# xarray.DataTree.sel

#### DataTree.sel(indexers=None, method=None, tolerance=None, drop=False, \*\*indexers_kwargs)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/datatree.py#L2392-L2470)

Returns a new data tree with each array indexed by tick labels
along the specified dimension(s).

In contrast to DataTree.isel, indexers for this method should use
labels instead of integers.

Under the hood, this method is powered by using pandas’s powerful Index
objects. This makes label based indexing essentially just as fast as
using integer indexing.

It also means this method uses pandas’s (well documented) logic for
indexing. This means you can use string shortcuts for datetime indexes
(e.g., ‘2000-01’ to select all values in January 2000). It also means
that slices are treated as inclusive of both the start and stop values,
unlike normal Python indexing.

* **Parameters:**
  * **indexers** ([`dict`](https://docs.python.org/3/builtins/stdtypes.html#dict), *optional*) – A dict with keys matching dimensions and values given
    by scalars, slices or arrays of tick labels. For dimensions with
    multi-index, the indexer may also be a dict-like object with keys
    matching index level names.
    If DataArrays are passed as indexers, xarray-style indexing will be
    carried out. See [Indexing and selecting data](../user-guide/indexing.html.md#indexing) for the details.
    One of indexers or indexers_kwargs must be provided.
  * **method** (`{None, "nearest", "pad", "ffill", "backfill", "bfill"}`, *optional*) – Method to use for inexact matches:
    * None (default): only exact matches
    * pad / ffill: propagate last valid index value forward
    * backfill / bfill: propagate next valid index value backward
    * nearest: use nearest valid index value
  * **tolerance** (**optional**) – Maximum distance between original and new labels for inexact
    matches. The values of the index at the matching locations must
    satisfy the equation `abs(index[indexer] - target) <= tolerance`.
  * **drop** ([`bool`](https://docs.python.org/3/builtins/functions.html#bool), *optional*) – If `drop=True`, drop coordinates variables in indexers instead
    of making them scalar.
  * **\*\*indexers_kwargs** (`{dim: indexer, ...}`, *optional*) – The keyword arguments form of `indexers`.
    One of indexers or indexers_kwargs must be provided.
* **Returns:**
  **obj** ([`DataTree`](xarray.DataTree.html.md#xarray.DataTree)) – A new DataTree with the same contents as this data tree, except each
  variable and dimension is indexed by the appropriate indexers.
  If indexer DataArrays have coordinates that do not conflict with
  this object, then these coordinates will be attached.
  In general, each array’s data will be a view of the array’s data
  in this dataset, unless vectorized indexing was triggered by using
  an array indexer, in which case the data will be a copy.

#### SEE ALSO
[`DataTree.isel`](xarray.DataTree.isel.html.md#xarray.DataTree.isel), [`Dataset.sel`](xarray.Dataset.sel.html.md#xarray.Dataset.sel)