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Module « numpy.matlib »

Fonction any - module numpy.matlib

Signature de la fonction any

def any(a, axis=None, out=None, keepdims=<no value>, *, where=<no value>) 

Description

help(numpy.matlib.any)

Test whether any array element along a given axis evaluates to True.

Returns single boolean if `axis` is ``None``

Parameters
----------
a : array_like
    Input array or object that can be converted to an array.
axis : None or int or tuple of ints, optional
    Axis or axes along which a logical OR reduction is performed.
    The default (``axis=None``) is to perform a logical OR over all
    the dimensions of the input array. `axis` may be negative, in
    which case it counts from the last to the first axis. If this
    is a tuple of ints, a reduction is performed on multiple
    axes, instead of a single axis or all the axes as before.
out : ndarray, optional
    Alternate output array in which to place the result.  It must have
    the same shape as the expected output and its type is preserved
    (e.g., if it is of type float, then it will remain so, returning
    1.0 for True and 0.0 for False, regardless of the type of `a`).
    See :ref:`ufuncs-output-type` for more details.

keepdims : bool, optional
    If this is set to True, the axes which are reduced are left
    in the result as dimensions with size one. With this option,
    the result will broadcast correctly against the input array.

    If the default value is passed, then `keepdims` will not be
    passed through to the `any` method of sub-classes of
    `ndarray`, however any non-default value will be.  If the
    sub-class' method does not implement `keepdims` any
    exceptions will be raised.

where : array_like of bool, optional
    Elements to include in checking for any `True` values.
    See `~numpy.ufunc.reduce` for details.

    .. versionadded:: 1.20.0

Returns
-------
any : bool or ndarray
    A new boolean or `ndarray` is returned unless `out` is specified,
    in which case a reference to `out` is returned.

See Also
--------
ndarray.any : equivalent method

all : Test whether all elements along a given axis evaluate to True.

Notes
-----
Not a Number (NaN), positive infinity and negative infinity evaluate
to `True` because these are not equal to zero.

.. versionchanged:: 2.0
   Before NumPy 2.0, ``any`` did not return booleans for object dtype
   input arrays.
   This behavior is still available via ``np.logical_or.reduce``.

Examples
--------
>>> import numpy as np
>>> np.any([[True, False], [True, True]])
True

>>> np.any([[True,  False, True ],
...         [False, False, False]], axis=0)
array([ True, False, True])

>>> np.any([-1, 0, 5])
True

>>> np.any([[np.nan], [np.inf]], axis=1, keepdims=True)
array([[ True],
       [ True]])

>>> np.any([[True, False], [False, False]], where=[[False], [True]])
False

>>> a = np.array([[1, 0, 0],
...               [0, 0, 1],
...               [0, 0, 0]])
>>> np.any(a, axis=0)
array([ True, False,  True])
>>> np.any(a, axis=1)
array([ True,  True, False])

>>> o=np.array(False)
>>> z=np.any([-1, 4, 5], out=o)
>>> z, o
(array(True), array(True))
>>> # Check now that z is a reference to o
>>> z is o
True
>>> id(z), id(o) # identity of z and o              # doctest: +SKIP
(191614240, 191614240)

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