embedded sf map

embedded_map.ipynb

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     "text": [
      "Mario Javier Carrillo 2017-11-08 \n",
      "\n",
      "CPython 3.6.3\n",
      "IPython 6.2.1\n",
      "\n",
      "matplotlib 2.1.0\n",
      "numpy 1.13.3\n",
      "pandas 0.21.0\n"
     ]
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   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import mplleaflet\n",
    "import seaborn as sns\n",
    "\n",
    "import prettyplotlib as ppl\n",
    "\n",
    "import imp\n",
    "pd.set_option(\"max_columns\", None)\n",
    "sns.set_style('whitegrid')\n",
    "\n",
    "%load_ext watermark\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "%watermark -v -d -a 'Mario Javier Carrillo' -p matplotlib,numpy,pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sfcrime = pd.read_pickle('../data/sfcrime.pkl')\n",
    "sfcrime['Category'].replace(\"LARCENY/THEFT\",\"LARCENY_THEFT\", inplace=True )\n",
    "sfcrime = sfcrime.rename(columns={'Y': 'latitude', 'X': 'longitude'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plotter = imp.load_source('plotter', '../utils/plotting/maps_visual.py')\n",
    "from plotter import sampling_data_points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "frame_1, frame_2 = sampling_data_points(sfcrime, col_cat=\"Category\", category='DRUNKENNESS', col_time='year', \n",
    "              num_1=2016, num_2=2017, num_sample=1000)\n",
    "fig = plt.figure(figsize=(20,15))\n",
    "ax = fig.gca()\n",
    "ax = plt.scatter(frame_1['longitude'], frame_1['latitude'], marker=\"o\", color=\"r\", s=20, linewidths=1)\n",
    "ax = plt.scatter(frame_2['longitude'], frame_2['latitude'], marker=\"x\", color=\"black\", s=20, linewidths=1)\n",
    "mplleaflet.display(fig=ax.figure)"
   ]
  },
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   "execution_count": null,
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    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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