numpy.place

numpy.place(arr, mask, vals)

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

Similar to np.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

arrndarray

Array to put data into.

maskarray_like

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

vals1-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

copyto, put, take, extract

Examples

>>> arr = np.arange(6).reshape(2, 3)
>>> np.place(arr, arr>2, [44, 55])
>>> arr
array([[ 0,  1,  2],
       [44, 55, 44]])

numpy.lib.stride_tricks.as_strided numpy.put