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geoplot: geospatial data visualization\n\n[![](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)\n\n\u003ca href=https://residentmario.github.io/geoplot/gallery/plot_nyc_collision_factors.html\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/ResidentMario/geoplot/master/figures/nyc-collision-factors.png\" height=\"130\" width=\"130\"\u003e\n\u003c/a\u003e\n\n\u003ca href=https://residentmario.github.io/geoplot/gallery/plot_los_angeles_flights.html\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/ResidentMario/geoplot/master/figures/los-angeles-flights.png\" height=\"130\" width=\"130\"\u003e\n\u003c/a\u003e\n\n\u003ca href=https://residentmario.github.io/geoplot/gallery/plot_usa_city_elevations.html\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/ResidentMario/geoplot/master/figures/usa-city-elevations.png\" height=\"130\"\u003e\n\u003c/a\u003e\n\n\u003ca href=https://residentmario.github.io/geoplot/gallery/plot_nyc_parking_tickets.html\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/ResidentMario/geoplot/master/figures/nyc-parking-tickets.png\" height=\"130\" width=\"130\"\u003e\n\u003c/a\u003e\n\n\u003ca href=https://residentmario.github.io/geoplot/gallery/plot_dc_street_network.html\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/ResidentMario/geoplot/master/figures/dc-street-network.png\" height=\"130\" width=\"130\"\u003e\n\u003c/a\u003e\n\n`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:\n\n* **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.\n* **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.\n* **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.\n\nInstallation is simple with `conda install geoplot -c conda-forge`. [See the documentation for help getting started](https://residentmario.github.io/geoplot/index.html).\n\n----\n\nAuthor 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.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FResidentMario%2Fgeoplot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FResidentMario%2Fgeoplot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FResidentMario%2Fgeoplot/lists"}