Pandas Series dt.month_name() | Get Month Name From DateTime Series

Pandas dt.month_name() method returns the month names of the DateTimeIndex with specified locale.

Example

Python3

import pandas as pd
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'])

idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']
sr.index = idx
sr = pd.to_datetime(sr)
result = sr.dt.month_name(locale = 'English')
print(result)

Output

Syntax

Syntax: Series.dt.month_name(locale=None) 

Parameter 

• locale : Locale determining the language in which to return the month name. Default is English locale. 

Returns: Index of month names

How to Get the Month Names from the DateTime Series

To get the names of the months from the DateTime objects in a Pandas Series we use the dt.month_name() method of the Pandas library in Python.

Let us understand it better with an example:

Example:

Use the 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.

Python3

# 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 the Series.dt.month_name() function to return the names of the month of each timestamp in the given series object.

Python3

# 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.