Test whether any array element along a given axis evaluates to True.
Returns single boolean unless
axis is not
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 (
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
doc.ufuncs (Section “Output arguments”) for 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.
any : bool or ndarray
A new boolean or
ndarray is returned unless
out is specified, in which case a reference to
out is returned.
- equivalent method
- Test whether all elements along a given axis evaluate to True.
Not a Number (NaN), positive infinity and negative infinity evaluate to
True because these are not equal to zero.
>>> np.any([[True, False], [True, True]])
>>> np.any([[True, False], [False, False]], axis=0)
array([ True, False])
>>> np.any([-1, 0, 5])
>>> z=np.any([-1, 4, 5], out=o)
>>> z, o
>>> # Check now that z is a reference to o
>>> z is o
>>> id(z), id(o) # identity of z and o # doctest: +SKIP