Multivariate Pattern Analysis in Python

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# mvpa2.misc.support.transform_with_boxcar

`mvpa2.misc.support.``transform_with_boxcar`(data, startpoints, boxlength, offset=0, fx=<function mean at 0xa801cdc>)

  This function extracts boxcar windows from an array. Such a boxcar is defined by a starting point and the size of the window along the first axis of the array (`boxlength`). Afterwards a customizable function is applied to each boxcar individually (Default: averaging).

  Parameters:

  - data (array) – An array with an arbitrary number of dimensions.
  - startpoints (sequence) – Boxcar startpoints as index along the first array axis
  - boxlength (int) – Length of the boxcar window in #array elements
  - offset (int) – Optional offset between the configured starting point and the actual begining of the boxcar window.

  Return type: | array (len(startpoints) x data.shape[1:])

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