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place(arr, mask, vals)

Similar to np.copyto(arr, vals, where=mask) , the difference is that place uses the first N elements of :None:None:`vals`, where N is the number of True values in :None:None:`mask`, while copyto uses the elements where :None:None:`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 :None:None:`mask`. If :None:None:`vals` is smaller than N, it will be repeated, and if elements of a are to be masked, this sequence must be non-empty.

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

See Also

copyto
extract
put
take

Examples

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

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.extract numpy.put numpy.place numpy.core._multiarray_umath.putmask numpy.putmask

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GitHub : /numpy/lib/function_base.py#1888
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