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Numpy MaskedArray.filled() method – Python

  • 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 :






# 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]

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