numpy.ma.masked_all_like() function return an empty masked array of the same shape and dtype as the array arr, where all the data are masked.
Syntax : numpy.ma.masked_all_like(arr)
Parameter :
arr : [ndarray] An array describing the shape and dtype of the required MaskedArray.Return : [MaskedArray] A masked array with all data masked.
Code #1 :
# Python program explaining # numpy.ma.masked_all_like() function   # importing numpy as geek # and numpy.ma module as ma import numpy as geek import numpy.ma as ma   arr = geek.zeros((4, 4), dtype = geek.float32)   gfg = ma.masked_all_like(arr)   print (gfg) |
Output :
[[-- -- -- --] [-- -- -- --] [-- -- -- --] [-- -- -- --]]
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Code #2 :
# Python program explaining # numpy.ma.masked_all_like() function   # importing numpy as geek # and numpy.ma module as ma import numpy as geek import numpy.ma as ma   arr = geek.zeros((4, 3), dtype = geek.float32)   gfg = ma.masked_all_like(arr)   print (gfg) |
Output :
[[-- -- --] [-- -- --] [-- -- --] [-- -- --]]
