Skip to main content

Wrapper to easily make geo-based visualizations

Project description

# geoviz Plotting library for creating interactive and static choropleths.

Tutorial: http://locusanalytics.github.io/files/geoviz_tutorial.html

Choropleths can take in dataframes or csv files, and plot sequential, divergent, and categorical data. Future updates will allow user to supply their own shapefiles; the package current has functionality to plot US maps at the state, metropolitan statistical area, or county level (all shapefiles include Hawaii and Alaska).

![Sequential data demo](plots/demo2.png) ![Divergent data demo](plots/demo3.png)

Plots can be outputted as as interactive html files or interactive Bokeh plots. The latter can only be done in Jupyter Notebooks. Static png or svg files can be saved manually once the above is generated using a widget button.

For more information on usage, please see the tutorial.

Project details


Download files

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

Source Distribution

geoviz-1.0.0.tar.gz (848.6 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page