How to convert date column in dataframe from numbers to formatted text Python

Certainly! Converting a date column in a DataFrame from numbers to formatted text is a common task in data analysis and manipulation. In Python, the pandas library provides a convenient way to work with DataFrames, and the datetime module can be used to format dates. Below is a step-by-step tutorial with code examples:
Let's start by creating a sample DataFrame with a numeric date column:
Now that we have the date column as a datetime object, we can use the strftime method to format it as text:
In the strftime method, %Y represents the year with century as a decimal number, %m is the month as a zero-padded decimal number, and %d is the day of the month as a zero-padded decimal number. You can customize the format according to your preference.
If you want to keep only the formatted text column, you can drop the original numeric date column:
This tutorial demonstrates how to convert a numeric date column in a DataFrame to formatted text using Python and the pandas library. You can adapt the code to fit your specific date format and DataFrame structure.
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