pandas.DataFrame.rank¶
Compute numerical data ranks (1 through n) along axis.
By default, equal values are assigned a rank that is the average of the ranks of those values.
- param axis
- {0 or ‘index’, 1 or ‘columns’}, default 0
Index to direct ranking.
- param 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 group
max: highest rank in the group
first: ranks assigned in order they appear in the array
dense: like ‘min’, but rank always increases by 1 between groups
- param numeric_only
- bool, optional
For DataFrame objects, rank only numeric columns if set to True.
- param na_option
- {‘keep’, ‘top’, ‘bottom’}, default ‘keep’
How to rank NaN values:
keep: assign NaN rank to NaN values
top: assign smallest rank to NaN values if ascending
bottom: assign highest rank to NaN values if ascending
- param ascending
- bool, default True
Whether or not the elements should be ranked in ascending order.
- param pct
- bool, default False
Whether or not to display the returned rankings in percentile form.
- return
same type as caller Return a Series or DataFrame with data ranks as values.
Warning
This feature is currently unsupported by Intel Scalable Dataframe Compiler