<img align="right" src="https://uber.github.io/img/h3Logo-color.svg" alt="H3 Logo" width="200">
# **h3-py**: Uber's H3 Hexagonal Hierarchical Geospatial Indexing System in Python
<!-- TODO: have a nice 3d image of hexagons up front -->
[](https://badge.fury.io/py/h3)
[](https://pypistats.org/packages/h3)
[](https://anaconda.org/conda-forge/h3-py)
[](https://github.com/uber/h3/releases/tag/v3.7.1)
[](https://github.com/uber/h3-py/blob/master/LICENSE)
[](https://github.com/uber/h3-py/actions)
[](https://codecov.io/gh/uber/h3-py)
Python bindings for the [H3 core library](https://h3geo.org/).
- Documentation: [uber.github.io/h3-py](https://uber.github.io/h3-py)
- GitHub repo: [github.com/uber/h3-py](https://github.com/uber/h3-py)
## Installation
From [PyPI](https://pypi.org/project/h3/):
```console
pip install h3
```
From [conda](https://github.com/conda-forge/h3-py-feedstock):
```console
conda config --add channels conda-forge
conda install h3-py
```
## Usage
```python
>>> import h3
>>> lat, lng = 37.769377, -122.388903
>>> resolution = 9
>>> h3.geo_to_h3(lat, lng, resolution)
'89283082e73ffff'
```
## APIs
[api_comparison]: https://uber.github.io/h3-py/api_comparison
[api_reference]: https://uber.github.io/h3-py/api_reference
We provide [multiple APIs][api_comparison] in `h3-py`.
- All APIs have the same set of functions;
see the [API reference][api_reference].
- The APIs differ only in their input/output formats;
see the [API comparison page][api_comparison].
## Example gallery
Browse [a collection of example notebooks](https://github.com/uber/h3-py-notebooks),
and if you have examples or visualizations of your own, please feel free
to contribute!
[walkthrough]: https://nbviewer.jupyter.org/github/uber/h3-py-notebooks/blob/master/notebooks/usage.ipynb
We also have an introductory [walkthrough of the API][walkthrough].
## Versioning
<!-- todo: this should just be the h3.versions() docstring, yeah? -->
`h3-py` wraps the [H3 core library](https://github.com/uber/h3),
which is written in C.
The C and Python projects each employ
[semantic versioning](https://semver.org/),
where versions take the form `X.Y.Z`.
The `h3-py` version string is guaranteed to match the C library string
in both *major* and *minor* numbers (`X.Y`), but may differ on the
*patch* (`Z`) number.
This convention provides users with information on breaking changes and
feature additions, while providing downstream bindings (like this one!)
with the versioning freedom to fix bugs.
Use `h3.versions()` to see the version numbers for both
`h3-py` and the C library. For example,
```python
>>> import h3
>>> h3.versions()
{'c': '3.6.3', 'python': '3.6.1'}
```
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"description": "<img align=\"right\" src=\"https://uber.github.io/img/h3Logo-color.svg\" alt=\"H3 Logo\" width=\"200\">\n\n# **h3-py**: Uber's H3 Hexagonal Hierarchical Geospatial Indexing System in Python\n\n<!-- TODO: have a nice 3d image of hexagons up front -->\n\n[](https://badge.fury.io/py/h3)\n[](https://pypistats.org/packages/h3)\n[](https://anaconda.org/conda-forge/h3-py)\n[](https://github.com/uber/h3/releases/tag/v3.7.1)\n[](https://github.com/uber/h3-py/blob/master/LICENSE)\n\n[](https://github.com/uber/h3-py/actions)\n[](https://codecov.io/gh/uber/h3-py)\n\nPython bindings for the [H3 core library](https://h3geo.org/).\n\n- Documentation: [uber.github.io/h3-py](https://uber.github.io/h3-py)\n- GitHub repo: [github.com/uber/h3-py](https://github.com/uber/h3-py)\n\n\n## Installation\n\nFrom [PyPI](https://pypi.org/project/h3/):\n\n```console\npip install h3\n```\n\nFrom [conda](https://github.com/conda-forge/h3-py-feedstock):\n\n```console\nconda config --add channels conda-forge\nconda install h3-py\n```\n\n\n## Usage\n\n```python\n>>> import h3\n>>> lat, lng = 37.769377, -122.388903\n>>> resolution = 9\n>>> h3.geo_to_h3(lat, lng, resolution)\n'89283082e73ffff'\n```\n\n\n## APIs\n\n[api_comparison]: https://uber.github.io/h3-py/api_comparison\n[api_reference]: https://uber.github.io/h3-py/api_reference\n\nWe provide [multiple APIs][api_comparison] in `h3-py`.\n\n- All APIs have the same set of functions;\n see the [API reference][api_reference].\n- The APIs differ only in their input/output formats;\n see the [API comparison page][api_comparison].\n\n\n## Example gallery\n\nBrowse [a collection of example notebooks](https://github.com/uber/h3-py-notebooks),\nand if you have examples or visualizations of your own, please feel free\nto contribute!\n\n[walkthrough]: https://nbviewer.jupyter.org/github/uber/h3-py-notebooks/blob/master/notebooks/usage.ipynb\n\nWe also have an introductory [walkthrough of the API][walkthrough].\n\n\n## Versioning\n\n<!-- todo: this should just be the h3.versions() docstring, yeah? -->\n\n`h3-py` wraps the [H3 core library](https://github.com/uber/h3),\nwhich is written in C.\nThe C and Python projects each employ\n[semantic versioning](https://semver.org/),\nwhere versions take the form `X.Y.Z`.\n\nThe `h3-py` version string is guaranteed to match the C library string\nin both *major* and *minor* numbers (`X.Y`), but may differ on the\n*patch* (`Z`) number.\nThis convention provides users with information on breaking changes and\nfeature additions, while providing downstream bindings (like this one!)\nwith the versioning freedom to fix bugs.\n\nUse `h3.versions()` to see the version numbers for both\n`h3-py` and the C library. For example,\n\n```python\n>>> import h3\n>>> h3.versions()\n{'c': '3.6.3', 'python': '3.6.1'}\n```\n",
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