Note
Click here to download the full example code
Flow Cartogram Convergence¶
Plots the convergence of the diffusion algorithm using plot_convergence.
Build the cartogram
import matplotlib.pyplot as plt
import carto_flow.data as examples
import carto_flow.flow_cartogram as flow
gdf = examples.load_us_census(population=True)
cartogram = flow.morph_gdf(
gdf,
"Population",
options=flow.MorphOptions.preset_balanced().copy_with(n_iter=250, area_scale=1e-6, show_progress=False),
)
Plot convergence of mean and max errors.
fig, ax = plt.subplots(1, 1, figsize=(8, 5))
plot = flow.visualization.plot_convergence(cartogram, ax=ax, show_recompute=True)
Total running time of the script: ( 0 minutes 2.189 seconds)
Download Python source code: plot_flow_convergence.py