numpy.ma.getdata() function is used return the data of a masked array as an ndarray. Return the data of arr as an ndarray if arr is a MaskedArray, else return arr as a ndarray or subclass if not.
Syntax : numpy.ma.getdata(a, subok=True)
Parameters :
arr : [array_like] Input MaskedArray, alternatively a ndarray or a subclass thereof.
subok : [bool] Whether to force the output to be a pure ndarray (False) or to return a subclass of ndarray if appropriate (True, default).Return : [ndarray] Return the data of a masked array as an ndarray.
Code #1 :
# Python program explaining # numpy.ma.getdata() function # importing numpy as geek # and numpy.ma module as ma import numpy as geek import numpy.ma as ma arr = ma.masked_equal([[2, 4], [6, 8]], 4) print("Input array : ", arr) # applying numpy.ma.getdata() method gfg = ma.getdata(arr) print("Output array : ", gfg) |
Output :
Input array : [[2 --] [6 8]] Output array : [[2 4] [6 8]]
Code #2 :
# Python program explaining # numpy.ma.getdata() function # importing numpy as geek # and numpy.ma module as ma import numpy as geek import numpy.ma as ma arr = ma.masked_equal([[1, 3], [5, 8]], 5) print("Input array : ", arr) # applying numpy.ma.getdata() method gfg = ma.getdata(arr) print("Output array : ", gfg) |
Output :
Input array : [[1 3] [-- 8]] Output array : [[1 3] [5 8]]
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