Ruptura_Projetada/S&OP/heatmap_ruptura.ipynb

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    "# file: brazil_regions_heatmap.py\n",
    "\n",
    "import folium\n",
    "import json\n",
    "import pandas as pd\n",
    "import requests\n",
    "from branca.colormap import linear\n",
    "\n",
    "# Porcentagens por região personalizada\n",
    "region_data = {\n",
    "    \"Norte\": 17.4,\n",
    "    \"Nordeste - norte\": 15.0,\n",
    "    \"Nordeste - sul\": 18.1,\n",
    "    \"São paulo\": 23.0,\n",
    "    \"Sudeste\": 20.5,\n",
    "    \"Sul\": 23.3\n",
    "}\n",
    "\n",
    "# Mapeamento de estados para regiões personalizadas\n",
    "region_mapping = {\n",
    "    # Norte\n",
    "    \"AC\": \"Norte\", \"AP\": \"Norte\", \"AM\": \"Norte\", \"PA\": \"Norte\", \"RO\": \"Norte\", \"RR\": \"Norte\", \"TO\": \"Norte\",\n",
    "\n",
    "    # Nordeste - norte\n",
    "    \"MA\": \"Nordeste - norte\", \"PI\": \"Nordeste - norte\", \"CE\": \"Nordeste - norte\",\n",
    "    \"RN\": \"Nordeste - norte\", \"PB\": \"Nordeste - norte\", \"PE\": \"Nordeste - norte\",\n",
    "\n",
    "    # Nordeste - sul\n",
    "    \"AL\": \"Nordeste - sul\", \"SE\": \"Nordeste - sul\", \"BA\": \"Nordeste - sul\",\n",
    "\n",
    "    # Sudeste (sem SP)\n",
    "    \"MG\": \"Sudeste\", \"RJ\": \"Sudeste\", \"ES\": \"Sudeste\",\n",
    "\n",
    "    # São Paulo\n",
    "    \"SP\": \"São paulo\",\n",
    "\n",
    "    # Sul\n",
    "    \"PR\": \"Sul\", \"SC\": \"Sul\", \"RS\": \"Sul\"\n",
    "}\n",
    "\n",
    "# Baixar GeoJSON dos estados brasileiros\n",
    "geojson_url = 'https://raw.githubusercontent.com/codeforamerica/click_that_hood/master/public/data/brazil-states.geojson'\n",
    "geojson_data = requests.get(geojson_url).json()\n",
    "\n",
    "# Construir DataFrame de estado -> porcentagem\n",
    "state_data = []\n",
    "centroids = {}\n",
    "region_centroid = {}\n",
    "region_states = {}\n",
    "\n",
    "for feature in geojson_data['features']:\n",
    "    state_abbr = feature['properties']['sigla']\n",
    "    region = region_mapping.get(state_abbr)\n",
    "    percent = region_data.get(region)\n",
    "    coords = feature['geometry']['coordinates'][0]\n",
    "\n",
    "    # calcular centro aproximado (média dos pontos)\n",
    "    if feature['geometry']['type'] == 'Polygon':\n",
    "        lon = sum([point[0] for point in coords]) / len(coords)\n",
    "        lat = sum([point[1] for point in coords]) / len(coords)\n",
    "    elif feature['geometry']['type'] == 'MultiPolygon':\n",
    "        coords = feature['geometry']['coordinates'][0][0]\n",
    "        lon = sum([point[0] for point in coords]) / len(coords)\n",
    "        lat = sum([point[1] for point in coords]) / len(coords)\n",
    "    else:\n",
    "        lon, lat = 0, 0\n",
    "\n",
    "    centroids[state_abbr] = (lat, lon)\n",
    "    state_data.append({\"state\": state_abbr, \"region\": region, \"percent\": percent})\n",
    "\n",
    "    if region not in region_centroid:\n",
    "        region_centroid[region] = []\n",
    "    region_centroid[region].append((lat, lon))\n",
    "\n",
    "    if region not in region_states:\n",
    "        region_states[region] = set()\n",
    "    region_states[region].add(state_abbr)\n",
    "\n",
    "df = pd.DataFrame(state_data)\n",
    "\n",
    "# Criar colormap azul (claro até escuro)\n",
    "colormap = linear.Blues_09.scale(df[\"percent\"].min(), df[\"percent\"].max())\n",
    "colormap.caption = \"Porcentagem de Ruptura Bruta por região\"\n",
    "\n",
    "# Criar mapa centrado apenas no Brasil com fundo branco (usar \"white tile\")\n",
    "white_tile_url = \"https://tiles.wmflabs.org/bw-mapnik/{z}/{x}/{y}.png\"\n",
    "m = folium.Map(location=[-14.2350, -51.9253], zoom_start=4, tiles=white_tile_url, attr='Wikimedia')\n",
    "\n",
    "# Adicionar o choropleth com estados não preenchidos em cinza claro\n",
    "folium.Choropleth(\n",
    "    geo_data=geojson_data,\n",
    "    name=\"choropleth\",\n",
    "    data=df,\n",
    "    columns=[\"state\", \"percent\"],\n",
    "    key_on=\"feature.properties.sigla\",\n",
    "    fill_color=\"Blues\",\n",
    "    fill_opacity=0.9,\n",
    "    line_opacity=0.5,\n",
    "    line_color=\"black\",\n",
    "    nan_fill_color=\"#dddddd\",\n",
    "    nan_fill_opacity=1,\n",
    "    highlight=True,\n",
    "    legend_name=\"Porcentagem de Ruptura Bruta por região\"\n",
    ").add_to(m)\n",
    "\n",
    "# Adicionar uma única label por região (fonte maior)\n",
    "for region, coords in region_centroid.items():\n",
    "    if region and region in region_data:\n",
    "        lat = sum([c[0] for c in coords]) / len(coords)\n",
    "        lon = sum([c[1] for c in coords]) / len(coords)\n",
    "        percent = region_data[region]\n",
    "        folium.map.Marker(\n",
    "            [lat, lon],\n",
    "            icon=folium.DivIcon(html=f'<div style=\"font-size:16pt; color:black; text-align:center\">{percent:.1f}%</div>')\n",
    "        ).add_to(m)\n",
    "\n",
    "# Adicionar colormap\n",
    "colormap.add_to(m)\n",
    "\n",
    "# Salvar o mapa\n",
    "m.save(\"heatmap_brasil2.html\")\n"
   ]
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