numpy.logical_or(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'logical_or'>
Compute the truth value of x1 OR x2 element-wise.
Parameters: |
x1, x2 : array_like Logical OR is applied to the elements of out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see the ufunc docs. |
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Returns: |
y : ndarray or bool Boolean result with the same shape as |
See also
>>> np.logical_or(True, False) True >>> np.logical_or([True, False], [False, False]) array([ True, False])
>>> x = np.arange(5) >>> np.logical_or(x < 1, x > 3) array([ True, False, False, False, True])
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.logical_or.html