cudf.MultiIndex#

class cudf.MultiIndex(levels=None, codes=None, sortorder=None, names=None, dtype=None, copy=False, name=None, verify_integrity=True)[source]#

A multi-level or hierarchical index.

Provides N-Dimensional indexing into Series and DataFrame objects.

Parameters:

levelssequence of arrays: The unique labels for each level.
codes: sequence of arrays: Integers for each level designating which label at each location.
sortorderoptional int: Not yet supported
names: optional sequence of objects: Names for each of the index levels.
copybool, default False: Copy the levels and codes.
verify_integritybool, default True: Check that the levels/codes are consistent and valid. Not yet supported

Attributes

`names`	Returns a FrozenList containing the name of the Index.
`nlevels`	Integer number of levels in this MultiIndex.
`levels`	Returns list of levels in the MultiIndex
`codes`	Returns the codes of the underlying MultiIndex.

dtypes

Methods

`from_arrays`(arrays[, sortorder, names])	Convert arrays to MultiIndex.
`from_tuples`(tuples[, sortorder, names])	Convert list of tuples to MultiIndex.
`from_product`(iterables[, sortorder, names])	Make a MultiIndex from the cartesian product of multiple iterables.
`from_frame`(df[, sortorder, names])	Make a MultiIndex from a DataFrame.
`to_frame`([index, name, allow_duplicates])	Create a DataFrame with the levels of the MultiIndex as columns.
`to_flat_index`()	Convert a MultiIndex to an Index of Tuples containing the level values.
`droplevel`([level])	Removes the specified levels from the MultiIndex.
`swaplevel`([i, j])	Swap level i with level j.
`get_level_values`(level)	Return the values at the requested level
`get_loc`(key)	Get integer location, slice or boolean mask for requested label.

set_levels
set_codes
sortlevel
reorder_levels
remove_unused_levels
drop

Returns:

MultiIndex

Examples

>>> import cudf
>>> cudf.MultiIndex(
... levels=[[1, 2], ['blue', 'red']], codes=[[0, 0, 1, 1], [1, 0, 1, 0]])
MultiIndex([(1,  'red'),
            (1, 'blue'),
            (2,  'red'),
            (2, 'blue')],
           )