Detailed examples of USA County Choropleth Maps including changing color, size, log axes, and more in Python.

Jul 28, 2020 · In this tutorial we will take a look at the powerful geopandas library and use it to plot a map of the United States. You can run all of the python code examples in the tutorial by cloning the companion github repository. I have used other GIS libraries in python and let me say geopandas is a real joy to use! Jonathan Cutrer. A quick note ...

Nov 12, 2009 · What if you just want a simple map without all the GIS stuff? In this post, I’ll show you how to make a county-specific choropleth map using only free tools. Here’s what we’re after. It’s an unemployment map from 2009. Step 0. System requirements. This tutorial was written with Python 2.5 and Beautiful Soup 3.

3 days ago · I'd like to know how to fill in a map of U.S. counties by value (i.e., a chloropleth map), using Python 3 and Cartopy, and I haven't yet found anything online to guide me in that.

This post describes how to build a choropleth map with python and the geopandas library. It loads a geojson file of the US counties and draw the map with geoplot.

Detailed examples of Tile Choropleth Maps including changing color, size, log axes, and more in Python.

Apr 21, 2021 · Plot maps from the US Census Bureau using Geopandas and Contextily in Python. Leverage geopandas and contextily libraries to combine geometrical polygon shapes with raster tilemaps. In this...

Sep 5, 2023 · Before we begin, we need to download a dataset exciting enough for this tutorial and geo-data to draw accurate maps of the United States. For the maps, I’m using shape files from Cencus.gov. You can use the following links to download both states and counties.

Jun 27, 2020 · Ranking The Most/Least Populous Counties. Now we’re ready to create our map! We pass in the merged dataframe and our JSON data so that plotly knows what to show on the map.

Let’s write a script that allows users to discover the counties of any U.S. state. We’ll display a map like the one below, and we also export the boundaries as a GeoJSON file. Instead of hard-coding the state’s name, we’ll allow the user to supply it as a command-line argument, e.g. python counties.py Oregon .