pandas.DataFrame.rank

DataFrame.rank(axis=0, method='average', numeric_only=None, na_option='keep', ascending=True, pct=False)

Function: Calculate the numerical data (1 to n) along the axis. The rank of equivalents is the average of the ranks of those values. Returns the index sorted from smallest to largest.

Parameters: axis : {0 or 'index', 1 or 'columns'}, default value 0 Sort by which axis

　　    method : {'average', 'min', 'max', 'first'} default value average

　　　　　　average : In equal grouping, assign the average rank to each value

　　　　　　min: use the minimum rank of the entire grouping

　　　　　　max: use the maximum rank of the entire grouping

　　　　　　first: assign the rank according to the order in which the values ​​appear in the original data http://www.cppentry.com Programming Getting Started for Developers p>

　　　 numeric_only : boolean, the default value of None contains only float, int and boolean data. Valid only for DataFrame or Panel objects

　　　 na_option: {'keep', 'top', 'bottom'}  

　　　　　　keep: keep NA values ​​in their original position

　　　　　　top: if ascending, put NA values ​​first

　　　　　　bottom: if descending, put NA Value ranks first

　　    Ascending : boolean, the default value True

　　　　　　True is the ascending order rank False is the descending order rank

　　     pct : boolean, the default value False

　　　　　　　calculates the percentage rank of the data

Return : ranks : same as the caller type