SeedCorrelationAnalyzer¶
│ │ │ -
│ │ │
-
│ │ │ class
nitime.analysis.correlation.SeedCorrelationAnalyzer(seed_time_series=None, target_time_series=None)¶
│ │ │ - Bases:
│ │ │ +objectBases:
│ │ │objectThis analyzer takes two time-series. The first is designated as a │ │ │ time-series of seeds. The other is designated as a time-series of targets. │ │ │ The analyzer performs a correlation analysis between each of the channels │ │ │ in the seed time-series and all of the channels in the target │ │ │ time-series.
│ │ │-
│ │ │
-
│ │ ├── ./usr/share/doc/python-nitime-doc/html/api/generated/nitime.descriptors.html
│ │ │ @@ -84,15 +84,15 @@
│ │ │ │ │ │
Classes¶
│ │ ││ │ ││ │ │
│ │ │OneTimeProperty¶-
│ │ │
-
│ │ │ class
nitime.descriptors.OneTimeProperty(func)¶
│ │ │ - Bases:
│ │ │ +objectBases:
│ │ │objectA descriptor to make special properties that become normal attributes.
│ │ │This is meant to be used mostly by the auto_attr decorator in this module.
│ │ │-
│ │ │
-
│ │ │
__init__(func)¶
│ │ │ Create a OneTimeProperty instance.
│ │ │-
│ │ │ @@ -111,15 +111,15 @@
│ │ │
│ │ │
│ │ ││ │ │
│ │ │ResetMixin¶-
│ │ │
-
│ │ │ class
nitime.descriptors.ResetMixin¶
│ │ │ - Bases:
│ │ │ +objectBases:
│ │ │objectA Mixin class to add a .reset() method to users of OneTimeProperty.
│ │ │By default, auto attributes once computed, become static. If they happen │ │ │ to depend on other parts of an object and those parts change, their values │ │ │ may now be invalid.
│ │ │This class offers a .reset() method that users can call explicitly when │ │ │ they know the state of their objects may have changed and they want to │ │ │ ensure that all their special attributes should be invalidated. Once │ │ ├── ./usr/share/doc/python-nitime-doc/html/api/generated/nitime.lazyimports.html │ │ │ @@ -70,36 +70,36 @@ │ │ │ importing it until the first time it is actually used, thereby speeding up │ │ │ nitime imports.
│ │ │A generic
│ │ │ +LazyImportclass is implemented which takes the module name │ │ │ as a parameter, and acts as a proxy for that module, importing it only when │ │ │ the module is used, but effectively acting as the module in every other way │ │ │ (including inside IPython with respect to introspection and tab completion) │ │ │ with the exception of reload() - reloading aLazyImportraises an │ │ │ -ImportError.ImportError. │ │ │Commonly used nitime lazy imports are also defined in
│ │ │nitime.lazy, so │ │ │ they can be reused throughout nitime.
│ │ ││ │ ├── ./usr/share/doc/python-nitime-doc/html/documentation.html │ │ │┄ Ordering differences only │ │ │ @@ -72,29 +72,29 @@ │ │ │
│ │ │LazyImport¶-
│ │ │
-
│ │ │ class
nitime.lazyimports.LazyImport(x)¶
│ │ │ - Bases:
│ │ │ +objectBases:
│ │ │object│ │ │
│ │ │WARNING: To get Sphinx documentation to build we disable │ │ │ LazyImports, which makes Sphinx incorrectly report this │ │ │ class as having a base class of object. In reality, │ │ │
│ │ │ +LazyImport’s base class is │ │ │ -types.ModuleType.types.ModuleType. │ │ │This class takes the module name as a parameter, and acts as a proxy for │ │ │ that module, importing it only when the module is used, but effectively │ │ │ acting as the module in every other way (including inside IPython with │ │ │ respect to introspection and tab completion) with the exception of │ │ │ -reload()- reloading a
│ │ │ +reload()- reloading aLazyImportraises anImportError.LazyImportraises anImportError. │ │ ││ │ ││ │ │>>> mlab = LazyImport('matplotlib.mlab') │ │ │
No import happens on the above line, until we do something like call an │ │ │
│ │ │mlabmethod or try to do tab completion or introspection onmlab│ │ │ in IPython.│ │ ││ │ │>>> mlab │ │ ├── ./usr/share/doc/python-nitime-doc/html/api/generated/nitime.timeseries.html │ │ │ @@ -182,15 +182,15 @@ │ │ │ │ │ │
│ │ ││ │ │
│ │ │Frequency¶-
│ │ │
-
│ │ │ class
nitime.timeseries.Frequency(f, time_unit='s')¶
│ │ │ - Bases:
│ │ │ +floatBases:
│ │ │floatA class for representation of the frequency (in Hz)
│ │ │-
│ │ │
-
│ │ │
__init__()¶
│ │ │ Initialize self. See help(type(self)) for accurate signature.
│ │ │
│ │ ││ │ │
│ │ │TimeInterface¶-
│ │ │
-
│ │ │ class
nitime.timeseries.TimeInterface¶
│ │ │ - Bases:
│ │ │ +objectBases:
│ │ │objectThe minimal object interface for time representations
│ │ │This should be thought of as an abstract base class.
│ │ │-
│ │ │
-
│ │ │
__init__()¶
│ │ │ Initialize self. See help(type(self)) for accurate signature.
│ │ │
│ │ ││ │ │ │ │ │ │ │ │ │ │ │
│ │ │TimeSeriesBase¶-
│ │ │
-
│ │ │ class
nitime.timeseries.TimeSeriesBase(data, time_unit, metadata=None)¶
│ │ │ - Bases:
│ │ │ +objectBases:
│ │ │objectBase class for time series, implementing the TimeSeriesInterface.
│ │ │-
│ │ │
-
│ │ │
__init__(data, time_unit, metadata=None)¶
│ │ │ Common constructor shared by all TimeSeries classes.
│ │ │
│ │ │ │ │ ││ │ │ @@ -98,16 +98,16 @@ │ │ │ href="http://mail.scipy.org/mailman/listinfo/nipy-devel">Mailing List │ │ │
│ │ │ @@ -36,15 +36,15 @@
│ │ │ - │ │ │ modules |
│ │ │- │ │ │ next |
│ │ │- │ │ │ - previous |
│ │ │- Nitime Home |
│ │ │ │ │ │ │ │ │ │ │ │ │ │ │- License
│ │ │ │ │ │ │ │ │ │ │ │Previous topic
│ │ │ -Multivariate auto-regressive modeling - 3 variables
│ │ │ +Granger ‘causality’ of fMRI data
│ │ │Next topic
│ │ │ │ │ │ │ │ │ │ │ │
- Release notes for nitime version 0.6
│ │ │- Release notes for nitime version 0.5
│ │ │- Release notes for nitime version 0.4
│ │ │- Release notes for nitime version 0.3
│ │ │ │ │ │ │ │ │- Examples
│ │ │-
│ │ │ -
- Multitaper coherence estimation │ │ │ -
- Auditory processing in grasshoppers │ │ │ -
- Seed correlation/coherence with fMRI data │ │ │ +
- Multivariate auto-regressive modeling │ │ │
- Multitaper method for baseband demodulation │ │ │
- Fitting an AR model: algorithm module interface │ │ │ -
- Filtering and normalizing fMRI data │ │ │ -
- Fitting an MAR model: analyzer interface │ │ │ -
- Granger ‘causality’ of fMRI data │ │ │ -
- Multivariate auto-regressive modeling │ │ │ -
- Coherency analysis of fMRI data │ │ │
- Event-related fMRI │ │ │
- Calculation of signal-to-noise and information │ │ │ -
- Multitaper F-test for harmonic components │ │ │ +
- Fitting an MAR model: analyzer interface │ │ │ +
- Auditory processing in grasshoppers │ │ │ +
- Filtering and normalizing fMRI data │ │ │
- Multitaper spectral estimation │ │ │ +
- Seed correlation/coherence with fMRI data │ │ │ +
- Multitaper coherence estimation │ │ │ +
- Multitaper F-test for harmonic components │ │ │
- Multivariate auto-regressive modeling - 3 variables │ │ │ +
- Coherency analysis of fMRI data │ │ │ +
- Granger ‘causality’ of fMRI data │ │ │
- Discussion
│ │ ├── ./usr/share/doc/python-nitime-doc/html/examples/ar_est_1var.html │ │ │ @@ -12,15 +12,15 @@ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ - │ │ │ + │ │ │ │ │ │ │ │ │ │ │ │ │ │ │-
│ │ │
- A note about the discussion section │ │ │
- Jack-knifing a Multitaper SDF estimator │ │ │
│ │ │ │ │ │ @@ -33,15 +33,15 @@ │ │ │- │ │ │ index
│ │ │- │ │ │ modules |
│ │ │- │ │ │ - next |
│ │ │- │ │ │ previous |
│ │ │- Nitime Home |
│ │ │ │ │ │ │ │ │ @@ -157,16 +157,16 @@ │ │ │ │ │ │ │ │ │ │ │ │Previous topic
│ │ │Multitaper method for baseband demodulation
│ │ │Next topic
│ │ │ - │ │ │ + │ │ │ -
│ │ │ class