Related Articles

# numpy.extract() in Python

• Last Updated : 22 Oct, 2020

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 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 satisy 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 satisy 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 wonβt run on online-ID. Please run them on your systems to explore the working.
This article is contributed by Mohit Gupta_OMG π. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@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.

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. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up