Note
Click here to download the full example code
Adjacency Heatmap¶
This example demonstrates how to visualize a heatmap of adjacency relationships used to create the symbol cartogram.
Load data and create the symbol cartogram.
import matplotlib.pyplot as plt
import carto_flow.data as examples
import carto_flow.symbol_cartogram as smb
us_states = examples.load_us_census(population=True, simplify=200)
symbol_carto = smb.create_symbol_cartogram(
us_states,
# provide a column for proportional sizing of the symbols
"Population",
# use a physics-based circle packing layout
layout=smb.CirclePackingLayout(),
# size the circles such that their total area
# matches the total area of the original geometries
size_normalization="total",
# compute adjacency as the fraction of a geometry's perimeter that
# is shared with another geometry
adjacency_mode="weighted",
show_progress=False,
)
Plot the symbol cartogram
result = smb.plot_adjacency_heatmap(
symbol_carto,
labels=us_states["State Abbreviation"],
colorbar=True,
sort_by="label",
figsize=(10, 8),
tick_fontsize=8,
colorbar_kwds={"shrink": 0.5},
)
plt.tight_layout()
Total running time of the script: ( 0 minutes 2.166 seconds)
Download Python source code: plot_symbol_circle_packing_adjacency_heatmap.py
Download Jupyter notebook: plot_symbol_circle_packing_adjacency_heatmap.ipynb