Pandas Series dt.strftime() Method | Change Date Format in Series

The dt.strftime() method converts the datetime objects in the Pandas Series to a specified date format.

The function returns an index of formatted strings specified by date_format, which supports the same string format as the Python standard library.

Example

Output:

Syntax

Syntax: Series.dt.strftime(Date_Format) 

Parameter 

• date_format : Date format string (e.g. “%Y-%m-%d”) 

Returns: NumPy ndarray of formatted string

How to change the Date Format of DateTime objects in a Pandas Series

To change the date format of DateTime objects in a Pandas Series we use the dt.strftime method of the Pandas library in Python.

To understand it better, let us look at some example

Example:

Output:

👁 datetime series created

Now we will use the Series dt.strftime() function to convert the dates in the series object to the specified format.

Output :

👁 date format changed after dt.strftime

As we can see in the output, the dt.strftime() function has successfully converted the dates in the given series object to the specified format.