cudf.MultiIndex#
- class cudf.MultiIndex(levels=None, codes=None, sortorder=None, names=None, dtype=None, copy=False, name=None, **kwargs)#
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
- 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')], )
Attributes
Returns a tuple containing the name of the Index.
Integer number of levels in this MultiIndex.
Returns list of levels in the MultiIndex
Returns the codes of the underlying MultiIndex.
dtypes
Methods
from_arrays
(arrays[, sortorder, names])Convert arrays to MultiIndex.
from_tuples
(tuples[, names])Convert list of tuples to MultiIndex.
from_product
(arrays[, names])Make a MultiIndex from the cartesian product of multiple iterables.
from_frame
(df[, names])Make a MultiIndex from a DataFrame.
to_frame
([index, name, allow_duplicates])Create a DataFrame with the levels of the MultiIndex as columns.
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
to_flat_index
sortlevel
reorder_levels
remove_unused_levels
drop