{
    "info": {
        "author": "Bart R\u00f6mgens",
        "author_email": "bart.romgens@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "# geojsoncontour\n[![Build Status](https://travis-ci.org/bartromgens/geojsoncontour.svg?branch=master)](https://travis-ci.org/bartromgens/geojsoncontour) [![PyPI version](https://badge.fury.io/py/geojsoncontour.svg)](https://badge.fury.io/py/geojsoncontour) [![Coverage Status](https://coveralls.io/repos/github/bartromgens/geojsoncontour/badge.svg?branch=master)](https://coveralls.io/github/bartromgens/geojsoncontour?branch=master)  \nA Python 3 module to convert matplotlib contour plots to geojson. Supports both contour and contourf plots.\n\nDesigned to show geographical [contour plots](http://matplotlib.org/examples/pylab_examples/contour_demo.html), \ncreated with [matplotlib/pyplot](https://github.com/matplotlib/matplotlib), as vector layer on interactive slippy maps like [OpenLayers](https://github.com/openlayers/ol3) and [Leaflet](https://github.com/Leaflet/Leaflet).\n\nDemo project that uses geojsoncontour: [climatemaps.romgens.com](http://climatemaps.romgens.com)\n\n![geojson contour demo usage](https://raw.githubusercontent.com/bartromgens/geojsoncontour/master/data/example_climatemaps.png)\n\n## Installation\nInstall with pip,\n```\n$ pip install geojsoncontour\n```\n\n## Usage\n\nUse `contour_to_geojson` to create a geojson with contour lines from a `matplotlib.contour` plot (not filled).\nUse `contourf_to_geojson` to create a geojson with filled contours from a `matplotlib.contourf` plot.\n\n### Contour plot to geojson\n```python\nimport numpy\nimport matplotlib.pyplot as plt\nimport geojsoncontour\n\n# Create contour data lon_range, lat_range, Z\n<your code here>\n\n# Create a contour plot plot from grid (lat, lon) data\nfigure = plt.figure()\nax = figure.add_subplot(111)\ncontour = ax.contour(lon_range, lat_range, Z, cmap=plt.cm.jet)\n\n# Convert matplotlib contour to geojson\ngeojson = geojsoncontour.contour_to_geojson(\n    contour=contour,\n    ndigits=3,\n    unit='m'\n)\n```\nFor filled contour plots (`matplotlib.contourf`) use `contourf_to_geojson`.\nSee [example_contour.py](examples/example_contour.py) and [example_contourf.py](examples/example_contourf.py) for simple but complete examples.\n\n### Show the geojson on a map\nAn easy way to show the generated geojson on a map is the online geojson renderer [geojson.io](http://geojson.io) or [geojson.tools](http://geojson.tools).\n\n### Style properties\nStroke color and width are set as geojson properties following https://github.com/mapbox/simplestyle-spec.\n\n### Create geojson tiles\nTry [geojson-vt](https://github.com/mapbox/geojson-vt) or [tippecanoe](https://github.com/mapbox/tippecanoe) if performance is an issue and you need to tile your geojson contours.\n\n\n## Tests\n\nRun all tests,\n```\npython -m unittest discover\n```\n\n\n",
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