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August 29, 2015 17:43
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 107, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "%matplotlib inline\n", | |
| "from pandas import read_csv\n", | |
| "df = read_csv('new_exp.csv', usecols=[1, 3, 4, 5, 6, 7, 15, 16, 19, 22, 33, 35])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Importing the output file." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 108, | |
| "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>user</th>\n", | |
| " <th>order</th>\n", | |
| " <th>topic</th>\n", | |
| " <th>event</th>\n", | |
| " <th>pages</th>\n", | |
| " <th>doc_count</th>\n", | |
| " <th>query_session</th>\n", | |
| " <th>doc_time</th>\n", | |
| " <th>total_query_delay</th>\n", | |
| " <th>Pat1</th>\n", | |
| " <th>Pat50</th>\n", | |
| " <th>total_rels</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>test2</td>\n", | |
| " <td>3</td>\n", | |
| " <td>354</td>\n", | |
| " <td>740</td>\n", | |
| " <td>1</td>\n", | |
| " <td>1.1</td>\n", | |
| " <td>27.25</td>\n", | |
| " <td>18.39</td>\n", | |
| " <td>0.0.1</td>\n", | |
| " <td>0.0.4</td>\n", | |
| " <td>0.0.15</td>\n", | |
| " <td>376</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>test2</td>\n", | |
| " <td>3</td>\n", | |
| " <td>354</td>\n", | |
| " <td>740</td>\n", | |
| " <td>4</td>\n", | |
| " <td>6.0</td>\n", | |
| " <td>116.67</td>\n", | |
| " <td>27.45</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0.56</td>\n", | |
| " <td>376</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>test2</td>\n", | |
| " <td>3</td>\n", | |
| " <td>354</td>\n", | |
| " <td>740</td>\n", | |
| " <td>2</td>\n", | |
| " <td>8.0</td>\n", | |
| " <td>224.15</td>\n", | |
| " <td>14.32</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.26</td>\n", | |
| " <td>376</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>test2</td>\n", | |
| " <td>3</td>\n", | |
| " <td>354</td>\n", | |
| " <td>740</td>\n", | |
| " <td>2</td>\n", | |
| " <td>5.0</td>\n", | |
| " <td>0.00</td>\n", | |
| " <td>31.20</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0.62</td>\n", | |
| " <td>376</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>test1</td>\n", | |
| " <td>1</td>\n", | |
| " <td>347</td>\n", | |
| " <td>1472</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2.0</td>\n", | |
| " <td>85.74</td>\n", | |
| " <td>71.95</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0.5</td>\n", | |
| " <td>165</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " user order topic event pages doc_count query_session doc_time \\\n", | |
| "0 test2 3 354 740 1 1.1 27.25 18.39 \n", | |
| "1 test2 3 354 740 4 6.0 116.67 27.45 \n", | |
| "2 test2 3 354 740 2 8.0 224.15 14.32 \n", | |
| "3 test2 3 354 740 2 5.0 0.00 31.20 \n", | |
| "4 test1 1 347 1472 1 2.0 85.74 71.95 \n", | |
| "\n", | |
| " total_query_delay Pat1 Pat50 total_rels \n", | |
| "0 0.0.1 0.0.4 0.0.15 376 \n", | |
| "1 0 1 0.56 376 \n", | |
| "2 0 0 0.26 376 \n", | |
| "3 0 1 0.62 376 \n", | |
| "4 0 1 0.5 165 " | |
| ] | |
| }, | |
| "execution_count": 108, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 109, | |
| "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>user</th>\n", | |
| " <th>order</th>\n", | |
| " <th>topic</th>\n", | |
| " <th>event</th>\n", | |
| " <th>pages</th>\n", | |
| " <th>doc_count</th>\n", | |
| " <th>query_session</th>\n", | |
| " <th>doc_time</th>\n", | |
| " <th>total_query_delay</th>\n", | |
| " <th>Pat1</th>\n", | |
| " <th>Pat50</th>\n", | |
| " <th>total_rels</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>test2</td>\n", | |
| " <td>entity</td>\n", | |
| " <td>354</td>\n", | |
| " <td>740</td>\n", | |
| " <td>1</td>\n", | |
| " <td>1.1</td>\n", | |
| " <td>27.25</td>\n", | |
| " <td>18.39</td>\n", | |
| " <td>0.0.1</td>\n", | |
| " <td>0.0.4</td>\n", | |
| " <td>0.0.15</td>\n", | |
| " <td>376</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>test2</td>\n", | |
| " <td>entity</td>\n", | |
| " <td>354</td>\n", | |
| " <td>740</td>\n", | |
| " <td>4</td>\n", | |
| " <td>6.0</td>\n", | |
| " <td>116.67</td>\n", | |
| " <td>27.45</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0.56</td>\n", | |
| " <td>376</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>test2</td>\n", | |
| " <td>entity</td>\n", | |
| " <td>354</td>\n", | |
| " <td>740</td>\n", | |
| " <td>2</td>\n", | |
| " <td>8.0</td>\n", | |
| " <td>224.15</td>\n", | |
| " <td>14.32</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0.26</td>\n", | |
| " <td>376</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>test2</td>\n", | |
| " <td>entity</td>\n", | |
| " <td>354</td>\n", | |
| " <td>740</td>\n", | |
| " <td>2</td>\n", | |
| " <td>5.0</td>\n", | |
| " <td>0.00</td>\n", | |
| " <td>31.20</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0.62</td>\n", | |
| " <td>376</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>test1</td>\n", | |
| " <td>normal</td>\n", | |
| " <td>347</td>\n", | |
| " <td>1472</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2.0</td>\n", | |
| " <td>85.74</td>\n", | |
| " <td>71.95</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0.5</td>\n", | |
| " <td>165</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " user order topic event pages doc_count query_session doc_time \\\n", | |
| "0 test2 entity 354 740 1 1.1 27.25 18.39 \n", | |
| "1 test2 entity 354 740 4 6.0 116.67 27.45 \n", | |
| "2 test2 entity 354 740 2 8.0 224.15 14.32 \n", | |
| "3 test2 entity 354 740 2 5.0 0.00 31.20 \n", | |
| "4 test1 normal 347 1472 1 2.0 85.74 71.95 \n", | |
| "\n", | |
| " total_query_delay Pat1 Pat50 total_rels \n", | |
| "0 0.0.1 0.0.4 0.0.15 376 \n", | |
| "1 0 1 0.56 376 \n", | |
| "2 0 0 0.26 376 \n", | |
| "3 0 1 0.62 376 \n", | |
| "4 0 1 0.5 165 " | |
| ] | |
| }, | |
| "execution_count": 109, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# Replacing order numbers with lables for readability\n", | |
| "df.order = df['order'].replace([0,1,2,3], ['practice', 'normal', 'reduced','entity'])\n", | |
| "df.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 110, | |
| "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>topic</th>\n", | |
| " <th>event</th>\n", | |
| " <th>pages</th>\n", | |
| " <th>doc_count</th>\n", | |
| " <th>query_session</th>\n", | |
| " <th>doc_time</th>\n", | |
| " <th>total_rels</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>order</th>\n", | |
| " <th></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>entity</th>\n", | |
| " <td>354</td>\n", | |
| " <td>1849.909091</td>\n", | |
| " <td>2.606061</td>\n", | |
| " <td>6.609091</td>\n", | |
| " <td>97.476364</td>\n", | |
| " <td>29.620000</td>\n", | |
| " <td>376</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>normal</th>\n", | |
| " <td>347</td>\n", | |
| " <td>964.974359</td>\n", | |
| " <td>1.871795</td>\n", | |
| " <td>5.333333</td>\n", | |
| " <td>116.389231</td>\n", | |
| " <td>43.708462</td>\n", | |
| " <td>165</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>practice</th>\n", | |
| " <td>341</td>\n", | |
| " <td>220.043478</td>\n", | |
| " <td>1.260870</td>\n", | |
| " <td>0.695652</td>\n", | |
| " <td>57.756087</td>\n", | |
| " <td>6.939130</td>\n", | |
| " <td>37</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>reduced</th>\n", | |
| " <td>367</td>\n", | |
| " <td>1816.551724</td>\n", | |
| " <td>2.517241</td>\n", | |
| " <td>5.793103</td>\n", | |
| " <td>147.408621</td>\n", | |
| " <td>27.830345</td>\n", | |
| " <td>95</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " topic event pages doc_count query_session doc_time \\\n", | |
| "order \n", | |
| "entity 354 1849.909091 2.606061 6.609091 97.476364 29.620000 \n", | |
| "normal 347 964.974359 1.871795 5.333333 116.389231 43.708462 \n", | |
| "practice 341 220.043478 1.260870 0.695652 57.756087 6.939130 \n", | |
| "reduced 367 1816.551724 2.517241 5.793103 147.408621 27.830345 \n", | |
| "\n", | |
| " total_rels \n", | |
| "order \n", | |
| "entity 376 \n", | |
| "normal 165 \n", | |
| "practice 37 \n", | |
| "reduced 95 " | |
| ] | |
| }, | |
| "execution_count": 110, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "mean_order = df.groupby(['order']).mean()\n", | |
| "\n", | |
| "mean_order.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 112, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.axes._subplots.AxesSubplot at 0x110a4b390>" | |
| ] | |
| }, | |
| "execution_count": 112, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x110fd4890>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "# TODO Increase y axis\n", | |
| "# turn lables\n", | |
| "# reorder lables\n", | |
| "# change color\n", | |
| "# Histogram of the documents viewed per interface\n", | |
| "mean_order['doc_count'].plot(kind='bar', \n", | |
| " title='Documents viewed per interface')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## working out the serp viewing time for each interface" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 114, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.axes._subplots.AxesSubplot at 0x110e17250>" | |
| ] | |
| }, | |
| "execution_count": 114, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x11096ee50>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "mean_order['query_session'].plot(kind='bar')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "df2 = read_csv('experiment.log', sep=r'\\s+')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 2", | |
| "language": "python", | |
| "name": "python2" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 2 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython2", | |
| "version": "2.7.10" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 0 | |
| } |
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