> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wherobots.com/llms.txt
> Use this file to discover all available pages before exploring further.

# GeoDataFrame.distance

> Returns a Series containing the distance to aligned other.

Returns a `Series` containing the distance to aligned `other`.

The operation works on a 1-to-1 row-wise manner:

## Signature

```python theme={"system"}
distance(other, align=None)
```

## Parameters

<ParamField path="other" type="Geoseries or geometric object" required>
  The Geoseries (elementwise) or geometric object to find the
  distance to.
</ParamField>

<ParamField path="align" type="bool | None (default None)" default="None">
  If True, automatically aligns GeoSeries based on their indices. None defaults to True.
  If False, the order of elements is preserved.
</ParamField>

## Returns

<ResponseField name="return" type="Series(float)" />

## Examples

```python theme={"system"}
>>> from sedona.spark.geopandas import GeoSeries
>>> from shapely.geometry import Polygon, LineString, Point
>>> s = GeoSeries(
...     [
...         Polygon([(0, 0), (1, 0), (1, 1)]),
...         Polygon([(0, 0), (-1, 0), (-1, 1)]),
...         LineString([(1, 1), (0, 0)]),
...         Point(0, 0),
...     ],
... )
>>> s2 = GeoSeries(
...     [
...         Polygon([(0.5, 0.5), (1.5, 0.5), (1.5, 1.5), (0.5, 1.5)]),
...         Point(3, 1),
...         LineString([(1, 0), (2, 0)]),
...         Point(0, 1),
...     ],
...     index=range(1, 5),
... )
```

```python theme={"system"}
>>> s
0      POLYGON ((0 0, 1 0, 1 1, 0 0))
1    POLYGON ((0 0, -1 0, -1 1, 0 0))
2               LINESTRING (1 1, 0 0)
3                         POINT (0 0)
dtype: geometry
```

```python theme={"system"}
>>> s2
1    POLYGON ((0.5 0.5, 1.5 0.5, 1.5 1.5, 0.5 1.5, ...
2                                          POINT (3 1)
3                                LINESTRING (1 0, 2 0)
4                                          POINT (0 1)
dtype: geometry
```

We can check the distance of each geometry of GeoSeries to a single
geometry:

```python theme={"system"}
>>> point = Point(-1, 0)
>>> s.distance(point)
0    1.0
1    0.0
2    1.0
3    1.0
dtype: float64
```

We can also check two GeoSeries against each other, row by row.
The GeoSeries above have different indices. We can either align both GeoSeries
based on index values and use elements with the same index using
`align=True` or ignore index and use elements based on their matching
order using `align=False`:

```python theme={"system"}
>>> s.distance(s2, align=True)
0         NaN
1    0.707107
2    2.000000
3    1.000000
4         NaN
dtype: float64
```

```python theme={"system"}
>>> s.distance(s2, align=False)
0    0.000000
1    3.162278
2    0.707107
3    1.000000
dtype: float64
```


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