# xarray.DataArray.drop_vars
#### DataArray.drop_vars(names, , errors='raise')[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/dataarray.py#L3307-L3381)
Returns an array with dropped variables.
* **Parameters:**
* **names** (`Hashable` or [iterable](https://docs.python.org/3/glossary.html#term-iterable) of `Hashable` or `Callable`) – Name(s) of variables to drop. If a Callable, this object is passed as its
only argument and its result is used.
* **errors** (`{"raise", "ignore"}`, *default*: `"raise"`) – If ‘raise’, raises a ValueError error if any of the variable
passed are not in the dataset. If ‘ignore’, any given names that are in the
DataArray are dropped and no error is raised.
* **Returns:**
**dropped** ([`Dataset`](xarray.Dataset.html.md#xarray.Dataset)) – New Dataset copied from self with variables removed.
### Examples
```pycon
>>> data = np.arange(12).reshape(4, 3)
>>> da = xr.DataArray(
... data=data,
... dims=["x", "y"],
... coords={"x": [10, 20, 30, 40], "y": [70, 80, 90]},
... )
>>> da
Size: 96B
array([[ 0, 1, 2],
[ 3, 4, 5],
[ 6, 7, 8],
[ 9, 10, 11]])
Coordinates:
* x (x) int64 32B 10 20 30 40
* y (y) int64 24B 70 80 90
```
Removing a single variable:
```pycon
>>> da.drop_vars("x")
Size: 96B
array([[ 0, 1, 2],
[ 3, 4, 5],
[ 6, 7, 8],
[ 9, 10, 11]])
Coordinates:
* y (y) int64 24B 70 80 90
Dimensions without coordinates: x
```
Removing a list of variables:
```pycon
>>> da.drop_vars(["x", "y"])
Size: 96B
array([[ 0, 1, 2],
[ 3, 4, 5],
[ 6, 7, 8],
[ 9, 10, 11]])
Dimensions without coordinates: x, y
```
```pycon
>>> da.drop_vars(lambda x: x.coords)
Size: 96B
array([[ 0, 1, 2],
[ 3, 4, 5],
[ 6, 7, 8],
[ 9, 10, 11]])
Dimensions without coordinates: x, y
```