Enhanced version of matplotlib’s matshow().
This version is able to handle datasets, and label axis according to dataset attribute values.
>>> from mvpa2.viz import matshow
>>> from mvpa2.misc.data_generators import normal_feature_dataset
>>> ds = normal_feature_dataset(10, 2, 18, 5)
>>> im = matshow(ds, ylabel_attr='targets', xlabel_attr='chunks',
... numbers='%.0f')
Parameters: | matrix : 2D array
xlabel_attr : str or None
ylabel_attr : str or None
numbers : dict, str or None
**kwargs :
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Returns: | matplotlib.AxesImage :
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