s2">&quot;rasm.zarr&quot;</span><span class="p">)</span>
│ │ │  
│ │ │  <span class="gp">In [8]: </span><span class="nb">print</span><span class="p">(</span><span class="n">zgroup</span><span class="o">.</span><span class="n">tree</span><span class="p">())</span>
│ │ │  <span class="go">/</span>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/interpolation.html
│ │ │ @@ -406,24 +406,24 @@
│ │ │  <span class="gp">   ....: </span>    <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">,</span> <span class="mi">10</span><span class="p">)),</span>
│ │ │  <span class="gp">   ....: </span>    <span class="n">dims</span><span class="o">=</span><span class="s2">&quot;x&quot;</span><span class="p">,</span>
│ │ │  <span class="gp">   ....: </span>    <span class="n">coords</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">10</span><span class="p">)},</span>
│ │ │  <span class="gp">   ....: </span><span class="p">)</span>
│ │ │  <span class="gp">   ....: </span>
│ │ │  
│ │ │  <span class="gp">In [17]: </span><span class="n">da</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">line</span><span class="p">(</span><span class="s2">&quot;o&quot;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;original&quot;</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[17]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f705d1eeb20&gt;]</span>
│ │ │ +<span class="gh">Out[17]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f78586da400&gt;]</span>
│ │ │  
│ │ │  <span class="gp">In [18]: </span><span class="n">da</span><span class="o">.</span><span class="n">interp</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">100</span><span class="p">))</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">line</span><span class="p">(</span><span class="n">label</span><span class="o">=</span><span class="s2">&quot;linear (default)&quot;</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[18]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f705d1d8220&gt;]</span>
│ │ │ +<span class="gh">Out[18]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f7858761ca0&gt;]</span>
│ │ │  
│ │ │  <span class="gp">In [19]: </span><span class="n">da</span><span class="o">.</span><span class="n">interp</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">100</span><span class="p">),</span> <span class="n">method</span><span class="o">=</span><span class="s2">&quot;cubic&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">line</span><span class="p">(</span><span class="n">label</span><span class="o">=</span><span class="s2">&quot;cubic&quot;</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[19]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f705d1d8eb0&gt;]</span>
│ │ │ +<span class="gh">Out[19]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f78587617c0&gt;]</span>
│ │ │  
│ │ │  <span class="gp">In [20]: </span><span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
│ │ │ -<span class="gh">Out[20]: </span><span class="go">&lt;matplotlib.legend.Legend at 0x7f705cfc7340&gt;</span>
│ │ │ +<span class="gh">Out[20]: </span><span class="go">&lt;matplotlib.legend.Legend at 0x7f785861c3a0&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <a class="reference internal image-reference" href="_images/interpolation_sample1.png"><img alt="_images/interpolation_sample1.png" src="_images/interpolation_sample1.png" style="width: 4in;" /></a>
│ │ │  <p>Additional keyword arguments can be passed to scipy’s functions.</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="go"># fill 0 for the outside of the original coordinates.</span>
│ │ │  <span class="gp">In [21]: </span><span class="n">da</span><span class="o">.</span><span class="n">interp</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="o">-</span><span class="mf">0.5</span><span class="p">,</span> <span class="mf">1.5</span><span class="p">,</span> <span class="mi">10</span><span class="p">),</span> <span class="n">kwargs</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;fill_value&quot;</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">})</span>
│ │ │  <span class="gh">Out[21]: </span><span class="go"></span>
│ │ │ @@ -609,15 +609,15 @@
│ │ │  <span class="nn">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py</span> in <span class="ni">open_dataset</span><span class="nt">(name, cache, cache_dir, github_url, branch, **kws)</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">76</span>         <span class="c1"># May want to add an option to remove it.</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">77</span>         <span class="k">if</span> <span class="ow">not</span> <span class="n">_os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isdir</span><span class="p">(</span><span class="n">longdir</span><span class="p">):</span>
│ │ │  <span class="ne">---&gt; </span><span class="mi">78</span>             <span class="n">_os</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">longdir</span><span class="p">)</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">79</span> 
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">80</span>         <span class="n">url</span> <span class="o">=</span> <span class="s2">&quot;/&quot;</span><span class="o">.</span><span class="n">join</span><span class="p">((</span><span class="n">github_url</span><span class="p">,</span> <span class="s2">&quot;raw&quot;</span><span class="p">,</span> <span class="n">branch</span><span class="p">,</span> <span class="n">fullname</span><span class="p">))</span>
│ │ │  
│ │ │ -<span class="ne">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/sbuild-nonexistent/.xarray_tutorial_data&#39;
│ │ │ +<span class="ne">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/nonexistent/.xarray_tutorial_data&#39;
│ │ │  
│ │ │  <span class="gp">In [45]: </span><span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">ncols</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
│ │ │  
│ │ │  <span class="gp">In [46]: </span><span class="n">ds</span><span class="o">.</span><span class="n">air</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
│ │ │  <span class="gt">---------------------------------------------------------------------------</span>
│ │ │  <span class="ne">AttributeError</span><span class="g g-Whitespace">                            </span>Traceback (most recent call last)
│ │ │  <span class="o">&lt;</span><span class="n">ipython</span><span class="o">-</span><span class="nb">input</span><span class="o">-</span><span class="mi">46</span><span class="o">-</span><span class="n">cb8f083667be</span><span class="o">&gt;</span> <span class="ow">in</span> <span class="o">&lt;</span><span class="n">module</span><span class="o">&gt;</span>
│ │ │ @@ -764,15 +764,15 @@
│ │ │  <span class="nn">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/core/utils.py</span> in <span class="ni">drop_dims_from_indexers</span><span class="nt">(indexers, dims, missing_dims)</span>
│ │ │  <span class="g g-Whitespace">    </span><span class="mi">766</span>         <span class="n">invalid</span> <span class="o">=</span> <span class="n">indexers</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">dims</span><span class="p">)</span>
│ │ │  <span class="g g-Whitespace">    </span><span class="mi">767</span>         <span class="k">if</span> <span class="n">invalid</span><span class="p">:</span>
│ │ │  <span class="ne">--&gt; </span><span class="mi">768</span>             <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
│ │ │  <span class="g g-Whitespace">    </span><span class="mi">769</span>                 <span class="sa">f</span><span class="s2">&quot;dimensions </span><span class="si">{</span><span class="n">invalid</span><span class="si">}</span><span class="s2"> do not exist. Expected one or more of </span><span class="si">{</span><span class="n">dims</span><span class="si">}</span><span class="s2">&quot;</span>
│ │ │  <span class="g g-Whitespace">    </span><span class="mi">770</span>             <span class="p">)</span>
│ │ │  
│ │ │ -<span class="ne">ValueError</span>: dimensions {&#39;lat&#39;, &#39;lon&#39;} do not exist. Expected one or more of Frozen(SortedKeysDict({&#39;longitude&#39;: 50, &#39;latitude&#39;: 50}))
│ │ │ +<span class="ne">ValueError</span>: dimensions {&#39;lon&#39;, &#39;lat&#39;} do not exist. Expected one or more of Frozen(SortedKeysDict({&#39;longitude&#39;: 50, &#39;latitude&#39;: 50}))
│ │ │  
│ │ │  <span class="gp">In [63]: </span><span class="n">dsi</span><span class="o">.</span><span class="n">air</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
│ │ │  <span class="gt">---------------------------------------------------------------------------</span>
│ │ │  <span class="ne">NameError</span><span class="g g-Whitespace">                                 </span>Traceback (most recent call last)
│ │ │  <span class="o">&lt;</span><span class="n">ipython</span><span class="o">-</span><span class="nb">input</span><span class="o">-</span><span class="mi">63</span><span class="o">-</span><span class="mf">433e5</span><span class="n">c8b0d13</span><span class="o">&gt;</span> <span class="ow">in</span> <span class="o">&lt;</span><span class="n">module</span><span class="o">&gt;</span>
│ │ │  <span class="ne">----&gt; </span><span class="mi">1</span> <span class="n">dsi</span><span class="o">.</span><span class="n">air</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/io.html
│ │ │ @@ -1057,15 +1057,15 @@
│ │ │  <span class="gp">   ....: </span>        <span class="s2">&quot;y&quot;</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">date_range</span><span class="p">(</span><span class="s2">&quot;2000-01-01&quot;</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">5</span><span class="p">),</span>
│ │ │  <span class="gp">   ....: </span>        <span class="s2">&quot;z&quot;</span><span class="p">:</span> <span class="p">(</span><span class="s2">&quot;x&quot;</span><span class="p">,</span> <span class="nb">list</span><span class="p">(</span><span class="s2">&quot;abcd&quot;</span><span class="p">)),</span>
│ │ │  <span class="gp">   ....: </span>    <span class="p">},</span>
│ │ │  <span class="gp">   ....: </span><span class="p">)</span>
│ │ │  <span class="gp">   ....: </span>
│ │ │  
│ │ │  <span class="gp">In [39]: </span><span class="n">ds</span><span class="o">.</span><span class="n">to_zarr</span><span class="p">(</span><span class="s2">&quot;path/to/directory.zarr&quot;</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[39]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f705cca5520&gt;</span>
│ │ │ +<span class="gh">Out[39]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f786c187940&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <p>(The suffix <code class="docutils literal notranslate"><span class="pre">.zarr</span></code> is optional–just a reminder that a zarr store lives
│ │ │  there.) If the directory does not exist, it will be created. If a zarr
│ │ │  store is already present at that path, an error will be raised, preventing it
│ │ │  from being overwritten. To override this behavior and overwrite an existing
│ │ │  store, add <code class="docutils literal notranslate"><span class="pre">mode='w'</span></code> when invoking <code class="xref py py-meth docutils literal notranslate"><span class="pre">to_zarr()</span></code>.</p>
│ │ │ @@ -1111,15 +1111,15 @@
│ │ │  These options can be passed to the <code class="docutils literal notranslate"><span class="pre">to_zarr</span></code> method as variable encoding.
│ │ │  For example:</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [42]: </span><span class="kn">import</span> <span class="nn">zarr</span>
│ │ │  
│ │ │  <span class="gp">In [43]: </span><span class="n">compressor</span> <span class="o">=</span> <span class="n">zarr</span><span class="o">.</span><span class="n">Blosc</span><span class="p">(</span><span class="n">cname</span><span class="o">=</span><span class="s2">&quot;zstd&quot;</span><span class="p">,</span> <span class="n">clevel</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
│ │ │  
│ │ │  <span class="gp">In [44]: </span><span class="n">ds</span><span class="o">.</span><span class="n">to_zarr</span><span class="p">(</span><span class="s2">&quot;foo.zarr&quot;</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;foo&quot;</span><span class="p">:</span> <span class="p">{</span><span class="s2">&quot;compressor&quot;</span><span class="p">:</span> <span class="n">compressor</span><span class="p">}})</span>
│ │ │ -<span class="gh">Out[44]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f705cca56a0&gt;</span>
│ │ │ +<span class="gh">Out[44]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f786c397580&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <div class="admonition note">
│ │ │  <p class="admonition-title">Note</p>
│ │ │  <p>Not all native zarr compression and filtering options have been tested with
│ │ │  xarray.</p>
│ │ │  </div>
│ │ │ @@ -1180,28 +1180,28 @@
│ │ │  <span class="gp">   ....: </span>        <span class="s2">&quot;y&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">],</span>
│ │ │  <span class="gp">   ....: </span>        <span class="s2">&quot;t&quot;</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">date_range</span><span class="p">(</span><span class="s2">&quot;2001-01-01&quot;</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">2</span><span class="p">),</span>
│ │ │  <span class="gp">   ....: </span>    <span class="p">},</span>
│ │ │  <span class="gp">   ....: </span><span class="p">)</span>
│ │ │  <span class="gp">   ....: </span>
│ │ │  
│ │ │  <span class="gp">In [46]: </span><span class="n">ds1</span><span class="o">.</span><span class="n">to_zarr</span><span class="p">(</span><span class="s2">&quot;path/to/directory.zarr&quot;</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[46]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f705c99e280&gt;</span>
│ │ │ +<span class="gh">Out[46]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f786c2a5640&gt;</span>
│ │ │  
│ │ │  <span class="gp">In [47]: </span><span class="n">ds2</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span>
│ │ │  <span class="gp">   ....: </span>    <span class="p">{</span><span class="s2">&quot;foo&quot;</span><span class="p">:</span> <span class="p">((</span><span class="s2">&quot;x&quot;</span><span class="p">,</span> <span class="s2">&quot;y&quot;</span><span class="p">,</span> <span class="s2">&quot;t&quot;</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">2</span><span class="p">))},</span>
│ │ │  <span class="gp">   ....: </span>    <span class="n">coords</span><span class="o">=</span><span class="p">{</span>
│ │ │  <span class="gp">   ....: </span>        <span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">40</span><span class="p">],</span>
│ │ │  <span class="gp">   ....: </span>        <span class="s2">&quot;y&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">],</span>
│ │ │  <span class="gp">   ....: </span>        <span class="s2">&quot;t&quot;</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">date_range</span><span class="p">(</span><span class="s2">&quot;2001-01-03&quot;</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">2</span><span class="p">),</span>
│ │ │  <span class="gp">   ....: </span>    <span class="p">},</span>
│ │ │  <span class="gp">   ....: </span><span class="p">)</span>
│ │ │  <span class="gp">   ....: </span>
│ │ │  
│ │ │  <span class="gp">In [48]: </span><span class="n">ds2</span><span class="o">.</span><span class="n">to_zarr</span><span class="p">(</span><span class="s2">&quot;path/to/directory.zarr&quot;</span><span class="p">,</span> <span class="n">append_dim</span><span class="o">=</span><span class="s2">&quot;t&quot;</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[48]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f705c99e340&gt;</span>
│ │ │ +<span class="gh">Out[48]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f7858586f40&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <p>Finally, you can use <code class="docutils literal notranslate"><span class="pre">region</span></code> to write to limited regions of existing arrays
│ │ │  in an existing Zarr store. This is a good option for writing data in parallel
│ │ │  from independent processes.</p>
│ │ │  <p>To scale this up to writing large datasets, the first step is creating an
│ │ │  initial Zarr store without writing all of its array data. This can be done by
│ │ │ @@ -1216,33 +1216,33 @@
│ │ │  
│ │ │  <span class="gp">In [51]: </span><span class="n">ds</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">({</span><span class="s2">&quot;foo&quot;</span><span class="p">:</span> <span class="p">(</span><span class="s2">&quot;x&quot;</span><span class="p">,</span> <span class="n">dummies</span><span class="p">)})</span>
│ │ │  
│ │ │  <span class="gp">In [52]: </span><span class="n">path</span> <span class="o">=</span> <span class="s2">&quot;path/to/directory.zarr&quot;</span>
│ │ │  
│ │ │  <span class="go"># Now we write the metadata without computing any array values</span>
│ │ │  <span class="gp">In [53]: </span><span class="n">ds</span><span class="o">.</span><span class="n">to_zarr</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">compute</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">consolidated</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[53]: </span><span class="go">Delayed(&#39;_finalize_store-1cf228a7-668a-4a9d-814a-cc1458d05c32&#39;)</span>
│ │ │ +<span class="gh">Out[53]: </span><span class="go">Delayed(&#39;_finalize_store-cc2bed2f-261c-4b61-88b7-125cc58608fb&#39;)</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <p>Now, a Zarr store with the correct variable shapes and attributes exists that
│ │ │  can be filled out by subsequent calls to <code class="docutils literal notranslate"><span class="pre">to_zarr</span></code>. The <code class="docutils literal notranslate"><span class="pre">region</span></code> provides a
│ │ │  mapping from dimension names to Python <code class="docutils literal notranslate"><span class="pre">slice</span></code> objects indicating where the
│ │ │  data should be written (in index space, not coordinate space), e.g.,</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="go"># For convenience, we&#39;ll slice a single dataset, but in the real use-case</span>
│ │ │  <span class="go"># we would create them separately, possibly even from separate processes.</span>
│ │ │  <span class="gp">In [54]: </span><span class="n">ds</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">({</span><span class="s2">&quot;foo&quot;</span><span class="p">:</span> <span class="p">(</span><span class="s2">&quot;x&quot;</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">30</span><span class="p">))})</span>
│ │ │  
│ │ │  <span class="gp">In [55]: </span><span class="n">ds</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="nb">slice</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span><span class="o">.</span><span class="n">to_zarr</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="nb">slice</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">)})</span>
│ │ │ -<span class="gh">Out[55]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f705cca5dc0&gt;</span>
│ │ │ +<span class="gh">Out[55]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f786c187fa0&gt;</span>
│ │ │  
│ │ │  <span class="gp">In [56]: </span><span class="n">ds</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="nb">slice</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">20</span><span class="p">))</span><span class="o">.</span><span class="n">to_zarr</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="nb">slice</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">20</span><span class="p">)})</span>
│ │ │ -<span class="gh">Out[56]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f705c99e8e0&gt;</span>
│ │ │ +<span class="gh">Out[56]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f788431f460&gt;</span>
│ │ │  
│ │ │  <span class="gp">In [57]: </span><span class="n">ds</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="nb">slice</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">30</span><span class="p">))</span><span class="o">.</span><span class="n">to_zarr</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">region</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="nb">slice</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">30</span><span class="p">)})</span>
│ │ │ -<span class="gh">Out[57]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f707160ef40&gt;</span>
│ │ │ +<span class="gh">Out[57]: </span><span class="go">&lt;xarray.backends.zarr.ZarrStore at 0x7f786fba5520&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <p>Concurrent writes with <code class="docutils literal notranslate"><span class="pre">region</span></code> are safe as long as they modify distinct
│ │ │  chunks in the underlying Zarr arrays (or use an appropriate <code class="docutils literal notranslate"><span class="pre">lock</span></code>).</p>
│ │ │  <p>As a safety check to make it harder to inadvertently override existing values,
│ │ │  if you set <code class="docutils literal notranslate"><span class="pre">region</span></code> then <em>all</em> variables included in a Dataset must have
│ │ │  dimensions included in <code class="docutils literal notranslate"><span class="pre">region</span></code>. Other variables (typically coordinates)
│ │ ├── ./usr/share/doc/python-xarray-doc/html/plotting.html
│ │ │ @@ -324,15 +324,15 @@
│ │ │  <span class="nn">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py</span> in <span class="ni">open_dataset</span><span class="nt">(name, cache, cache_dir, github_url, branch, **kws)</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">76</span>         <span class="c1"># May want to add an option to remove it.</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">77</span>         <span class="k">if</span> <span class="ow">not</span> <span class="n">_os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isdir</span><span class="p">(</span><span class="n">longdir</span><span class="p">):</span>
│ │ │  <span class="ne">---&gt; </span><span class="mi">78</span>             <span class="n">_os</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">longdir</span><span class="p">)</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">79</span> 
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">80</span>         <span class="n">url</span> <span class="o">=</span> <span class="s2">&quot;/&quot;</span><span class="o">.</span><span class="n">join</span><span class="p">((</span><span class="n">github_url</span><span class="p">,</span> <span class="s2">&quot;raw&quot;</span><span class="p">,</span> <span class="n">branch</span><span class="p">,</span> <span class="n">fullname</span><span class="p">))</span>
│ │ │  
│ │ │ -<span class="ne">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/sbuild-nonexistent/.xarray_tutorial_data&#39;
│ │ │ +<span class="ne">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/nonexistent/.xarray_tutorial_data&#39;
│ │ │  
│ │ │  <span class="gp">In [6]: </span><span class="n">airtemps</span>
│ │ │  <span class="gt">---------------------------------------------------------------------------</span>
│ │ │  <span class="ne">NameError</span><span class="g g-Whitespace">                                 </span>Traceback (most recent call last)
│ │ │  <span class="o">&lt;</span><span class="n">ipython</span><span class="o">-</span><span class="nb">input</span><span class="o">-</span><span class="mi">6</span><span class="o">-</span><span class="n">eb57b540ddce</span><span class="o">&gt;</span> <span class="ow">in</span> <span class="o">&lt;</span><span class="n">module</span><span class="o">&gt;</span>
│ │ │  <span class="ne">----&gt; </span><span class="mi">1</span> <span class="n">airtemps</span>
│ │ │  
│ │ │ @@ -850,15 +850,15 @@
│ │ │  <span class="ne">--&gt; </span><span class="mi">171</span>         <span class="n">ref_var</span> <span class="o">=</span> <span class="n">variables</span><span class="p">[</span><span class="n">ref_name</span><span class="p">]</span>
│ │ │  <span class="g g-Whitespace">    </span><span class="mi">172</span> 
│ │ │  <span class="g g-Whitespace">    </span><span class="mi">173</span>     <span class="k">if</span> <span class="n">var_name</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
│ │ │  
│ │ │  <span class="ne">KeyError</span>: &#39;lat&#39;
│ │ │  
│ │ │  <span class="gp">In [51]: </span><span class="n">b</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
│ │ │ -<span class="gh">Out[51]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f705c7f07f0&gt;]</span>
│ │ │ +<span class="gh">Out[51]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f78384f5280&gt;]</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <a class="reference internal image-reference" href="_images/plotting_nonuniform_coords.png"><img alt="_images/plotting_nonuniform_coords.png" src="_images/plotting_nonuniform_coords.png" style="width: 4in;" /></a>
│ │ │  </div>
│ │ │  <div class="section" id="calling-matplotlib">
│ │ │  <h4>Calling Matplotlib<a class="headerlink" href="#calling-matplotlib" title="Permalink to this headline">¶</a></h4>
│ │ │  <p>Since this is a thin wrapper around matplotlib, all the functionality of
│ │ │ @@ -1312,56 +1312,56 @@
│ │ │  <span class="go">Data variables:</span>
│ │ │  <span class="go">    A        (x, y, z, w) float64 -0.104 0.02719 -0.0425 ... -0.1175 -0.0183</span>
│ │ │  <span class="go">    B        (x, y, z, w) float64 0.0 0.0 0.0 0.0 ... 1.369 1.408 1.387 1.417</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <p>Suppose we want to scatter <code class="docutils literal notranslate"><span class="pre">A</span></code> against <code class="docutils literal notranslate"><span class="pre">B</span></code></p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [95]: </span><span class="n">ds</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;B&quot;</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[95]: </span><span class="go">&lt;matplotlib.collections.PathCollection at 0x7f705d20d730&gt;</span>
│ │ │ +<span class="gh">Out[95]: </span><span class="go">&lt;matplotlib.collections.PathCollection at 0x7f786c2a3ac0&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <img alt="_images/ds_simple_scatter.png" src="_images/ds_simple_scatter.png" />
│ │ │  <p>The <code class="docutils literal notranslate"><span class="pre">hue</span></code> kwarg lets you vary the color by variable value</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [96]: </span><span class="n">ds</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;B&quot;</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="s2">&quot;w&quot;</span><span class="p">)</span>
│ │ │  <span class="gh">Out[96]: </span><span class="go"></span>
│ │ │ -<span class="go">[&lt;matplotlib.collections.PathCollection at 0x7f705cf0aa30&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f705cf792e0&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f705cf50eb0&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f705d6f07c0&gt;]</span>
│ │ │ +<span class="go">[&lt;matplotlib.collections.PathCollection at 0x7f786fc28640&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f786ff11d90&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f786fc3bd30&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f78586c4c70&gt;]</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <img alt="_images/ds_hue_scatter.png" src="_images/ds_hue_scatter.png" />
│ │ │  <p>When <code class="docutils literal notranslate"><span class="pre">hue</span></code> is specified, a colorbar is added for numeric <code class="docutils literal notranslate"><span class="pre">hue</span></code> DataArrays by
│ │ │  default and a legend is added for non-numeric <code class="docutils literal notranslate"><span class="pre">hue</span></code> DataArrays (as above).
│ │ │  You can force a legend instead of a colorbar by setting <code class="docutils literal notranslate"><span class="pre">hue_style='discrete'</span></code>.
│ │ │  Additionally, the boolean kwarg <code class="docutils literal notranslate"><span class="pre">add_guide</span></code> can be used to prevent the display of a legend or colorbar (as appropriate).</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [97]: </span><span class="n">ds</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">w</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">5</span><span class="p">])</span>
│ │ │  
│ │ │  <span class="gp">In [98]: </span><span class="n">ds</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;B&quot;</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="s2">&quot;w&quot;</span><span class="p">,</span> <span class="n">hue_style</span><span class="o">=</span><span class="s2">&quot;discrete&quot;</span><span class="p">)</span>
│ │ │  <span class="gh">Out[98]: </span><span class="go"></span>
│ │ │ -<span class="go">[&lt;matplotlib.collections.PathCollection at 0x7f70719bad60&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f70716e6fa0&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f705cfeda60&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f705c6d4c40&gt;]</span>
│ │ │ +<span class="go">[&lt;matplotlib.collections.PathCollection at 0x7f7858600760&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f785844aa00&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f78584317f0&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f78583b0340&gt;]</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <img alt="_images/ds_discrete_legend_hue_scatter.png" src="_images/ds_discrete_legend_hue_scatter.png" />
│ │ │  <p>The <code class="docutils literal notranslate"><span class="pre">markersize</span></code> kwarg lets you vary the point’s size by variable value. You can additionally pass <code class="docutils literal notranslate"><span class="pre">size_norm</span></code> to control how the variable’s values are mapped to point sizes.</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [99]: </span><span class="n">ds</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;B&quot;</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="s2">&quot;z&quot;</span><span class="p">,</span> <span class="n">hue_style</span><span class="o">=</span><span class="s2">&quot;discrete&quot;</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="s2">&quot;z&quot;</span><span class="p">)</span>
│ │ │  <span class="gh">Out[99]: </span><span class="go"></span>
│ │ │ -<span class="go">[&lt;matplotlib.collections.PathCollection at 0x7f705c692bb0&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f705c6a1d00&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f705c692e20&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f705c6a1ee0&gt;]</span>
│ │ │ +<span class="go">[&lt;matplotlib.collections.PathCollection at 0x7f78384ceee0&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f78384cea90&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f786fb7f400&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.collections.PathCollection at 0x7f786fb700d0&gt;]</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <img alt="_images/ds_hue_size_scatter.png" src="_images/ds_hue_size_scatter.png" />
│ │ │  <p>Faceting is also possible</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [100]: </span><span class="n">ds</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;A&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;B&quot;</span><span class="p">,</span> <span class="n">col</span><span class="o">=</span><span class="s2">&quot;x&quot;</span><span class="p">,</span> <span class="n">row</span><span class="o">=</span><span class="s2">&quot;z&quot;</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="s2">&quot;w&quot;</span><span class="p">,</span> <span class="n">hue_style</span><span class="o">=</span><span class="s2">&quot;discrete&quot;</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[100]: </span><span class="go">&lt;xarray.plot.facetgrid.FacetGrid at 0x7f705c6f99d0&gt;</span>
│ │ │ +<span class="gh">Out[100]: </span><span class="go">&lt;xarray.plot.facetgrid.FacetGrid at 0x7f786c3727f0&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <img alt="_images/ds_facet_scatter.png" src="_images/ds_facet_scatter.png" />
│ │ │  <p>For more advanced scatter plots, we recommend converting the relevant data variables to a pandas DataFrame and using the extensive plotting capabilities of <code class="docutils literal notranslate"><span class="pre">seaborn</span></code>.</p>
│ │ │  </div>
│ │ │  <div class="section" id="maps">
│ │ │  <span id="plot-maps"></span><h2>Maps<a class="headerlink" href="#maps" title="Permalink to this headline">¶</a></h2>
│ │ │ @@ -1378,15 +1378,15 @@
│ │ │  <span class="nn">/build/python-xarray-zcUjoD/python-xarray-0.16.2/xarray/tutorial.py</span> in <span class="ni">open_dataset</span><span class="nt">(name, cache, cache_dir, github_url, branch, **kws)</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">76</span>         <span class="c1"># May want to add an option to remove it.</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">77</span>         <span class="k">if</span> <span class="ow">not</span> <span class="n">_os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isdir</span><span class="p">(</span><span class="n">longdir</span><span class="p">):</span>
│ │ │  <span class="ne">---&gt; </span><span class="mi">78</span>             <span class="n">_os</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">longdir</span><span class="p">)</span>
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">79</span> 
│ │ │  <span class="g g-Whitespace">     </span><span class="mi">80</span>         <span class="n">url</span> <span class="o">=</span> <span class="s2">&quot;/&quot;</span><span class="o">.</span><span class="n">join</span><span class="p">((</span><span class="n">github_url</span><span class="p">,</span> <span class="s2">&quot;raw&quot;</span><span class="p">,</span> <span class="n">branch</span><span class="p">,</span> <span class="n">fullname</span><span class="p">))</span>
│ │ │  
│ │ │ -<span class="ne">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/sbuild-nonexistent/.xarray_tutorial_data&#39;
│ │ │ +<span class="ne">FileNotFoundError</span>: [Errno 2] No such file or directory: &#39;/nonexistent/.xarray_tutorial_data&#39;
│ │ │  
│ │ │  <span class="gp">In [103]: </span><span class="n">p</span> <span class="o">=</span> <span class="n">air</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
│ │ │  <span class="gp">   .....: </span>    <span class="n">subplot_kws</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">Orthographic</span><span class="p">(</span><span class="o">-</span><span class="mi">80</span><span class="p">,</span> <span class="mi">35</span><span class="p">),</span> <span class="n">facecolor</span><span class="o">=</span><span class="s2">&quot;gray&quot;</span><span class="p">),</span>
│ │ │  <span class="gp">   .....: </span>    <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
│ │ │  <span class="gp">   .....: </span><span class="p">)</span>
│ │ │  <span class="gp">   .....: </span>
│ │ │  <span class="gt">---------------------------------------------------------------------------</span>
│ │ │ @@ -1470,24 +1470,24 @@
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [109]: </span><span class="kn">import</span> <span class="nn">xarray.plot</span> <span class="k">as</span> <span class="nn">xplt</span>
│ │ │  
│ │ │  <span class="gp">In [110]: </span><span class="n">da</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">DataArray</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">5</span><span class="p">))</span>
│ │ │  
│ │ │  <span class="gp">In [111]: </span><span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">ncols</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
│ │ │  
│ │ │  <span class="gp">In [112]: </span><span class="n">da</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span>
│ │ │ -<span class="gh">Out[112]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f705c37f160&gt;]</span>
│ │ │ +<span class="gh">Out[112]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f7838209c40&gt;]</span>
│ │ │  
│ │ │  <span class="gp">In [113]: </span><span class="n">da</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">line</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>
│ │ │ -<span class="gh">Out[113]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f705c3669a0&gt;]</span>
│ │ │ +<span class="gh">Out[113]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f7838209fd0&gt;]</span>
│ │ │  
│ │ │  <span class="gp">In [114]: </span><span class="n">xplt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">da</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span>
│ │ │ -<span class="gh">Out[114]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f705c3666d0&gt;]</span>
│ │ │ +<span class="gh">Out[114]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f785840e9d0&gt;]</span>
│ │ │  
│ │ │  <span class="gp">In [115]: </span><span class="n">xplt</span><span class="o">.</span><span class="n">line</span><span class="p">(</span><span class="n">da</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>
│ │ │ -<span class="gh">Out[115]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f705c37fbe0&gt;]</span>
│ │ │ +<span class="gh">Out[115]: </span><span class="go">[&lt;matplotlib.lines.Line2D at 0x7f7838200ee0&gt;]</span>
│ │ │  
│ │ │  <span class="gp">In [116]: </span><span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
│ │ │  
│ │ │  <span class="gp">In [117]: </span><span class="n">plt</span><span class="o">.</span><span class="n">draw</span><span class="p">()</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <a class="reference internal image-reference" href="_images/plotting_ways_to_use.png"><img alt="_images/plotting_ways_to_use.png" src="_images/plotting_ways_to_use.png" style="width: 6in;" /></a>
│ │ │ @@ -1540,15 +1540,15 @@
│ │ │  </div>
│ │ │  <p>The plot will produce an image corresponding to the values of the array.
│ │ │  Hence the top left pixel will be a different color than the others.
│ │ │  Before reading on, you may want to look at the coordinates and
│ │ │  think carefully about what the limits, labels, and orientation for
│ │ │  each of the axes should be.</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [122]: </span><span class="n">a</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
│ │ │ -<span class="gh">Out[122]: </span><span class="go">&lt;matplotlib.collections.QuadMesh at 0x7f705d1b7670&gt;</span>
│ │ │ +<span class="gh">Out[122]: </span><span class="go">&lt;matplotlib.collections.QuadMesh at 0x7f7838275d90&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <a class="reference internal image-reference" href="_images/plotting_example_2d_simple.png"><img alt="_images/plotting_example_2d_simple.png" src="_images/plotting_example_2d_simple.png" style="width: 4in;" /></a>
│ │ │  <p>It may seem strange that
│ │ │  the values on the y axis are decreasing with -0.5 on the top. This is because
│ │ │  the pixels are centered over their coordinates, and the
│ │ │  axis labels and ranges correspond to the values of the
│ │ │ @@ -1570,81 +1570,81 @@
│ │ │  <span class="gp">   .....: </span>    <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">20</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">),</span>
│ │ │  <span class="gp">   .....: </span>    <span class="n">dims</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;y&quot;</span><span class="p">,</span> <span class="s2">&quot;x&quot;</span><span class="p">],</span>
│ │ │  <span class="gp">   .....: </span>    <span class="n">coords</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;lat&quot;</span><span class="p">:</span> <span class="p">((</span><span class="s2">&quot;y&quot;</span><span class="p">,</span> <span class="s2">&quot;x&quot;</span><span class="p">),</span> <span class="n">lat</span><span class="p">),</span> <span class="s2">&quot;lon&quot;</span><span class="p">:</span> <span class="p">((</span><span class="s2">&quot;y&quot;</span><span class="p">,</span> <span class="s2">&quot;x&quot;</span><span class="p">),</span> <span class="n">lon</span><span class="p">)},</span>
│ │ │  <span class="gp">   .....: </span><span class="p">)</span>
│ │ │  <span class="gp">   .....: </span>
│ │ │  
│ │ │  <span class="gp">In [127]: </span><span class="n">da</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><span class="s2">&quot;lon&quot;</span><span class="p">,</span> <span class="s2">&quot;lat&quot;</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[127]: </span><span class="go">&lt;matplotlib.collections.QuadMesh at 0x7f705c56e820&gt;</span>
│ │ │ +<span class="gh">Out[127]: </span><span class="go">&lt;matplotlib.collections.QuadMesh at 0x7f781877b850&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <a class="reference internal image-reference" href="_images/plotting_example_2d_irreg.png"><img alt="_images/plotting_example_2d_irreg.png" src="_images/plotting_example_2d_irreg.png" style="width: 4in;" /></a>
│ │ │  <p>Note that in this case, xarray still follows the pixel centered convention.
│ │ │  This might be undesirable in some cases, for example when your data is defined
│ │ │  on a polar projection (<a class="reference external" href="https://github.com/pydata/xarray/issues/781">GH781</a>). This is why the default is to not follow
│ │ │  this convention when plotting on a map:</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [128]: </span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
│ │ │  
│ │ │  <span class="gp">In [129]: </span><span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">())</span>
│ │ │  
│ │ │  <span class="gp">In [130]: </span><span class="n">da</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><span class="s2">&quot;lon&quot;</span><span class="p">,</span> <span class="s2">&quot;lat&quot;</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[130]: </span><span class="go">&lt;matplotlib.collections.QuadMesh at 0x7f705c272250&gt;</span>
│ │ │ +<span class="gh">Out[130]: </span><span class="go">&lt;matplotlib.collections.QuadMesh at 0x7f78187bb610&gt;</span>
│ │ │  
│ │ │  <span class="gp">In [131]: </span><span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">lon</span><span class="p">,</span> <span class="n">lat</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">())</span>
│ │ │ -<span class="gh">Out[131]: </span><span class="go">&lt;matplotlib.collections.PathCollection at 0x7f705c277be0&gt;</span>
│ │ │ +<span class="gh">Out[131]: </span><span class="go">&lt;matplotlib.collections.PathCollection at 0x7f78186f28b0&gt;</span>
│ │ │  
│ │ │  <span class="gp">In [132]: </span><span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span><span class="p">()</span>
│ │ │ -<span class="gh">Out[132]: </span><span class="go">&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7f705c6f9f70&gt;</span>
│ │ │ +<span class="gh">Out[132]: </span><span class="go">&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7f783842abe0&gt;</span>
│ │ │  
│ │ │  <span class="gp">In [133]: </span><span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">draw_labels</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[133]: </span><span class="go">&lt;cartopy.mpl.gridliner.Gridliner at 0x7f705c225310&gt;</span>
│ │ │ +<span class="gh">Out[133]: </span><span class="go">&lt;cartopy.mpl.gridliner.Gridliner at 0x7f78186f2a00&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <a class="reference internal image-reference" href="_build/html/_static/plotting_example_2d_irreg_map.png"><img alt="_build/html/_static/plotting_example_2d_irreg_map.png" src="_build/html/_static/plotting_example_2d_irreg_map.png" style="width: 4in;" /></a>
│ │ │  <p>You can however decide to infer the cell boundaries and use the
│ │ │  <code class="docutils literal notranslate"><span class="pre">infer_intervals</span></code> keyword:</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [134]: </span><span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">())</span>
│ │ │  
│ │ │  <span class="gp">In [135]: </span><span class="n">da</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><span class="s2">&quot;lon&quot;</span><span class="p">,</span> <span class="s2">&quot;lat&quot;</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">infer_intervals</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[135]: </span><span class="go">&lt;matplotlib.collections.QuadMesh at 0x7f705c625250&gt;</span>
│ │ │ +<span class="gh">Out[135]: </span><span class="go">&lt;matplotlib.collections.QuadMesh at 0x7f78184e4ca0&gt;</span>
│ │ │  
│ │ │  <span class="gp">In [136]: </span><span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">lon</span><span class="p">,</span> <span class="n">lat</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">())</span>
│ │ │ -<span class="gh">Out[136]: </span><span class="go">&lt;matplotlib.collections.PathCollection at 0x7f705c5e8730&gt;</span>
│ │ │ +<span class="gh">Out[136]: </span><span class="go">&lt;matplotlib.collections.PathCollection at 0x7f78184969a0&gt;</span>
│ │ │  
│ │ │  <span class="gp">In [137]: </span><span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span><span class="p">()</span>
│ │ │ -<span class="gh">Out[137]: </span><span class="go">&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7f705c229910&gt;</span>
│ │ │ +<span class="gh">Out[137]: </span><span class="go">&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7f7818698cd0&gt;</span>
│ │ │  
│ │ │  <span class="gp">In [138]: </span><span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">draw_labels</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
│ │ │ -<span class="gh">Out[138]: </span><span class="go">&lt;cartopy.mpl.gridliner.Gridliner at 0x7f705c229580&gt;</span>
│ │ │ +<span class="gh">Out[138]: </span><span class="go">&lt;cartopy.mpl.gridliner.Gridliner at 0x7f78186986a0&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <a class="reference internal image-reference" href="_build/html/_static/plotting_example_2d_irreg_map_infer.png"><img alt="_build/html/_static/plotting_example_2d_irreg_map_infer.png" src="_build/html/_static/plotting_example_2d_irreg_map_infer.png" style="width: 4in;" /></a>
│ │ │  <div class="admonition note">
│ │ │  <p class="admonition-title">Note</p>
│ │ │  <p>The data model of xarray does not support datasets with <a class="reference external" href="http://cfconventions.org/cf-conventions/v1.6.0/cf-conventions.html#cell-boundaries">cell boundaries</a>
│ │ │  yet. If you want to use these coordinates, you’ll have to make the plots
│ │ │  outside the xarray framework.</p>
│ │ │  </div>
│ │ │  <p>One can also make line plots with multidimensional coordinates. In this case, <code class="docutils literal notranslate"><span class="pre">hue</span></code> must be a dimension name, not a coordinate name.</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [139]: </span><span class="n">f</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
│ │ │  
│ │ │  <span class="gp">In [140]: </span><span class="n">da</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">line</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;lon&quot;</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="s2">&quot;y&quot;</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
│ │ │  <span class="gh">Out[140]: </span><span class="go"></span>
│ │ │ -<span class="go">[&lt;matplotlib.lines.Line2D at 0x7f704fef87f0&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f704fef8850&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f704fef8910&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f704fef8a90&gt;]</span>
│ │ │ +<span class="go">[&lt;matplotlib.lines.Line2D at 0x7f7838440400&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f78384405b0&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f78187d1eb0&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f78187d15e0&gt;]</span>
│ │ │  
│ │ │  <span class="gp">In [141]: </span><span class="n">da</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">line</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;lon&quot;</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="s2">&quot;x&quot;</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
│ │ │  <span class="gh">Out[141]: </span><span class="go"></span>
│ │ │ -<span class="go">[&lt;matplotlib.lines.Line2D at 0x7f704fe99100&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f704fe99220&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f704fe99280&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f704fe993d0&gt;,</span>
│ │ │ -<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f704fe99490&gt;]</span>
│ │ │ +<span class="go">[&lt;matplotlib.lines.Line2D at 0x7f7818415a60&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f7818415a00&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f7818415ac0&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f78184314c0&gt;,</span>
│ │ │ +<span class="go"> &lt;matplotlib.lines.Line2D at 0x7f78184312e0&gt;]</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <img alt="_images/plotting_example_2d_hue_xy.png" src="_images/plotting_example_2d_hue_xy.png" />
│ │ │  </div>
│ │ │  </div>
│ │ │  </div>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/quick-overview.html
│ │ │ @@ -496,15 +496,15 @@
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  </div>
│ │ │  <div class="section" id="plotting">
│ │ │  <h2>Plotting<a class="headerlink" href="#plotting" title="Permalink to this headline">¶</a></h2>
│ │ │  <p>Visualizing your datasets is quick and convenient:</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [37]: </span><span class="n">data</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
│ │ │ -<span class="gh">Out[37]: </span><span class="go">&lt;matplotlib.collections.QuadMesh at 0x7f704fdeffd0&gt;</span>
│ │ │ +<span class="gh">Out[37]: </span><span class="go">&lt;matplotlib.collections.QuadMesh at 0x7f781830ff70&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <img alt="_images/plotting_quick_overview.png" src="_images/plotting_quick_overview.png" />
│ │ │  <p>Note the automatic labeling with names and units. Our effort in adding metadata attributes has paid off! Many aspects of these figures are customizable: see <a class="reference internal" href="plotting.html#plotting"><span class="std std-ref">Plotting</span></a>.</p>
│ │ │  </div>
│ │ │  <div class="section" id="pandas">
│ │ │  <h2>pandas<a class="headerlink" href="#pandas" title="Permalink to this headline">¶</a></h2>
│ │ ├── ./usr/share/doc/python-xarray-doc/html/searchindex.js
│ │ │ ├── js-beautify {}
│ │ │ │ @@ -151,71 +151,71 @@
│ │ │ │          "0alpha10": 36,
│ │ │ │          "0c0dc80c25a9": 6,
│ │ │ │          "0e8985178ccc": 26,
│ │ │ │          "0eb806e38f7f": [14, 15],
│ │ │ │          "0f41191e8013": 28,
│ │ │ │          "0th": [6, 22],
│ │ │ │          "0x0l": 36,
│ │ │ │ -        "0x7f476c91b1c0": 16,
│ │ │ │ -        "0x7f476cbe45b0": 16,
│ │ │ │ -        "0x7f5fc503e490": 17,
│ │ │ │ -        "0x7f704fd9fc40": 36,
│ │ │ │ -        "0x7f704fdeffd0": 29,
│ │ │ │ -        "0x7f704fe99100": 28,
│ │ │ │ -        "0x7f704fe99220": 28,
│ │ │ │ -        "0x7f704fe99280": 28,
│ │ │ │ -        "0x7f704fe993d0": 28,
│ │ │ │ -        "0x7f704fe99490": 28,
│ │ │ │ -        "0x7f704fef87f0": 28,
│ │ │ │ -        "0x7f704fef8850": 28,
│ │ │ │ -        "0x7f704fef8910": 28,
│ │ │ │ -        "0x7f704fef8a90": 28,
│ │ │ │ -        "0x7f705c225310": 28,
│ │ │ │ -        "0x7f705c229580": 28,
│ │ │ │ -        "0x7f705c229910": 28,
│ │ │ │ -        "0x7f705c272250": 28,
│ │ │ │ -        "0x7f705c277be0": 28,
│ │ │ │ -        "0x7f705c3666d0": 28,
│ │ │ │ -        "0x7f705c3669a0": 28,
│ │ │ │ -        "0x7f705c37f160": 28,
│ │ │ │ -        "0x7f705c37fbe0": 28,
│ │ │ │ -        "0x7f705c56e820": 28,
│ │ │ │ -        "0x7f705c5e8730": 28,
│ │ │ │ -        "0x7f705c625250": 28,
│ │ │ │ -        "0x7f705c692bb0": 28,
│ │ │ │ -        "0x7f705c692e20": 28,
│ │ │ │ -        "0x7f705c6a1d00": 28,
│ │ │ │ -        "0x7f705c6a1ee0": 28,
│ │ │ │ -        "0x7f705c6d4c40": 28,
│ │ │ │ -        "0x7f705c6f99d0": 28,
│ │ │ │ -        "0x7f705c6f9f70": 28,
│ │ │ │ -        "0x7f705c7f07f0": 28,
│ │ │ │ -        "0x7f705c99e280": 26,
│ │ │ │ -        "0x7f705c99e340": 26,
│ │ │ │ -        "0x7f705c99e8e0": 26,
│ │ │ │ -        "0x7f705cca5520": 26,
│ │ │ │ -        "0x7f705cca56a0": 26,
│ │ │ │ -        "0x7f705cca5dc0": 26,
│ │ │ │ -        "0x7f705ccf9520": 24,
│ │ │ │ -        "0x7f705cf0aa30": 28,
│ │ │ │ -        "0x7f705cf50eb0": 28,
│ │ │ │ -        "0x7f705cf792e0": 28,
│ │ │ │ -        "0x7f705cfc7340": 25,
│ │ │ │ -        "0x7f705cfeda60": 28,
│ │ │ │ -        "0x7f705d1b7670": 28,
│ │ │ │ -        "0x7f705d1d8220": 25,
│ │ │ │ -        "0x7f705d1d8eb0": 25,
│ │ │ │ -        "0x7f705d1eeb20": 25,
│ │ │ │ -        "0x7f705d20d730": 28,
│ │ │ │ -        "0x7f705d6f07c0": 28,
│ │ │ │ -        "0x7f707159cc40": 7,
│ │ │ │ -        "0x7f70715ab7c0": 7,
│ │ │ │ -        "0x7f707160ef40": 26,
│ │ │ │ -        "0x7f70716e6fa0": 28,
│ │ │ │ -        "0x7f70719bad60": 28,
│ │ │ │ +        "0x7f77e346ebe0": 36,
│ │ │ │ +        "0x7f781830ff70": 29,
│ │ │ │ +        "0x7f7818415a00": 28,
│ │ │ │ +        "0x7f7818415a60": 28,
│ │ │ │ +        "0x7f7818415ac0": 28,
│ │ │ │ +        "0x7f78184312e0": 28,
│ │ │ │ +        "0x7f78184314c0": 28,
│ │ │ │ +        "0x7f78184969a0": 28,
│ │ │ │ +        "0x7f78184e4ca0": 28,
│ │ │ │ +        "0x7f78186986a0": 28,
│ │ │ │ +        "0x7f7818698cd0": 28,
│ │ │ │ +        "0x7f78186f28b0": 28,
│ │ │ │ +        "0x7f78186f2a00": 28,
│ │ │ │ +        "0x7f781877b850": 28,
│ │ │ │ +        "0x7f78187bb610": 28,
│ │ │ │ +        "0x7f78187d15e0": 28,
│ │ │ │ +        "0x7f78187d1eb0": 28,
│ │ │ │ +        "0x7f7838200ee0": 28,
│ │ │ │ +        "0x7f7838209c40": 28,
│ │ │ │ +        "0x7f7838209fd0": 28,
│ │ │ │ +        "0x7f7838275d90": 28,
│ │ │ │ +        "0x7f783842abe0": 28,
│ │ │ │ +        "0x7f7838440400": 28,
│ │ │ │ +        "0x7f78384405b0": 28,
│ │ │ │ +        "0x7f78384cea90": 28,
│ │ │ │ +        "0x7f78384ceee0": 28,
│ │ │ │ +        "0x7f78384f5280": 28,
│ │ │ │ +        "0x7f78581b08e0": 24,
│ │ │ │ +        "0x7f78583b0340": 28,
│ │ │ │ +        "0x7f785840e9d0": 28,
│ │ │ │ +        "0x7f78584317f0": 28,
│ │ │ │ +        "0x7f785844aa00": 28,
│ │ │ │ +        "0x7f7858586f40": 26,
│ │ │ │ +        "0x7f7858600760": 28,
│ │ │ │ +        "0x7f785861c3a0": 25,
│ │ │ │ +        "0x7f78586c4c70": 28,
│ │ │ │ +        "0x7f78586da400": 25,
│ │ │ │ +        "0x7f78587617c0": 25,
│ │ │ │ +        "0x7f7858761ca0": 25,
│ │ │ │ +        "0x7f786c187940": 26,
│ │ │ │ +        "0x7f786c187fa0": 26,
│ │ │ │ +        "0x7f786c2a3ac0": 28,
│ │ │ │ +        "0x7f786c2a5640": 26,
│ │ │ │ +        "0x7f786c3727f0": 28,
│ │ │ │ +        "0x7f786c397580": 26,
│ │ │ │ +        "0x7f786fb0e0a0": 7,
│ │ │ │ +        "0x7f786fb700d0": 28,
│ │ │ │ +        "0x7f786fb7f400": 28,
│ │ │ │ +        "0x7f786fb7fdc0": 7,
│ │ │ │ +        "0x7f786fba5520": 26,
│ │ │ │ +        "0x7f786fc28640": 28,
│ │ │ │ +        "0x7f786fc3bd30": 28,
│ │ │ │ +        "0x7f786ff11d90": 28,
│ │ │ │ +        "0x7f788431f460": 26,
│ │ │ │ +        "0x7f87b3263820": 17,
│ │ │ │ +        "0x7f8dd935c160": 16,
│ │ │ │ +        "0x7f8dd96245b0": 16,
│ │ │ │          "100": [3, 4, 6, 11, 12, 22, 25, 26, 28, 31, 36],
│ │ │ │          "1000": [6, 36],
│ │ │ │          "100000": 6,
│ │ │ │          "1000x1000": 6,
│ │ │ │          "1003": 4,
│ │ │ │          "101": [4, 22, 28, 36],
│ │ │ │          "101985": 26,
│ │ │ │ @@ -267,14 +267,15 @@
│ │ │ │          "12310214428849964": [26, 36],
│ │ │ │          "1234": 5,
│ │ │ │          "124": [26, 28],
│ │ │ │          "12428": 35,
│ │ │ │          "125": [26, 28],
│ │ │ │          "1258": 22,
│ │ │ │          "1259": 22,
│ │ │ │ +        "125cc58608fb": 26,
│ │ │ │          "126": [28, 36],
│ │ │ │          "1260": 22,
│ │ │ │          "1261": 22,
│ │ │ │          "1262": 22,
│ │ │ │          "1263": 22,
│ │ │ │          "12696983303810094": [26, 36],
│ │ │ │          "127": [7, 19, 22, 26, 28, 36],
│ │ │ │ @@ -398,15 +399,14 @@
│ │ │ │          "1970": [32, 36],
│ │ │ │          "199": 29,
│ │ │ │          "1991": 36,
│ │ │ │          "1999": 4,
│ │ │ │          "19t00": 6,
│ │ │ │          "1MS": 17,
│ │ │ │          "1c96aded89da": 10,
│ │ │ │ -        "1cf228a7": 26,
│ │ │ │          "1d37fb2cd247": 24,
│ │ │ │          "1d727aa86050": 28,
│ │ │ │          "1e6": 4,
│ │ │ │          "1st": 22,
│ │ │ │          "200": [4, 28, 31],
│ │ │ │          "2000": [4, 7, 17, 18, 22, 25, 26, 27, 34, 35, 36],
│ │ │ │          "2001": [11, 17, 26, 35, 36],
│ │ │ │ @@ -482,14 +482,15 @@
│ │ │ │          "2554": 19,
│ │ │ │          "25828142": 4,
│ │ │ │          "259": 25,
│ │ │ │          "25t00": 6,
│ │ │ │          "260": [16, 22],
│ │ │ │          "26047600586578334": [26, 36],
│ │ │ │          "2605": [7, 19, 26],
│ │ │ │ +        "261c": 26,
│ │ │ │          "26297658": 4,
│ │ │ │          "26410385": 4,
│ │ │ │          "2643e81aa1a9": 28,
│ │ │ │          "265": 16,
│ │ │ │          "26522911": 4,
│ │ │ │          "26585059": 4,
│ │ │ │          "266": 31,
│ │ │ │ @@ -773,15 +774,15 @@
│ │ │ │          "4867138": 4,
│ │ │ │          "48671934": 4,
│ │ │ │          "48672119": 4,
│ │ │ │          "492914": 17,
│ │ │ │          "494929": 27,
│ │ │ │          "495": 27,
│ │ │ │          "497": 22,
│ │ │ │ -        "4a9d": 26,
│ │ │ │ +        "4b61": 26,
│ │ │ │          "500": [16, 26, 28, 36],
│ │ │ │          "501": 29,
│ │ │ │          "5011": 3,
│ │ │ │          "502": 25,
│ │ │ │          "504": 19,
│ │ │ │          "506234": 17,
│ │ │ │          "508": 25,
│ │ │ │ @@ -877,21 +878,19 @@
│ │ │ │          "62b0a60dbc78": 28,
│ │ │ │          "635": [25, 29],
│ │ │ │          "63593435": 17,
│ │ │ │          "636": 17,
│ │ │ │          "642": [7, 22],
│ │ │ │          "644": 4,
│ │ │ │          "646": 27,
│ │ │ │ -        "647e16a7571016661c6a18efabcf9149temperatur": 6,
│ │ │ │          "648000": 6,
│ │ │ │          "648627c40eb5": 13,
│ │ │ │          "6494": 4,
│ │ │ │          "6606": 4,
│ │ │ │          "6667": 26,
│ │ │ │ -        "668a": 26,
│ │ │ │          "6709edaff03d": 22,
│ │ │ │          "67283594": 17,
│ │ │ │          "673690": 29,
│ │ │ │          "6737": 29,
│ │ │ │          "674": [19, 29],
│ │ │ │          "675": 25,
│ │ │ │          "68137385": 17,
│ │ │ │ @@ -998,15 +997,14 @@
│ │ │ │          "805": 23,
│ │ │ │          "80527925": 17,
│ │ │ │          "805arrai": 17,
│ │ │ │          "805xarrai": 17,
│ │ │ │          "8093f205bc0d": 28,
│ │ │ │          "813": 16,
│ │ │ │          "814": 25,
│ │ │ │ -        "814a": 26,
│ │ │ │          "814e": 6,
│ │ │ │          "816": 18,
│ │ │ │          "816497": 18,
│ │ │ │          "81t": 35,
│ │ │ │          "8203883631195572": 26,
│ │ │ │          "8204": 22,
│ │ │ │          "82258065": 17,
│ │ │ │ @@ -1057,14 +1055,15 @@
│ │ │ │          "8755": 34,
│ │ │ │          "885": 29,
│ │ │ │          "88709677": 17,
│ │ │ │          "8871": 17,
│ │ │ │          "887251674a5f": 12,
│ │ │ │          "888": 25,
│ │ │ │          "889425": 17,
│ │ │ │ +        "88b7": 26,
│ │ │ │          "892": 27,
│ │ │ │          "893": 25,
│ │ │ │          "897": [7, 22],
│ │ │ │          "8972": [19, 26],
│ │ │ │          "8972365243645735": 26,
│ │ │ │          "89bc1504b066": 28,
│ │ │ │          "8ff3ba4430a3": 28,
│ │ │ │ @@ -1742,18 +1741,19 @@
│ │ │ │          caus: [5, 6, 26, 36],
│ │ │ │          caution: [22, 35],
│ │ │ │          caveat: 36,
│ │ │ │          cb8f083667be: 25,
│ │ │ │          cbar_ax: 36,
│ │ │ │          cbar_kwarg: [10, 13, 16, 28, 36],
│ │ │ │          cbook: [10, 16],
│ │ │ │ -        cc1458d05c32: 26,
│ │ │ │ +        cc2bed2f: 26,
│ │ │ │          cca90e1ed038: 26,
│ │ │ │          ccr: [10, 11, 13, 15, 16, 28],
│ │ │ │          cdat: [18, 36],
│ │ │ │ +        cdbd6343ed17628e81144771d71bc2d3temperatur: 6,
│ │ │ │          cdc0b84add6a: 28,
│ │ │ │          cdms2: 36,
│ │ │ │          ceil: [1, 20, 34, 35, 36],
│ │ │ │          cell: [3, 13, 15, 19, 28, 30, 36],
│ │ │ │          celsiu: [10, 13, 16, 28, 36],
│ │ │ │          celsius_scal: 26,
│ │ │ │          center: [4, 15, 19, 24, 28, 36],
│ │ │ │ @@ -4899,15 +4899,14 @@
│ │ │ │          satisfi: 8,
│ │ │ │          satpi: 30,
│ │ │ │          satur: 36,
│ │ │ │          saurav: 36,
│ │ │ │          save: [5, 6, 24, 26, 34, 36, 37],
│ │ │ │          save_mfdataset: [29, 36],
│ │ │ │          saved_on_disk: 26,
│ │ │ │ -        sbuild: [10, 11, 12, 13, 14, 15, 16, 22, 24, 25, 28],
│ │ │ │          scalar: [4, 5, 7, 15, 22, 26, 27, 29, 33, 36],
│ │ │ │          scale: [10, 16, 27, 28, 30, 36],
│ │ │ │          scale_factor: [26, 36],
│ │ │ │          scale_from_ext: [10, 16],
│ │ │ │          scaler: [10, 16],
│ │ │ │          scanpydoc: 23,
│ │ │ │          scatter: [28, 36],
│ │ ├── ./usr/share/doc/python-xarray-doc/html/whats-new.html
│ │ │ @@ -4445,15 +4445,15 @@
│ │ │  <li><p>New <code class="docutils literal notranslate"><span class="pre">xray.Dataset.where</span></code> method for masking xray objects according
│ │ │  to some criteria. This works particularly well with multi-dimensional data:</p>
│ │ │  <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [44]: </span><span class="n">ds</span> <span class="o">=</span> <span class="n">xray</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="n">coords</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="nb">range</span><span class="p">(</span><span class="mi">100</span><span class="p">),</span> <span class="s2">&quot;y&quot;</span><span class="p">:</span> <span class="nb">range</span><span class="p">(</span><span class="mi">100</span><span class="p">)})</span>
│ │ │  
│ │ │  <span class="gp">In [45]: </span><span class="n">ds</span><span class="p">[</span><span class="s2">&quot;distance&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">ds</span><span class="o">.</span><span class="n">x</span> <span class="o">**</span> <span class="mi">2</span> <span class="o">+</span> <span class="n">ds</span><span class="o">.</span><span class="n">y</span> <span class="o">**</span> <span class="mi">2</span><span class="p">)</span>
│ │ │  
│ │ │  <span class="gp">In [46]: </span><span class="n">ds</span><span class="o">.</span><span class="n">distance</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">ds</span><span class="o">.</span><span class="n">distance</span> <span class="o">&lt;</span> <span class="mi">100</span><span class="p">)</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
│ │ │ -<span class="gh">Out[46]: </span><span class="go">&lt;matplotlib.collections.QuadMesh at 0x7f704fd9fc40&gt;</span>
│ │ │ +<span class="gh">Out[46]: </span><span class="go">&lt;matplotlib.collections.QuadMesh at 0x7f77e346ebe0&gt;</span>
│ │ │  </pre></div>
│ │ │  </div>
│ │ │  <a class="reference internal image-reference" href="_images/where_example.png"><img alt="_images/where_example.png" src="_images/where_example.png" style="width: 4in; height: 4in;" /></a>
│ │ │  </li>
│ │ │  <li><p>Added new methods <code class="docutils literal notranslate"><span class="pre">xray.DataArray.diff</span></code> and <code class="docutils literal notranslate"><span class="pre">xray.Dataset.diff</span></code>
│ │ │  for finite difference calculations along a given axis.</p></li>
│ │ │  <li><p>New <code class="docutils literal notranslate"><span class="pre">xray.DataArray.to_masked_array</span></code> convenience method for