## Get the items which are not common of two Pandas series

Pandas does not support specific methods to perform set operations. However, we can use the following formula to get unique items from both the sets :

**Algorithm :**

- Import the
`Pandas`

and`NumPy`

modules. - Create 2
`Pandas Series`

. - Find the union of the series using the
`union1d()`

method. - Find the intersection of the series using the
`intersect1d()`

method. - Find the difference between the union and the intersection elements. Use the
`isin()`

method to get the boolean list of items present in both ‘union’ and ‘intersect’. - Print the result

`# import the modules` `import` `pandas as pd ` `import` `numpy as np` ` ` `# create the series ` `ser1 ` `=` `pd.Series([` `1` `, ` `2` `, ` `3` `, ` `4` `, ` `5` `])` `ser2 ` `=` `pd.Series([` `3` `, ` `4` `, ` `5` `, ` `6` `, ` `7` `])` ` ` `# union of the series` `union ` `=` `pd.Series(np.union1d(ser1, ser2))` ` ` `# intersection of the series` `intersect ` `=` `pd.Series(np.intersect1d(ser1, ser2))` ` ` `# uncommon elements in both the series ` `notcommonseries ` `=` `union[~union.isin(intersect)]` ` ` `# displaying the result` `print` `(notcommonseries)` |

**Output :**

1, 2, 6, 7

Last Updated on October 23, 2021 by admin