https://github.com/ResidentMario/geoplot

High-level geospatial data visualization library for Python.
https://github.com/ResidentMario/geoplot

geopandas geospatial-data geospatial-visualization matplotlib spatial-analysis

Last synced: about 2 months ago
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High-level geospatial data visualization library for Python.

• Host: GitHub
• URL: https://github.com/ResidentMario/geoplot
• Owner: ResidentMario
• License: mit
• Created: 2016-06-29T00:11:33.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2024-06-08T05:53:23.000Z (4 months ago)
• Last Synced: 2024-07-19T01:02:01.559Z (2 months ago)
• Topics: geopandas, geospatial-data, geospatial-visualization, matplotlib, spatial-analysis
• Language: Python
• Homepage: https://residentmario.github.io/geoplot/index.html
• Size: 138 MB
• Stars: 1,139
• Watchers: 35
• Forks: 96
• Open Issues: 29
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.md

Awesome Lists containing this project

• awesome-meteo - geoplot - level Python geospatial plotting library. (Uncategorized / Uncategorized)

README

        
# geoplot: geospatial data visualization

[![](https://img.shields.io/conda/v/conda-forge/geoplot.svg)](https://github.com/conda-forge/geoplot-feedstock) ![](https://img.shields.io/badge/python-3.7+-blue.svg) ![](https://img.shields.io/badge/status-maintained-yellow.svg) ![](https://img.shields.io/badge/license-MIT-green.svg) [![](https://zenodo.org/badge/DOI/10.5281/zenodo.3475569.svg)](https://zenodo.org/record/3475569)































`geoplot` is a high-level Python geospatial plotting library. It's an extension to `cartopy` and `matplotlib` which makes mapping easy: like `seaborn` for geospatial. It comes with the following features:

* **High-level plotting API**: geoplot is cartographic plotting for the 90% of use cases. All of the standard-bearermaps that you’ve probably seen in your geography textbook are easily accessible.

* **Native projection support**: The most fundamental peculiarity of geospatial plotting is projection: how do you unroll a sphere onto a flat surface (a map) in an accurate way? The answer depends on what you’re trying to depict. `geoplot` provides these options.

* **Compatibility with `matplotlib`**: While `matplotlib` is not a good fit for working with geospatial data directly, it’s a format that’s well-incorporated by other tools.

Installation is simple with `conda install geoplot -c conda-forge`. [See the documentation for help getting started](https://residentmario.github.io/geoplot/index.html).

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Author note: `geoplot` is currently in a **maintenence** state. I will continue to provide bugfixes and investigate user-reported issues on a best-effort basis, but do not expect to see any new library features anytime soon.