numpy.all(a, axis=None, out=None, keepdims=<class numpy._globals._NoValue>)
[source]
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 ( New in version 1.7.0. 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 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 |
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Returns: |
all : ndarray, bool A new boolean or array is returned unless |
See also
ndarray.all
any
Not a Number (NaN), positive infinity and negative infinity evaluate to True
because these are not equal to zero.
>>> np.all([[True,False],[True,True]]) False
>>> np.all([[True,False],[True,True]], axis=0) array([ True, False], dtype=bool)
>>> np.all([-1, 4, 5]) True
>>> np.all([1.0, np.nan]) True
>>> o=np.array([False]) >>> z=np.all([-1, 4, 5], out=o) >>> id(z), id(o), z (28293632, 28293632, array([ True], dtype=bool))
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https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.all.html