numpy.place()

numpy.place(arr, mask, vals) [source]

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:

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.

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.

Examples

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

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.place.html

doc_NumPy

2017-01-10 18:16:28

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