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Python | Pandas DatetimeIndex.month_name()

Last Updated : 29 Dec, 2018
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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 name Return : 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 Python3
# 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. Python3
# 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 Python3
# 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. Python3
# 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.

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