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 :
# 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 :
# 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]
