# xarray.Index.isel

#### Index.isel(indexers)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/indexes.py#L261-L290)

Maybe returns a new index from the current index itself indexed by
positional indexers.

This method should be re-implemented in subclasses of Index if the
wrapped index structure supports indexing operations. For example,
indexing a `pandas.Index` is pretty straightforward as it behaves very
much like an array. By contrast, it may be harder doing so for a
structure like a kd-tree that differs much from a simple array.

If not re-implemented in subclasses of Index, this method returns
`None`, i.e., calling [`Dataset.isel()`](xarray.Dataset.isel.html.md#xarray.Dataset.isel) will either drop the
index in the resulting dataset or pass it unchanged if its corresponding
coordinate(s) are not indexed.

* **Parameters:**
  **indexers** ([`dict`](https://docs.python.org/3/builtins/stdtypes.html#dict)) – A dictionary of positional indexers as passed from
  [`Dataset.isel()`](xarray.Dataset.isel.html.md#xarray.Dataset.isel) and where the entries have been filtered
  for the current index.
* **Returns:**
  **maybe_index** ([`Index`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Index.html#pandas.Index)) – A new Index object or `None`.