Designed to show geographical contour plots, created with matplotlib/pyplot, as vector layer on interactive slippy maps like OpenLayers and Leaflet.
Demo project that uses geojsoncontour: climatemaps.romgens.com
Currently only supports contour lines.
Installation
The recommended way to install is via pip,
$ pip install geojsoncontour
Usage
Contour plot to geojson
import numpy
import matplotlib.pyplot as plt
import geojsoncontour
# Create contour data lon_range, lat_range, Z
<your code here>
# Create a contour plot plot from grid (lat, lon) data
figure = plt.figure()
ax = figure.add_subplot(111)
contour = ax.contour(lon_range, lat_range, Z, levels=levels, cmap=plt.cm.jet)
# Convert matplotlib contour to geojson
geojsoncontour.contour_to_geojson(
contour=contour,
geojson_filepath='out.geojson',
contour_levels=levels,
ndigits=3,
unit='m'
)See example1.py for a basic but complete example.
Show the geojson on a map
An easy way to show the generated geojson on a map is the online geojson renderer geojson.io.
Style properties
Stroke color and width are set as geojson properties following https://github.com/mapbox/simplestyle-spec.
Create geojson tiles
Try geojson-vt or tippecanoe if performance is an issue and you need to tile your geojson contours.
Tests
Run all tests,
python -m unittest discover
3 maintainers
Release files for geojsoncontour 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geojsoncontour-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Release files / geojsoncontour-0.1.2-py3-none-any.whl
| Download URL | geojsoncontour-0.1.2-py3-none-any.whl |
|---|---|
| Size | 5.5 kB |
| Tags | Python 3 |
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