.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/plot_12_usa.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_12_usa.py: United States with Alaska and Hawaii insets ============================================ A choropleth of population density across the contiguous United States, drawn in the Albers Equal-Area projection (EPSG:5070). Neighbouring countries fill the background, while Alaska and Hawaii, far from the lower 48, are drawn as enlarged cartouches in their own projections (Alaska Albers and Web Mercator) so each keeps a faithful shape. The choropleth classes are shared across the main map and both insets. Hover a state to read its density. .. GENERATED FROM PYTHON SOURCE LINES 14-78 .. raw:: html .. code-block:: Python import geopandas as gpd from mappyng import Map, ChoroplethLayer, VectorLayer STATES_URL = ("https://raw.githubusercontent.com/PublicaMundi/MappingAPI/" "master/data/geojson/us-states.json") COUNTRIES_URL = ("https://raw.githubusercontent.com/nvkelso/natural-earth-" "vector/master/geojson/ne_110m_admin_0_countries.geojson") states = gpd.read_file(STATES_URL) # Repair geometries so they stay valid through the reprojections used by # the Alaska and Hawaii cartouches. states["geometry"] = states.make_valid() states = states.to_crs(5070) # Bordering countries as a backdrop. The Albers projection (EPSG:5070) is # only valid around the United States, so distant countries would project # to garbage coordinates that fall inside the frame. Keep an explicit list # of North American neighbours (Russia borders the Alaska inset). NEIGHBOURS = ["Canada", "Mexico", "Russia", "Cuba", "The Bahamas", "Greenland", "Guatemala", "Belize", "Honduras", "El Salvador"] neighbours = gpd.read_file(COUNTRIES_URL) neighbours["geometry"] = neighbours.make_valid() neighbours = neighbours[neighbours["ADMIN"].isin(NEIGHBOURS)] neighbours = neighbours.to_crs(5070) # Contiguous states frame (Albers), Alaska and Hawaii in their own CRS. bbox_conus = [-2400000, 250000, 2300000, 3220000] cartouches = { 0: {"bbox": [-2257001, 417661, 1492561, 2374335], "crs": 3338, "cartouche_title": "Alaska", "cartouche_title_size": 8, "size": 1.7, "border_radius": 6, "box_shadow": True}, 1: {"bbox": [-17784897, 2148846, -17233127, 2539036], "crs": 3857, "cartouche_title": "Hawaii", "cartouche_title_size": 8, "size": 1.7, "border_radius": 6, "box_shadow": True}, } m = Map(states, bbox=bbox_conus, width=980, height=680, padding=20, facecolor="#bcd6ea", border_radius=10, box_shadow={"dx": 3, "dy": 3, "blur": 6, "opacity": 0.2}, cartouche_params=cartouches, cartouche_spacing=18) m.add(VectorLayer(neighbours, fill="#ececec", stroke="#9a9a9a", stroke_width=0.4, position="background", on_cartouches=True)) m.add(ChoroplethLayer(states, column="density", cmap="Blues", method="Quantiles", num_classes=5, stroke_width=0.3, legend={"title": "Inhabitants / sq mi", "orientation": "horizontal", "decimals": 0}, on_cartouches=True)) m.title("United States population density, 2011", subtitle="Alaska and Hawaii shown as insets") # Scale bar in miles (the map CRS is metric: 300 mi = 482803 m), placed # over the open water of the Gulf of Mexico. m.scale_bar(length=482803, label="300 mi", position={"x": 0.57, "y": 0.89}, opacity=0.85) m.source("Density: US Census Bureau, 2011 | Borders: Natural Earth") # Hover tooltips. The gallery embeds an interactive SVG from this dict; the # same call also yields a standalone HTML file. TOOLTIP = {"columns": ["name", "density"], "aliases": {"name": "State", "density": "Inhabitants / sq mi"}} interactive = m.to_interactive(**TOOLTIP) # interactive.save("usa.html") .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.509 seconds) .. _sphx_glr_download_gallery_plot_12_usa.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_12_usa.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_12_usa.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_12_usa.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_