Numpy MaskedArray.filled() method Python (original) (raw)

Last Updated : 26 Mar, 2020

numpy.MaskedArray.filled() function return a copy of self, with masked values filled with a given value. However, if there are no masked values to fill, self will be returned instead as an ndarray.

Syntax : numpy.MaskedArray.filled(self, fill_value = None)

Parameters :
fill_value : [scalar, optional] The value to use for invalid entries, by default is None. If None, the fill_value attribute of the array is used instead.

Return :
filled_array : [ndarray] A copy of self with invalid entries replaced by fill_value or self itself as an ndarray if there are no invalid entries to be replaced.

Code #1 :

import numpy as geek

import numpy.ma as ma

arr = geek.ma.array([ 2 , 4 , 6 , 8 , 10 ], mask = [ 0 , 0 , 1 , 0 , 1 ],

`` fill_value = - 999 )

gfg = arr.filled()

print (gfg)

Output :

[ 2 4 -999 8 -999]

Code #2 :

import numpy as geek

import numpy.ma as ma

arr = geek.ma.array([ 1 , 2 , 3 , 4 , 5 ], mask = [ 1 , 0 , 1 , 0 , 0 ],

`` fill_value = - 999 )

gfg = arr.filled()

print (gfg)

Output :

[-999 2 -999 4 5]

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