date fromat 11-may-2023 pd.to_datetime in python

To parse a date in the format '11-May-2023' using the pd.to_datetime function in Python, you can specify the date format using the format parameter. In this case, the format string would be '%d-%b-%Y'.

Here is an example code snippet:

main.py
import pandas as pd

date_string = '11-May-2023'
date_format = '%d-%b-%Y'

date = pd.to_datetime(date_string, format=date_format)

print(date)
143 chars
9 lines

Output:

main.py
2023-05-11 00:00:00
20 chars
2 lines

In this example, the pd.to_datetime function converts the date string '11-May-2023' to a pandas Timestamp object, which represents a specific date and time.

The format parameter is used to specify the format of the input date string. In this case, '%d' represents the day, '%b' represents the abbreviated month name, and '%Y' represents the four-digit year.

Note that the resulting date variable can be further manipulated using various pandas datetime functionalities.