How to use Rank in pandas

Editor to share with you how to use Rank in pandas, I believe most people do not know much about it, so share this article for your reference, I hope you can learn a lot after reading this article, let's go to know it!

Rank

Rank is a ranking function that ranks the values of the original sequence according to the rules (from big to small, from small to big), and returns the ranking after the ranking.

For example, there is a sequence [1Magne7d5], which uses rank to rank from small to big, and returns [1mem4d3], which is the ranking position of each value in the previous sequence.

Usage:

Rank (axis=0, method: str = 'average', numeric_only: Union [bool, NoneType] = None, na_option: str =' keep', ascending: bool = True, pct: bool = False)

Parameter function:

(1) axis: row or column

(2) method: how to return the ranking. You can choose {'average',' min', 'max',' first', 'dense'}.

Method=average default setting: the same value occupies the top two, and you can't tell who is 1 and who is 2, then the median value is 1.5, and the following one is the third.

Method=max: two people tied for second place, and the next person is third.

Method=min: two people tied for 1st place, and the next person is 3rd.

Method=dense: two people tied for first place, and the next person is second place.

Method=first: the same value is set according to its relative position in the sequence

(3) ascending: positive order and reverse order

Rank the value_1 listed in df:

Df ['rank_1'] = df [' value_1'] .rank () df

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