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Eval-checkpoint.__22ipynb 3.33 MiB
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{
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 "cells": [
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  {
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   "cell_type": "code",
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   "execution_count": 27,
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   "metadata": {
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    "ExecuteTime": {
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     "end_time": "2018-03-22T11:58:38.092638Z",
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     "start_time": "2018-03-22T11:58:38.066875Z"
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    }
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   },
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   "outputs": [
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    {
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     "data": {
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      "text/html": [
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       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
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      ],
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      "text/vnd.plotly.v1+html": [
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       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
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      ]
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     },
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     "metadata": {},
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     "output_type": "display_data"
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    },
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    {
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     "name": "stdout",
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     "output_type": "stream",
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     "text": [
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      "/Users/jacquesfize/nas_cloud/Code/str-python\n"
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     ]
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    }
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   ],
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   "source": [
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    "import pandas as pd\n",
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    "import matplotlib.pyplot as plt\n",
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    "import networkx as nx\n",
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    "import json,glob,re\n",
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    "from scipy.spatial.distance import jaccard\n",
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    "import numpy as np\n",
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    "from math import*\n",
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    "\n",
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    "import matplotlib.pyplot as plt\n",
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    "import seaborn as sns\n",
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    "#%matplotlib inline\n",
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    "#from IPython.display import set_matplotlib_formats\n",
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    "#set_matplotlib_formats('pdf', 'svg')\n",
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    "#sns.set_palette(sns.color_palette(\"hls\", 8))\n",
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    "\n",
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    "\n",
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    "import plotly.graph_objs as go\n",
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    "import plotly.offline as py\n",
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    "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n",
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    "init_notebook_mode(connected=True)\n",
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    "\n",
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    "\n",
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    "def jaccard_similarity(x,y): \n",
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    "    intersection_cardinality = len(set.intersection(*[set(x), set(y)]))\n",
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    "    union_cardinality = len(set.union(*[set(x), set(y)]))\n",
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    "    return intersection_cardinality/float(union_cardinality)\n",
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    "%cd .."
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 28,
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   "metadata": {
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    "ExecuteTime": {
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     "end_time": "2018-03-22T11:58:39.805564Z",
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     "start_time": "2018-03-22T11:58:38.559018Z"
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    }