Adventures in Machine Learning

Mastering the Art of Month Name Conversions in Python

Python programming language is widely used for its versatility and simplicity in various industries. One critical element in data analysis is transforming numerous numbers into readable format, particularly month names.

In Python, there are different techniques to convert numbers to month names. Method I: Using the calendar Module

Have you ever had a CSV file with a column that displays month numbers, but it needs to be in a month name format?

Using the calendar modules full or short format, you can display the names. To access the month name method within the calendar module, you need to import it using the following statement: import calendar.

For instance, consider the following code;

print(calendar.month_name[1]) #Full format name

print(calendar.month_abbr[1]) #Short format name

When executing this code, the first line returns the full format month name January, while the second line shows the short version Jan of the month name. The calendar modules feature is not limited to month names, and its useful in finding leap years, weekdays, and many other calendar-related operations.

Method II: Using the datetime Module

The datetime modules strftime() method is an incredibly versatile way to transform dates and time into readable strings. When you need to convert a month number to a month name in Python, you can use the strftime() method in the datetime module.

With this technique, you have a choice of displaying a full or short name of the month. Suppose you have a date in your dataset with a month number, say 1; to print the full format name of the month using strftime(), you can run the following code.

import datetime

date =

month_number = 1

date = date.replace(month=month_number)


This will output the full name of the month, which is January. In contrast, replace %B with %b in the last line of code, and the month is returned in the short name format, Jan.

Method III: Using the pandas Module

The pandas module, which is primarily used for data manipulation, is also helpful in converting numbers to month names in Python. When using pandas to convert month numbers to their respective month names, the dt.month_name() method is applied to a range of dates using the pd.date_range() function.

import pandas as pd

dates = pd.date_range(start=’2022-01-01′, end=’2022-12-31′, freq= ‘M’)

month_names = dates.strftime(“%B”)


In this code, we create a date range with monthly frequency starting from January 1st, 2022, and ending on December 31st, 2022. The query will return all month names in the full format.


In conclusion, converting numbers to month names in Python is quite essential in data analysis. This article outlined three simple yet effective techniques to transform month numbers to their respective names in full or short format.

While each technique varies in its capability, all of them provide enough versatility to transform month numbers to meaningful information. Understanding these techniques will certainly come in handy when manipulating dates in your dataset.

In conclusion, this article highlighted three techniques to convert numbers to month names in Python: the calendar module, the datetime module, and the pandas module. These techniques are crucial in data analysis when dealing with dates, and understanding them will help simplify the process.

By using these techniques, you can either display the full or short format names of the month. As a result, these techniques provide enough versatility to transform month numbers to meaningful information, which will be useful in manipulating dates in your dataset.

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