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numpy.ma.clump_masked() function | Python

Last Updated : 22 Apr, 2020
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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)]


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