Unity_Index_Github .ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Unity Index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as gridspec\n",
    "from pylab import *\n",
    "import pdb\n",
    "n = 25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "def colores(n):\n",
    "    from random import randint\n",
    "    colors = []\n",
    "    for i in range(n):\n",
    "        colors.append('#%06X' % randint(0, 0xFFFFFF))\n",
    "    return(colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('TopUnity_Data.csv', encoding = 'latin-1', sep=';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "def TopUnity(df,cr_file):\n",
    "    '''\n",
    "    This function calculates the TopUnity indez design/created by Plata C. \n",
    "    The script is written by Casallas A and works like this:\n",
    "    Input the excel or csv file. The file have to contain as columns the Authors names, number of articles,\n",
    "    number of citations and h_index.\n",
    "    The script calculates the TopUnity index and the RaiseInRank, which is return as a new DataFrame and as a \n",
    "    csv file. For information related to the index contact: carlos.plata@tsm-education.fr, and for information of the \n",
    "    code contact: acasalla@ictp.it\n",
    "    '''\n",
    "    top = np.ones([len(df.columns), len(df)])\n",
    "    for i,col in enumerate(df.columns[1:]):\n",
    "        top[i,:] = df[col].rank(method='min', ascending = False)\n",
    "    unity = top[0,:] + top[1,:] + top[2,:]\n",
    "    TopU = pd.DataFrame(np.column_stack((df['Authors'],unity)), columns = ['Authors','Unity'])\n",
    "    uni_sort = TopU['Unity'].rank(method='min', ascending = True)\n",
    "    TopUni = pd.DataFrame(np.column_stack((df['Authors'],df['Articles'],df['LocalCitations'],df['h_index'],\n",
    "                                           top[0,:], top[1,:],top[2,:],unity,uni_sort,top[0,:]-uni_sort)), \n",
    "                          columns = ['Authors','Articles','LocalCitations','h_index',\n",
    "                                     'PointsPublications','PointsCitations','PointsH-Index','UnityIndex','UnityRank','RaiseInRank'])\n",
    "    TopUni = TopUni.sort_values(by=['UnityRank'],ascending=True)\n",
    "    if cr_file == True:\n",
    "        TopUni.to_csv('TopUnity_file.csv', index=False)\n",
    "    return(TopUni)\n",
    "\n",
    "def plot_TopUnity(TopUni,n):\n",
    "    '''\n",
    "    This function calculates the TopUnity indez design/created by Plata C. \n",
    "    The script is written by Casallas A and works like this:\n",
    "    You input the TopUni DataFrame and the number of author to plot.\n",
    "    The output is a scatter plot, where the legend is sort by TopUnity and the \n",
    "    size of the markers is the H-Index.\n",
    "    For information related to the index contact: carlos.plata@tsm-education.fr, \n",
    "    and for information of the code contact: acasalla@ictp.it\n",
    "    '''\n",
    "    colors = colores(n)\n",
    "    xx = TopUni['Articles'][0:n]\n",
    "    yy = TopUni['LocalCitations'][0:n]\n",
    "    s = TopUni['h_index'][0:n]\n",
    "    r = np.array(s)**3 + 400\n",
    "    names = list(TopUni['Authors'][0:n])\n",
    "    plt.figure(figsize=(12,8))\n",
    "    for i,val in enumerate(r):\n",
    "        plt.scatter(np.array(xx)[i],np.array(yy)[i],s=r[i], color = colors[i], \n",
    "                    label = names[i], alpha = 0.5, edgecolor = 'k')\n",
    "    plt.grid(linestyle=':')\n",
    "    plt.xlabel('Number of Articles', fontsize = 12)\n",
    "    plt.ylabel('Number of Citations', fontsize = 12)\n",
    "    plt.yticks(fontsize = 12)\n",
    "    plt.xticks(fontsize = 12)\n",
    "    plt.legend(ncol=1, bbox_to_anchor=(1.12,1.05), loc = 'upper center', frameon = False, fontsize = 12)\n",
    "    #plt.text(40,50,'Quadrant I', fontweight = 'bold')\n",
    "    #plt.text(0,50,'Quadrant II', fontweight = 'bold')\n",
    "    #plt.text(0,10,'Quadrant III', fontweight = 'bold', fontsize = 8)\n",
    "    #plt.text(40,10,'Quadrant IV', fontweight = 'bold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "TopUni = TopUnity(df, True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x22a702f36a0>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = 25\n",
    "plot_TopUnity(TopUni,n)\n",
    "plt.axhline(TopUni['LocalCitations'][0:n].mean(), color = 'k', linestyle = '--')\n",
    "plt.axvline(TopUni['Articles'][0:n].mean(), color = 'k', linestyle = '--')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Raise in Rank Figure\n",
    "dfur= TopUni.sort_values(by='UnityRank', ascending= True)\n",
    "fig = plt.figure(figsize=(6,10))\n",
    "gs = gridspec.GridSpec(1,1, left=0.05, right=0.975, hspace=0.38, wspace=0.26, top=0.9, bottom=0.1)\n",
    "plt.barh(list(dfur['Authors'][0:n]), dfur['RaiseInRank'][0:n], color='k') \n",
    "plt.xlabel('Raise in Rank')\n",
    "plt.yticks(fontsize = 12)\n",
    "plt.xticks(fontsize = 12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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>Authors</th>\n",
       "      <th>Articles</th>\n",
       "      <th>LocalCitations</th>\n",
       "      <th>h_index</th>\n",
       "      <th>PointsPublications</th>\n",
       "      <th>PointsCitations</th>\n",
       "      <th>PointsH-Index</th>\n",
       "      <th>UnityIndex</th>\n",
       "      <th>UnityRank</th>\n",
       "      <th>RaiseInRank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Pellegrino R</td>\n",
       "      <td>7</td>\n",
       "      <td>70</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chan Apc</td>\n",
       "      <td>14</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>53</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Cheung E</td>\n",
       "      <td>7</td>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>52</td>\n",
       "      <td>4</td>\n",
       "      <td>70</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Wang Y</td>\n",
       "      <td>12</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>59</td>\n",
       "      <td>11</td>\n",
       "      <td>73</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Zhang Y</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>50</td>\n",
       "      <td>18</td>\n",
       "      <td>89</td>\n",
       "      <td>5</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Vasconcelos H</td>\n",
       "      <td>5</td>\n",
       "      <td>25</td>\n",
       "      <td>4</td>\n",
       "      <td>34</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>114</td>\n",
       "      <td>6</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Laamanen T</td>\n",
       "      <td>6</td>\n",
       "      <td>21</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>79</td>\n",
       "      <td>18</td>\n",
       "      <td>118</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Li X</td>\n",
       "      <td>6</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>21</td>\n",
       "      <td>87</td>\n",
       "      <td>11</td>\n",
       "      <td>119</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Alexandridis G</td>\n",
       "      <td>4</td>\n",
       "      <td>98</td>\n",
       "      <td>3</td>\n",
       "      <td>59</td>\n",
       "      <td>4</td>\n",
       "      <td>62</td>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Li J</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>124</td>\n",
       "      <td>2</td>\n",
       "      <td>129</td>\n",
       "      <td>10</td>\n",
       "      <td>-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Xie J</td>\n",
       "      <td>4</td>\n",
       "      <td>23</td>\n",
       "      <td>4</td>\n",
       "      <td>59</td>\n",
       "      <td>63</td>\n",
       "      <td>28</td>\n",
       "      <td>150</td>\n",
       "      <td>11</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Zhang J</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>102</td>\n",
       "      <td>28</td>\n",
       "      <td>151</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Ragozzino R</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>124</td>\n",
       "      <td>18</td>\n",
       "      <td>163</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Wang X</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>116</td>\n",
       "      <td>28</td>\n",
       "      <td>165</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Bertrand O</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>34</td>\n",
       "      <td>108</td>\n",
       "      <td>28</td>\n",
       "      <td>170</td>\n",
       "      <td>15</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Brito D</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>3</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>62</td>\n",
       "      <td>180</td>\n",
       "      <td>16</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Na Na</td>\n",
       "      <td>69</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>139</td>\n",
       "      <td>185</td>\n",
       "      <td>17</td>\n",
       "      <td>-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Lamont Bt</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>59</td>\n",
       "      <td>102</td>\n",
       "      <td>28</td>\n",
       "      <td>189</td>\n",
       "      <td>18</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Rouzies A</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>59</td>\n",
       "      <td>102</td>\n",
       "      <td>28</td>\n",
       "      <td>189</td>\n",
       "      <td>18</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Colman Hl</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "      <td>34</td>\n",
       "      <td>139</td>\n",
       "      <td>28</td>\n",
       "      <td>201</td>\n",
       "      <td>20</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Petmezas D</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>34</td>\n",
       "      <td>151</td>\n",
       "      <td>18</td>\n",
       "      <td>203</td>\n",
       "      <td>21</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Meglio O</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>34</td>\n",
       "      <td>108</td>\n",
       "      <td>62</td>\n",
       "      <td>204</td>\n",
       "      <td>22</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Liu Y</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>198</td>\n",
       "      <td>3</td>\n",
       "      <td>207</td>\n",
       "      <td>23</td>\n",
       "      <td>-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Wu Y</td>\n",
       "      <td>5</td>\n",
       "      <td>36</td>\n",
       "      <td>2</td>\n",
       "      <td>34</td>\n",
       "      <td>38</td>\n",
       "      <td>139</td>\n",
       "      <td>211</td>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Li Y</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>198</td>\n",
       "      <td>11</td>\n",
       "      <td>218</td>\n",
       "      <td>25</td>\n",
       "      <td>-16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Authors Articles LocalCitations h_index PointsPublications  \\\n",
       "17    Pellegrino R        7             70       5                 14   \n",
       "1         Chan Apc       14             26      11                  2   \n",
       "13        Cheung E        7             25       7                 14   \n",
       "4           Wang Y       12             24       6                  3   \n",
       "31         Zhang Y        6             26       5                 21   \n",
       "53   Vasconcelos H        5             25       4                 34   \n",
       "21      Laamanen T        6             21       5                 21   \n",
       "22            Li X        6             19       6                 21   \n",
       "59  Alexandridis G        4             98       3                 59   \n",
       "2             Li J       12             15      10                  3   \n",
       "96           Xie J        4             23       4                 59   \n",
       "30         Zhang J        6             18       4                 21   \n",
       "24     Ragozzino R        6             15       5                 21   \n",
       "28          Wang X        6             16       4                 21   \n",
       "35      Bertrand O        5             17       4                 34   \n",
       "60         Brito D        4             24       3                 59   \n",
       "0            Na Na       69             30       2                  1   \n",
       "70       Lamont Bt        4             18       4                 59   \n",
       "83       Rouzies A        4             18       4                 59   \n",
       "38       Colman Hl        5             14       4                 34   \n",
       "52      Petmezas D        5             13       5                 34   \n",
       "50        Meglio O        5             17       3                 34   \n",
       "6            Liu Y       11             11       8                  6   \n",
       "56            Wu Y        5             36       2                 34   \n",
       "9             Li Y        8             11       6                  9   \n",
       "\n",
       "   PointsCitations PointsH-Index UnityIndex UnityRank RaiseInRank  \n",
       "17               5            18         37         1          13  \n",
       "1               50             1         53         2           0  \n",
       "13              52             4         70         3          11  \n",
       "4               59            11         73         4          -1  \n",
       "31              50            18         89         5          16  \n",
       "53              52            28        114         6          28  \n",
       "21              79            18        118         7          14  \n",
       "22              87            11        119         8          13  \n",
       "59               4            62        125         9          50  \n",
       "2              124             2        129        10          -7  \n",
       "96              63            28        150        11          48  \n",
       "30             102            28        151        12           9  \n",
       "24             124            18        163        13           8  \n",
       "28             116            28        165        14           7  \n",
       "35             108            28        170        15          19  \n",
       "60              59            62        180        16          43  \n",
       "0               45           139        185        17         -16  \n",
       "70             102            28        189        18          41  \n",
       "83             102            28        189        18          41  \n",
       "38             139            28        201        20          14  \n",
       "52             151            18        203        21          13  \n",
       "50             108            62        204        22          12  \n",
       "6              198             3        207        23         -17  \n",
       "56              38           139        211        24          10  \n",
       "9              198            11        218        25         -16  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "TopUni1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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