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