xarray.indexes.CoordinateTransformIndex

class xarray.indexes.CoordinateTransformIndex(transform)

Helper class for creating Xarray indexes based on coordinate transforms.

• wraps a CoordinateTransform instance

• takes care of creating the index (lazy) coordinates

• supports point-wise label-based selection

• supports exact alignment only, by comparing indexes based on their transform (not on their explicit coordinate labels)

Caution

This API is experimental and subject to change. Please report any bugs or surprising behaviour you encounter.

__init__(transform)

Methods

__init__(transform)
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)	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

transform