`scipy.ndimage._measurements:_stats`

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def _stats ( input , labels = None , index = None , centered = False )

Count, sum, and optionally compute (sum - centre)^2 of input by label

input : array_like, N-D: The input data to be analyzed.
labels : array_like (N-D), optional: The labels of the data in input. This array must be broadcast compatible with input; typically, it is the same shape as input. If labels is None, all nonzero values in input are treated as the single labeled group.
index : label or sequence of labels, optional: These are the labels of the groups for which the stats are computed. If index is None, the stats are computed for the single group where labels is greater than 0.
centered : bool, optional: If True, the centered sum of squares for each labeled group is also returned. Default is False.

counts : int or ndarray of ints: The number of elements in each labeled group.
sums : scalar or ndarray of scalars: The sums of the values in each labeled group.
sums_c : scalar or ndarray of scalars, optional: The sums of mean-centered squares of the values in each labeled group. This is only returned if centered is True.