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Python | numpy.isin() method
• Last Updated : 27 Sep, 2019

With the help of `numpy.isin()` method, we can see that one array having values are checked in a different numpy array having different elements with different sizes.

Syntax : `numpy.isin(target_array, list)`

Return : Return boolean array having same size as of target_array.

Example #1 :

In this example we can see that by using `numpy.isin()` method, we are able to get the boolean array if elements are matched with the target array.

 `# import numpy``import` `numpy as np`` ` `# using numpy.isin() method``gfg1 ``=` `np.array([``1``, ``2``, ``3``, ``4``, ``5``])``lis ``=` `[``1``, ``3``, ``5``]``gfg ``=` `np.isin(gfg1, lis)`` ` `print``(gfg)`

Output :

[ True False True False True]

Example #2 :

 `# import numpy``import` `numpy as np`` ` `# using numpy.isin() method``gfg1 ``=` `np.array([[``1``, ``3``], [``5``, ``7``], [``9``, ``11``]])``lis ``=` `[``1``, ``3``, ``11``, ``9``]``gfg ``=` `np.isin(gfg1, lis)`` ` `print``(gfg)`

Output :

[[ True True]
[False False]
[ True True]]

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