I have a dataset and would like to create a new column that looks 90 days back from the start_Date
column. I have tried two ways and both cause a typeError.
df['prior_date'] = df['start_Date'] - 90
And I tried
df['prior'] = (df['start_Date')] - dt(days = 90)).strftime('%Y-%m-%D')
Any suggestions on how to have the created column prior
work? Thank you
Use pandas' timedelta method:
df['prior_date'] = df['start_Date'] - pd.Timedelta(90, "d")