xarray.indexes.PandasMultiIndex

class xarray.indexes.PandasMultiIndex(array, dim, level_coords_dtype=None)

Wrap a pandas.MultiIndex as an xarray compatible index.

__init__(array, dim, level_coords_dtype=None)

Methods

__init__(array, dim[, level_coords_dtype])
concat(indexes, dim[, positions])	Create a new index by concatenating one or more indexes of the same type.
copy([deep])	Return a (deep) copy of this index.
create_variables([variables])	Maybe create new coordinate variables from this index.
equals(other, *[, exclude])	Compare this index with another index of the same type.
from_variables(variables, *, options)	Create a new index object from one or more coordinate variables.
from_variables_maybe_expand(dim, ...)	Create a new multi-index, maybe by expanding an existing one.
isel(indexers)	Maybe return a new index from this index indexed by positional indexers.
join(other[, how])	Return a new index by combining this index with another of the same type.
keep_levels(level_variables)	Keep only the provided levels.
reindex_like(other[, method, tolerance])	Query the index with another index of the same type.
rename(name_dict, dims_dict)	Maybe update the index with new coordinate and dimension names.
reorder_levels(level_variables)	Re-arrange index levels using input order.
roll(shifts)	Roll this index by an offset along one or more dimensions.
sel(labels[, method, tolerance])	Query the index with arbitrary coordinate label indexers.
should_add_coord_to_array(name, var, dims)	Define whether an index coordinate variable should be added to a DataArray.
stack(variables, dim)	Create a new Pandas MultiIndex from the product of 1-d variables (levels).
to_pandas_index()	Cast this xarray index to a pandas.Index object.
unstack()	Unstack a (multi-)index into multiple (single) indexes.

Attributes

coord_dtype
dim
index
level_coords_dtype