Skip to content
Related Articles

Related Articles

numpy.extract() in Python

View Discussion
Improve Article
Save Article
  • Last Updated : 09 Mar, 2022

The numpy.extract() function returns elements of input_array if they satisfy some specified condition.
 

Syntax: numpy.extract(condition, array)

Parameters :  

array     : Input array. User apply conditions on input_array elements
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 array
      filled with either True or False. Array elements are extracted from the Indices having 
      True value.

Returns : 

Array elements that satisfy the condition.

Python




# Python Program illustrating
# numpy.compress method
 
import numpy as geek
 
array = geek.arange(10).reshape(5, 2)
print("Original array : \n", array)
 
a = geek.mod(array, 4) !=0
# This will show element status of satisfying condition
print("\nArray Condition a : \n", a)
 
# This will return elements that satisfy condition "a" condition
print("\nElements that satisfy condition a  : \n", geek.extract(a, array))
 
 
 
b = array - 4 == 1
# This will show element status of satisfying condition
print("\nArray Condition b : \n", b)
 
# This will return elements that satisfy condition "b" condition
print("\nElements that satisfy condition b  : \n", geek.extract(b, array))

Output : 

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

Array Condition a : 
 [[False  True]
 [ True  True]
 [False  True]
 [ True  True]
 [False  True]]

Elements that satisfy condition a  : 
 [1 2 3 5 6 7 9]

Array Condition b : 
 [[False False]
 [False False]
 [False  True]
 [False False]
 [False False]]

Elements that satisfy condition b  : 
 [5]

References : 
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.extract.html#numpy.extract 
Note : 
Also, these codes won’t run on online IDE’s. So please, run them on your systems to explore the working.
This article is contributed by Mohit Gupta_OMG 😀. If you like GeeksforGeeks and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to review-team@geeksforgeeks.org. 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.

My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!