.. 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. The legend uses round swatches (``swatch_shape="circle"``). Hover a department to read its value. .. GENERATED FROM PYTHON SOURCE LINES 13-43 .. raw:: html .. code-block:: Python from pathlib import Path import pandas as pd import mappyng as mp 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 = ( mp.Map(deps, width=820, height="auto", border_radius=0) + mp.Choropleth( deps, column="taux_mortalite", cmap="Reds", method="Quantiles", num_classes=5, stroke_width=0.2, legend=mp.Legend("Deaths / 100,000 inhabitants", orientation="horizontal", decimals=0, nodata_label="No data", swatch_shape="circle"), ) + mp.Title("Mortality from heart failure", subtitle="Metropolitan France, standardised rate") + mp.Source("Source: Sante publique France (ODISSE)") + mp.Tooltip(["LIB_GEO", "taux_mortalite"], aliases={"LIB_GEO": "Department", "taux_mortalite": "Rate"}) ) .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.109 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 `_