numpy.ma.clump_unmasked() function | Python

numpy.ma.clump_masked() function | Python

Last Updated : 22 Apr, 2020

numpy.ma.clump_masked() function returns a list of slices corresponding to the masked clumps of a 1-D array.

Syntax : numpy.ma.clump_masked(arr)

Parameters :
arr : [ndarray] A one-dimensional masked array.

Return : [list of slice] The list of slices, one for each continuous region of masked elements in arr.

Code #1 :

# Python program explaining 
# numpy.ma.clump_masked() function 
  
# importing numpy as geek   
# and numpy.ma module as ma  
import numpy as geek  
import numpy.ma as ma  
  
arr = geek.ma.masked_array(geek.arange(8)) 
arr[[0, 1, 2, 6]] = geek.ma.masked 
   
gfg = geek.ma.clump_masked(arr) 
  
print (gfg) 

Output :

[slice(0, 3, None), slice(6, 7, None)]

Code #2 :

# Python program explaining 
# numpy.ma.clump_masked() function 
  
# importing numpy as geek   
# and numpy.ma module as ma  
import numpy as geek  
import numpy.ma as ma  
  
arr = geek.ma.masked_array(geek.arange(10)) 
arr[[0, 1, 2, 6, 8, 9]] = geek.ma.masked 
   
gfg = geek.ma.clump_masked(arr) 
  
print (gfg) 

Output :

[slice(0, 3, None), slice(6, 7, None), slice(8, 10, None)]

numpy.ma.clump_unmasked() function | Python

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