The right way to parse date

Question

Exist an easier way to do this kind of parse date?

I'm trying to make a filter in pandas to localize dates 3 months ago and loc the entire month too.

The code works, but I'm searching for the best way.

final_date = pd.to_datetime(f'{(datetime.today() - timedelta(days=90)).year}-{(datetime.today() - timedelta(days=90)).month}-01', dayfirst=True)

Answer 1

My Suggestion

This version of the code is more concise and easier to read. It avoids using multiple calls to datetime.today() and string formatting.

import pandas as pd
from datetime import date, timedelta

# Calculate the date 90 days ago
d = date.today() - timedelta(days=90)

# Format the date as a string in the '%Y-%m-01' format
date_str = d.strftime('%Y-%m-01')

# Parse the string as a datetime object
final_date = pd.to_datetime(date_str, dayfirst=True)