Numpy MaskedArray.getdata() - Python
Last Updated :
26 Mar, 2020
Improve
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() method
gfg = ma.getdata(arr)
print("Output array : ", gfg)
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() method
gfg = ma.getdata(arr)
print("Output array : ", gfg)
Input array : [[1 3] [-- 8]] Output array : [[1 3] [5 8]]