pandas.MultiIndex.from_arrays#

classmethodMultiIndex.from_arrays(arrays,sortorder=None,names=<no_default>)[source]#

Convert arrays to MultiIndex.

Parameters:

arrayslist / sequence of array-likes

Each array-like gives one level’s value for each data point.len(arrays) is the number of levels.

sortorderint or None

Level of sortedness (must be lexicographically sorted by thatlevel).

nameslist / sequence of str, optional

Names for the levels in the index.

Returns:

MultiIndex

See also

MultiIndex.from_tuples

Convert list of tuples to MultiIndex.

MultiIndex.from_product

Make a MultiIndex from cartesian product of iterables.

MultiIndex.from_frame

Make a MultiIndex from a DataFrame.

Examples

>>>arrays=[[1,1,2,2],['red','blue','red','blue']]>>>pd.MultiIndex.from_arrays(arrays,names=('number','color'))MultiIndex([(1,  'red'),            (1, 'blue'),            (2,  'red'),            (2, 'blue')],           names=['number', 'color'])