| Name | ipyleaflet JSON |
| Version |
0.19.1
JSON |
| download |
| home_page | None |
| Summary | A Jupyter widget for dynamic Leaflet maps |
| upload_time | 2024-05-14 07:54:15 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | The MIT License (MIT) Copyright (c) 2014-2018, Project Jupyter Contributors Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
gis
graphics
ipython
jupyter
widgets
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# ipyleaflet
[](https://ipyleaflet.readthedocs.io/en/latest/?badge=latest)
[](https://mybinder.org/v2/gh/jupyter-widgets/ipyleaflet/stable?urlpath=lab%2Ftree%2Fexamples)
[](https://gitter.im/jupyter-widgets/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[](https://pepy.tech/project/ipyleaflet/month)
A Jupyter / Leaflet bridge enabling interactive maps in the Jupyter notebook.
## Usage
### Selecting a basemap for a leaflet map:
### Loading a geojson map:
### Making use of leafletjs primitives:
### Using the splitmap control:
### Displaying velocity data on the top of a map:
### Choropleth layer:
### Widget control
## Installation
Using conda:
```
conda install -c conda-forge ipyleaflet
```
Using pip:
```
pip install ipyleaflet
```
## Installation from sources
For a development installation (requires yarn, you can install it with `conda install -c conda-forge yarn`):
```
git clone https://github.com/jupyter-widgets/ipyleaflet.git
cd ipyleaflet
(cd python/jupyter_leaflet; pip install -e .)
(cd python/ipyleaflet; pip install -e .)
```
For developing with JupyterLab:
```
jupyter labextension develop --overwrite jupyter_leaflet
```
## Documentation
To get started with using `ipyleaflet`, check out the full documentation
https://ipyleaflet.readthedocs.io/
## License
We use a shared copyright model that enables all contributors to maintain the
copyright on their contributions.
This software is licensed under the MIT license. See the [LICENSE](LICENSE) file for details.
## Related projects
The `ipyleaflet` repository includes the `jupyter-leaflet` npm package, which
is a front-end component, and the `ipyleaflet` python package which is the
backend for the Python Jupyter kernel.
Similarly, the [`xleaflet`](https://github.com/jupyter-xeus/xleaflet/) project
provides a backend to `jupyter-leaflet` for the "xeus-cling" C++ Jupyter
kernel.
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"description": "# ipyleaflet\n\n[](https://ipyleaflet.readthedocs.io/en/latest/?badge=latest)\n[](https://mybinder.org/v2/gh/jupyter-widgets/ipyleaflet/stable?urlpath=lab%2Ftree%2Fexamples)\n[](https://gitter.im/jupyter-widgets/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n[](https://pepy.tech/project/ipyleaflet/month)\n\nA Jupyter / Leaflet bridge enabling interactive maps in the Jupyter notebook.\n\n## Usage\n\n### Selecting a basemap for a leaflet map:\n\n\n\n### Loading a geojson map:\n\n\n\n### Making use of leafletjs primitives:\n\n\n\n### Using the splitmap control:\n\n\n\n### Displaying velocity data on the top of a map:\n\n\n\n### Choropleth layer:\n\n\n\n### Widget control\n\n\n\n## Installation\n\nUsing conda:\n\n```\nconda install -c conda-forge ipyleaflet\n```\n\nUsing pip:\n\n```\npip install ipyleaflet\n```\n\n## Installation from sources\n\nFor a development installation (requires yarn, you can install it with `conda install -c conda-forge yarn`):\n\n```\ngit clone https://github.com/jupyter-widgets/ipyleaflet.git\ncd ipyleaflet\n(cd python/jupyter_leaflet; pip install -e .)\n(cd python/ipyleaflet; pip install -e .)\n```\n\nFor developing with JupyterLab:\n\n```\njupyter labextension develop --overwrite jupyter_leaflet\n```\n\n## Documentation\n\nTo get started with using `ipyleaflet`, check out the full documentation\n\nhttps://ipyleaflet.readthedocs.io/\n\n## License\n\nWe use a shared copyright model that enables all contributors to maintain the\ncopyright on their contributions.\n\nThis software is licensed under the MIT license. See the [LICENSE](LICENSE) file for details.\n\n## Related projects\n\nThe `ipyleaflet` repository includes the `jupyter-leaflet` npm package, which\nis a front-end component, and the `ipyleaflet` python package which is the\nbackend for the Python Jupyter kernel.\n\nSimilarly, the [`xleaflet`](https://github.com/jupyter-xeus/xleaflet/) project\nprovides a backend to `jupyter-leaflet` for the \"xeus-cling\" C++ Jupyter\nkernel.\n\n\n",
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