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   "source": [
    "# Plotly Density Heatmap\n",
    "\n",
    "This example reviews plotting density heatmap from a GeoDataFrame using plotly."
   ]
  },
  {
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   "execution_count": null,
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   "source": [
    "import mapped\n",
    "import geopandas as gpd\n",
    "import plotly\n",
    "from plotly.graph_objects import Figure\n",
    "mapped.__version__, gpd.__version__, plotly.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First load some example point data."
   ]
  },
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   },
   "outputs": [],
   "source": [
    "from mapped.example_data import mad_points\n",
    "points = mad_points()\n",
    "points.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The heatmap generates a \n",
    "[Mapbox Density Heatmap](https://plot.ly/python/mapbox-density-heatmaps/),\n",
    "not a plain heatmap."
   ]
  },
  {
   "cell_type": "code",
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   "outputs": [],
   "source": [
    "points.plotly_heatmap(\n",
    "    'number', \n",
    "    radius=10, \n",
    "    mapbox_style='carto-positron', \n",
    ")"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    ".. currentmodule:: mapped\n",
    "\n",
    ".. automethod:: GeoDataFrame.plotly_heatmap"
   ]
  }
 ],
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