Metadata-Version: 2.1
Name: open-geodata
Version: 22.3.8
Summary: Dados Espaciais do Brasil
Home-page: https://github.com/open-geodata/open-geodata
Author: Michel Metran
Author-email: michelmetran@gmail.com
License: UNKNOWN
Keywords: python,endereço aleatório,address
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: Portuguese
Classifier: Intended Audience :: Developers
Requires-Python: >=3
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: setuptools (>=58.2.0)
Requires-Dist: geopandas (>=0.10.2)
Requires-Dist: folium (~=0.12.1.post1)
Requires-Dist: incremental (~=21.3.0)

# Open Geodata

[![Publish Python 🐍 distributions 📦 to PyPI](https://github.com/open-geodata/open-geodata/actions/workflows/publish-to-pypi.yml/badge.svg)](https://github.com/open-geodata/open-geodata/actions/workflows/publish-to-pypi.yml)
<br>
[![Publish Python 🐍 distributions 📦 to TestPyPI](https://github.com/open-geodata/open-geodata/actions/workflows/publish-to-test-pypi.yml/badge.svg)](https://github.com/open-geodata/open-geodata/actions/workflows/publish-to-test-pypi.yml)

<br>

Pacote para disponibilizar dados espaciais!
<br>
Todos os datasets estão com *datum* WGS84 (EPSG: 4326).

<br>

---

### Instalar

```python
pip3 install open-geodata --upgrade
```

<br>

---

### Como Usar?

```python
from open_geodata import geo


# List geodataframes
geo.get_dataset_names()

# Load geodataframe
geo.load_dataset('sp_250k_wgs84.geojson')
```

<br>

---

### *Datasets*

**sp_250k**
<br>
Limites administrativos municipais do Estado de São Paulo. 

<br>

---

### *TODO*

1. https://github.com/twisted/incremental



