Skip to content
Related Articles

Related Articles

numpy.compress() in Python
  • Last Updated : 22 Oct, 2020

The numpy.compress() function returns selected slices of an array along mentioned axis, that satisfies an axis.

Syntax: numpy.compress(condition, array, axis = None, out = None)

Parameters :

condition : [array_like]Condition on the basis of which user extract elements. 
      Applying condition on input_array, if we print condition, it will return an arra
      filled with either True or False. Array elements are extracted from the Indices having 
      True value.
array     : Input array. User apply conditions on input_array elements
axis      : [optional, int]Indicating which slice to select. 
         By Default, work on flattened array[1-D]
out       : [optional, ndarray]Output_array with elements of input_array, 
               that satisfies condition

Return :

Copy of array with elements of input_array,
that satisfies condition and along given axis

# Python Program illustrating
# numpy.compress method
import numpy as geek
array = geek.arange(10).reshape(5, 2)
print("Original array : \n", array)
a = geek.compress([0, 1], array, axis=0)
print("\nSliced array : \n", a)
a = geek.compress([False, True], array, axis=0)
print("\nSliced array : \n", a)

Output :

Original array : 
 [[0 1]
 [2 3]
 [4 5]
 [6 7]
 [8 9]]

Sliced array : 
 [[2 3]]

Sliced array : 
 [[2 3]]

References :
Note :
This codes won’t run on online-ID. Please run them on your systems to explore the working.
This article is contributed by Mohit Gupta_OMG πŸ˜€. If you like GeeksforGeeks and would like to contribute, you can also write an article using or mail your article to See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up
Recommended Articles
Page :