gspatial_plot
A geospatial plotting library built on top of geopandas. The aim of this library is to simplify generation of various geospatial plot and provide a simple interface to various commonly used geospatial plot types.
Documentation
Welcome to gspatial-plot’s documentation! — gspatial-plot 0.1.0a0 documentation
Features
-
Simple API
-
Better defaults compared to vanilla geopandas plot
-
Customizations made simple
-
Compatible with other geopandas or matplotlib axis objects
-
Provides functions for plotting bubbleplots, cartograms, heatmaps, spikemaps and densityplots
Installing
pip install gspatial-plot
Usage
import gspatial_plot as gsp
usa = gsp.us_states
usa = usa[
~usa["NAME"].isin(
[
"Hawaii",
"Guam",
"American Samoa",
"Commonwealth of the Northern Mariana Islands",
"Alaska",
]
)
]
gsp.randommap(usa, seed=3, annot=True, annot_column="NAME", figsize=(30, 30))gsp.shapeplot(usa, figsize=(15, 15))gsp.pointplot(usa_points, base=usa)gsp.choropleth(usa, "AWATER")gsp.bubblemap(usa, usa["AWATER"])gsp.cartogram(
usa,
"AWATER",
)gsp.densityplot(usa, clip=True, clip_factor=1.5)gsp.heatmap(usa, "AWATER")gsp.spikemap(usa, "AWATER")gsp.offline_static_basemap()gsp.offline_folium_basemap(crs="EPSG4326")
