Answers for "find rows contain keyword in a column pandas"

pandas select rows that contain substring

# Basic syntax to select rows that contain one substring:
import pandas as pd
df[df['column_name'].str.contains('substring')]

# Note, this only returns rows that contain substring in the specified
#	column, it doesn't look for the substring in all columns
# Note, substring can be replaced with any REGEX expression

# Basic syntax to select rows that contain 2+ substrings:
import pandas as pd
df[df['column_name'].str.contains('substring_1|substring_2')]
# Where you can keep adding substrings to look for separated by |

# Basic syntax to select rows that do not contain substring:
import pandas as pd
df[~df['column_name'].str.contains('substring')]
# Where the ~ acts as a NOT to negate the results of the search

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)