.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/plot_11_choropleth_borderless.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_11_choropleth_borderless.py: Borderless choropleth ====================== Metropolitan France alone, with no chrome around the map: no ocean panel, no frame and no drop shadow. Leaving ``facecolor`` unset and ``border_radius=0`` places the choropleth directly on the page background, for a clean figure to drop into a document. Hover a department to read its value. .. GENERATED FROM PYTHON SOURCE LINES 12-44 .. raw:: html .. code-block:: Python from pathlib import Path import pandas as pd from mappyng import Map, ChoroplethLayer from mappyng.data import load_france_departments deps = load_france_departments().to_crs(2154) # Metropolitan France only: its department codes have two characters, # while every overseas department or collectivity has three. deps = deps[deps["COD_GEO"].str.len() == 2] df = pd.read_csv(Path("data") / "cardio_mortalite_dep.csv", dtype={"code_dep": str}) deps = deps.merge(df, left_on="COD_GEO", right_on="code_dep", how="left") m = Map(deps, width=820, height="auto", border_radius=0) m.add(ChoroplethLayer(deps, column="taux_mortalite", cmap="Reds", method="Quantiles", num_classes=5, stroke_width=0.2, legend={"title": "Deaths / 100,000 inhabitants", "orientation": "horizontal", "decimals": 0, "nodata_label": "No data"})) m.title("Mortality from heart failure", subtitle="Metropolitan France, standardised rate") m.source("Source: Sante publique France (ODISSE)") # Hover tooltips. The gallery embeds an interactive SVG from this dict; the # same call also yields a standalone HTML file. TOOLTIP = {"columns": ["LIB_GEO", "taux_mortalite"], "aliases": {"LIB_GEO": "Department", "taux_mortalite": "Rate"}} interactive = m.to_interactive(**TOOLTIP) # interactive.save("choropleth_borderless.html") .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.139 seconds) .. _sphx_glr_download_gallery_plot_11_choropleth_borderless.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_11_choropleth_borderless.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_11_choropleth_borderless.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_11_choropleth_borderless.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_