bigframes.pandas.Series.rank#
- Series.rank(axis=0,method:str='average',numeric_only=False,na_option:str='keep',ascending:bool=True,pct:bool=False)→Series[source]#
Compute numerical data ranks (1 through n) along axis.
By default, equal values are assigned a rank that is the average of theranks of those values.
- Parameters:
method ({'average','min','max','first','dense'},default 'average') – How to rank the group of records that have the same value (i.e. ties):average: average rank of the group,min: lowest rank in the groupmax`: highest rank in the group,first: ranks assigned in order theyappear in the array,dense: like ‘min’, but rank always increases by1 between groups.
numeric_only (bool,default False) – For DataFrame objects, rank only numeric columns if set to True.
na_option ({'keep','top','bottom'},default 'keep') – How to rank NaN values:keep: assign NaN rank to NaN values,,top: assign lowest rank to NaN values,bottom: assign highestrank to NaN values.
ascending (bool,default True) – Whether or not the elements should be ranked in ascending order.
pct (bool,default False) – Whether or not to display the returned rankings in percentileform.
- Returns:
Return a Series or DataFrame with data ranks as values.
- Return type: