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Module « scipy.ndimage »

Fonction minimum - module scipy.ndimage

Signature de la fonction minimum

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

Description

help(scipy.ndimage.minimum)

Calculate the minimum of the values of an array over labeled regions.

Parameters
----------
input : array_like
    Array_like of values. For each region specified by `labels`, the
    minimal values of `input` over the region is computed.
labels : array_like, optional
    An array_like of integers marking different regions over which the
    minimum value of `input` is to be computed. `labels` must have the
    same shape as `input`. If `labels` is not specified, the minimum
    over the whole array is returned.
index : array_like, optional
    A list of region labels that are taken into account for computing the
    minima. If index is None, the minimum over all elements where `labels`
    is non-zero is returned.

Returns
-------
minimum : float or list of floats
    List of minima of `input` over the regions determined by `labels` and
    whose index is in `index`. If `index` or `labels` are not specified, a
    float is returned: the minimal value of `input` if `labels` is None,
    and the minimal value of elements where `labels` is greater than zero
    if `index` is None.

See Also
--------
label, maximum, median, minimum_position, extrema, sum, mean, variance,
standard_deviation

Notes
-----
The function returns a Python list and not a NumPy array, use
`np.array` to convert the list to an array.

Examples
--------
>>> from scipy import ndimage
>>> import numpy as np
>>> a = np.array([[1, 2, 0, 0],
...               [5, 3, 0, 4],
...               [0, 0, 0, 7],
...               [9, 3, 0, 0]])
>>> labels, labels_nb = ndimage.label(a)
>>> labels
array([[1, 1, 0, 0],
       [1, 1, 0, 2],
       [0, 0, 0, 2],
       [3, 3, 0, 0]], dtype=int32)
>>> ndimage.minimum(a, labels=labels, index=np.arange(1, labels_nb + 1))
[1, 4, 3]
>>> ndimage.minimum(a)
0
>>> ndimage.minimum(a, labels=labels)
1

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