xarray.indexes.PandasIndex

class xarray.indexes.PandasIndex(array, dim, coord_dtype=None, *, fastpath=False)

Wrap a pandas.Index as an xarray compatible index.

__init__(array, dim, coord_dtype=None, *, fastpath=False)

Methods

__init__(array, dim[, coord_dtype, fastpath])
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.
isel(indexers)	Maybe returns a new index from the current index itself indexed by positional indexers.
join(other[, how])	Return a new index from the combination of this index with another index of the same type.
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.
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 or not an index coordinate variable should be added to a new DataArray.
stack(variables, dim)	Create a new index by stacking coordinate variables into a single new dimension.
to_pandas_index()	Cast this xarray index to a pandas.Index object or raise a TypeError if this is not supported.
unstack()	Unstack a (multi-)index into multiple (single) indexes.

Attributes

coord_dtype
dim
index