Replace geopandas.datasets by geodatasets in the examples

.github/workflows/build.yaml

@@ -62,9 +62,7 @@ jobs:
         with:
           python-version: ${{ env.PYTHON_VERSION }}
       - name: env setup
-        run: |
-          python -m pip install --upgrade pip setuptools
-          python -m pip install build
+        run: python -m pip install build
       - name: pip build
         run: python -m build
       - name: Publish package to PyPI

.github/workflows/test.yaml

@@ -157,8 +157,6 @@ jobs:
       - uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
-      - name: upgrade pip / setuptools
-        run: pip install -U pip setuptools
       - name: install with geo
         run: pip install -v --prefer-binary -e '.[tests, examples-tests, geo, hvdev, hvdev-geo, dev-extras]'
       - name: pip list

doc/index.md

@@ -89,11 +89,11 @@ align: center
 
 :::{tab-item} GeoPandas
 ```python
-import geopandas as gpd
+import geopandas as gpd, geodatasets
 import hvplot.pandas
 
-gdf = gpd.read_file(gpd.datasets.get_path('naturalearth_cities'))
-gdf.hvplot(global_extent=True, tiles=True)
+chicago = gpd.read_file(geodatasets.get_path("geoda.chicago_commpop"))
+chicago.hvplot.polygons(geo=True, c='POP2010', hover_cols='all')
 ```
 ```{image} ./_static/home/geopandas.gif
 ---

doc/reference/geopandas/points.ipynb

@@ -31,8 +31,18 @@
    "source": [
     "import geopandas as gpd\n",
     "\n",
-    "cities = gpd.read_file(gpd.datasets.get_path('naturalearth_cities'))\n",
-    "cities.sample(5)"
+    "\n",
+    "data = {\n",
+    "    'City': ['London', 'Paris', 'Berlin', 'Madrid', 'Rome', 'Vienna', 'Warsaw', 'Amsterdam'],\n",
+    "    'Country': ['United Kingdom', 'France', 'Germany', 'Spain', 'Italy', 'Austria', 'Poland', 'Netherlands'],\n",
+    "    'Latitude': [51.5074, 48.8566, 52.5200, 40.4168, 41.9028, 48.2082, 52.2297, 52.3676],\n",
+    "    'Longitude': [-0.1278, 2.3522, 13.4050, -3.7038, 12.4964, 16.3738, 21.0122, 4.9041]\n",
+    "}\n",
+    "cities = gpd.GeoDataFrame(\n",
+    "    data,\n",
+    "    geometry=gpd.points_from_xy(data['Longitude'], data['Latitude']),\n",
+    "    crs=\"EPSG:4326\",\n",
+    ")"
    ]
   },
   {
@@ -82,7 +92,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "cities.hvplot(coastline=True, projection=ccrs.Geostationary(central_longitude=-30), global_extent=True)"
+    "cities.hvplot(coastline=True, projection=ccrs.Geostationary(central_longitude=10), global_extent=True)"
    ]
   }
  ],

doc/reference/geopandas/polygons.ipynb

@@ -29,10 +29,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import geodatasets\n",
     "import geopandas as gpd\n",
     "\n",
-    "countries = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
-    "countries.sample(5)"
+    "chicago = gpd.read_file(geodatasets.get_path(\"geoda.chicago_commpop\"))\n",
+    "chicago.sample(3)"
    ]
   },
   {
@@ -41,7 +42,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "countries.hvplot(geo=True)"
+    "chicago.hvplot(geo=True)"
    ]
   },
   {
@@ -57,7 +58,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "countries.hvplot.polygons(geo=True, c='pop_est', hover_cols='all')"
+    "chicago.hvplot.polygons(geo=True, c='POP2010', hover_cols='all')"
    ]
   },
   {
@@ -73,7 +74,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "countries.hvplot.polygons(geo=True, c=countries.pop_est/countries.area, clabel='pop density')"
+    "chicago.hvplot.polygons(\n",
+    "    geo=True,\n",
+    "    c=chicago.POP2010/chicago.to_crs('EPSG:32616').area,\n",
+    "    clabel='pop density',\n",
+    ")"
    ]
   }
  ],

hvplot/plotting/core.py

@@ -1767,10 +1767,11 @@ def polygons(self, x=None, y=None, c=None, **kwds):
         .. code-block::
 
             import geopandas as gpd
+            import geodatasets
             import hvplot.pandas
 
-            countries = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
-            countries.hvplot.polygons(geo=True, c='pop_est', hover_cols='all')
+            chicago = gpd.read_file(geodatasets.get_path("geoda.chicago_commpop"))
+            chicago.hvplot.polygons(geo=True, c='POP2010', hover_cols='all')
         """
         return self(x, y, c=c, kind='polygons', **kwds)