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Module « numpy »

Fonction all - module numpy

Signature de la fonction all

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

Description

help(numpy.all)

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

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 AND reduction is performed.
    The default (``axis=None``) is to perform a logical AND 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 ``dtype(out)`` is float, the result
    will consist of 0.0's and 1.0's). 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 `all` 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 all `True` values.
    See `~numpy.ufunc.reduce` for details.

    .. versionadded:: 1.20.0

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

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

any : Test whether any element along a given axis evaluates 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, ``all`` did not return booleans for object dtype
   input arrays.
   This behavior is still available via ``np.logical_and.reduce``.

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

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

>>> np.all([-1, 4, 5])
True

>>> np.all([1.0, np.nan])
True

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

>>> o=np.array(False)
>>> z=np.all([-1, 4, 5], out=o)
>>> id(z), id(o), z
(28293632, 28293632, array(True)) # may vary

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