# xarray.DataArray.thin

#### DataArray.thin(indexers=None, \*\*indexers_kwargs)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/dataarray.py#L1947-L1994)

Return a new DataArray with each n-th value along the given dimension(s).

#### SEE ALSO
[`Dataset.thin`](xarray.Dataset.thin.html.md#xarray.Dataset.thin), [`DataArray.head`](xarray.DataArray.head.html.md#xarray.DataArray.head), [`DataArray.tail`](xarray.DataArray.tail.html.md#xarray.DataArray.tail)

### Examples

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```pycon
>>> x_arr = np.arange(0, 26)
>>> x_arr
array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,
       17, 18, 19, 20, 21, 22, 23, 24, 25])
>>> x = xr.DataArray(
...     np.reshape(x_arr, (2, 13)),
...     dims=("x", "y"),
...     coords={"x": [0, 1], "y": np.arange(0, 13)},
... )
>>> x
<xarray.DataArray (x: 2, y: 13)> Size: 208B
array([[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12],
       [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25]])
Coordinates:
  * x        (x) int64 16B 0 1
  * y        (y) int64 104B 0 1 2 3 4 5 6 7 8 9 10 11 12
```

```pycon
>>>
>>> x.thin(3)
<xarray.DataArray (x: 1, y: 5)> Size: 40B
array([[ 0,  3,  6,  9, 12]])
Coordinates:
  * x        (x) int64 8B 0
  * y        (y) int64 40B 0 3 6 9 12
>>> x.thin({"x": 2, "y": 5})
<xarray.DataArray (x: 1, y: 3)> Size: 24B
array([[ 0,  5, 10]])
Coordinates:
  * x        (x) int64 8B 0
  * y        (y) int64 24B 0 5 10
```

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