https://docs.scipy.org/doc/numpy/reference/generated/numpy.maximum.html
numpy.maximum
-
Element-wise maximum of array elements.
Compare two arrays and returns a new array containing the element-wisemaxima. If one of the elements being compared is a NaN, then thatelement is returned. If both elements are NaNs then the first isreturned. The latter distinction is important for complex NaNs, whichare defined as at least one of the real or imaginary parts being a NaN.The net effect is that NaNs are propagated.
Parameters: x1, x2 : array_like
The arrays holding the elements to be compared. They must havethe same shape, or shapes that can be broadcast to a single shape.
out : ndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must havea shape that the inputs broadcast to. If not provided or None,a freshly-allocated array is returned. A tuple (possible only as akeyword argument) must have length equal to the number of outputs.
where : array_like, optional
Values of True indicate to calculate the ufunc at that position, valuesof False indicate to leave the value in the output alone.
**kwargs
For other keyword-only arguments, see theufunc docs.
Returns: y : ndarray or scalar
The maximum of x1 and x2, element-wise. Returns scalar ifboth x1 and x2 are scalars.
numpy.
maximum
(
x1,
x2,
/,
out=None,
*,
where=True,
casting='same_kind',
order='K',
dtype=None,
subok=True
[,
signature,
extobj
]
)
= <ufunc 'maximum'>