xarray.indexes.PandasIndex#

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

Wrap a pandas.Index as an xarray compatible index.

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