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Module « scipy.ndimage »

Fonction mean - module scipy.ndimage

Signature de la fonction mean

def mean(input, labels=None, index=None) 

Description

help(scipy.ndimage.mean)

Calculate the mean of the values of an array at labels.

Parameters
----------
input : array_like
    Array on which to compute the mean of elements over distinct
    regions.
labels : array_like, optional
    Array of labels of same shape, or broadcastable to the same shape as
    `input`. All elements sharing the same label form one region over
    which the mean of the elements is computed.
index : int or sequence of ints, optional
    Labels of the objects over which the mean is to be computed.
    Default is None, in which case the mean for all values where label is
    greater than 0 is calculated.

Returns
-------
out : list
    Sequence of same length as `index`, with the mean of the different
    regions labeled by the labels in `index`.

See Also
--------
variance, standard_deviation, minimum, maximum, sum, label

Examples
--------
>>> from scipy import ndimage
>>> import numpy as np
>>> a = np.arange(25).reshape((5,5))
>>> labels = np.zeros_like(a)
>>> labels[3:5,3:5] = 1
>>> index = np.unique(labels)
>>> labels
array([[0, 0, 0, 0, 0],
       [0, 0, 0, 0, 0],
       [0, 0, 0, 0, 0],
       [0, 0, 0, 1, 1],
       [0, 0, 0, 1, 1]])
>>> index
array([0, 1])
>>> ndimage.mean(a, labels=labels, index=index)
[10.285714285714286, 21.0]

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