plot_map.ipynb

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    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.basemap import Basemap\n",
    "import pandas as pd\n",
    "import io\n",
    "%matplotlib inline\n",
    "\n",
    "u = u\"\"\"latitude,longitude\n",
    "42.357778,-71.059444\n",
    "39.952222,-75.163889\n",
    "25.787778,-80.224167\n",
    "30.267222, -97.763889\"\"\"\n",
    "\n",
    "# read in data to use for plotted points\n",
    "buildingdf = pd.read_csv(io.StringIO(u), delimiter=\",\")\n",
    "lat = buildingdf['latitude'].values\n",
    "lon = buildingdf['longitude'].values\n",
    "\n",
    "# determine range to print based on min, max lat and lon of the data\n",
    "margin = 2 # buffer to add to the range\n",
    "lat_min = min(lat) - margin\n",
    "lat_max = max(lat) + margin\n",
    "lon_min = min(lon) - margin\n",
    "lon_max = max(lon) + margin\n",
    "\n",
    "# create map using BASEMAP\n",
    "m = Basemap(llcrnrlon=lon_min,\n",
    "            llcrnrlat=lat_min,\n",
    "            urcrnrlon=lon_max,\n",
    "            urcrnrlat=lat_max,\n",
    "            lat_0=(lat_max - lat_min)/2,\n",
    "            lon_0=(lon_max-lon_min)/2,\n",
    "            projection='merc',\n",
    "            resolution = 'h',\n",
    "            area_thresh=10000.,\n",
    "            )\n",
    "m.drawcoastlines()\n",
    "m.drawcountries()\n",
    "m.drawstates()\n",
    "m.drawmapboundary(fill_color='#46bcec')\n",
    "m.fillcontinents(color = 'white',lake_color='#46bcec')\n",
    "# convert lat and lon to map projection coordinates\n",
    "lons, lats = m(lon, lat)\n",
    "# plot points as red dots\n",
    "m.scatter(lons, lats, marker = 'o', color='r', zorder=5)\n",
    "plt.show()"
   ]
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