notebooks/amenities/amenity_radar.ipynb

@@ -29,29 +29,7 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "from sqlalchemy import create_engine\n",
-    "import os\n",
-    "\n",
-    "engine = create_engine(os.environ.get('DATABASE_URL', 'postgresql://portfolio:portfolio@localhost:5432/portfolio'))\n",
-    "\n",
-    "query = \"\"\"\n",
-    "SELECT\n",
-    "    neighbourhood_name,\n",
-    "    parks_index,\n",
-    "    schools_index,\n",
-    "    transit_index,\n",
-    "    amenity_index,\n",
-    "    amenity_tier\n",
-    "FROM public_marts.mart_neighbourhood_amenities\n",
-    "WHERE year = (SELECT MAX(year) FROM public_marts.mart_neighbourhood_amenities)\n",
-    "ORDER BY amenity_index DESC\n",
-    "\"\"\"\n",
-    "\n",
-    "df = pd.read_sql(query, engine)\n",
-    "print(f\"Loaded {len(df)} neighbourhoods\")"
-   ]
+   "source": "import pandas as pd\nfrom sqlalchemy import create_engine\nfrom dotenv import load_dotenv\nimport os\n\n# Load .env from project root\nload_dotenv('../../.env')\n\nengine = create_engine(os.environ.get('DATABASE_URL'))\n\nquery = \"\"\"\nSELECT\n    neighbourhood_name,\n    parks_index,\n    schools_index,\n    transit_index,\n    amenity_index,\n    amenity_tier\nFROM public_marts.mart_neighbourhood_amenities\nWHERE year = (SELECT MAX(year) FROM public_marts.mart_neighbourhood_amenities)\nORDER BY amenity_index DESC\n\"\"\"\n\ndf = pd.read_sql(query, engine)\nprint(f\"Loaded {len(df)} neighbourhoods\")"
   },
   {
    "cell_type": "markdown",