# xarray.IndexVariable.isel

#### IndexVariable.isel(indexers=None, missing_dims='raise', \*\*indexers_kwargs)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/variable.py#L1331-L1364)

Return a new array indexed along the specified dimension(s).

* **Parameters:**
  * **\*\*indexers** (`{dim: indexer, ...}`) – Keyword arguments with names matching dimensions and values given
    by integers, slice objects or arrays.
  * **missing_dims** (`{"raise", "warn", "ignore"}`, *default*: `"raise"`) – What to do if dimensions that should be selected from are not present in the
    DataArray:
    - “raise”: raise an exception
    - “warn”: raise a warning, and ignore the missing dimensions
    - “ignore”: ignore the missing dimensions
* **Returns:**
  **obj** (`Array object`) – A new Array with the selected data and dimensions. In general,
  the new variable’s data will be a view of this variable’s data,
  unless numpy fancy indexing was triggered by using an array
  indexer, in which case the data will be a copy.