Multivariate Pattern Analysis in Python

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# mvpa2.misc.io

Import helper for IO helpers

Functions

`design2labels`(columndata[, baseline_label, func]) | Helper to convert design matrix into a list of labels Given a design, assign a single label to any given sample TODO: fix description/naming :Parameters: columndata : ColumnData Attributes where each known will be considered as a separate explanatory variable (EV) in the design.
`labels2chunks`(labels[, method, ignore_labels]) | Automagically decide on chunks based on labels :Parameters: labels : labels to base chunking on method : str codename for method to use.

Classes

`ColumnData`(source[, header, sep, headersep, ...]) | Read data that is stored in columns of text files.
`DataReader`() | Base class for data readers.
`SampleAttributes`(source[, literallabels, header]) | Read and write PyMVPA sample attribute definitions from and to text files.
`SensorLocations`(*args, **kwargs) | Base class for sensor location readers.
`TuebingenMEGSensorLocations`(source) | Read sensor location definitions from a specific text file format.
`XAVRSensorLocations`(source) | Read sensor location definitions from a specific text file format.

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