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 :
Python3 `
Python program explaining
numpy.MaskedArray.filled() function
importing numpy as geek
and numpy.ma module as ma
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 :
Python3 `
Python program explaining
numpy.MaskedArray.filled() function
importing numpy as geek
and numpy.ma module as ma
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]