.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/plot_03_proportional.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_plot_03_proportional.py: Proportional symbols ===================== For an *absolute* quantity (a count), symbol size preserves the magnitude that colour value would flatten. Data: excess deaths among people over 75 during the 2025 heatwaves, by department (Sante publique France, ODISSE). Hover a circle to read its value. .. GENERATED FROM PYTHON SOURCE LINES 12-63 .. raw:: html .. code-block:: Python from pathlib import Path import pandas as pd import mappyng as mp from mappyng.data import load_france_departments, load_france_regions, load_europe europe = load_europe().to_crs(2154) regions = load_france_regions().to_crs(2154) deps = load_france_departments().to_crs(2154) df = pd.read_csv(Path("data") / "canicule_exces_75_2025.csv", dtype={"code_dep": str}) deps = deps.merge(df, left_on="COD_GEO", right_on="code_dep", how="left") pts = deps[deps["exces_deces"].notna()].copy() BBOX_METRO = [90000, 6040000, 1280000, 7150000] OVERSEAS = { "Guadeloupe": [-6890454, 1780151, -6799589, 1874186], "Martinique": [-6826862, 1609607, -6759494, 1685367], "French Guiana": [-6136680, 235261, -5707791, 671780], "Reunion": [6136383, -2448160, 6226316, -2366992], "Mayotte": [5006226, -1459183, 5050208, -1416184], } insets = mp.Insets( [mp.Inset(name, bbox=bbox, crs=3857) for name, bbox in OVERSEAS.items()], spacing=15, title_size=7, border_radius=6, box_shadow=True, ) m = ( mp.Map(europe, bbox=BBOX_METRO, width=900, height=1000, padding=25, facecolor="#eef2e6", border_radius=10, box_shadow={"dx": 3, "dy": 3, "blur": 6, "opacity": 0.2}) + insets + mp.Basemap() # Department outlines (where the circles sit), under the region outlines. + mp.Vector(deps, stroke="#9a9a9a", stroke_width=0.3) + mp.Vector(regions, stroke="#4d4d4d", stroke_width=0.2) + mp.DropShadow(europe, query="code_pays_iso3 == 'FRA'") + mp.Proportional(pts, column="exces_deces", fill="#d7301f", fill_opacity=0.6, stroke="#7f0000", legend=mp.Legend("Excess deaths")) + mp.Title("Excess deaths during heatwaves", subtitle="People over 75, 2025") # Scale bar over the sea, in the Gulf of Lion. + mp.ScaleBar(length=100000, label="100 km", position=(0.55, 0.855), opacity=0.8) + mp.Source("Source: Sante publique France (ODISSE)") + mp.Tooltip(["LIB_GEO", "exces_deces"], aliases={"LIB_GEO": "Department", "exces_deces": "Excess deaths"}) ) .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.295 seconds) .. _sphx_glr_download_gallery_plot_03_proportional.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_03_proportional.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_03_proportional.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_03_proportional.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_