numpy.ma.filled() function return input as an array with masked data replaced by a fill value. If arr is not a MaskedArray, arr itself is returned. If arr is a MaskedArray and fill_value is None, fill_value is set to arr.fill_value.
Syntax : numpy.ma.filled(arr, fill_value = None)
Parameters :
arr : [MaskedArray or array_like] An input object.
fill_value : [scalar, optional] Filling value. Default is None.Return : [ndarray] The filled array.
Code #1 :
# Python program explaining # numpy.ma.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(geek.arange(4).reshape(2, 2), mask =[[1, 0], [0, 1]]) gfg = arr.filled() print (gfg) |
Output :
[[999999 1] [ 2 999999]]
Code #2 :
# Python program explaining # numpy.ma.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(geek.arange(9).reshape(3, 3), mask =[[1, 0, 0], [1, 0, 0], [0, 0, 0]]) gfg = arr.filled() print (gfg) |
Output :
[[999999 1 2] [999999 4 5] [ 6 7 8]]
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