.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/plot_04_situation.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_04_situation.py: Situation map (qualitative symbols) =================================== Located qualitative points, differentiated by category, with a zoom window on the dense Paris region. Data: hospital helipads in mainland France, distinguished by night-flight capability (data.gouv.fr, CC-BY). Hover a marker to read its name. .. GENERATED FROM PYTHON SOURCE LINES 11-84 .. raw:: html .. code-block:: Python from pathlib import Path import geopandas as gpd import pandas as pd from mappyng import Map, BasemapLayer, SituationLayer, VectorLayer from mappyng.data import load_france_departments, load_europe europe = load_europe().to_crs(2154) deps = load_france_departments().to_crs(2154) df = pd.read_csv(Path("data") / "helistations.csv") points = gpd.GeoDataFrame( df, geometry=gpd.points_from_xy(df["longitude"], df["latitude"]), crs="EPSG:4326", ).to_crs(2154) bbox_metro = [90000, 6040000, 1280000, 7150000] cartouches = { 0: {"bbox": [-6890454, 1780151, -6799589, 1874186], "crs": 3857, "cartouche_title": "Guadeloupe", "cartouche_title_size": 7, "border_radius": 6, "box_shadow": True}, 1: {"bbox": [-6826862, 1609607, -6759494, 1685367], "crs": 3857, "cartouche_title": "Martinique", "cartouche_title_size": 7, "border_radius": 6, "box_shadow": True}, 2: {"bbox": [-6136680, 235261, -5707791, 671780], "crs": 3857, "cartouche_title": "French Guiana", "cartouche_title_size": 7, "border_radius": 6, "box_shadow": True}, 3: {"bbox": [6136383, -2448160, 6226316, -2366992], "crs": 3857, "cartouche_title": "Reunion", "cartouche_title_size": 7, "border_radius": 6, "box_shadow": True}, 4: {"bbox": [5006226, -1459183, 5050208, -1416184], "crs": 3857, "cartouche_title": "Mayotte", "cartouche_title_size": 7, "border_radius": 6, "box_shadow": True}, } m = Map(europe, bbox=bbox_metro, width=900, height=1000, padding=25, facecolor="#e8eef2", border_radius=10, cartouche_params=cartouches, cartouche_spacing=15) m.add(BasemapLayer()) m.add(VectorLayer(deps, stroke="#9aa6b2", stroke_width=0.2, on_cartouches=True)) m.add_shadow(europe, {"query": "code_pays_iso3=='FRA'", "on_cartouches": True}) # Zoom on the Paris region (Lambert-93), where helipads are dense. m.add_zoom({ "bbox": [586377, 6780533, 739396, 6904563], "border_radius": 8, "box_shadow": {"dx": 2, "dy": 2, "blur": 4, "opacity": 0.3}, }) m.add(BasemapLayer()) m.add(SituationLayer( points, column="vol_nuit", symbol={ "Night flight": {"marker": "circle", "fill": "#1f78b4", "size": 6}, "Day only": {"marker": "triangle", "fill": "#e31a1c", "size": 9}, }, legend={"title": "Hospital helipads"}, )) m.title("Hospital helipads", subtitle="Night-flight capability") m.scale_bar(length=100000, label="100 km", position={"x": 0.46, "y": 0.9}, opacity=0.8) m.source("Source: data.gouv.fr (CC-BY)") # Hover tooltips. The gallery embeds an interactive SVG from this dict; the # same call also yields a standalone HTML file. TOOLTIP = {"columns": ["nom", "vol_nuit"], "aliases": {"nom": "Site", "vol_nuit": "Capability"}} interactive = m.to_interactive(**TOOLTIP) # interactive.save("situation.html") .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.413 seconds) .. _sphx_glr_download_gallery_plot_04_situation.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_04_situation.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_04_situation.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_04_situation.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_