How to “select distinct” across multiple data frame columns in pandas?

Question

I\'m looking for a way to do the equivalent to the SQL

SELECT DISTINCT col1, col2 FROM dataframe_table

The pandas sql comparison doesn\'t

Answer 1

To solve a similar problem, I'm using groupby:

print(f"Distinct entries: {len(df.groupby(['col1', 'col2']))}")

Whether that's appropriate will depend on what you want to do with the result, though (in my case, I just wanted the equivalent of COUNT DISTINCT as shown).