Given a date like 8300 BCE, I run pd.to_datetime("-8300", format="%y").
This produces ValueError: time data '-8300' does not match format '%y' (match).
Is there a way to handle "negative" dates in Pandas?
Given a date like 8300 BCE, I run pd.to_datetime("-8300", format="%y").
This produces ValueError: time data '-8300' does not match format '%y' (match).
Is there a way to handle "negative" dates in Pandas?