pandas check which values in dataframe column match values in another dataframe column code example

Example 1: finding the rows in a dataframe where column contains any of these values python

import pandas as pd

data = {'Month': ['January','February','March','April','May','June','July','August','September','October','November','December'],
        'Days in Month': [31,28,31,30,31,30,31,31,30,31,30,31]
        }

df = pd.DataFrame(data, columns = ['Month', 'Days in Month'])

contain_values = df[df['Month'].str.contains('Ju')]
print (contain_values)

Example 2: pandas look for values in column with condition

df.loc[(df['column_name'] >= A) & (df['column_name'] <= B)]