Get Month from date in Pandas – Python Last Updated : 02 Jul, 2020 Improve Improve Like Article Like Save Share Report Pandas has many inbuilt methods that can be used to extract the month from a given date that are being generated randomly using the random function or by using Timestamp function or that are transformed to date format using the to_datetimefunction. Let’s see few examples for better understanding. Example 1 import pandas as pd dti = pd.date_range('2020-07-01', periods = 4, freq ='M') print(dti.month) Output: Int64Index([7, 8, 9, 10], dtype='int64') Example 2 import pandas as pd import numpy as np import datetime date1 = pd.Series(pd.date_range('2020-7-1 12:00:00', periods = 5)) df = pd.DataFrame(dict(date_given = date1)) df['month_of_date'] = df['date_given'].dt.month df Output: Example 3 import pandas as pd import datetime import numpy as np dates =['14 / 05 / 2017', '2017', '07 / 09 / 2017'] frame = pd.to_datetime(dates, dayfirst = True) frame = pd.DataFrame([frame]).transpose() frame['date']= frame frame['month']= frame['date'].dt.month frame.drop(0, axis = 1, inplace = True) frame Output: Like Article Suggest improvement Previous Add Column to Pandas DataFrame with a Default Value Next Get minimum values in rows or columns with their index position in Pandas-Dataframe Share your thoughts in the comments Add Your Comment Please Login to comment...