Multivariate Pattern Analysis in Python

# mvpa2.mappers.fx.mean_group_sample

`mvpa2.mappers.fx.``mean_group_sample`(attrs, attrfx='merge', **kwargs)

  Returns a mapper that computes the mean samples of unique sample groups.

  The sample groups are identified by the unique combination of all values of a set of provided sample attributes. Order of output samples might differ from original and correspond to sorted order of corresponding `attrs` by default. Use `order='occurrence'` if you would like to maintain the order.

  Parameters:

  attrs : list

  > List of sample attributes whose unique values will be used to identify the samples groups.

  attrfx : ‘merge’ or callable, optional

  > Callable that is used to determine the sample attributes of the computed mean samples. By default this will be a string representation of all unique value of a particular attribute in any sample group. If there is only a single value in a group it will be used as the new attribute value.

  Returns: | FxMapper instance.