Select rows by partial string with query with pandas

Question

I have a DataFrame. 1 column (name) has string values. I was wondering if there was a way to select rows based on a partial string match against a particular column, using the DataFrame.query() method.

I tried:

• df.query('name.str.contains("lu")'). Error message: "TypeError: 'Series' objects are mutable, thus they cannot be hashed"
• df.query('"lu" in name'). Returns an empty DataFrame.

The code I use:

import pandas as pd

df = pd.DataFrame({
    'name':['blue','red','blue'],
    'X1':[96.32,96.01,96.05]
}, columns=['name','X1'])  


print(df.query('"lu" in name').head())
print(df.query('name.str.contains("lu")').head())

I know I could use df[df['name'].str.contains("lu")] but I prefer to use query.

Answer 1

The issue that @ayhan refers to now shows how this can be achieved by using query's python engine:

print(df.query('name.str.contains("lu")', engine='python').head())

should work.