Login Register

MultiIndex.factorize()

MultiIndex.factorize(sort=False, na_sentinel=-1) [source]

Encode the object as an enumerated type or categorical variable

Parameters:

sort : boolean, default False

Sort by values

na_sentinel: int, default -1

Value to mark ?not found?

Returns:

labels : the indexer to the original array

uniques : the unique Index

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.MultiIndex.factorize.html

doc_Pandas

2017-01-12 04:49:37

Comments

Leave a Comment

Please login to continue.

Popular Articles

pandas.factorize() pandas.factorize(values, sort=False, order=None, na_sentinel=-1, size_hint=None) [source] Encode input values as an enumerated type or categorica

TimedeltaIndex.factorize() TimedeltaIndex.factorize(sort=False, na_sentinel=-1) [source] Encode the object as an enumerated type or categorical variable Parameters: sort :

Series.factorize() Series.factorize(sort=False, na_sentinel=-1) [source] Encode the object as an enumerated type or categorical variable Parameters: sort : boolean

Index.factorize() Index.factorize(sort=False, na_sentinel=-1) [source] Encode the object as an enumerated type or categorical variable Parameters: sort : boolean,

CategoricalIndex.factorize() CategoricalIndex.factorize(sort=False, na_sentinel=-1) [source] Encode the object as an enumerated type or categorical variable Parameters: sort