Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.month_name() function return the month names of the DateTimeIndex with specified locale.
Syntax: Series.dt.month_name(*args, **kwargs)
Parameter :
locale : Locale determining the language in which to return the month name. Default is English locale.Returns : Index of month names.
Example #1: Use Series.dt.month_name() function to return the month names of the underlying datetime data in the given series object. Return the names of the month in English language.
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(['2012-12-31 08:45', '2019-1-1 12:30', '2008-02-2 10:30', '2010-1-1 09:25', '2019-12-31 00:00']) # Creating the index idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5'] # set the index sr.index = idx # Convert the underlying data to datetime sr = pd.to_datetime(sr) # Print the series print(sr) |
Output :
Now we will use Series.dt.month_name() function to return the names of the month of each timestamp in the given series object.
# return month name in english result = sr.dt.month_name(locale = 'English') # print the result print(result) |
Output :
As we can see in the output, the Series.dt.month_name() function has successfully returned the names of the month in the specified language.
Example #2 : Use Series.dt.month_name() function to return the month names of the underlying datetime data in the given series object. Return the names of the month in French language.
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(pd.date_range('2012-12-31 09:45', periods = 5, freq = 'Q', tz = 'Europe / Berlin')) # Creating the index idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5'] # set the index sr.index = idx # Print the series print(sr) |
Output :
Now we will use Series.dt.month_name() function to return the names of the month of each timestamp in the given series object.
# return month name in french result = sr.dt.month_name(locale = 'French') # print the result print(result) |
Output :
As we can see in the output, the Series.dt.month_name() function has successfully returned the names of the month in the specified language.
