Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas DatetimeIndex.month_name() function return the month names of the DateTimeIndex with specified locale. The default locale is None in which case the names are returned in English language.
Syntax: DatetimeIndex.month_name(locale=None)
Parameters :
locale : locale determining the language in which to return the month nameReturn : Index of month names
Example #1: Use DatetimeIndex.month_name() function to return the month name of each entry in the DatetimeIndex object. Return the names of the month in French locale
# importing pandas as pd import pandas as pd # Create the DatetimeIndex # Here 'Q' represents quarterly frequency didx = pd.DatetimeIndex(start ='2018-11-15 09:45:10', freq ='Q', periods = 5) # Print the DatetimeIndex print(didx) |
Output :
Now we want to return the names of the month in French locale.
# return the names of the month in French didx.month_name(locale ='French') |
Output :
As we can see in the output, the function has returned an Index object containing the names of the month in French.
Example #2: Use DatetimeIndex.month_name() function to return the month name of each entry in the DatetimeIndex object. Return the names of the month in German locale
# importing pandas as pd import pandas as pd # Create the DatetimeIndex # Here 'M' represents monthly frequency didx = pd.DatetimeIndex(start ='2015-03-02', freq ='M', periods = 5) # Print the DatetimeIndex print(didx) |
Output :
Now we want to return the names of the month in German locale.
# return the names of the month in German didx.month_name(locale ='German') |
Output :
As we can see in the output, the function has returned an Index object containing the names of the month in German locale.
