How to slice by checkng a list of conditions in Pandas

Question

You can slice the dataframe by a equality check

df[df['column'] == 'key']

How do I slice the dataframe via a check into a set?

df[df['column'] in set(['key', 'key2', key3'])]

Possible duplicate of [Select rows from a DataFrame based on values in a column in pandas](https://stackoverflow.com/questions/17071871/select-rows-from-a-dataframe-based-on-values-in-a-column-in-pandas) — Quang Hoang, May 27 '19 at 21:05
Possible duplicate of [How to implement 'in' and 'not in' for Pandas dataframe](https://stackoverflow.com/questions/19960077/how-to-implement-in-and-not-in-for-pandas-dataframe) — Erfan, May 27 '19 at 21:14

score 2 · Accepted Answer · answered May 27 '19 at 21:16

2

df[df["column"].isin(["key1", "key2", "key3"])]

This will do it.

answered May 27 '19 at 21:16

secretive

1 Answers1