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