acadmic_tree_stats.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import collections\n",
    "import networkx as nx\n",
    "%matplotlib inline "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%lsmagic, parse_dates=['startdate','stopdate']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "missing_values=['N','0000-00-00']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dhananjay/genealogy/.env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3051: DtypeWarning: Columns (7,8) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "people=pd.read_csv('./neurotree/people.tsv', sep='\\t', encoding='utf-8',  escapechar='\\\\', na_values = missing_values)\n",
    "connect=pd.read_csv('./neurotree/connect.tsv', sep='\\t', encoding='latin-1',  escapechar='\\\\', na_values = missing_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1342409, 11)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "connect.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "connect_remove=connect[~(connect['pid2']==0)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(631273, 11)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "connect_remove.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cid                0\n",
       "pid1               0\n",
       "pid2               0\n",
       "relation           0\n",
       "location       14302\n",
       "locid              0\n",
       "department    444988\n",
       "startdate     545799\n",
       "stopdate       87792\n",
       "addedby            1\n",
       "dateadded          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "connect_remove.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(697713, 14)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "people.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pid                0\n",
       "firstname        407\n",
       "middlename    311022\n",
       "lastname         363\n",
       "degrees       250940\n",
       "location        8988\n",
       "locid             14\n",
       "area          114375\n",
       "majorarea          0\n",
       "award         696975\n",
       "orcid_id      697017\n",
       "homepage      659445\n",
       "addedby            0\n",
       "dateadded          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "people.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['cid', 'pid1', 'pid2', 'relation', 'location', 'locid', 'department',\n",
       "       'startdate', 'stopdate', 'addedby', 'dateadded'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "connect.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "conn_undergrad=connect[connect['relation']==0]\n",
    "conn_grad=connect[connect['relation']==1]\n",
    "conn_postdoc=connect[connect['relation']==2]\n",
    "conn_rs=connect[connect['relation']==3]\n",
    "conn_collab=connect[connect['relation']==4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "index1=['Under_grad','Grad','Postdoc','RS','Collab.']\n",
    "conn_list=[len(conn_undergrad),len(conn_grad),len(conn_postdoc),len(conn_rs),len(conn_collab)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(6,5))\n",
    "plt.bar(index1, conn_list)\n",
    "plt.xlabel('Mentorship relations', fontsize=10)\n",
    "plt.ylabel('No. of Connection', fontsize=10)\n",
    "plt.title('Mentorship distribution across different relations')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing mentor informtaion i.e pid2==0\n",
      "711129\n",
      "7\n",
      "0\n",
      "0\n",
      "0\n"
     ]
    }
   ],
   "source": [
    "print('Missing mentor informtaion i.e pid2==0')\n",
    "print(conn_undergrad[conn_undergrad['pid2']==0].shape[0])\n",
    "print(conn_grad[conn_grad['pid2']==0].shape[0])\n",
    "print(conn_postdoc[conn_postdoc['pid2']==0].shape[0])\n",
    "print(conn_rs[conn_rs['pid2']==0].shape[0])\n",
    "print(conn_collab[conn_collab['pid2']==0].shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[724576, 554283, 46664, 4614, 12272]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conn_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "G=nx.from_pandas_edgelist(connect_remove, 'pid1', 'pid2',create_using=nx.DiGraph())\n",
    "G.add_nodes_from(nodes_for_adding=people['pid'].tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaIAAAEWCAYAAAAkUJMMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAbCUlEQVR4nO3de7hddX3n8fdHELRyh8gAoUZr2oqdqniEeGnHqgMBbUNbS7E+JaXUaNVOHXsRx45YbefRmY5aWsWiMEKrXNRaogPGFJnepiAnFEHQliOFIRFISrh4aVXwO3+s35Ht8dySk33WTs779Tz72Wv91m+t32+t7LM/WZe9VqoKSZL68qi+OyBJWtoMIklSrwwiSVKvDCJJUq8MIklSrwwiSVKvDCJpN5Lkq0me1Hc/pF3JINIeI8ntSf41yVeS3J/k/yZ5VZLd4nOepJI8eUrZW5L82eR4Ve1XVbfNsZznJ9k8rH5Ku9pu8Qcq7YCfrKr9gScAbwfeAJw/jIaS7DWM5Y66pbreGh6DSHukqnqgqtYDPw+sTfIjAEn2TfIHSf5fknuSvC/JYyfnS/LbSe5K8uUkvzK4l5Lkg0nOTXJFkq8BPzGP5b0kyQ0De2g/upD1mtKfk5Pc0vYAtyT5zSSPA64EjmyH8b6a5MjWz3e39fpyG953Aev94iT/kOTBJHcmecvAsla0+c9o0+5re6bPSnJj2xZ/vJDtoD2LQaQ9WlV9FtgM/Fgrejvwg8DTgScDRwFvBkiyGng98KI27fnTLPIXgN8H9gf+do7lPQO4AHglcCjwJ8D6wQBYoPOBV7Y9wB8BPlNVXwNOAr7cDuPtV1VfBt4ErGr9fBpwHPA7C1jvrwGnAwcBLwZ+NckpU+Y5HlhJ95+Bd7c+vAh4KnBqkv+wC7aB9gAGkZaCLwOHJAmwDvjPVbW9qr4C/DfgtFbvVOB/VdXNVfV14C3TLOvyqvq7qvo28I05lrcO+JOquraqHq6qC9s8q2bp6/Vtj+H+JPcDZ81S91vAMUkOqKr7qur6Weq+HHhrVW2tqm3A7wK/uDPrXVX/VlX/p6puauM3AhcDU4Plba3up+mC6+LW/hbgb4BnzNJfLSEGkZaCo4DtwDLg+4BNA1/0n2rlAEcCdw7Mdyffa7BsruU9AfiNKcFydGtnJsdW1UGTL7o9rpn8LHAycEeSv0ry7FnqHgncMTB+x0A/dnS9SXJ8kquTbEvyAPAq4LAp89wzMPyv04zvN0t/tYQYRNqjJXkWXRD9LfAvdF+ATx34sj+wqia/EO8Clg/MfvQ0ixy8Xf1cy7sT+P3BYKmq76uqi3fFulXVdVW1Bng88BfAZdP0cdKX6YJx0ve3Mtjx9Qb4MLAeOLqqDgTeB2SHVkBqDCLtkZIckOQlwCXAn00eRgLeD7wryeNbvaOSnNhmuww4I8lTknwf8F9na2Mey3s/8Kq295Akj2sn+fffBeu3T5KXJzmwqr4FPAh8u02+Bzg0yYEDs1wM/E6SZUkOozuPNXlZ+A6td7M/sL2q/i3JcXTnkKSdYhBpT/OJJF+h2xt5E/BO4IyB6W8AJoBrkjwI/CXwQwBVdSVwDnD1ZJ02zzdmaW+25Y0DrwD+GLiv1fulBa/hI34RuL21+yq680BU1Rfpgue2dkjwSOD3gHHgRuAm4PpWtrPr/WrgrW1bv5lH9sakHRYfjCdNL8lTgM8D+1bVQ333Z7Es1fVWf9wjkgYk+en2m5uDgXcAn1gKX8ZLdb01Ggwi6bu9EtgKfAl4GPjVfruzaJbqemsEeGhOktQr94gkSb3au+8OjIrDDjusVqxY0Xc3JGm3smnTpn+pqmVz15yZQdSsWLGC8fHxvrshSbuVJHfMXWt2HpqTJPXKIJIk9cogkiT1yiCSJPXKIJIk9cogkiT1yiCSJPXKIJIk9cogkiT1yjsr7KDsxMOQva+sJM1sqHtESW5PclOSG5KMt7JDkmxMcmt7P7iVJ8k5SSaS3Jjk2IHlrG31b02ydqD8mW35E23ezNaGJGn0LMahuZ+oqqdX1VgbPwu4qqpWAle1cYCTgJXttQ44F7pQAc4GjgeOA84eCJZz6R7FPDnf6jnakCSNmD7OEa0BLmzDFwKnDJRfVJ1rgIOSHAGcCGysqu1VdR+wEVjdph1QVddU91Cli6Ysa7o2JEkjZthBVMCnk2xKsq6VHV5Vd7Xhu4HD2/BRwJ0D825uZbOVb56mfLY2vkuSdUnGk4xv27Zth1dOkrRww75Y4XlVtSXJ44GNSb44OLGqKslQT+XP1kZVnQecBzA2NuYlBZLUg6HuEVXVlva+Ffg43Tmee9phNdr71lZ9C3D0wOzLW9ls5cunKWeWNiRJI2ZoQZTkcUn2nxwGTgA+D6wHJq98Wwtc3obXA6e3q+dWAQ+0w2sbgBOSHNwuUjgB2NCmPZhkVbta7vQpy5quDUnSiBnmobnDgY+3K6r3Bj5cVZ9Kch1wWZIzgTuAU1v9K4CTgQng68AZAFW1PcnbgOtavbdW1fY2/Grgg8BjgSvbC+DtM7QhSRoxKX9tCXTniObzqHB/0CpJj0iyaeDnOTvFW/xIknplEEmSemUQSZJ6ZRBJknplEEmSemUQSZJ6ZRBJknplEEmSemUQSZJ6ZRBJknplEEmSemUQSZJ6ZRBJknplEEmSemUQSZJ6ZRBJknplEEmSemUQSZJ6ZRBJknplEEmSemUQSZJ6ZRBJknplEEmSemUQSZJ6ZRBJknplEEmSemUQSZJ6ZRBJknplEEmSemUQSZJ6ZRBJknplEEmSejX0IEqyV5J/SPLJNv7EJNcmmUhyaZJ9Wvm+bXyiTV8xsIw3tvJ/THLiQPnqVjaR5KyB8mnbkCSNnsXYI/p14AsD4+8A3lVVTwbuA85s5WcC97Xyd7V6JDkGOA14KrAaeG8Lt72A9wAnAccAL2t1Z2tDkjRihhpESZYDLwY+0MYDvAD4aKtyIXBKG17TxmnTX9jqrwEuqapvVNU/AxPAce01UVW3VdU3gUuANXO0IUkaMcPeI3o38NvAt9v4ocD9VfVQG98MHNWGjwLuBGjTH2j1v1M+ZZ6Zymdr47skWZdkPMn4tm3bdnYdJUkLMLQgSvISYGtVbRpWGwtVVedV1VhVjS1btqzv7kjSkrT3EJf9XOCnkpwMPAY4APhD4KAke7c9luXAllZ/C3A0sDnJ3sCBwL0D5ZMG55mu/N5Z2pAkjZih7RFV1RuranlVraC72OAzVfVy4Grgpa3aWuDyNry+jdOmf6aqqpWf1q6qeyKwEvgscB2wsl0ht09rY32bZ6Y2JEkjpo/fEb0BeH2SCbrzOee38vOBQ1v564GzAKrqZuAy4BbgU8BrqurhtrfzWmAD3VV5l7W6s7UhSRox6XYgNDY2VuPj43PWS3Z82W5iSXuqJJuqamwhy/DOCpKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXg0tiJI8Jslnk3wuyc1JfreVPzHJtUkmklyaZJ9Wvm8bn2jTVwws642t/B+TnDhQvrqVTSQ5a6B82jYkSaNnmHtE3wBeUFVPA54OrE6yCngH8K6qejJwH3Bmq38mcF8rf1erR5JjgNOApwKrgfcm2SvJXsB7gJOAY4CXtbrM0oYkacQMLYiq89U2+uj2KuAFwEdb+YXAKW14TRunTX9hkrTyS6rqG1X1z8AEcFx7TVTVbVX1TeASYE2bZ6Y2JEkjZqjniNqeyw3AVmAj8CXg/qp6qFXZDBzVho8C7gRo0x8ADh0snzLPTOWHztLG1P6tSzKeZHzbtm0LWVVJ0k6aVxAlee58yqaqqoer6unAcro9mB/e4R4OUVWdV1VjVTW2bNmyvrsjSUvSfPeI/mieZdOqqvuBq4FnAwcl2btNWg5sacNbgKMB2vQDgXsHy6fMM1P5vbO0IUkaMXvPNjHJs4HnAMuSvH5g0gHAXnPMuwz4VlXdn+SxwH+ku4jgauCldOd01gKXt1nWt/G/b9M/U1WVZD3w4STvBI4EVgKfBQKsTPJEuqA5DfiFNs9MbUiSRsysQQTsA+zX6u0/UP4g3Rf9bI4ALmxXtz0KuKyqPpnkFuCSJL8H/ANwfqt/PvCnSSaA7XTBQlXdnOQy4BbgIeA1VfUwQJLXAhvoQvGCqrq5LesNM7QhSRoxqaq5KyVPqKo7FqE/vRkbG6vx8fE56yU7vux5bGJJ2i0l2VRVYwtZxlx7RJP2TXIesGJwnqp6wUIalyRpvkH0EeB9wAeAh4fXHUnSUjPfIHqoqs4dak8kSUvSfC/f/kSSVyc5Iskhk6+h9kyStCTMd49obXv/rYGyAp60a7sjSVpq5hVEVfXEYXdEkrQ0zSuIkpw+XXlVXbRruyNJWmrme2juWQPDjwFeCFwPGESSpAWZ76G5XxscT3IQ3e1zJElakJ19DMTXAM8bSZIWbL7niD5Bd5UcdPd1ewpw2bA6JUlaOuZ7jugPBoYfAu6oqs1D6I8kaYmZ16G5qvor4It0d+A+GPjmMDslSVo65vuE1lPpngH0c8CpwLVJ5noMhCRJc5rvobk3Ac+qqq3wnYfe/SXw0WF1TJK0NMz3qrlHTYZQc+8OzCtJ0ozmu0f0qSQbgIvb+M8DVwynS5KkpWTWIEryZODwqvqtJD8DPK9N+nvgQ8PunCRpzzfXHtG7gTcCVNWfA38OkOTft2k/OdTeSZL2eHOd5zm8qm6aWtjKVgylR5KkJWWuIDpolmmP3ZUdkSQtTXMF0XiSV0wtTPIrwKbhdEmStJTMdY7odcDHk7ycR4JnDNgH+OlhdkyStDTMGkRVdQ/wnCQ/AfxIK/7fVfWZofdMkrQkzPd5RFcDVw+5L5KkJci7I0iSemUQSZJ6ZRBJknplEEmSemUQSZJ6ZRBJknplEEmSejW0IEpydJKrk9yS5OYkv97KD0myMcmt7f3gVp4k5ySZSHJjkmMHlrW21b81ydqB8mcmuanNc06SzNaGJGn0DHOP6CHgN6rqGGAV8JokxwBnAVdV1UrgqjYOcBKwsr3WAedCFyrA2cDxwHHA2QPBci7wioH5VrfymdqQJI2YoQVRVd1VVde34a8AXwCOAtYAF7ZqFwKntOE1wEXVuQY4KMkRwInAxqraXlX3ARuB1W3aAVV1TVUVcNGUZU3XhiRpxCzKOaIkK4BnANfSPePorjbpbuDwNnwUcOfAbJtb2Wzlm6cpZ5Y2pvZrXZLxJOPbtm3b8RWTJC3Y0IMoyX7Ax4DXVdWDg9PankwNs/3Z2qiq86pqrKrGli1bNsxuSJJmMNQgSvJouhD6UHvUOMA97bAa7X1rK98CHD0w+/JWNlv58mnKZ2tDkjRihnnVXIDzgS9U1TsHJq0HJq98WwtcPlB+ert6bhXwQDu8tgE4IcnB7SKFE4ANbdqDSVa1tk6fsqzp2pAkjZh5PQZiJz0X+EXgpiQ3tLL/ArwduCzJmcAdwKlt2hXAycAE8HXgDICq2p7kbcB1rd5bq2p7G3418EG6x5Zf2V7M0oYkacSkO4WisbGxGh8fn7Ne90ulHeMmlrSnSrKpqsYWsgzvrCBJ6pVBJEnqlUEkSeqVQSRJ6pVBJEnqlUEkSeqVQSRJ6pVBJEnqlUEkSeqVQSRJ6pVBJEnqlUEkSeqVQSRJ6pVBJEnqlUEkSeqVQSRJ6pVBJEnq1TAfFb5b2bRp5qev+oRVSRoe94gkSb0yiCRJvTKIJEm9MogkSb0yiCRJvTKIJEm9MogkSb0yiCRJvTKIJEm9MogkSb0yiCRJvTKIJEm9MogkSb0aWhAluSDJ1iSfHyg7JMnGJLe294NbeZKck2QiyY1Jjh2YZ22rf2uStQPlz0xyU5vnnKS7d/ZMbUiSRtMw94g+CKyeUnYWcFVVrQSuauMAJwEr22sdcC50oQKcDRwPHAecPRAs5wKvGJhv9RxtSJJG0NCCqKr+Gtg+pXgNcGEbvhA4ZaD8oupcAxyU5AjgRGBjVW2vqvuAjcDqNu2Aqrqmqgq4aMqypmtDkjSCFvsc0eFVdVcbvhs4vA0fBdw5UG9zK5utfPM05bO18T2SrEsynmQctu3E6kiSFqq3ixXansxQn306VxtVdV5VjVXVGCwbZlckSTNY7CC6px1Wo71vbeVbgKMH6i1vZbOVL5+mfLY2JEkjaLGDaD0weeXbWuDygfLT29Vzq4AH2uG1DcAJSQ5uFymcAGxo0x5MsqpdLXf6lGVN14YkaQTtPawFJ7kYeD5wWJLNdFe/vR24LMmZwB3Aqa36FcDJwATwdeAMgKranuRtwHWt3luravICiFfTXZn3WODK9mKWNiRJIyjdaRQlYwXj004b3ETdr5V2jJtY0p4qyabuPPvO884KkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF4ZRJKkXhlEkqReGUSSpF7t3XcHlqJkx+ep2vX9kKRR4B6RJKlXBpEkqVcGkSSpVwaRJKlXBpEkqVcGkSSpVwaRJKlX/o5oN7Qzv0MCf4skaTTtsXtESVYn+cckE0nO6rs/kqTp7ZFBlGQv4D3AScAxwMuSHNNvr0ZLsuMvSRqGPTKIgOOAiaq6raq+CVwCrOm5T3scw0zSrrCnniM6CrhzYHwzcPzUSknWAeva6Dcgn59uYQv9At0VX8ADyzgM+Jc++rGD80/bzxELo53elovMfu5a9nPX+qGFLmBPDaJ5qarzgPMAkoxX1VjPXZqT/dx1doc+gv3c1eznrpVkfKHL2FMPzW0Bjh4YX97KJEkjZk8NouuAlUmemGQf4DRgfc99kiRNY488NFdVDyV5LbAB2Au4oKpunmO284bfs13Cfu46u0MfwX7uavZz11pwP1P+ylGS1KM99dCcJGk3YRBJknq15IJorlv/JNk3yaVt+rVJVixy/45OcnWSW5LcnOTXp6nz/CQPJLmhvd68mH0c6MftSW5qffieSzjTOadtyxuTHNtDH39oYDvdkOTBJK+bUqeX7ZnkgiRbk0d+v5bkkCQbk9za3g+eYd61rc6tSdb20M//keSL7d/140kOmmHeWT8ji9DPtyTZMvBve/IM8y7aLcFm6OelA328PckNM8y7KNtzpu+hoX0+q2rJvOguXPgS8CRgH+BzwDFT6rwaeF8bPg24dJH7eARwbBveH/inafr4fOCTI7A9bwcOm2X6ycCVQIBVwLUj8O9/N/CEUdiewI8DxwKfHyj778BZbfgs4B3TzHcIcFt7P7gNH7zI/TwB2LsNv2O6fs7nM7II/XwL8Jvz+FzM+r0w7H5Omf4/gTf3uT1n+h4a1udzqe0RzefWP2uAC9vwR4EXJot3P4Cququqrm/DXwG+QHeniN3RGuCi6lwDHJTkiB7780LgS1V1R499+I6q+mtg+5Tiwc/fhcAp08x6IrCxqrZX1X3ARmD1Yvazqj5dVQ+10WvofqvXqxm253ws6i3BZutn+645Fbh4WO3PxyzfQ0P5fC61IJru1j9Tv+S/U6f9oT0AHLoovZuiHRZ8BnDtNJOfneRzSa5M8tRF7dgjCvh0kk3tdklTzWd7L6bTmPkPfBS2J8DhVXVXG74bOHyaOqO2XX+Zbs93OnN9RhbDa9shxAtmOJQ0Stvzx4B7qurWGaYv+vac8j00lM/nUgui3UaS/YCPAa+rqgenTL6e7vDS04A/Av5isfvXPK+qjqW7y/lrkvx4T/2YU7ofNv8U8JFpJo/K9vwu1R3nGOnfVyR5E/AQ8KEZqvT9GTkX+AHg6cBddIe9RtnLmH1vaFG352zfQ7vy87nUgmg+t/75Tp0kewMHAvcuSu+aJI+m+8f/UFX9+dTpVfVgVX21DV8BPDrJYYvZx9b2lva+Ffg43SGOQaN0q6WTgOur6p6pE0Zlezb3TB6+bO9bp6kzEts1yS8BLwFe3r6Uvsc8PiNDVVX3VNXDVfVt4P0ztD8q23Nv4GeAS2eqs5jbc4bvoaF8PpdaEM3n1j/rgcmrPF4KfGamP7JhaMeIzwe+UFXvnKHOv5s8b5XkOLp/x8UOy8cl2X9ymO7k9dS7l68HTk9nFfDAwG79Ypvxf5qjsD0HDH7+1gKXT1NnA3BCkoPboaYTWtmiSbIa+G3gp6rq6zPUmc9nZKimnJP86RnaH5Vbgr0I+GJVbZ5u4mJuz1m+h4bz+Rz21Rej9qK7kuuf6K6SeVMreyvdHxTAY+gO30wAnwWetMj9ex7d7u6NwA3tdTLwKuBVrc5rgZvpru65BnhOD9vxSa39z7W+TG7LwX6G7gGFXwJuAsZ6+jd/HF2wHDhQ1vv2pAvGu4Bv0R1HP5PufORVwK3AXwKHtLpjwAcG5v3l9hmdAM7ooZ8TdOcBJj+jk1eaHglcMdtnZJH7+afts3cj3ZfoEVP72ca/53thMfvZyj84+ZkcqNvL9pzle2gon09v8SNJ6tVSOzQnSRoxBpEkqVcGkSSpVwaRJKlXBpEkqVd75BNapVGR5GG6y4cfTXcHgouAd1X3A0tJGETSsP1rVT0dIMnjgQ8DBwBnL3TBSfaqqocXuhypbx6akxZJdbdlWUd3E84k2Svdc32uazflfCVAkkcleW+65/1sTHJFkpe2abcneUeS64GfS/IDST7VboL5N0l+uNVbluRjbdnXJXlubysuzcE9ImkRVdVtSfYCHk93S/0HqupZSfYF/i7Jp4FnAivonv/yeLpb8F8wsJh7q7vxJUmuovs1/q1JjgfeC7wA+EO6Q4B/m+T76W6x8pRFWUlpBxlEUn9OAH50cm+H7ga7K+lur/KRdh7p7iRXT5nvUvjOnZGfA3xk4JFZ+7b3FwHHDJQfkGS/ajd3lUaJQSQtoiRPAh6mu2txgF+rqg1T6kz7OOsBX2vvjwLunzwHNcWjgFVV9W8L7LI0dJ4jkhZJkmXA+4A/ru4mjxuAX2232yfJD7a7Kv8d8LPtXNHhdI8y/x7VPR/mn5P8XJs/SZ7WJn8a+LWBtqcLK2kkuEckDddjk9zAI5dv/ykweVv9D9CdC7q+3XZ/G92jlz9G91jzW+jucH093ZOCp/Ny4Nwkv9PauITu7sz/CXhPkhvp/s7/mu6O49LI8e7b0giaPJ+T5FC6x5E8t6ru7rtf0jC4RySNpk8mOQjYB3ibIaQ9mXtEkqReebGCJKlXBpEkqVcGkSSpVwaRJKlXBpEkqVf/H7jnh88pZBbmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "degree_sequence = sorted([d for n, d in G.out_degree()], reverse=True)  # degree sequence\n",
    "degreeCount = collections.Counter(degree_sequence)\n",
    "deg, cnt = zip(*degreeCount.items())\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "plt.bar(deg, cnt, color='b')\n",
    "plt.title(\"Degree Histogram\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.xlabel(\"Degree\")\n",
    "#plt.ylim(0,20000)\n",
    "plt.xlim(0,20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub_keyword=['computerscience','neuro','math','physiology','robotics','chemistry','physics','ling','meteorology','astronomy']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(21313, 14)\n",
      "(121849, 14)\n",
      "(34648, 14)\n",
      "(983, 14)\n",
      "(3472, 14)\n",
      "(83849, 14)\n",
      "(40437, 14)\n",
      "(12192, 14)\n",
      "(3091, 14)\n",
      "(4125, 14)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x1080 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#fig, ax = plt.subplots(nrows=2, ncols=2)\n",
    "fig = plt.figure(figsize=(16,15))\n",
    "nrows=2\n",
    "ncols=2\n",
    "col=0\n",
    "row=0\n",
    "for x,i in enumerate(sub_keyword):\n",
    "    people1=people[people['majorarea'].str.contains(i)]\n",
    "    print(people1.shape)\n",
    "    pid=people1['pid']\n",
    "    conn=connect_remove[(connect_remove['pid1'].isin(pid.values))|(connect_remove['pid2'].isin(pid.values))]\n",
    "    con_uni_pid=pd.unique(conn[['pid1', 'pid2']].values.ravel('K'))\n",
    "    people_mod=people[people['pid'].isin(con_uni_pid)]\n",
    "    G1=nx.from_pandas_edgelist(conn, 'pid1', 'pid2',create_using=nx.DiGraph())\n",
    "    G1.add_nodes_from(nodes_for_adding=people_mod['pid'].tolist())\n",
    "    deg_sequence = sorted([d for n, d in G1.out_degree()], reverse=True)  # degree sequence\n",
    "    degreeCount = collections.Counter(deg_sequence)\n",
    "    deg, cnt = zip(*degreeCount.items())\n",
    "    plt.subplot(4, 3, x+1)\n",
    "    plt.plot(deg, cnt, color='b')\n",
    "    plt.title(i)\n",
    "    plt.xlim(0,20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a=connect_remove[connect_remove['pid2']==2].sort_values(by=['startdate', 'stopdate'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "connect_remove=connect[~(connect['pid2']==0)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dhananjay/genealogy/.env/lib/python3.6/site-packages/pandas/core/generic.py:6287: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._update_inplace(new_data)\n"
     ]
    }
   ],
   "source": [
    "connect_remove['startdate'].fillna('0000', inplace=True)\n",
    "connect_remove['stopdate'].fillna('0000', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "date_att=['startdate','stopdate']\n",
    "date_att_add=['startdate_year','stopdate_year']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dhananjay/genealogy/.env/lib/python3.6/site-packages/pandas/core/frame.py:3509: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self[k1] = value[k2]\n"
     ]
    }
   ],
   "source": [
    "connect_remove[date_att]=connect_remove[date_att].applymap(lambda x : int(x.split('-')[0].strip()) if len(x) > 1 else x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>startdate</th>\n",
       "      <th>stopdate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1998</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2000</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2003</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2002</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>1984</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   startdate  stopdate\n",
       "0       1998      2005\n",
       "1       2000      2005\n",
       "2       2003      2006\n",
       "3       2002      2008\n",
       "4          0      1984"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "connect_remove[['startdate','stopdate']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1ce18fa908>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZAAAAD4CAYAAADCb7BPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAUG0lEQVR4nO3dfYydZZnH8e9ly0uDYAu4E9I227I2MVVWxAnUaMwsxFLQbNkETQlZKtvYZIGsRjZrWZPFlyWBTZBdCOJ2l8ZiWKGLkjYK1i5wYvaPAkWBUljsiCVtAzS2pTgacete+8e5Bw/jmTMzd2c4Z8bvJzk5z7mel/u+5jnw4zznmSEyE0mSJupt3Z6AJGl6MkAkSVUMEElSFQNEklTFAJEkVZnd7QlMttNPPz0XLVpUte8vf/lLTjrppMmdUBfZT++baT3ZT2/r1M8TTzzx88x850SON+MCZNGiRezYsaNq30ajwcDAwOROqIvsp/fNtJ7sp7d16iciXpzo8byEJUmqYoBIkqoYIJKkKgaIJKmKASJJqmKASJKqGCCSpCoGiCSpigEiSaoy434T/Vjs3H+ET6373ls+7p4bP/aWjylJx8pPIJKkKgaIJKmKASJJqmKASJKqGCCSpCoGiCSpigEiSapigEiSqhggkqQqBogkqYoBIkmqYoBIkqoYIJKkKuMKkIjYExE7I+LJiNhRaqdGxLaI2F2e55V6RMStETEYEU9HxDktx1ldtt8dEatb6h8oxx8s+0anMSRJ3TeRTyB/lplnZ2Z/eb0OeCgzlwAPldcAFwFLymMtcAc0wwC4HjgPOBe4viUQ7gA+3bLfijHGkCR12bFcwloJbCzLG4FLWup3ZdN2YG5EnAFcCGzLzEOZeRjYBqwo607JzO2ZmcBdI47VbgxJUpeN938olcAPIiKBf83M9UBfZr5U1r8M9JXl+cDeln33lVqn+r42dTqM8SYRsZbmpx36+vpoNBrjbOvN+ubAtWcdrdr3WNTOdyxDQ0NTduxumGn9wMzryX5622T3M94A+XBm7o+IPwK2RcT/tK7MzCzhMmU6jVECbT1Af39/DgwMVI1x292buXnnW/8/adxz+cCUHLfRaFD7s+hFM60fmHk92U9vm+x+xnUJKzP3l+cDwP00v8N4pVx+ojwfKJvvBxa27L6g1DrVF7Sp02EMSVKXjRkgEXFSRJw8vAwsB54BtgDDd1KtBjaX5S3AFeVurGXAkXIZaiuwPCLmlS/PlwNby7rXImJZufvqihHHajeGJKnLxnO9pg+4v9xZOxv4j8z8fkQ8DmyKiDXAi8Any/YPABcDg8CvgCsBMvNQRHwFeLxs9+XMPFSWrwK+AcwBHiwPgBtHGUOS1GVjBkhmvgC8r039IHBBm3oCV49yrA3Ahjb1HcB7xzuGJKn7/E10SVIVA0SSVMUAkSRVMUAkSVUMEElSFQNEklTFAJEkVTFAJElVDBBJUhUDRJJUxQCRJFUxQCRJVQwQSVIVA0SSVMUAkSRVMUAkSVUMEElSFQNEklTFAJEkVTFAJElVDBBJUhUDRJJUxQCRJFUxQCRJVQwQSVIVA0SSVMUAkSRVMUAkSVUMEElSlXEHSETMiogfR8R3y+vFEfFoRAxGxL0RcXypn1BeD5b1i1qOcV2pPx8RF7bUV5TaYESsa6m3HUOS1H0T+QTyGeC5ltc3Abdk5ruAw8CaUl8DHC71W8p2RMRSYBXwHmAF8LUSSrOA24GLgKXAZWXbTmNIkrpsXAESEQuAjwH/Xl4HcD5wX9lkI3BJWV5ZXlPWX1C2Xwnck5mvZ+bPgEHg3PIYzMwXMvM3wD3AyjHGkCR12exxbvfPwN8BJ5fXpwGvZubR8nofML8szwf2AmTm0Yg4UrafD2xvOWbrPntH1M8bY4w3iYi1wFqAvr4+Go3GONt6s745cO1ZR8fecJLVzncsQ0NDU3bsbphp/cDM68l+ettk9zNmgETEx4EDmflERAxM2siTKDPXA+sB+vv7c2BgoOo4t929mZt3jjdTJ8+eywem5LiNRoPan0Uvmmn9wMzryX5622T3M55/W34I+POIuBg4ETgF+BdgbkTMLp8QFgD7y/b7gYXAvoiYDbwDONhSH9a6T7v6wQ5jSJK6bMzvQDLzusxckJmLaH4J/nBmXg48AlxaNlsNbC7LW8pryvqHMzNLfVW5S2sxsAR4DHgcWFLuuDq+jLGl7DPaGJKkLjuW3wP5PPC5iBik+X3FnaV+J3BaqX8OWAeQmbuATcCzwPeBqzPzt+XTxTXAVpp3eW0q23YaQ5LUZRO64J+ZDaBRll+geQfVyG1+DXxilP1vAG5oU38AeKBNve0YkqTu8zfRJUlVDBBJUhUDRJJUxQCRJFUxQCRJVQwQSVIVA0SSVMUAkSRVMUAkSVUMEElSFQNEklTFAJEkVTFAJElVDBBJUhUDRJJUxQCRJFUxQCRJVQwQSVIVA0SSVMUAkSRVMUAkSVUMEElSFQNEklTFAJEkVTFAJElVDBBJUhUDRJJUxQCRJFUxQCRJVcYMkIg4MSIei4inImJXRHyp1BdHxKMRMRgR90bE8aV+Qnk9WNYvajnWdaX+fERc2FJfUWqDEbGupd52DElS943nE8jrwPmZ+T7gbGBFRCwDbgJuycx3AYeBNWX7NcDhUr+lbEdELAVWAe8BVgBfi4hZETELuB24CFgKXFa2pcMYkqQuGzNAsmmovDyuPBI4H7iv1DcCl5TlleU1Zf0FERGlfk9mvp6ZPwMGgXPLYzAzX8jM3wD3ACvLPqONIUnqstnj2ah8SngCeBfNTws/BV7NzKNlk33A/LI8H9gLkJlHI+IIcFqpb285bOs+e0fUzyv7jDbGyPmtBdYC9PX10Wg0xtPW7+mbA9eedXTsDSdZ7XzHMjQ0NGXH7oaZ1g/MvJ7sp7dNdj/jCpDM/C1wdkTMBe4H3j1pM5gEmbkeWA/Q39+fAwMDVce57e7N3LxzXD+SSbXn8oEpOW6j0aD2Z9GLZlo/MPN6sp/eNtn9TOgurMx8FXgE+CAwNyKG/227ANhflvcDCwHK+ncAB1vrI/YZrX6wwxiSpC4bz11Y7yyfPIiIOcBHgedoBsmlZbPVwOayvKW8pqx/ODOz1FeVu7QWA0uAx4DHgSXljqvjaX7RvqXsM9oYkqQuG8/1mjOAjeV7kLcBmzLzuxHxLHBPRPwj8GPgzrL9ncA3I2IQOEQzEMjMXRGxCXgWOApcXS6NERHXAFuBWcCGzNxVjvX5UcaQJHXZmAGSmU8D729Tf4HmHVQj678GPjHKsW4AbmhTfwB4YLxjSJK6z99ElyRVMUAkSVUMEElSFQNEklTFAJEkVTFAJElVDBBJUhUDRJJUxQCRJFUxQCRJVQwQSVIVA0SSVMUAkSRVMUAkSVUMEElSFQNEklTFAJEkVTFAJElVDBBJUhUDRJJUxQCRJFUxQCRJVQwQSVIVA0SSVMUAkSRVMUAkSVUMEElSFQNEklTFAJEkVRkzQCJiYUQ8EhHPRsSuiPhMqZ8aEdsiYnd5nlfqERG3RsRgRDwdEee0HGt12X53RKxuqX8gInaWfW6NiOg0hiSp+8bzCeQocG1mLgWWAVdHxFJgHfBQZi4BHiqvAS4ClpTHWuAOaIYBcD1wHnAucH1LINwBfLplvxWlPtoYkqQuGzNAMvOlzPxRWf4F8BwwH1gJbCybbQQuKcsrgbuyaTswNyLOAC4EtmXmocw8DGwDVpR1p2Tm9sxM4K4Rx2o3hiSpy2ZPZOOIWAS8H3gU6MvMl8qql4G+sjwf2Nuy275S61Tf16ZOhzFGzmstzU879PX10Wg0JtLWG/rmwLVnHa3a91jUzncsQ0NDU3bsbphp/cDM68l+ettk9zPuAImItwPfBj6bma+VrykAyMyMiJy0WbXRaYzMXA+sB+jv78+BgYGqMW67ezM375xQpk6KPZcPTMlxG40GtT+LXjTT+oGZ15P99LbJ7mdcd2FFxHE0w+PuzPxOKb9SLj9Rng+U+n5gYcvuC0qtU31Bm3qnMSRJXTaeu7ACuBN4LjO/2rJqCzB8J9VqYHNL/YpyN9Yy4Ei5DLUVWB4R88qX58uBrWXdaxGxrIx1xYhjtRtDktRl47le8yHgL4GdEfFkqf09cCOwKSLWAC8CnyzrHgAuBgaBXwFXAmTmoYj4CvB42e7LmXmoLF8FfAOYAzxYHnQYQ5LUZWMGSGb+NxCjrL6gzfYJXD3KsTYAG9rUdwDvbVM/2G4MSVL3+ZvokqQqBogkqYoBIkmqYoBIkqoYIJKkKgaIJKmKASJJqmKASJKqGCCSpCoGiCSpigEiSapigEiSqhggkqQqBogkqYoBIkmqYoBIkqoYIJKkKgaIJKmKASJJqmKASJKqGCCSpCoGiCSpigEiSapigEiSqhggkqQqBogkqYoBIkmqYoBIkqoYIJKkKmMGSERsiIgDEfFMS+3UiNgWEbvL87xSj4i4NSIGI+LpiDinZZ/VZfvdEbG6pf6BiNhZ9rk1IqLTGJKk3jCeTyDfAFaMqK0DHsrMJcBD5TXARcCS8lgL3AHNMACuB84DzgWubwmEO4BPt+y3YowxJEk9YMwAycwfAodGlFcCG8vyRuCSlvpd2bQdmBsRZwAXAtsy81BmHga2ASvKulMyc3tmJnDXiGO1G0OS1ANmV+7Xl5kvleWXgb6yPB/Y27LdvlLrVN/Xpt5pjN8TEWtpfuKhr6+PRqMxwXbKgHPg2rOOVu17LGrnO5ahoaEpO3Y3zLR+YOb1ZD+9bbL7qQ2QN2RmRkROxmRqx8jM9cB6gP7+/hwYGKga57a7N3PzzmP+kUzYnssHpuS4jUaD2p9FL5pp/cDM68l+ettk91N7F9Yr5fIT5flAqe8HFrZst6DUOtUXtKl3GkOS1ANqA2QLMHwn1Wpgc0v9inI31jLgSLkMtRVYHhHzypfny4GtZd1rEbGs3H11xYhjtRtDktQDxrxeExHfAgaA0yNiH827qW4ENkXEGuBF4JNl8weAi4FB4FfAlQCZeSgivgI8Xrb7cmYOfzF/Fc07veYAD5YHHcaQJPWAMQMkMy8bZdUFbbZN4OpRjrMB2NCmvgN4b5v6wXZjSJq4Reu+95aMc+1ZR/lUy1h7bvzYWzKuusPfRJckVTFAJElVDBBJUhUDRJJUxQCRJFUxQCRJVQwQSVIVA0SSVMUAkSRVMUAkSVUMEElSFQNEklTFAJEkVTFAJElVDBBJUhUDRJJUxQCRJFUxQCRJVQwQSVIVA0SSVMUAkSRVMUAkSVUMEElSFQNEklTFAJEkVTFAJElVDBBJUhUDRJJUxQCRJFXp+QCJiBUR8XxEDEbEum7PR5LU1NMBEhGzgNuBi4ClwGURsbS7s5IkQY8HCHAuMJiZL2Tmb4B7gJVdnpMkCZjd7QmMYT6wt+X1PuC8kRtFxFpgbXk5FBHPV453OvDzyn2rxU1Tduiu9DOFZlo/MMN6+psR/Uzhe/utMqPOD537+eOJHqzXA2RcMnM9sP5YjxMROzKzfxKm1BPsp/fNtJ7sp7dNdj+9fglrP7Cw5fWCUpMkdVmvB8jjwJKIWBwRxwOrgC1dnpMkiR6/hJWZRyPiGmArMAvYkJm7pnDIY74M1mPsp/fNtJ7sp7dNaj+RmZN5PEnSH4hev4QlSepRBogkqYoBUkzXP5kSEXsiYmdEPBkRO0rt1IjYFhG7y/O8Uo+IuLX0+HREnNPd2UNEbIiIAxHxTEttwvOPiNVl+90RsbobvZR5tOvnixGxv5yjJyPi4pZ115V+no+IC1vqPfF+jIiFEfFIRDwbEbsi4jOlPi3PUYd+pvM5OjEiHouIp0pPXyr1xRHxaJnfveVGJCLihPJ6sKxf1HKstr2OKjP/4B80v6D/KXAmcDzwFLC02/Ma59z3AKePqP0TsK4srwNuKssXAw8CASwDHu2B+X8EOAd4pnb+wKnAC+V5Xlme10P9fBH42zbbLi3vtROAxeU9OKuX3o/AGcA5Zflk4Cdl3tPyHHXoZzqfowDeXpaPAx4tP/tNwKpS/zrw12X5KuDrZXkVcG+nXjuN7SeQppn2J1NWAhvL8kbgkpb6Xdm0HZgbEWd0Y4LDMvOHwKER5YnO/0JgW2YeyszDwDZgxdTP/veN0s9oVgL3ZObrmfkzYJDme7Fn3o+Z+VJm/qgs/wJ4juZfiJiW56hDP6OZDucoM3OovDyuPBI4H7iv1Eeeo+Fzdx9wQUQEo/c6KgOkqd2fTOn0puolCfwgIp6I5p90AejLzJfK8stAX1meLn1OdP7Toa9ryiWdDcOXe5hm/ZRLHe+n+V+40/4cjegHpvE5iohZEfEkcIBmOP8UeDUzj7aZ3xtzL+uPAKdR0ZMBMv19ODPPofkXi6+OiI+0rszmZ9Npe6/2dJ9/cQfwJ8DZwEvAzd2dzsRFxNuBbwOfzczXWtdNx3PUpp9pfY4y87eZeTbNv9ZxLvDut2JcA6Rp2v7JlMzcX54PAPfTfPO8MnxpqjwfKJtPlz4nOv+e7iszXyn/gP8f8G/87rLAtOgnIo6j+S/buzPzO6U8bc9Ru36m+zkalpmvAo8AH6R5+XD4l8Vb5/fG3Mv6dwAHqejJAGmaln8yJSJOioiTh5eB5cAzNOc+fJfLamBzWd4CXFHulFkGHGm5DNFLJjr/rcDyiJhXLj0sL7WeMOJ7pr+geY6g2c+qclfMYmAJ8Bg99H4s18bvBJ7LzK+2rJqW52i0fqb5OXpnRMwty3OAj9L8bucR4NKy2chzNHzuLgUeLp8iR+t1dN24a6AXHzTvHvkJzWuHX+j2fMY55zNp3jXxFLBreN40r2c+BOwG/gs4NX93t8btpcedQH8P9PAtmpcM/pfmNdc1NfMH/orml36DwJU91s83y3yfLv+QntGy/RdKP88DF/Xa+xH4MM3LU08DT5bHxdP1HHXoZzqfoz8Fflzm/gzwD6V+Js0AGAT+Ezih1E8srwfL+jPH6nW0h3/KRJJUxUtYkqQqBogkqYoBIkmqYoBIkqoYIJKkKgaIJKmKASJJqvL/rBSehH2OODkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "connect_remove['startdate'].hist(bins=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1ce180a0f0>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "connect_remove['stopdate'].hist(bins=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#date_index=connect_remove.set_index('startdate_year')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#date_index.index=pd.to_datetime(date_index.index, errors='raise',unit='ns', yearfirst=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "connect_remove['startdate'].unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 631273 entries, 0 to 1342408\n",
      "Data columns (total 11 columns):\n",
      "cid           631273 non-null int64\n",
      "pid1          631273 non-null int64\n",
      "pid2          631273 non-null int64\n",
      "relation      631273 non-null int64\n",
      "location      616971 non-null object\n",
      "locid         631273 non-null float64\n",
      "department    186285 non-null object\n",
      "startdate     631273 non-null int64\n",
      "stopdate      631273 non-null int64\n",
      "addedby       631272 non-null object\n",
      "dateadded     631273 non-null object\n",
      "dtypes: float64(1), int64(6), object(4)\n",
      "memory usage: 57.8+ MB\n"
     ]
    }
   ],
   "source": [
    "connect_remove.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "mod_connect_remove=connect_remove[connect_remove['startdate']!=0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(85474, 11)"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mod_connect_remove.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "G=nx.from_pandas_edgelist(mod_connect_remove, 'pid1', 'pid2',create_using=nx.DiGraph())\n",
    "degree_sequence1 = sorted([d for n, d in G.out_degree()], reverse=True)  # degree sequence\n",
    "degreeCount1 = collections.Counter(degree_sequence1)\n",
    "deg1, cnt1 = zip(*degreeCount1.items())\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "plt.bar(deg1, cnt1, color='b')\n",
    "plt.title(\"Degree Histogram\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.xlabel(\"Degree\")\n",
    "#plt.ylim(0,20000)\n",
    "plt.xlim(0,20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 20)"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(deg1, cnt1, color='b')\n",
    "plt.title(\"Degree Distribution\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.xlabel(\"Degree\")\n",
    "#plt.ylim(0,20000)\n",
    "plt.xlim(0,20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}