larray.maximum

larray.maximum(x1, x2, out=None, dtype=None)

Element-wise maximum of array elements.

Compare two arrays and returns a new array containing the element-wise maxima. If one of the elements being compared is a NaN, then that element is returned. If both elements are NaNs then the first is returned. The latter distinction is important for complex NaNs, which are 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

The arrays holding the elements to be compared.

out : Array, optional

An array into which the result is stored.

dtype : data-type, optional

Overrides the dtype of the output array.

Returns:

y : Array or scalar

The maximum of x1 and x2, element-wise. This is a scalar if both x1 and x2 are scalars.

See also

minimum

Element-wise minimum of two arrays, propagates NaNs.

Notes

The maximum is equivalent to where(x1 >= x2, x1, x2) when neither x1 nor x2 are NaNs, but it is faster.

Examples

>>> from larray import Array
>>> arr1 = Array([[10, 7, 5, 9],
...                [5, 8, 3, 7]], "a=a0,a1;b=b0..b3")
>>> arr2 = Array([[6, 2, 9, 0],
...                [9, 10, 5, 6]], "a=a0,a1;b=b0..b3")
>>> arr1
a\b  b0  b1  b2  b3
 a0  10   7   5   9
 a1   5   8   3   7
>>> arr2
a\b  b0  b1  b2  b3
 a0   6   2   9   0
 a1   9  10   5   6

>>> maximum(arr1, arr2)
a\b  b0  b1  b2  b3
 a0  10   7   9   9
 a1   9  10   5   7

With broadcasting

>>> arr2['a0']
b  b0  b1  b2  b3
    6   2   9   0
>>> maximum(arr1, arr2['a0'])
a\b  b0  b1  b2  b3
 a0  10   7   9   9
 a1   6   8   9   7