numpy.ma.set_fill_value — NumPy v1.13 Manual (original) (raw)

numpy.ma. set_fill_value(a, fill_value)[source]

Set the filling value of a, if a is a masked array.

This function changes the fill value of the masked array a in place. If a is not a masked array, the function returns silently, without doing anything.

Parameters: a : array_like Input array. fill_value : dtype Filling value. A consistency test is performed to make sure the value is compatible with the dtype of a.
Returns: None Nothing returned by this function.

Examples

import numpy.ma as ma a = np.arange(5) a array([0, 1, 2, 3, 4]) a = ma.masked_where(a < 3, a) a masked_array(data = [-- -- -- 3 4], mask = [ True True True False False], fill_value=999999) ma.set_fill_value(a, -999) a masked_array(data = [-- -- -- 3 4], mask = [ True True True False False], fill_value=-999)

Nothing happens if a is not a masked array.

a = range(5) a [0, 1, 2, 3, 4] ma.set_fill_value(a, 100) a [0, 1, 2, 3, 4] a = np.arange(5) a array([0, 1, 2, 3, 4]) ma.set_fill_value(a, 100) a array([0, 1, 2, 3, 4])