map hypothesis validations.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "pd.set_option('display.multi_sparse', True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20000\n"
     ]
    }
   ],
   "source": [
    "confirmations = pd.DataFrame.from_csv(\"datasets/statements/confirmation.250d.csv\", index_col=[\"method\" , \"sampling\", \"iteration\"], tupleize_cols=True)\n",
    "\n",
    "confirmations = confirmations.drop(\"pages\",1)\n",
    "confirmations = confirmations.drop(\"sentences\",1)\n",
    "\n",
    "print len(confirmations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"3\" halign=\"left\">statements 0</th>\n",
       "      <th colspan=\"3\" halign=\"left\">statements 1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>control</th>\n",
       "      <th>holes</th>\n",
       "      <th>links</th>\n",
       "      <th>control</th>\n",
       "      <th>holes</th>\n",
       "      <th>links</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>method</th>\n",
       "      <th>sampling</th>\n",
       "      <th>iteration</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">cbow</th>\n",
       "      <th rowspan=\"10\" valign=\"top\">10</th>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          statements 0             statements 1            \n",
       "                               control holes links      control holes links\n",
       "method sampling iteration                                                  \n",
       "cbow   10       0                    0     1     1            0     1   1.0\n",
       "                1                    0     2     0            0     2   0.0\n",
       "                2                    0     1     0            0     1   0.0\n",
       "                3                    0     1     3            0     0   1.0\n",
       "                4                    0     2     2            0     1   1.0\n",
       "                5                    0     2     2            0     1   1.0\n",
       "                6                    0     1     2            0     0   1.0\n",
       "                7                    0     2     3            0     1   1.0\n",
       "                8                    0     1     3            0     0   1.0\n",
       "                9                    0     1     1            0     1   1.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmations.columns = pd.MultiIndex.from_product([[\"statements 0\", \"statements 1\"],[\"control\", \"holes\", \"links\"]])\n",
    "# confirmations.reset_index(inplace=True)\n",
    "# confirmations = confirmations.drop(\"iteration\",1)\n",
    "confirmations.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"3\" halign=\"left\">statements 0</th>\n",
       "      <th colspan=\"3\" halign=\"left\">statements 1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>control</th>\n",
       "      <th>holes</th>\n",
       "      <th>links</th>\n",
       "      <th>control</th>\n",
       "      <th>holes</th>\n",
       "      <th>links</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>method</th>\n",
       "      <th>sampling</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">cbow</th>\n",
       "      <th>10</th>\n",
       "      <td>0.003</td>\n",
       "      <td>1.664</td>\n",
       "      <td>1.835</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.891</td>\n",
       "      <td>0.762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.323</td>\n",
       "      <td>2.512</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.373</td>\n",
       "      <td>0.982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.402</td>\n",
       "      <td>2.955</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.444</td>\n",
       "      <td>1.057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.467</td>\n",
       "      <td>3.463</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.483</td>\n",
       "      <td>1.496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.467</td>\n",
       "      <td>3.534</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.492</td>\n",
       "      <td>1.711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.276</td>\n",
       "      <td>3.467</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.320</td>\n",
       "      <td>1.748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.052</td>\n",
       "      <td>3.336</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.161</td>\n",
       "      <td>1.779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>0.000</td>\n",
       "      <td>0.982</td>\n",
       "      <td>3.252</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.097</td>\n",
       "      <td>1.715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.177</td>\n",
       "      <td>3.264</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.207</td>\n",
       "      <td>1.817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.469</td>\n",
       "      <td>3.379</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.480</td>\n",
       "      <td>2.102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">skipgram</th>\n",
       "      <th>10</th>\n",
       "      <td>0.008</td>\n",
       "      <td>1.557</td>\n",
       "      <td>2.437</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.892</td>\n",
       "      <td>1.186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.003</td>\n",
       "      <td>1.545</td>\n",
       "      <td>2.780</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.752</td>\n",
       "      <td>1.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.002</td>\n",
       "      <td>1.542</td>\n",
       "      <td>2.383</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.857</td>\n",
       "      <td>1.513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.713</td>\n",
       "      <td>2.033</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.260</td>\n",
       "      <td>1.766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.733</td>\n",
       "      <td>1.889</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.536</td>\n",
       "      <td>2.056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.540</td>\n",
       "      <td>2.051</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.473</td>\n",
       "      <td>2.328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.448</td>\n",
       "      <td>2.151</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.389</td>\n",
       "      <td>2.478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.431</td>\n",
       "      <td>2.093</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.451</td>\n",
       "      <td>2.558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.460</td>\n",
       "      <td>1.918</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.526</td>\n",
       "      <td>2.484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1.554</td>\n",
       "      <td>1.629</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.646</td>\n",
       "      <td>2.122</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  statements 0               statements 1              \n",
       "                       control  holes  links      control  holes  links\n",
       "method   sampling                                                      \n",
       "cbow     10              0.003  1.664  1.835        0.003  0.891  0.762\n",
       "         20              0.000  1.323  2.512        0.000  0.373  0.982\n",
       "         30              0.000  1.402  2.955        0.000  0.444  1.057\n",
       "         40              0.000  1.467  3.463        0.000  0.483  1.496\n",
       "         50              0.000  1.467  3.534        0.000  0.492  1.711\n",
       "         60              0.000  1.276  3.467        0.000  0.320  1.748\n",
       "         70              0.000  1.052  3.336        0.000  0.161  1.779\n",
       "         80              0.000  0.982  3.252        0.000  0.097  1.715\n",
       "         90              0.000  1.177  3.264        0.000  0.207  1.817\n",
       "         100             0.000  1.469  3.379        0.000  0.480  2.102\n",
       "skipgram 10              0.008  1.557  2.437        0.008  0.892  1.186\n",
       "         20              0.003  1.545  2.780        0.003  0.752  1.503\n",
       "         30              0.002  1.542  2.383        0.002  0.857  1.513\n",
       "         40              0.000  1.713  2.033        0.000  1.260  1.766\n",
       "         50              0.000  1.733  1.889        0.000  1.536  2.056\n",
       "         60              0.000  1.540  2.051        0.000  1.473  2.328\n",
       "         70              0.000  1.448  2.151        0.000  1.389  2.478\n",
       "         80              0.000  1.431  2.093        0.000  1.451  2.558\n",
       "         90              0.000  1.460  1.918        0.000  1.526  2.484\n",
       "         100             0.000  1.554  1.629        0.000  1.646  2.122"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#confirmations.groupby(level=[0,1]).agg([np.mean, np.std])\n",
    "statements_by_samplings = confirmations.groupby(level=[0,1])\n",
    "\n",
    "statements_by_samplings.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c9928d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "statements_by_samplings.mean().loc[\"cbow\"].plot(kind=\"line\", subplots=True, layout=(2,3), figsize=(20,10), sharey=True, yticks=[0,1,2,3,4]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d71e550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "statements_by_samplings.mean().loc[\"skipgram\"].plot(kind=\"line\", subplots=True, layout=(2,3), figsize=(20,10), sharey=True, yticks=[0,1,2,3,4]);"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}