ws353-agreement.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Inter-annotator agreement between the first 13 annotators of WS-353\n",
    "Measured in Kappa and Rho:\n",
    " - against the gold standard which is the mean of all annotators, as described in Hill et al 2014 (footnote 6)\n",
    " - against each other\n",
    " \n",
    " Using Kohen's kappa, which is binary, so I average across pairs of annotators."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from common_imports import *\n",
    "from skll.metrics import kappa\n",
    "from scipy.stats import spearmanr\n",
    "from itertools import combinations\n",
    "\n",
    "sns.timeseries.algo.bootstrap = my_bootstrap\n",
    "sns.categorical.bootstrap = my_bootstrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "columns = 'Word 1,Word 2,Human (mean),1,2,3,4,5,6,7,8,9,10,11,12,13'.split(',')\n",
    "df1 = pd.read_csv('similarity-data/wordsim353/set1.csv')[columns]\n",
    "df2 = pd.read_csv('similarity-data/wordsim353/set2.csv')[columns]\n",
    "df = pd.concat([df1, df2], ignore_index=True)\n",
    "df_gold = pd.read_csv('similarity-data/wordsim353/combined.csv',\n",
    "                     names='w1 w2 sim'.split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mmb28/anaconda3/lib/python3.5/site-packages/ipykernel/__main__.py:3: FutureWarning: convert_objects is deprecated.  Use the data-type specific converters pd.to_datetime, pd.to_timedelta and pd.to_numeric.\n",
      "  app.launch_new_instance()\n",
      "/Users/mmb28/anaconda3/lib/python3.5/site-packages/ipykernel/__main__.py:5: FutureWarning: convert_objects is deprecated.  Use the data-type specific converters pd.to_datetime, pd.to_timedelta and pd.to_numeric.\n"
     ]
    }
   ],
   "source": [
    "# had to remove trailing space from their files to make it parse with pandas\n",
    "marco = pd.read_csv('similarity-data/MEN/agreement/marcos-men-ratings.txt',\n",
    "                   sep='\\t', index_col=[0,1], names=['w1', 'w2', 'sim']).sort_index().convert_objects(convert_numeric=True)\n",
    "elia = pd.read_csv('similarity-data/MEN/agreement/elias-men-ratings.txt',\n",
    "                   sep='\\t', index_col=[0,1], names=['w1', 'w2', 'sim']).sort_index().convert_objects(convert_numeric=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Word 1</th>\n",
       "      <th>Word 2</th>\n",
       "      <th>Human (mean)</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>love</td>\n",
       "      <td>sex</td>\n",
       "      <td>6.77</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tiger</td>\n",
       "      <td>cat</td>\n",
       "      <td>7.35</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>8.5</td>\n",
       "      <td>5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tiger</td>\n",
       "      <td>tiger</td>\n",
       "      <td>10.00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>book</td>\n",
       "      <td>paper</td>\n",
       "      <td>7.46</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>computer</td>\n",
       "      <td>keyboard</td>\n",
       "      <td>7.62</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Word 1    Word 2  Human (mean)     1     2     3   4   5   6     7   8  \\\n",
       "0      love       sex          6.77   9.0   6.0   8.0   8   7   8   8.0   4   \n",
       "1     tiger       cat          7.35   9.0   7.0   8.0   7   8   9   8.5   5   \n",
       "2     tiger     tiger         10.00  10.0  10.0  10.0  10  10  10  10.0  10   \n",
       "3      book     paper          7.46   8.0   8.0   7.0   7   8   9   7.0   6   \n",
       "4  computer  keyboard          7.62   8.0   7.0   9.0   9   8   8   7.0   7   \n",
       "\n",
       "      9    10    11  12  13  \n",
       "0   7.0   2.0   6.0   7   8  \n",
       "1   6.0   9.0   7.0   5   7  \n",
       "2  10.0  10.0  10.0  10  10  \n",
       "3   7.0   8.0   9.0   4   9  \n",
       "4   6.0   8.0  10.0   3   9  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Each index ``i`` returned is such that ``bins[i-1] <= x < bins[i]``\n",
    "def bin(arr, nbins=2, debug=False):\n",
    "    bins = np.linspace(arr.min(), arr.max(), nbins+1)\n",
    "    if debug:\n",
    "        print('bins are', bins)\n",
    "    return np.digitize(arr, bins[1:-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bins are [  1.    2.8   4.6   6.4   8.2  10. ]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([4, 4, 4, 3, 3, 3, 2, 3, 3, 3])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bin(df['1'], nbins=5, debug=True)[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bins are [  0.   5.  10.]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([0, 0, 1, 1, 1])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bin(np.array([0, 2.1, 5.8, 7.9, 10]), debug=True) # 0 and 10 are needed to define the range of values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bins are [  0.           3.33333333   6.66666667  10.        ]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([0, 0, 1, 2, 2])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bin(np.array([0, 2.1, 5.8, 7.9, 10]), nbins=3, debug=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Human (mean)</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>353.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.855864</td>\n",
       "      <td>6.902266</td>\n",
       "      <td>5.867422</td>\n",
       "      <td>6.592068</td>\n",
       "      <td>5.456091</td>\n",
       "      <td>5.671388</td>\n",
       "      <td>6.274788</td>\n",
       "      <td>5.233711</td>\n",
       "      <td>5.980170</td>\n",
       "      <td>5.129178</td>\n",
       "      <td>5.774788</td>\n",
       "      <td>5.637394</td>\n",
       "      <td>5.524079</td>\n",
       "      <td>6.076487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.175478</td>\n",
       "      <td>2.049028</td>\n",
       "      <td>3.048985</td>\n",
       "      <td>2.963681</td>\n",
       "      <td>3.145871</td>\n",
       "      <td>2.094284</td>\n",
       "      <td>2.279071</td>\n",
       "      <td>3.024976</td>\n",
       "      <td>2.711959</td>\n",
       "      <td>2.565632</td>\n",
       "      <td>3.062950</td>\n",
       "      <td>2.698951</td>\n",
       "      <td>2.755184</td>\n",
       "      <td>3.071559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.230000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.380000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.310000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.560000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Human (mean)           1           2           3           4  \\\n",
       "count    353.000000  353.000000  353.000000  353.000000  353.000000   \n",
       "mean       5.855864    6.902266    5.867422    6.592068    5.456091   \n",
       "std        2.175478    2.049028    3.048985    2.963681    3.145871   \n",
       "min        0.230000    1.000000    0.000000    0.000000    0.000000   \n",
       "25%        4.380000    6.000000    4.000000    5.000000    2.000000   \n",
       "50%        6.310000    7.000000    7.000000    8.000000    6.000000   \n",
       "75%        7.560000    8.000000    8.000000    9.000000    8.000000   \n",
       "max       10.000000   10.000000   10.000000   10.000000   10.000000   \n",
       "\n",
       "                5           6           7           8           9          10  \\\n",
       "count  353.000000  353.000000  353.000000  353.000000  353.000000  353.000000   \n",
       "mean     5.671388    6.274788    5.233711    5.980170    5.129178    5.774788   \n",
       "std      2.094284    2.279071    3.024976    2.711959    2.565632    3.062950   \n",
       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      4.000000    5.000000    3.000000    4.000000    3.000000    4.000000   \n",
       "50%      5.000000    7.000000    6.000000    7.000000    6.000000    6.000000   \n",
       "75%      7.000000    8.000000    8.000000    8.000000    7.000000    8.000000   \n",
       "max     10.000000   10.000000   10.000000   10.000000   10.000000   10.000000   \n",
       "\n",
       "               11          12          13  \n",
       "count  353.000000  353.000000  353.000000  \n",
       "mean     5.637394    5.524079    6.076487  \n",
       "std      2.698951    2.755184    3.071559  \n",
       "min      0.000000    0.000000    0.000000  \n",
       "25%      4.000000    3.000000    3.000000  \n",
       "50%      6.000000    6.000000    7.000000  \n",
       "75%      8.000000    8.000000    8.000000  \n",
       "max     10.000000   10.000000   10.000000  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sim</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.564333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.015907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               sim\n",
       "count  3000.000000\n",
       "mean      3.564333\n",
       "std       2.015907\n",
       "min       1.000000\n",
       "25%       1.000000\n",
       "50%       4.000000\n",
       "75%       6.000000\n",
       "max       7.000000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "elia.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# WS353: Kappa against each other/ against mean "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bin_counts = range(2, 6)\n",
    "# pair, bin count, kappa\n",
    "kappas_pair = []\n",
    "for name1, name2 in combinations(range(1,14), 2):\n",
    "    for b in bin_counts:\n",
    "        kappas_pair.append(['%d-%d'%(name1, name2), \n",
    "                       b, \n",
    "                       kappa(bin(df[str(name1)], b), bin(df[str(name2)], b))])\n",
    "\n",
    "kappas_mean = []\n",
    "for name in range(1, 14):\n",
    "    for b in bin_counts:\n",
    "        kappas_mean.append(['%d-m'%name, \n",
    "                       b, \n",
    "                       kappa(bin(df[str(name)], b), bin(df_gold.sim, b))])\n",
    "\n",
    "kappas_men = [] # MEN data set- marco vs elia\n",
    "for b in bin_counts:\n",
    "    kappas_men.append(['marco-elia',\n",
    "                       b,\n",
    "                       kappa(bin(marco.sim.values, b), bin(elia.sim.values, b))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pair</th>\n",
       "      <th>bins</th>\n",
       "      <th>kappa</th>\n",
       "      <th>kind</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1-2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.508072</td>\n",
       "      <td>WS353-P</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1-2</td>\n",
       "      <td>3</td>\n",
       "      <td>0.342261</td>\n",
       "      <td>WS353-P</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1-2</td>\n",
       "      <td>4</td>\n",
       "      <td>0.261647</td>\n",
       "      <td>WS353-P</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  pair  bins     kappa     kind\n",
       "0  1-2     2  0.508072  WS353-P\n",
       "1  1-2     3  0.342261  WS353-P\n",
       "2  1-2     4  0.261647  WS353-P"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kappas1 = pd.DataFrame(kappas_pair, columns=['pair', 'bins', 'kappa'])\n",
    "kappas1['kind'] = 'WS353-P'\n",
    "kappas2 = pd.DataFrame(kappas_mean, columns=['pair', 'bins', 'kappa'])\n",
    "kappas2['kind'] = 'WS353-M'\n",
    "kappas3 = pd.DataFrame(kappas_men, columns=['pair', 'bins', 'kappa'])\n",
    "kappas3['kind'] = 'MEN'\n",
    "kappas = pd.concat([kappas1, kappas2, kappas3], ignore_index=True)\n",
    "kappas.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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QDvsRpK9ftexSbiVUL+Y2aGBp7EZv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si8H6VuLa85gev4zJ8UuYHr8Mz4mnCvDzyGoCxf4D6B04iL6BQVg5VgUSEa2VKIrQaDbhuAFC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\nAAAAaCBIBwAAAACABv8f/GGumBP+Wr0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10454f9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.color_palette(\"cubehelix\", 3):\n",
    "    ax = sns.tsplot(kappas, time='bins', unit='pair', condition='kind', value='kappa', \n",
    "               marker='s', linewidth=4);\n",
    "\n",
    "sparsify_axis_labels_old(ax)\n",
    "ax.set_xlabel('Bins')\n",
    "ax.set_ylabel('Kohen $\\kappa$')\n",
    "ax.set_xticklabels([2, 2, 3, 3, 4, 4, 5, 5])\n",
    "sns.despine()\n",
    "plt.savefig('ws353-kappas.pdf', format='pdf', dpi=300, bbox_inches='tight', pad_inches=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>kappa</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bins</th>\n",
       "      <th>kind</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2</th>\n",
       "      <th>MEN</th>\n",
       "      <td>0.596591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WS353-M</th>\n",
       "      <td>0.621625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WS353-P</th>\n",
       "      <td>0.450057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">3</th>\n",
       "      <th>MEN</th>\n",
       "      <td>0.504816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WS353-M</th>\n",
       "      <td>0.453216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WS353-P</th>\n",
       "      <td>0.323088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">4</th>\n",
       "      <th>MEN</th>\n",
       "      <td>0.412873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WS353-M</th>\n",
       "      <td>0.374521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WS353-P</th>\n",
       "      <td>0.254069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">5</th>\n",
       "      <th>MEN</th>\n",
       "      <td>0.372213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WS353-M</th>\n",
       "      <td>0.285952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WS353-P</th>\n",
       "      <td>0.213695</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 kappa\n",
       "bins kind             \n",
       "2    MEN      0.596591\n",
       "     WS353-M  0.621625\n",
       "     WS353-P  0.450057\n",
       "3    MEN      0.504816\n",
       "     WS353-M  0.453216\n",
       "     WS353-P  0.323088\n",
       "4    MEN      0.412873\n",
       "     WS353-M  0.374521\n",
       "     WS353-P  0.254069\n",
       "5    MEN      0.372213\n",
       "     WS353-M  0.285952\n",
       "     WS353-P  0.213695"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kappas.groupby(['bins', 'kind']).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "rhos_pair = []\n",
    "for name1, name2 in combinations(range(1,14), 2):\n",
    "    rhos_pair.append(spearmanr(bin(df[str(name1)], b), bin(df[str(name2)], b))[0])\n",
    "    \n",
    "rhos_mean = []\n",
    "for name in range(1,14):\n",
    "    rhos_mean.append(spearmanr(bin(df[str(name)], b), bin(df_gold.sim, b))[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.565874935874 0.73582286453\n"
     ]
    },
    {
     "data": {
      "image/png": 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Wmmj1bLzRxjli94M77PvD049m4aKFhSaCDZ9ADQAAAEBTPPj0I3l5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\nWfGxoTtRElh7g1pBTSWoyoK6WCxuLRaL08VicfWdP/5q6kwAAABc2p9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dO9FoJ8wlnO5u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\nKvTIswAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1185ec898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(rhos_pair, label='pairwise');\n",
    "# plt.axvline(np.mean(rhos_pair));\n",
    "\n",
    "sns.distplot(rhos_mean, label='to mean');\n",
    "# plt.axvline(np.mean(rhos_mean), color='g');\n",
    "plt.legend(loc='upper left');\n",
    "plt.savefig('ws353-rhos.pdf', format='pdf', dpi=300, bbox_inches='tight', pad_inches=0.1)\n",
    "print(np.mean(rhos_pair), np.mean(rhos_mean))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The same thing for the MEN dataset\n",
    "Annotations by Marco and Elia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SpearmanrResult(correlation=0.68458381557442416, pvalue=0.0)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spearmanr(marco.sim, elia.sim) # they report .6845"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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sXYezF0NF7e+PHILpH4+UqCrSAwwxBIAhRl8YVCfExCai83OjRaMw40e+gu6d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\nDw96AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1186417b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "men = pd.DataFrame({'marco':marco.sim.values, 'elia':elia.sim.values})\n",
    "sns.jointplot(x='marco', y='elia', data=men, kind='kde', space=0).set_axis_labels('Judge 1', 'Judge 2')\n",
    "plt.savefig('jointplot-men.pdf', format='pdf', dpi=300, bbox_inches='tight', pad_inches=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1294\n",
       "1    2299\n",
       "2    2687\n",
       "3    2837\n",
       "4    2928\n",
       "5    2995\n",
       "6    3000\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# difference can reach 6 points, and 10% of all data is more than 2 points aways\n",
    "(men.marco - men.elia).abs().value_counts().cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    3000.000000\n",
       "mean        3.425000\n",
       "std         1.896551\n",
       "min         1.000000\n",
       "25%         1.000000\n",
       "50%         4.000000\n",
       "75%         5.000000\n",
       "max         7.000000\n",
       "Name: marco, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "men.marco.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}