# xarray.DataTree.all

#### DataTree.all(dim=None, , keep_attrs=None, \*\*kwargs)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/_aggregations.py#L117-L199)

Reduce this DataTree’s data by applying `all` along some dimension(s).

* **Parameters:**
  * **dim** ([`str`](https://docs.python.org/3/builtins/stdtypes.html#str), `Iterable` of `Hashable`, `"..."` or [`None`](https://docs.python.org/3/builtins/constants.html#None), *default*: [`None`](https://docs.python.org/3/builtins/constants.html#None)) – Name of dimension[s] along which to apply `all`. For e.g. `dim="x"`
    or `dim=["x", "y"]`. If “…” or None, will reduce over all dimensions.
  * **keep_attrs** ([`bool`](https://docs.python.org/3/builtins/functions.html#bool) or [`None`](https://docs.python.org/3/builtins/constants.html#None), *optional*) – If True, `attrs` will be copied from the original
    object to the new one.  If False, the new object will be
    returned without attributes.
  * **\*\*kwargs** (`Any`) – Additional keyword arguments passed on to the appropriate array
    function for calculating `all` on this object’s data.
    These could include dask-specific kwargs like `split_every`.
* **Returns:**
  **reduced** ([`DataTree`](xarray.DataTree.html.md#xarray.DataTree)) – New DataTree with `all` applied to its data and the
  indicated dimension(s) removed

#### SEE ALSO
[`numpy.all`](https://numpy.org/doc/stable/reference/generated/numpy.all.html#numpy.all), [`dask.array.all`](https://docs.dask.org/en/latest/generated/dask.array.all.html#dask.array.all), [`Dataset.all`](xarray.Dataset.all.html.md#xarray.Dataset.all), [`DataArray.all`](xarray.DataArray.all.html.md#xarray.DataArray.all)

[Aggregation](../user-guide/computation.html.md#agg)
: User guide on reduction or aggregation operations.

### Examples

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```pycon
>>> dt = xr.DataTree(
...     xr.Dataset(
...         data_vars=dict(
...             foo=(
...                 "time",
...                 np.array([True, True, True, True, True, False], dtype=bool),
...             )
...         ),
...         coords=dict(
...             time=(
...                 "time",
...                 pd.date_range("2001-01-01", freq="ME", periods=6),
...             ),
...             labels=("time", np.array(["a", "b", "c", "c", "b", "a"])),
...         ),
...     ),
... )
>>> dt
<xarray.DataTree>
Group: /
    Dimensions:  (time: 6)
    Coordinates:
      * time     (time) datetime64[us] 48B 2001-01-31 2001-02-28 ... 2001-06-30
        labels   (time) <U1 24B 'a' 'b' 'c' 'c' 'b' 'a'
    Data variables:
        foo      (time) bool 6B True True True True True False
```

```pycon
>>> dt.all()
<xarray.DataTree>
Group: /
    Dimensions:  ()
    Data variables:
        foo      bool 1B False
```

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