Python | Pandas Series.dt.month_name

Опубликовано: 27 Марта, 2022

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.

Выход :

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)

Выход :

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)

Выход :

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)

Выход :

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.

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Python | Pandas Series.dt.month_name

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