[](https://github.com/gb-libs/pydantic-geojson/actions?query=workflow%3A%22Python+package%22)
[](https://pypi.org/project/pydantic-geojson/)
[](https://codecov.io/gh/gb-libs/pydantic-geojson)
[](https://pepy.tech/project/pydantic-geojson)
pydantic-geojson 🌍
===================
| GeoJSON Objects | Status |
|--------------------|--------|
| Point | ✅ |
| MultiPoint | ✅ |
| LineString | ✅ |
| MultiLineString | ✅ |
| Polygon | ✅ |
| MultiPolygon | ✅ |
| GeometryCollection | ✅ |
| Feature | ✅ |
| FeatureCollection | ✅ |
Installation
------------
pydantic-geojson is compatible with Python 3.7 and up.
The recommended way to install is via [poetry](https://python-poetry.org/):
```
poetry add pydantic_geojson
```
Using pip to install is also possible.
```
pip install pydantic_geojson
```
GEOJSON
-------
[GeoJSON](https://geojson.org/) is a format for encoding a variety of geographic data structures.
```
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [125.6, 10.1]
},
"properties": {
"name": "Dinagat Islands"
}
}
```
GeoJSON supports the following geometry types: Point, LineString, Polygon,
MultiPoint, MultiLineString, and MultiPolygon. Geometric objects with
additional properties are Feature objects. Sets of features are contained by
FeatureCollection objects.
Examples of using
-----------------
Custom properties:
```
from pydantic import BaseModel
from pydantic_geojson import FeatureModel
class MyPropertiesModel(BaseModel):
name: str
class MyFeatureModel(FeatureModel):
properties: MyPropertiesModel
data = {
"type": "Feature",
"properties": {
"name": "foo name",
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[-80.724878, 35.265454],
[-80.722646, 35.260338]
]
]
}
}
>>> MyFeatureModel(**data)
>>> type='Feature' geometry=PolygonModel(type='Polygon', coordinates=[[Coordinates(lon=-80.724878, lat=35.265454), Coordinates(lon=-80.722646, lat=35.260338)]]) properties=MyPropertiesModel(name='foo name')
```
Point
-----
Simple example data:
```
from pydantic_geojson import PointModel
data = {
"type": "Point",
"coordinates": [-105.01621, 39.57422]
}
>>> PointModel(**data)
>>> type='Point' coordinates=Coordinates(lon=-105.01621, lat=39.57422)
```
MultiPoint
----------
Simple example data:
```
from pydantic_geojson import MultiPointModel
data = {
"type": "MultiPoint",
"coordinates": [
[-105.01621, 39.57422],
[-80.666513, 35.053994]
]
}
>>> PointModel(**data)
>>> type='MultiPoint' coordinates=[Coordinates(lon=-105.01621, lat=39.57422), Coordinates(lon=-80.666513, lat=35.053994)]
```
LineString
----------
Simple example data:
```
from pydantic_geojson import LineStringModel
data = {
"type": "LineString",
"coordinates": [
[-99.113159, 38.869651],
[-99.0802, 38.85682],
[-98.822021, 38.85682],
[-98.448486, 38.848264]
]
}
>>> LineStringModel(**data)
>>> type='LineString' coordinates=[Coordinates(lon=-99.113159, lat=38.869651), Coordinates(lon=-99.0802, lat=38.85682), Coordinates(lon=-98.822021, lat=38.85682), Coordinates(lon=-98.448486, lat=38.848264)]
```
MultiLineString
---------------
Simple example data:
```
from pydantic_geojson import MultiLineStringModel
data = {
"type": "MultiLineString",
"coordinates": [
[
[-105.019898, 39.574997],
[-105.019598, 39.574898],
[-105.019061, 39.574782]
],
[
[-105.017173, 39.574402],
[-105.01698, 39.574385],
[-105.016636, 39.574385],
[-105.016508, 39.574402],
[-105.01595, 39.57427]
],
[
[-105.014276, 39.573972],
[-105.014126, 39.574038],
[-105.013825, 39.57417],
[-105.01331, 39.574452]
]
]
}
>>> MultiLineStringModel(**data)
>>> type='MultiLineString' coordinates=[[Coordinates(lon=-105.019898, lat=39.574997), Coordinates(lon=-105.019598, lat=39.574898), Coordinates(lon=-105.019061, lat=39.574782)], [Coordinates(lon=-105.017173, lat=39.574402), Coordinates(lon=-105.01698, lat=39.574385), Coordinates(lon=-105.016636, lat=39.574385), Coordinates(lon=-105.016508, lat=39.574402), Coordinates(lon=-105.01595, lat=39.57427)], [Coordinates(lon=-105.014276, lat=39.573972), Coordinates(lon=-105.014126, lat=39.574038), Coordinates(lon=-105.013825, lat=39.57417), Coordinates(lon=-105.01331, lat=39.574452)]]
```
Polygon
-------
Simple example data:
```
from pydantic_geojson import PolygonModel
data = {
"type": "Polygon",
"coordinates": [
[
[100, 0],
[101, 0],
[101, 1],
[100, 1],
[100, 0]
]
]
}
>>> PolygonModel(**data)
>>> type='Polygon' coordinates=[[Coordinates(lon=100.0, lat=0.0), Coordinates(lon=101.0, lat=0.0), Coordinates(lon=101.0, lat=1.0), Coordinates(lon=100.0, lat=1.0), Coordinates(lon=100.0, lat=0.0)]]
```
MultiPolygon
------------
Simple example data:
```
from pydantic_geojson import MultiPolygonModel
data = {
"type": "MultiPolygon",
"coordinates": [
[
[
[107, 7],
[108, 7],
[108, 8],
[107, 8],
[107, 7]
]
],
[
[
[100, 0],
[101, 0],
[101, 1],
[100, 1],
[100, 0]
]
]
]
}
>>> MultiPolygonModel(**data)
>>> type='MultiPolygon' coordinates=[[[Coordinates(lon=107.0, lat=7.0), Coordinates(lon=108.0, lat=7.0), Coordinates(lon=108.0, lat=8.0), Coordinates(lon=107.0, lat=8.0), Coordinates(lon=107.0, lat=7.0)]], [[Coordinates(lon=100.0, lat=0.0), Coordinates(lon=101.0, lat=0.0), Coordinates(lon=101.0, lat=1.0), Coordinates(lon=100.0, lat=1.0), Coordinates(lon=100.0, lat=0.0)]]]
```
GeometryCollection
------------------
Simple example data:
```
from pydantic_geojson import GeometryCollectionModel
data = {
"type": "GeometryCollection",
"geometries": [
{
"type": "Point",
"coordinates": [-80.660805, 35.049392]
},
{
"type": "Polygon",
"coordinates": [
[
[-80.664582, 35.044965],
[-80.663874, 35.04428],
[-80.662586, 35.04558],
[-80.663444, 35.046036],
[-80.664582, 35.044965]
]
]
},
{
"type": "LineString",
"coordinates": [
[-80.662372, 35.059509],
[-80.662693, 35.059263],
[-80.662844, 35.05893]
]
}
]
}
>>> GeometryCollectionModel(**data)
>>> type='GeometryCollection' geometries=[PointModel(type='Point', coordinates=Coordinates(lon=-80.660805, lat=35.049392)), PolygonModel(type='Polygon', coordinates=[[Coordinates(lon=-80.664582, lat=35.044965), Coordinates(lon=-80.663874, lat=35.04428), Coordinates(lon=-80.662586, lat=35.04558), Coordinates(lon=-80.663444, lat=35.046036), Coordinates(lon=-80.664582, lat=35.044965)]]), LineStringModel(type='LineString', coordinates=[Coordinates(lon=-80.662372, lat=35.059509), Coordinates(lon=-80.662693, lat=35.059263), Coordinates(lon=-80.662844, lat=35.05893)])]
```
Feature
-------
Simple example data:
```
from pydantic_geojson import FeatureModel
data = {
"type": "Feature",
"properties":{
"a_property": "a_value"
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[-80.724878, 35.265454],
[-80.722646, 35.260338],
[-80.720329, 35.260618],
[-80.71681, 35.255361],
[-80.704793, 35.268397],
[-82.715179, 35.267696],
[-80.721359, 35.267276],
[-80.724878, 35.265454]
]
]
}
}
>>> FeatureModel(**data)
>>> type='Feature' geometry=PolygonModel(type='Polygon', coordinates=[[Coordinates(lon=-80.724878, lat=35.265454), Coordinates(lon=-80.722646, lat=35.260338), Coordinates(lon=-80.720329, lat=35.260618), Coordinates(lon=-80.71681, lat=35.255361), Coordinates(lon=-80.704793, lat=35.268397), Coordinates(lon=-82.715179, lat=35.267696), Coordinates(lon=-80.721359, lat=35.267276), Coordinates(lon=-80.724878, lat=35.265454)]])
```
FeatureCollection
-----------------
Simple example data:
```
from pydantic_geojson import FeatureCollectionModel
data = {
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [-80.870885, 35.215151]
}
},
{
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[-80.724878, 35.265454],
[-80.722646, 35.260338],
[-80.720329, 35.260618],
[-80.704793, 35.268397],
[-80.724878, 35.265454]
]
]
}
}
]
}
>>> FeatureCollectionModel(**data)
>>> type='FeatureCollection' features=[FeatureModel(type='Feature', geometry=PointModel(type='Point', coordinates=Coordinates(lon=-80.870885, lat=35.215151))), FeatureModel(type='Feature', geometry=PolygonModel(type='Polygon', coordinates=[[Coordinates(lon=-80.724878, lat=35.265454), Coordinates(lon=-80.722646, lat=35.260338), Coordinates(lon=-80.720329, lat=35.260618), Coordinates(lon=-80.704793, lat=35.268397), Coordinates(lon=-80.724878, lat=35.265454)]]))]
```
Testing
------------
```bash
poetry run pytest
```
Raw data
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"description": "[](https://github.com/gb-libs/pydantic-geojson/actions?query=workflow%3A%22Python+package%22)\n[](https://pypi.org/project/pydantic-geojson/)\n[](https://codecov.io/gh/gb-libs/pydantic-geojson)\n[](https://pepy.tech/project/pydantic-geojson)\n\npydantic-geojson \ud83c\udf0d\n===================\n\n\n| GeoJSON Objects | Status |\n|--------------------|--------|\n| Point | \u2705 |\n| MultiPoint | \u2705 |\n| LineString | \u2705 |\n| MultiLineString | \u2705 |\n| Polygon | \u2705 |\n| MultiPolygon | \u2705 |\n| GeometryCollection | \u2705 |\n| Feature | \u2705 |\n| FeatureCollection | \u2705 |\n\nInstallation\n------------\n\npydantic-geojson is compatible with Python 3.7 and up.\nThe recommended way to install is via [poetry](https://python-poetry.org/):\n\n```\npoetry add pydantic_geojson\n```\n\nUsing pip to install is also possible.\n\n```\npip install pydantic_geojson\n```\n\nGEOJSON\n-------\n\n[GeoJSON](https://geojson.org/) is a format for encoding a variety of geographic data structures.\n\n```\n{\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"Point\",\n \"coordinates\": [125.6, 10.1]\n },\n \"properties\": {\n \"name\": \"Dinagat Islands\"\n }\n}\n```\n\nGeoJSON supports the following geometry types: Point, LineString, Polygon,\nMultiPoint, MultiLineString, and MultiPolygon. Geometric objects with\nadditional properties are Feature objects. Sets of features are contained by\nFeatureCollection objects.\n\nExamples of using\n-----------------\n\nCustom properties:\n\n```\nfrom pydantic import BaseModel\nfrom pydantic_geojson import FeatureModel\n\n\nclass MyPropertiesModel(BaseModel):\n name: str\n\n\nclass MyFeatureModel(FeatureModel):\n properties: MyPropertiesModel\n\n\ndata = {\n \"type\": \"Feature\",\n \"properties\": {\n \"name\": \"foo name\",\n },\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [-80.724878, 35.265454],\n [-80.722646, 35.260338]\n ]\n ]\n }\n}\n\n>>> MyFeatureModel(**data)\n>>> type='Feature' geometry=PolygonModel(type='Polygon', coordinates=[[Coordinates(lon=-80.724878, lat=35.265454), Coordinates(lon=-80.722646, lat=35.260338)]]) properties=MyPropertiesModel(name='foo name')\n```\n\nPoint\n-----\n\nSimple example data:\n\n```\nfrom pydantic_geojson import PointModel\n\ndata = {\n \"type\": \"Point\",\n \"coordinates\": [-105.01621, 39.57422]\n}\n\n>>> PointModel(**data)\n>>> type='Point' coordinates=Coordinates(lon=-105.01621, lat=39.57422)\n```\n\nMultiPoint\n----------\n\nSimple example data:\n\n```\nfrom pydantic_geojson import MultiPointModel\n\ndata = {\n \"type\": \"MultiPoint\",\n \"coordinates\": [\n [-105.01621, 39.57422],\n [-80.666513, 35.053994]\n ]\n}\n\n>>> PointModel(**data)\n>>> type='MultiPoint' coordinates=[Coordinates(lon=-105.01621, lat=39.57422), Coordinates(lon=-80.666513, lat=35.053994)]\n```\n\nLineString\n----------\n\nSimple example data:\n\n```\nfrom pydantic_geojson import LineStringModel\n\ndata = {\n \"type\": \"LineString\",\n \"coordinates\": [\n [-99.113159, 38.869651],\n [-99.0802, 38.85682],\n [-98.822021, 38.85682],\n [-98.448486, 38.848264]\n ]\n}\n\n>>> LineStringModel(**data)\n>>> type='LineString' coordinates=[Coordinates(lon=-99.113159, lat=38.869651), Coordinates(lon=-99.0802, lat=38.85682), Coordinates(lon=-98.822021, lat=38.85682), Coordinates(lon=-98.448486, lat=38.848264)]\n```\n\nMultiLineString\n---------------\n\nSimple example data:\n\n```\nfrom pydantic_geojson import MultiLineStringModel\n\ndata = {\n \"type\": \"MultiLineString\",\n \"coordinates\": [\n [\n [-105.019898, 39.574997],\n [-105.019598, 39.574898],\n [-105.019061, 39.574782]\n ],\n [\n [-105.017173, 39.574402],\n [-105.01698, 39.574385],\n [-105.016636, 39.574385],\n [-105.016508, 39.574402],\n [-105.01595, 39.57427]\n ],\n [\n [-105.014276, 39.573972],\n [-105.014126, 39.574038],\n [-105.013825, 39.57417],\n [-105.01331, 39.574452]\n ]\n ]\n}\n\n>>> MultiLineStringModel(**data)\n>>> type='MultiLineString' coordinates=[[Coordinates(lon=-105.019898, lat=39.574997), Coordinates(lon=-105.019598, lat=39.574898), Coordinates(lon=-105.019061, lat=39.574782)], [Coordinates(lon=-105.017173, lat=39.574402), Coordinates(lon=-105.01698, lat=39.574385), Coordinates(lon=-105.016636, lat=39.574385), Coordinates(lon=-105.016508, lat=39.574402), Coordinates(lon=-105.01595, lat=39.57427)], [Coordinates(lon=-105.014276, lat=39.573972), Coordinates(lon=-105.014126, lat=39.574038), Coordinates(lon=-105.013825, lat=39.57417), Coordinates(lon=-105.01331, lat=39.574452)]]\n```\n\nPolygon\n-------\n\nSimple example data:\n\n```\nfrom pydantic_geojson import PolygonModel\n\ndata = {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [100, 0],\n [101, 0],\n [101, 1],\n [100, 1],\n [100, 0]\n ]\n ]\n}\n\n>>> PolygonModel(**data)\n>>> type='Polygon' coordinates=[[Coordinates(lon=100.0, lat=0.0), Coordinates(lon=101.0, lat=0.0), Coordinates(lon=101.0, lat=1.0), Coordinates(lon=100.0, lat=1.0), Coordinates(lon=100.0, lat=0.0)]]\n```\n\nMultiPolygon\n------------\n\nSimple example data:\n\n```\nfrom pydantic_geojson import MultiPolygonModel\n\ndata = {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [107, 7],\n [108, 7],\n [108, 8],\n [107, 8],\n [107, 7]\n ]\n ],\n [\n [\n [100, 0],\n [101, 0],\n [101, 1],\n [100, 1],\n [100, 0]\n ]\n ]\n ]\n}\n\n>>> MultiPolygonModel(**data)\n>>> type='MultiPolygon' coordinates=[[[Coordinates(lon=107.0, lat=7.0), Coordinates(lon=108.0, lat=7.0), Coordinates(lon=108.0, lat=8.0), Coordinates(lon=107.0, lat=8.0), Coordinates(lon=107.0, lat=7.0)]], [[Coordinates(lon=100.0, lat=0.0), Coordinates(lon=101.0, lat=0.0), Coordinates(lon=101.0, lat=1.0), Coordinates(lon=100.0, lat=1.0), Coordinates(lon=100.0, lat=0.0)]]]\n```\n\nGeometryCollection\n------------------\n\nSimple example data:\n\n```\nfrom pydantic_geojson import GeometryCollectionModel\n\ndata = {\n \"type\": \"GeometryCollection\",\n \"geometries\": [\n {\n \"type\": \"Point\",\n \"coordinates\": [-80.660805, 35.049392]\n },\n {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [-80.664582, 35.044965],\n [-80.663874, 35.04428],\n [-80.662586, 35.04558],\n [-80.663444, 35.046036],\n [-80.664582, 35.044965]\n ]\n ]\n },\n {\n \"type\": \"LineString\",\n \"coordinates\": [\n [-80.662372, 35.059509],\n [-80.662693, 35.059263],\n [-80.662844, 35.05893]\n ]\n }\n ]\n}\n\n>>> GeometryCollectionModel(**data)\n>>> type='GeometryCollection' geometries=[PointModel(type='Point', coordinates=Coordinates(lon=-80.660805, lat=35.049392)), PolygonModel(type='Polygon', coordinates=[[Coordinates(lon=-80.664582, lat=35.044965), Coordinates(lon=-80.663874, lat=35.04428), Coordinates(lon=-80.662586, lat=35.04558), Coordinates(lon=-80.663444, lat=35.046036), Coordinates(lon=-80.664582, lat=35.044965)]]), LineStringModel(type='LineString', coordinates=[Coordinates(lon=-80.662372, lat=35.059509), Coordinates(lon=-80.662693, lat=35.059263), Coordinates(lon=-80.662844, lat=35.05893)])]\n```\n\nFeature\n-------\n\nSimple example data:\n\n```\nfrom pydantic_geojson import FeatureModel\n\ndata = {\n \"type\": \"Feature\",\n \"properties\":{\n \"a_property\": \"a_value\"\n },\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [-80.724878, 35.265454],\n [-80.722646, 35.260338],\n [-80.720329, 35.260618],\n [-80.71681, 35.255361],\n [-80.704793, 35.268397],\n [-82.715179, 35.267696],\n [-80.721359, 35.267276],\n [-80.724878, 35.265454]\n ]\n ]\n }\n}\n\n>>> FeatureModel(**data)\n>>> type='Feature' geometry=PolygonModel(type='Polygon', coordinates=[[Coordinates(lon=-80.724878, lat=35.265454), Coordinates(lon=-80.722646, lat=35.260338), Coordinates(lon=-80.720329, lat=35.260618), Coordinates(lon=-80.71681, lat=35.255361), Coordinates(lon=-80.704793, lat=35.268397), Coordinates(lon=-82.715179, lat=35.267696), Coordinates(lon=-80.721359, lat=35.267276), Coordinates(lon=-80.724878, lat=35.265454)]])\n\n```\n\nFeatureCollection\n-----------------\n\nSimple example data:\n\n```\nfrom pydantic_geojson import FeatureCollectionModel\n\ndata = {\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"Point\",\n \"coordinates\": [-80.870885, 35.215151]\n }\n },\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [-80.724878, 35.265454],\n [-80.722646, 35.260338],\n [-80.720329, 35.260618],\n [-80.704793, 35.268397],\n [-80.724878, 35.265454]\n ]\n ]\n }\n }\n ]\n}\n\n>>> FeatureCollectionModel(**data)\n>>> type='FeatureCollection' features=[FeatureModel(type='Feature', geometry=PointModel(type='Point', coordinates=Coordinates(lon=-80.870885, lat=35.215151))), FeatureModel(type='Feature', geometry=PolygonModel(type='Polygon', coordinates=[[Coordinates(lon=-80.724878, lat=35.265454), Coordinates(lon=-80.722646, lat=35.260338), Coordinates(lon=-80.720329, lat=35.260618), Coordinates(lon=-80.704793, lat=35.268397), Coordinates(lon=-80.724878, lat=35.265454)]]))]\n\n```\n\nTesting\n------------\n\n```bash\npoetry run pytest\n```\n",
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