Prerequisite: numpy
This numpy inbuilt function suppresses whole columns that contain masked values in a 2-D array.
Syntax: numpy.ma.compress_cols(arr)
Parameters :
arr : [array_like, MaskedArray]
- This parameter holds the array to operate on.
- The array must be a 2D array.
- If no array elements are masked, arr is interpreted as a MaskedArray with mask set to nomask.
Return : Returns the compressed array.
Below is the Implementation of the above function.
Example 1:
Python3
# importing numpy as geek import numpy as geek # defining an array with mask arr = geek.ma.array(geek.arange(6).reshape(2, 3), mask=[[1, 0, 0], [0, 0, 0]]) # applying mask to array elements gfg = geek.ma.compress_cols(arr) print(gfg) |
Output :
[[1 2] [4 5]]
Example 2:
Python3
# importing numpy as geek import numpy as geek # defining array arr = geek.ma.array(geek.arange(9).reshape(3, 3), mask=[ [1, 0, 0], [1, 0, 0], [0, 0, 0]]) # applying mask to array elements gfg = geek.ma.compress_cols(arr) print(gfg) |
Output :
[[1 2] [4 5] [7 8]]
