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Module « numpy.matlib »

Fonction select - module numpy.matlib

Signature de la fonction select

def select(condlist, choicelist, default=0) 

Description

help(numpy.matlib.select)

Return an array drawn from elements in choicelist, depending on conditions.

Parameters
----------
condlist : list of bool ndarrays
    The list of conditions which determine from which array in `choicelist`
    the output elements are taken. When multiple conditions are satisfied,
    the first one encountered in `condlist` is used.
choicelist : list of ndarrays
    The list of arrays from which the output elements are taken. It has
    to be of the same length as `condlist`.
default : scalar, optional
    The element inserted in `output` when all conditions evaluate to False.

Returns
-------
output : ndarray
    The output at position m is the m-th element of the array in
    `choicelist` where the m-th element of the corresponding array in
    `condlist` is True.

See Also
--------
where : Return elements from one of two arrays depending on condition.
take, choose, compress, diag, diagonal

Examples
--------
>>> import numpy as np

Beginning with an array of integers from 0 to 5 (inclusive),
elements less than ``3`` are negated, elements greater than ``3``
are squared, and elements not meeting either of these conditions
(exactly ``3``) are replaced with a `default` value of ``42``.

>>> x = np.arange(6)
>>> condlist = [x<3, x>3]
>>> choicelist = [x, x**2]
>>> np.select(condlist, choicelist, 42)
array([ 0,  1,  2, 42, 16, 25])

When multiple conditions are satisfied, the first one encountered in
`condlist` is used.

>>> condlist = [x<=4, x>3]
>>> choicelist = [x, x**2]
>>> np.select(condlist, choicelist, 55)
array([ 0,  1,  2,  3,  4, 25])

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