Pandas rank by multiple columns

Question

I am trying to rank a pandas data frame based on two columns. I can rank it based on one column, but how can to rank it based on two columns? \'SaleCount\', then \'TotalReve

Answer 1

(The correct way to rank two (nonnegative) int columns is as per Nickil Maveli's answer, to cast them to string, concatenate them and cast back to int.)

However here's a shortcut if you know that TotalRevenue is constrained to some range e.g. 0 to MAX_REVENUE=100,000 ; directly manipulate them as nonnegative integers:

df['Rank'] = (df['SaleCount']*MAX_REVENUE + df['TotalRevenue']).rank(method='dense', ascending=False).astype(int)

df.sort_values('Rank2')