flopscope.

flopscope.numpy.place

fnp.place(arr, mask, vals, *args, **kwargs)[flopscope source][numpy source]

Change elements of an array based on conditional and input values.

Adapted from NumPy docs np.place

Areacore
Typecustom
NumPy Refnp.place
Cost
4×per-operation
Flopscope Context

Change elements satisfying condition. Cost: numel(input).

Similar to flops.copyto(arr, vals, where=mask), the difference is that place uses the first N elements of vals, where N is the number of True values in mask, while copyto uses the elements where mask is True.

Note that extract does the exact opposite of place.

Parameters

arr:ndarray

Array to put data into.

mask:array_like

Boolean mask array. Must have the same size as a.

vals:1-D sequence

Values to put into a. Only the first N elements are used, where N is the number of True values in mask. If vals is smaller than N, it will be repeated, and if elements of a are to be masked, this sequence must be non-empty.

See also

Examples

>>> import flopscope.numpy as fnp
>>> arr = flops.arange(6).reshape(2, 3)
>>> flops.place(arr, arr>2, [44, 55])
>>> arr
array([[ 0,  1,  2],
       [44, 55, 44]])