Pandas check if string contains substring

You can use str.contains() on a pandas column and pass the substring as an argument to filter for rows containing the substring.

Pandas check if the string contains a substring

Simple example code.

Download CSV file

import pandas as pd

companies = pd.read_csv("companies.csv")

print(companies.shape)
# print(companies.head())

print(companies[companies.slogan.str.contains("secret")])

Output:

Source: https://realpython.com/python-string-contains-substring/

Pandas check if a row contains a string rather than an exact match

Use columns rather than rows when using pandas

df.your_col.str.contains("fox")

which will return an array of booleans, one bool for each row

Below you will get a dataframe where each row has a fox in your_col column.

df[df.your_col.str.contains("fox")]

You can adjust the substring as needed to match your specific requirements. Additionally, you can set the case parameter to False if you want the search to be case-insensitive.

Do comment if you have any doubts or suggestions on this Python Pandas topic.

Note: IDE: PyCharm 2021.3.3 (Community Edition)

Windows 10

Python 3.10.1

All Python Examples are in Python 3, so Maybe its different from python 2 or upgraded versions.