Numpy MaskedArray.getdata() - Python

Numpy MaskedArray.getdata() - Python

Last Updated : 26 Mar, 2020

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)

 
# 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() methodgfg = 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)

 
# 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() methodgfg = ma.getdata(arr)print("Output array : ", gfg)

Output :

Input array :  [[1 3]
 [-- 8]]
Output array :  [[1 3]
 [5 8]]

Numpy MaskedArray.getdata() - Python

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