Centroid Layout¶

Create a symbol cartogram with symbols placed at the centroids of the original geometries.

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",
    # place symbols at the state centroids and remove overlap
    layout=smb.CentroidLayout(remove_overlap=True),
    show_progress=False,
)

Plot the symbol cartogram

fig, ax = plt.subplots(1, 1, figsize=(10, 6))

_ = symbol_carto.plot(
    ax=ax,
    # color by population size
    column="Population (Millions)",
    # shrink the colorbar
    legend_kwds={"shrink": 0.5},
    # label the largest states
    # we use the State abbreviation look-up table in the censusdis package
    label=[
        row["State Abbreviation"] if row["State Abbreviation"] in ["CA", "TX", "FL", "NY"] else ""
        for _, row in us_states.iterrows()
    ],
)

plt.tight_layout()

plot symbol centroid layout

Total running time of the script: ( 0 minutes 1.281 seconds)

Download Python source code: plot_symbol_centroid_layout.py

Download Jupyter notebook: plot_symbol_centroid_layout.ipynb

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