Skip to main content

Convert matplotlib contour plots to geojson

Project description

# geojsoncontour
[![Build Status](]( [![PyPI version](]( [![Coverage Status](](
A Python 3 module to convert matplotlib contour plots to geojson. Supports both contour and contourf plots.

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: [](

![geojson contour demo usage](

## Installation
Install with pip,
$ pip install geojsoncontour

## Usage

Use `contour_to_geojson` to create a geojson with contour lines from a `matplotlib.contour` plot (not filled).
Use `contourf_to_geojson` to create a geojson with filled contours from a `matplotlib.contourf` plot.

### 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,

# Convert matplotlib contour to geojson
geojson = geojsoncontour.contour_to_geojson(
For filled contour plots (`matplotlib.contourf`) use `contourf_to_geojson`.
See [](examples/ and [](examples/ for simple but complete examples.

### Show the geojson on a map
An easy way to show the generated geojson on a map is the online geojson renderer [](

### Style properties
Stroke color and width are set as geojson properties following

### 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

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release. See tutorial on generating distribution archives.

Built Distribution

geojsoncontour-0.3.0-py3-none-any.whl (8.2 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page