numpy.putmask()

numpy.putmask(a, mask, values)

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

Sets a.flat[n] = values[n] for each n where mask.flat[n]==True.

If values is not the same size as a and mask then it will repeat. This gives behavior different from a[mask] = values.

Parameters:

Parameters:	a : array_like Target array. mask : array_like Boolean mask array. It has to be the same shape as `a`. values : array_like Values to put into `a` where `mask` is True. If `values` is smaller than `a` it will be repeated.

a : array_like

Target array.

mask : array_like

Boolean mask array. It has to be the same shape as a.

values : array_like

Values to put into a where mask is True. If values is smaller than a it will be repeated.

>>> x = np.arange(6).reshape(2, 3)
>>> np.putmask(x, x>2, x**2)
>>> x
array([[ 0,  1,  2],
       [ 9, 16, 25]])

If values is smaller than a it is repeated:

>>> x = np.arange(5)
>>> np.putmask(x, x>1, [-33, -44])
>>> x
array([  0,   1, -33, -44, -33])

Links:

doc_NumPy

2017-01-10 18:17:56

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