# xarray.indexes.PandasMultiIndex

### *class* xarray.indexes.PandasMultiIndex(array, dim, level_coords_dtype=None)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/indexes.py#L1051-L1536)

Wrap a pandas.MultiIndex as an xarray compatible index.

#### \_\_init_\_(array, dim, level_coords_dtype=None)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/indexes.py#L1061-L1081)

### Methods

| [`__init__`](#xarray.indexes.PandasMultiIndex.__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` |    |