putmask(a, mask, values)
Sets a.flat[n] = values[n]
for each n where mask.flat[n]==True
.
If :None:None:`values` is not the same size as a and :None:None:`mask` then it will repeat. This gives behavior different from a[mask] = values
.
Target array.
Boolean mask array. It has to be the same shape as a.
Values to put into a where :None:None:`mask` is True. If :None:None:`values` is smaller than a it will be repeated.
Changes elements of an array based on conditional and input values.
>>> x = np.arange(6).reshape(2, 3)
... np.putmask(x, x>2, x**2)
... x array([[ 0, 1, 2], [ 9, 16, 25]])
If :None:None:`values` is smaller than a it is repeated:
>>> x = np.arange(5)See :
... np.putmask(x, x>1, [-33, -44])
... x array([ 0, 1, -33, -44, -33])
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.put
numpy.ma.core.putmask
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