Note
Click here to download the full example code
Flow Cartogram¶
A flow-based cartogram where country areas are proportional to population.
Uses carto_flow.flow_cartogram.morph_gdf.
Load dataset and run the morphing algorithm.
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import carto_flow.data as examples
import carto_flow.flow_cartogram as flow
us_states = examples.load_us_census(population=True)
# compute flow cartogram
result = flow.morph_gdf(us_states, "Population", options=flow.MorphOptions(show_progress=False))
Plot the cartogram.
_, ax = plt.subplots(1, 1, figsize=(10, 6))
p = result.plot(
"Population (Millions)",
ax=ax,
vmin=0,
vmax=40,
legend=True,
legend_kwds={"shrink": 0.6, "label": "Population (Millions)"},
cmap="RdYlGn_r",
linewidth=0.5,
)
p.ax.set(title="Cartogram of US States by Population")
p.ax.axis("off")
plt.tight_layout()
Total running time of the script: ( 0 minutes 5.222 seconds)
Download Python source code: plot_flow_cartogram.py