# xarray.DataArray.argmin
#### DataArray.argmin(dim=None, , axis=None, keep_attrs=None, skipna=None)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/dataarray.py#L6436-L6535)
Index or indices of the minimum of the DataArray over one or more dimensions.
If a sequence is passed to ‘dim’, then result returned as dict of DataArrays,
which can be passed directly to isel(). If a single str is passed to ‘dim’ then
returns a DataArray with dtype int.
If there are multiple minima, the indices of the first one found will be
returned.
* **Parameters:**
* **dim** (`"..."`, [`str`](xarray.DataArray.str.html.md#xarray.DataArray.str), `Iterable` of `Hashable` or [`None`](https://docs.python.org/3/builtins/constants.html#None), *optional*) – The dimensions over which to find the minimum. By default, finds minimum over
all dimensions - for now returning an int for backward compatibility, but
this is deprecated, in future will return a dict with indices for all
dimensions; to return a dict with all dimensions now, pass ‘…’.
* **axis** ([`int`](https://docs.python.org/3/builtins/functions.html#int) or [`None`](https://docs.python.org/3/builtins/constants.html#None), *optional*) – Axis over which to apply argmin. Only one of the ‘dim’ and ‘axis’ arguments
can be supplied.
* **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, the attributes (attrs) will be copied from the original
object to the new one. If False, the new object will be
returned without attributes.
* **skipna** ([`bool`](https://docs.python.org/3/builtins/functions.html#bool) or [`None`](https://docs.python.org/3/builtins/constants.html#None), *optional*) – If True, skip missing values (as marked by NaN). By default, only
skips missing values for float dtypes; other dtypes either do not
have a sentinel missing value (int) or skipna=True has not been
implemented (object, datetime64 or timedelta64).
* **Returns:**
**result** ([`DataArray`](xarray.DataArray.html.md#xarray.DataArray) or [`dict`](https://docs.python.org/3/builtins/stdtypes.html#dict) of [`DataArray`](xarray.DataArray.html.md#xarray.DataArray))
#### SEE ALSO
[`Variable.argmin`](xarray.Variable.argmin.html.md#xarray.Variable.argmin), [`DataArray.idxmin`](xarray.DataArray.idxmin.html.md#xarray.DataArray.idxmin)
### Examples
```pycon
>>> array = xr.DataArray([0, 2, -1, 3], dims="x")
>>> array.min()
Size: 8B
array(-1)
>>> array.argmin(...)
{'x': Size: 8B
array(2)}
>>> array.isel(array.argmin(...))
Size: 8B
array(-1)
```
```pycon
>>> array = xr.DataArray(
... [[[3, 2, 1], [3, 1, 2], [2, 1, 3]], [[1, 3, 2], [2, -5, 1], [2, 3, 1]]],
... dims=("x", "y", "z"),
... )
>>> array.min(dim="x")
Size: 72B
array([[ 1, 2, 1],
[ 2, -5, 1],
[ 2, 1, 1]])
Dimensions without coordinates: y, z
>>> array.argmin(dim="x")
Size: 72B
array([[1, 0, 0],
[1, 1, 1],
[0, 0, 1]])
Dimensions without coordinates: y, z
>>> array.argmin(dim=["x"])
{'x': Size: 72B
array([[1, 0, 0],
[1, 1, 1],
[0, 0, 1]])
Dimensions without coordinates: y, z}
>>> array.min(dim=("x", "z"))
Size: 24B
array([ 1, -5, 1])
Dimensions without coordinates: y
>>> array.argmin(dim=["x", "z"])
{'x': Size: 24B
array([0, 1, 0])
Dimensions without coordinates: y, 'z': Size: 24B
array([2, 1, 1])
Dimensions without coordinates: y}
>>> array.isel(array.argmin(dim=["x", "z"]))
Size: 24B
array([ 1, -5, 1])
Dimensions without coordinates: y
```