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naiaden/sentstart.ipynb

Created January 18, 2018 23:49
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sentstart.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"from sklearn import preprocessing\n",
"\n",
"import warnings\n",
"warnings.filterwarnings('ignore')"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {},
"outputs": [],
"source": [
"def srilm_data_reader(file):\n",
" df = pd.DataFrame()\n",
" \n",
" current_context = \"\"\n",
" context_values = []\n",
" words = []\n",
" \n",
" first = True\n",
" \n",
" with open(file, 'r') as f:\n",
" for line in f:\n",
" \n",
" line_split = line.strip().split()\n",
" if len(line_split) == 4:\n",
" c = ' '.join(line_split[0:3])\n",
" if c != current_context:\n",
" if current_context:\n",
" if first:\n",
" df['words'] = pd.Series(words)\n",
" first = False\n",
" df[c] = pd.Series(context_values)\n",
" current_context = c\n",
" context_values = []\n",
" if first:\n",
" words.append(line_split[-1])\n",
" if \"zeroprobs, logprob\" in line:\n",
" context_values.append(10**float(line.split(\" \")[3]))\n",
" df[current_context] = pd.Series(context_values)\n",
" return df"
]
},
{
"cell_type": "code",
"execution_count": 189,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Int64Index: 99562 entries, 1 to 99562\n",
"Data columns (total 7 columns):\n",
"words 99562 non-null object\n",
"<s> <s> \" 99562 non-null float64\n",
"<s> At the 99562 non-null float64\n",
"<s> \" The 99562 non-null float64\n",
"At the targeted 99562 non-null float64\n",
"\" The risk 99562 non-null float64\n",
"<s> <s> <s> 99562 non-null float64\n",
"dtypes: float64(6), object(1)\n",
"memory usage: 6.1+ MB\n"
]
}
],
"source": [
"srilms_values = srilm_data_reader('srilm.out')\n",
"srilms_values.drop(srilms_values[srilms_values['words'] == '<s>'].index, inplace=True)\n",
"srilms_values.info()"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def slm_data_reader(file): # p(<s> |<s> <s> At)\n",
" df = pd.DataFrame()\n",
" \n",
" \n",
" current_context = \"\"\n",
" context_values = []\n",
" words = []\n",
" \n",
" first = True\n",
" with open(file, 'r') as f:\n",
" for line in f:\n",
" wc, p = line.strip().split(\" = \")\n",
" c = wc.split(\" |\")[-1][:-1]\n",
" w = wc.split(\" |\")[0][2:]\n",
" \n",
" \n",
" \n",
" #print(c, current_context, w)\n",
" if current_context != c:\n",
" \n",
" if current_context:\n",
" if first:\n",
" df['words'] = pd.Series(words)\n",
" first = False\n",
" df[c] = pd.Series(context_values)\n",
" current_context = c\n",
" context_values = []\n",
" context_values.append(2**float(p))\n",
" if first:\n",
" words.append(w)\n",
" df[c] = pd.Series(context_values)\n",
" \n",
" #\n",
" return df"
]
},
{
"cell_type": "code",
"execution_count": 190,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Int64Index: 99562 entries, 1 to 99562\n",
"Data columns (total 7 columns):\n",
"words 99562 non-null object\n",
"<s> <s> \" 99562 non-null float64\n",
"<s> At the 99562 non-null float64\n",
"<s> \" The 99562 non-null float64\n",
"At the targeted 99562 non-null float64\n",
"\" The risk 99562 non-null float64\n",
"<s> <s> <s> 99562 non-null float64\n",
"dtypes: float64(6), object(1)\n",
"memory usage: 6.1+ MB\n"
]
}
],
"source": [
"df_n_1 = slm_data_reader('sentcompare-1bw-s0_ngram.probs')\n",
"df_n_2 = slm_data_reader('sentcompare-1bw-s1_ngram.probs')\n",
"df_n_3 = slm_data_reader('sentcompare-1bw-s2_ngram.probs')\n",
"df_n_10 = slm_data_reader('sentcompare-1bw-s10_ngram.probs')\n",
"\n",
"df_n_1.drop(df_n_1[df_n_1['words'] == '<s>'].index, inplace=True)\n",
"df_n_2.drop(df_n_2[df_n_2['words'] == '<s>'].index, inplace=True)\n",
"df_n_3.drop(df_n_3[df_n_3['words'] == '<s>'].index, inplace=True)\n",
"df_n_10.drop(df_n_10[df_n_10['words'] == '<s>'].index, inplace=True)\n",
"\n",
"df_n_1.info()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df_n_1."
]
},
{
"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": []
},
{
"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": 137,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 0.00001\n",
"1 0.00001\n",
"2 0.00001\n",
"3 0.00001\n",
"4 0.00001\n",
"Name: <s> <s> \", dtype: float64"
]
},
"execution_count": 137,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_n_1[r'<s> <s> \"'].head()"
]
},
{
"cell_type": "code",
"execution_count": 191,
"metadata": {
"scrolled": true
},
"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>words</th>\n",
" <th>&lt;s&gt; &lt;s&gt; \"</th>\n",
" <th>&lt;s&gt; At the</th>\n",
" <th>&lt;s&gt; \" The</th>\n",
" <th>At the targeted</th>\n",
" <th>\" The risk</th>\n",
" <th>&lt;s&gt; &lt;s&gt; &lt;s&gt;</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>10791</th>\n",
" <td>Yorkers</td>\n",
" <td>4.100719e-15</td>\n",
" <td>3.296856e-11</td>\n",
" <td>8.217695e-18</td>\n",
" <td>7.385502e-15</td>\n",
" <td>7.547793e-17</td>\n",
" <td>1.221704e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>90594</th>\n",
" <td>Poors</td>\n",
" <td>4.100719e-15</td>\n",
" <td>4.943790e-14</td>\n",
" <td>8.217695e-18</td>\n",
" <td>7.385502e-15</td>\n",
" <td>1.131801e-19</td>\n",
" <td>3.105432e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37011</th>\n",
" <td>Picchu</td>\n",
" <td>4.100719e-15</td>\n",
" <td>3.415655e-08</td>\n",
" <td>8.217695e-18</td>\n",
" <td>7.385502e-15</td>\n",
" <td>1.974377e-16</td>\n",
" <td>3.105432e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97337</th>\n",
" <td>Grammophon</td>\n",
" <td>4.100719e-15</td>\n",
" <td>2.113051e-11</td>\n",
" <td>8.217695e-18</td>\n",
" <td>7.385502e-15</td>\n",
" <td>4.837600e-17</td>\n",
" <td>3.292699e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41842</th>\n",
" <td>Almighty</td>\n",
" <td>4.100719e-15</td>\n",
" <td>4.943790e-14</td>\n",
" <td>2.555230e-14</td>\n",
" <td>1.720481e-11</td>\n",
" <td>1.131801e-19</td>\n",
" <td>3.105432e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31433</th>\n",
" <td>Klux</td>\n",
" <td>4.100719e-15</td>\n",
" <td>1.000364e-07</td>\n",
" <td>8.217695e-18</td>\n",
" <td>7.385502e-15</td>\n",
" <td>1.161315e-16</td>\n",
" <td>3.105432e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25564</th>\n",
" <td>Penh</td>\n",
" <td>4.133329e-15</td>\n",
" <td>1.008324e-08</td>\n",
" <td>8.283045e-18</td>\n",
" <td>7.444234e-15</td>\n",
" <td>1.025817e-16</td>\n",
" <td>3.130127e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49894</th>\n",
" <td>operandi</td>\n",
" <td>4.133329e-15</td>\n",
" <td>9.292873e-12</td>\n",
" <td>8.283045e-18</td>\n",
" <td>7.444234e-15</td>\n",
" <td>2.127453e-17</td>\n",
" <td>3.130127e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>67464</th>\n",
" <td>Metall</td>\n",
" <td>5.468145e-15</td>\n",
" <td>5.394361e-12</td>\n",
" <td>1.095822e-17</td>\n",
" <td>9.848498e-15</td>\n",
" <td>1.234980e-17</td>\n",
" <td>3.292699e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46705</th>\n",
" <td>Dae-jung</td>\n",
" <td>5.468145e-15</td>\n",
" <td>6.592346e-14</td>\n",
" <td>1.095822e-17</td>\n",
" <td>9.848498e-15</td>\n",
" <td>1.509246e-19</td>\n",
" <td>9.661510e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18028</th>\n",
" <td>Ghraib</td>\n",
" <td>5.468145e-15</td>\n",
" <td>6.592346e-14</td>\n",
" <td>1.095822e-17</td>\n",
" <td>9.848498e-15</td>\n",
" <td>1.509246e-19</td>\n",
" <td>3.292699e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32726</th>\n",
" <td>Zedong</td>\n",
" <td>5.468145e-15</td>\n",
" <td>1.873441e-12</td>\n",
" <td>1.095822e-17</td>\n",
" <td>9.848498e-15</td>\n",
" <td>4.288940e-18</td>\n",
" <td>2.337884e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17185</th>\n",
" <td>Pradesh</td>\n",
" <td>5.468145e-15</td>\n",
" <td>8.702499e-08</td>\n",
" <td>1.095822e-17</td>\n",
" <td>9.848498e-15</td>\n",
" <td>5.091433e-16</td>\n",
" <td>2.337884e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73401</th>\n",
" <td>DER</td>\n",
" <td>5.468145e-15</td>\n",
" <td>6.592346e-14</td>\n",
" <td>1.095822e-17</td>\n",
" <td>9.848498e-15</td>\n",
" <td>1.509246e-19</td>\n",
" <td>4.141007e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>77003</th>\n",
" <td>Rohe</td>\n",
" <td>5.468145e-15</td>\n",
" <td>6.592346e-14</td>\n",
" <td>1.095822e-17</td>\n",
" <td>9.848498e-15</td>\n",
" <td>1.509246e-19</td>\n",
" <td>9.661510e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19404</th>\n",
" <td>Lumpur</td>\n",
" <td>5.468145e-15</td>\n",
" <td>3.298527e-11</td>\n",
" <td>1.095822e-17</td>\n",
" <td>9.848498e-15</td>\n",
" <td>7.551618e-17</td>\n",
" <td>4.567610e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28084</th>\n",
" <td>vitro</td>\n",
" <td>5.468145e-15</td>\n",
" <td>1.873441e-12</td>\n",
" <td>1.095822e-17</td>\n",
" <td>9.848498e-15</td>\n",
" <td>4.288940e-18</td>\n",
" <td>4.141007e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91252</th>\n",
" <td>Incredibles</td>\n",
" <td>5.468145e-15</td>\n",
" <td>6.592346e-14</td>\n",
" <td>1.095822e-17</td>\n",
" <td>2.410277e-09</td>\n",
" <td>1.509246e-19</td>\n",
" <td>2.337884e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>83049</th>\n",
" <td>nervosa</td>\n",
" <td>6.835653e-15</td>\n",
" <td>6.058791e-08</td>\n",
" <td>1.369872e-17</td>\n",
" <td>1.231147e-14</td>\n",
" <td>3.465772e-16</td>\n",
" <td>2.337884e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25702</th>\n",
" <td>Gaulle</td>\n",
" <td>6.835653e-15</td>\n",
" <td>1.524439e-11</td>\n",
" <td>1.369872e-17</td>\n",
" <td>1.231147e-14</td>\n",
" <td>3.490037e-17</td>\n",
" <td>1.859157e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76633</th>\n",
" <td>cetera</td>\n",
" <td>6.835653e-15</td>\n",
" <td>1.889905e-12</td>\n",
" <td>1.369872e-17</td>\n",
" <td>1.231147e-14</td>\n",
" <td>4.326732e-18</td>\n",
" <td>9.661510e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6486</th>\n",
" <td>Dhabi</td>\n",
" <td>6.835653e-15</td>\n",
" <td>8.241002e-14</td>\n",
" <td>1.369872e-17</td>\n",
" <td>1.231147e-14</td>\n",
" <td>1.886644e-19</td>\n",
" <td>2.017795e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32428</th>\n",
" <td>Jazeera</td>\n",
" <td>6.835653e-15</td>\n",
" <td>8.241002e-14</td>\n",
" <td>1.369872e-17</td>\n",
" <td>1.231147e-14</td>\n",
" <td>1.886644e-19</td>\n",
" <td>9.661510e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36141</th>\n",
" <td>Islamiyah</td>\n",
" <td>6.835653e-15</td>\n",
" <td>1.013064e-08</td>\n",
" <td>1.369872e-17</td>\n",
" <td>1.231147e-14</td>\n",
" <td>2.110620e-16</td>\n",
" <td>2.337884e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37642</th>\n",
" <td>prophecy</td>\n",
" <td>6.835653e-15</td>\n",
" <td>2.107415e-08</td>\n",
" <td>4.432309e-14</td>\n",
" <td>1.720957e-11</td>\n",
" <td>4.278780e-16</td>\n",
" <td>1.094213e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13445</th>\n",
" <td>Yorker</td>\n",
" <td>6.835653e-15</td>\n",
" <td>5.410906e-12</td>\n",
" <td>1.369872e-17</td>\n",
" <td>1.231147e-14</td>\n",
" <td>1.238740e-17</td>\n",
" <td>9.667229e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43921</th>\n",
" <td>Xiaoping</td>\n",
" <td>6.835653e-15</td>\n",
" <td>8.241002e-14</td>\n",
" <td>1.369872e-17</td>\n",
" <td>1.231147e-14</td>\n",
" <td>1.886644e-19</td>\n",
" <td>9.661510e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11499</th>\n",
" <td>facto</td>\n",
" <td>8.203138e-15</td>\n",
" <td>2.607288e-09</td>\n",
" <td>1.643917e-17</td>\n",
" <td>1.477406e-14</td>\n",
" <td>4.143716e-16</td>\n",
" <td>6.212165e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15644</th>\n",
" <td>Hotspur</td>\n",
" <td>8.203138e-15</td>\n",
" <td>6.052865e-08</td>\n",
" <td>1.643917e-17</td>\n",
" <td>1.477406e-14</td>\n",
" <td>2.111009e-16</td>\n",
" <td>4.567610e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41652</th>\n",
" <td>Shui-bian</td>\n",
" <td>8.203138e-15</td>\n",
" <td>5.427377e-12</td>\n",
" <td>1.643917e-17</td>\n",
" <td>1.477406e-14</td>\n",
" <td>1.242539e-17</td>\n",
" <td>2.337884e-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39369</th>\n",
" <td>Glazers</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39367</th>\n",
" <td>Frequency</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39366</th>\n",
" <td>Forms</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39365</th>\n",
" <td>floppy</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39364</th>\n",
" <td>faceoff</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39389</th>\n",
" <td>simplifying</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39413</th>\n",
" <td>Finchem</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39390</th>\n",
" <td>Soil</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39392</th>\n",
" <td>tablespoons</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39411</th>\n",
" <td>DOE</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39410</th>\n",
" <td>dermatology</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39409</th>\n",
" <td>ct.</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39408</th>\n",
" <td>crows</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39407</th>\n",
" <td>Commodores</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39406</th>\n",
" <td>clobbered</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39405</th>\n",
" <td>cinematography</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39403</th>\n",
" <td>Bryson</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39391</th>\n",
" <td>spurious</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39402</th>\n",
" <td>Bolshoi</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39400</th>\n",
" <td>Adelson</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39399</th>\n",
" <td>145,000</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39398</th>\n",
" <td>whistleblowers</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39397</th>\n",
" <td>Virginians</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39396</th>\n",
" <td>V-6</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39395</th>\n",
" <td>uninterested</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39394</th>\n",
" <td>uninhabited</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39393</th>\n",
" <td>tech-heavy</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39401</th>\n",
" <td>backdating</td>\n",
" <td>3.924813e-08</td>\n",
" <td>1.927898e-03</td>\n",
" <td>3.979101e-10</td>\n",
" <td>3.400095e-06</td>\n",
" <td>1.783939e-11</td>\n",
" <td>2.631007e-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>the</td>\n",
" <td>5.436971e-08</td>\n",
" <td>1.483461e-05</td>\n",
" <td>8.329329e-14</td>\n",
" <td>1.536739e-11</td>\n",
" <td>8.456877e-13</td>\n",
" <td>2.199956e-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>The</td>\n",
" <td>5.882704e-08</td>\n",
" <td>1.120351e-05</td>\n",
" <td>1.026124e-13</td>\n",
" <td>3.983795e-09</td>\n",
" <td>4.757623e-13</td>\n",
" <td>8.469270e-04</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>99562 rows × 7 columns</p>\n",
"</div>"
],
"text/plain": [
" words <s> <s> \" <s> At the <s> \" The \\\n",
"10791 Yorkers 4.100719e-15 3.296856e-11 8.217695e-18 \n",
"90594 Poors 4.100719e-15 4.943790e-14 8.217695e-18 \n",
"37011 Picchu 4.100719e-15 3.415655e-08 8.217695e-18 \n",
"97337 Grammophon 4.100719e-15 2.113051e-11 8.217695e-18 \n",
"41842 Almighty 4.100719e-15 4.943790e-14 2.555230e-14 \n",
"31433 Klux 4.100719e-15 1.000364e-07 8.217695e-18 \n",
"25564 Penh 4.133329e-15 1.008324e-08 8.283045e-18 \n",
"49894 operandi 4.133329e-15 9.292873e-12 8.283045e-18 \n",
"67464 Metall 5.468145e-15 5.394361e-12 1.095822e-17 \n",
"46705 Dae-jung 5.468145e-15 6.592346e-14 1.095822e-17 \n",
"18028 Ghraib 5.468145e-15 6.592346e-14 1.095822e-17 \n",
"32726 Zedong 5.468145e-15 1.873441e-12 1.095822e-17 \n",
"17185 Pradesh 5.468145e-15 8.702499e-08 1.095822e-17 \n",
"73401 DER 5.468145e-15 6.592346e-14 1.095822e-17 \n",
"77003 Rohe 5.468145e-15 6.592346e-14 1.095822e-17 \n",
"19404 Lumpur 5.468145e-15 3.298527e-11 1.095822e-17 \n",
"28084 vitro 5.468145e-15 1.873441e-12 1.095822e-17 \n",
"91252 Incredibles 5.468145e-15 6.592346e-14 1.095822e-17 \n",
"83049 nervosa 6.835653e-15 6.058791e-08 1.369872e-17 \n",
"25702 Gaulle 6.835653e-15 1.524439e-11 1.369872e-17 \n",
"76633 cetera 6.835653e-15 1.889905e-12 1.369872e-17 \n",
"6486 Dhabi 6.835653e-15 8.241002e-14 1.369872e-17 \n",
"32428 Jazeera 6.835653e-15 8.241002e-14 1.369872e-17 \n",
"36141 Islamiyah 6.835653e-15 1.013064e-08 1.369872e-17 \n",
"37642 prophecy 6.835653e-15 2.107415e-08 4.432309e-14 \n",
"13445 Yorker 6.835653e-15 5.410906e-12 1.369872e-17 \n",
"43921 Xiaoping 6.835653e-15 8.241002e-14 1.369872e-17 \n",
"11499 facto 8.203138e-15 2.607288e-09 1.643917e-17 \n",
"15644 Hotspur 8.203138e-15 6.052865e-08 1.643917e-17 \n",
"41652 Shui-bian 8.203138e-15 5.427377e-12 1.643917e-17 \n",
"... ... ... ... ... \n",
"39369 Glazers 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39367 Frequency 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39366 Forms 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39365 floppy 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39364 faceoff 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39389 simplifying 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39413 Finchem 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39390 Soil 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39392 tablespoons 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39411 DOE 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39410 dermatology 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39409 ct. 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39408 crows 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39407 Commodores 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39406 clobbered 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39405 cinematography 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39403 Bryson 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39391 spurious 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39402 Bolshoi 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39400 Adelson 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39399 145,000 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39398 whistleblowers 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39397 Virginians 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39396 V-6 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39395 uninterested 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39394 uninhabited 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39393 tech-heavy 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"39401 backdating 3.924813e-08 1.927898e-03 3.979101e-10 \n",
"1 the 5.436971e-08 1.483461e-05 8.329329e-14 \n",
"16 The 5.882704e-08 1.120351e-05 1.026124e-13 \n",
"\n",
" At the targeted \" The risk <s> <s> <s> \n",
"10791 7.385502e-15 7.547793e-17 1.221704e-07 \n",
"90594 7.385502e-15 1.131801e-19 3.105432e-09 \n",
"37011 7.385502e-15 1.974377e-16 3.105432e-09 \n",
"97337 7.385502e-15 4.837600e-17 3.292699e-08 \n",
"41842 1.720481e-11 1.131801e-19 3.105432e-09 \n",
"31433 7.385502e-15 1.161315e-16 3.105432e-09 \n",
"25564 7.444234e-15 1.025817e-16 3.130127e-09 \n",
"49894 7.444234e-15 2.127453e-17 3.130127e-09 \n",
"67464 9.848498e-15 1.234980e-17 3.292699e-08 \n",
"46705 9.848498e-15 1.509246e-19 9.661510e-09 \n",
"18028 9.848498e-15 1.509246e-19 3.292699e-08 \n",
"32726 9.848498e-15 4.288940e-18 2.337884e-09 \n",
"17185 9.848498e-15 5.091433e-16 2.337884e-09 \n",
"73401 9.848498e-15 1.509246e-19 4.141007e-09 \n",
"77003 9.848498e-15 1.509246e-19 9.661510e-09 \n",
"19404 9.848498e-15 7.551618e-17 4.567610e-08 \n",
"28084 9.848498e-15 4.288940e-18 4.141007e-09 \n",
"91252 2.410277e-09 1.509246e-19 2.337884e-09 \n",
"83049 1.231147e-14 3.465772e-16 2.337884e-09 \n",
"25702 1.231147e-14 3.490037e-17 1.859157e-07 \n",
"76633 1.231147e-14 4.326732e-18 9.661510e-09 \n",
"6486 1.231147e-14 1.886644e-19 2.017795e-08 \n",
"32428 1.231147e-14 1.886644e-19 9.661510e-09 \n",
"36141 1.231147e-14 2.110620e-16 2.337884e-09 \n",
"37642 1.720957e-11 4.278780e-16 1.094213e-07 \n",
"13445 1.231147e-14 1.238740e-17 9.667229e-08 \n",
"43921 1.231147e-14 1.886644e-19 9.661510e-09 \n",
"11499 1.477406e-14 4.143716e-16 6.212165e-09 \n",
"15644 1.477406e-14 2.111009e-16 4.567610e-08 \n",
"41652 1.477406e-14 1.242539e-17 2.337884e-09 \n",
"... ... ... ... \n",
"39369 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39367 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39366 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39365 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39364 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39389 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39413 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39390 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39392 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39411 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39410 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39409 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39408 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39407 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39406 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39405 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39403 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39391 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39402 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39400 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39399 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39398 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39397 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39396 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39395 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39394 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39393 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"39401 3.400095e-06 1.783939e-11 2.631007e-02 \n",
"1 1.536739e-11 8.456877e-13 2.199956e-05 \n",
"16 3.983795e-09 4.757623e-13 8.469270e-04 \n",
"\n",
"[99562 rows x 7 columns]"
]
},
"execution_count": 191,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"srilms_values.sort_values(by=[r'<s> <s> \"'])"
]
},
{
"cell_type": "code",
"execution_count": 193,
"metadata": {
"scrolled": true
},
"outputs": [
{
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" <th>33192</th>\n",
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" <th>33191</th>\n",
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" <th>33190</th>\n",
" <td>clarifying</td>\n",
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" <th>33189</th>\n",
" <td>Brandenburg</td>\n",
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" <th>33188</th>\n",
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" <td>Blunkett</td>\n",
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" <th>33185</th>\n",
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" <td>0.00001</td>\n",
" <td>0.00001</td>\n",
" <td>0.00001</td>\n",
" <td>0.00001</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99562</th>\n",
" <td>Zirkelbach</td>\n",
" <td>0.00001</td>\n",
" <td>0.00001</td>\n",
" <td>0.00001</td>\n",
" <td>0.00001</td>\n",
" <td>0.00001</td>\n",
" <td>0.00001</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>99562 rows × 7 columns</p>\n",
"</div>"
],
"text/plain": [
" words <s> <s> \" <s> At the <s> \" The At the targeted \\\n",
"1 the 0.00001 0.00001 0.00001 0.00001 \n",
"66380 overhanging 0.00001 0.00001 0.00001 0.00001 \n",
"66379 Ophelia 0.00001 0.00001 0.00001 0.00001 \n",
"66378 not-so-subtle 0.00001 0.00001 0.00001 0.00001 \n",
"66377 normalised 0.00001 0.00001 0.00001 0.00001 \n",
"66376 Nickels 0.00001 0.00001 0.00001 0.00001 \n",
"66375 neglects 0.00001 0.00001 0.00001 0.00001 \n",
"66374 NAMA 0.00001 0.00001 0.00001 0.00001 \n",
"66373 Mysteries 0.00001 0.00001 0.00001 0.00001 \n",
"66372 Meditation 0.00001 0.00001 0.00001 0.00001 \n",
"66381 Parades 0.00001 0.00001 0.00001 0.00001 \n",
"66371 MBNA 0.00001 0.00001 0.00001 0.00001 \n",
"66369 MAGIC 0.00001 0.00001 0.00001 0.00001 \n",
"66368 list. 0.00001 0.00001 0.00001 0.00001 \n",
"66367 LAWRENCE 0.00001 0.00001 0.00001 0.00001 \n",
"66366 Kuby 0.00001 0.00001 0.00001 0.00001 \n",
"66365 Kopp 0.00001 0.00001 0.00001 0.00001 \n",
"66364 Kath 0.00001 0.00001 0.00001 0.00001 \n",
"66363 Karol 0.00001 0.00001 0.00001 0.00001 \n",
"66362 Kandinsky 0.00001 0.00001 0.00001 0.00001 \n",
"66361 junkyard 0.00001 0.00001 0.00001 0.00001 \n",
"66370 maiming 0.00001 0.00001 0.00001 0.00001 \n",
"66360 Joneses 0.00001 0.00001 0.00001 0.00001 \n",
"66382 Petri 0.00001 0.00001 0.00001 0.00001 \n",
"66384 Piringer 0.00001 0.00001 0.00001 0.00001 \n",
"66404 Sensor 0.00001 0.00001 0.00001 0.00001 \n",
"66403 Segro 0.00001 0.00001 0.00001 0.00001 \n",
"66402 segregationist 0.00001 0.00001 0.00001 0.00001 \n",
"66401 Saffir-Simpson 0.00001 0.00001 0.00001 0.00001 \n",
"66400 Sacramone 0.00001 0.00001 0.00001 0.00001 \n",
"... ... ... ... ... ... \n",
"33160 1860 0.00001 0.00001 0.00001 0.00001 \n",
"33159 Woking 0.00001 0.00001 0.00001 0.00001 \n",
"33158 wide-eyed 0.00001 0.00001 0.00001 0.00001 \n",
"33167 counterpoint 0.00001 0.00001 0.00001 0.00001 \n",
"33179 rehearsed 0.00001 0.00001 0.00001 0.00001 \n",
"33180 stakeholder 0.00001 0.00001 0.00001 0.00001 \n",
"33181 tweaks 0.00001 0.00001 0.00001 0.00001 \n",
"33202 Sizemore 0.00001 0.00001 0.00001 0.00001 \n",
"33201 riffs 0.00001 0.00001 0.00001 0.00001 \n",
"33200 Quaid 0.00001 0.00001 0.00001 0.00001 \n",
"33199 on-field 0.00001 0.00001 0.00001 0.00001 \n",
"33198 officiating 0.00001 0.00001 0.00001 0.00001 \n",
"33197 morons 0.00001 0.00001 0.00001 0.00001 \n",
"33196 mathematician 0.00001 0.00001 0.00001 0.00001 \n",
"33195 Liukin 0.00001 0.00001 0.00001 0.00001 \n",
"33194 launcher 0.00001 0.00001 0.00001 0.00001 \n",
"33193 fungi 0.00001 0.00001 0.00001 0.00001 \n",
"33192 eastbound 0.00001 0.00001 0.00001 0.00001 \n",
"33191 Cusack 0.00001 0.00001 0.00001 0.00001 \n",
"33190 clarifying 0.00001 0.00001 0.00001 0.00001 \n",
"33189 Brandenburg 0.00001 0.00001 0.00001 0.00001 \n",
"33188 Borneo 0.00001 0.00001 0.00001 0.00001 \n",
"33187 Blunkett 0.00001 0.00001 0.00001 0.00001 \n",
"33186 Bergeron 0.00001 0.00001 0.00001 0.00001 \n",
"33185 Bazaar 0.00001 0.00001 0.00001 0.00001 \n",
"33184 Abdelbaset 0.00001 0.00001 0.00001 0.00001 \n",
"33183 abating 0.00001 0.00001 0.00001 0.00001 \n",
"33182 Weil 0.00001 0.00001 0.00001 0.00001 \n",
"33204 stationery 0.00001 0.00001 0.00001 0.00001 \n",
"99562 Zirkelbach 0.00001 0.00001 0.00001 0.00001 \n",
"\n",
" \" The risk <s> <s> <s> \n",
"1 0.00001 0.00001 \n",
"66380 0.00001 0.00001 \n",
"66379 0.00001 0.00001 \n",
"66378 0.00001 0.00001 \n",
"66377 0.00001 0.00001 \n",
"66376 0.00001 0.00001 \n",
"66375 0.00001 0.00001 \n",
"66374 0.00001 0.00001 \n",
"66373 0.00001 0.00001 \n",
"66372 0.00001 0.00001 \n",
"66381 0.00001 0.00001 \n",
"66371 0.00001 0.00001 \n",
"66369 0.00001 0.00001 \n",
"66368 0.00001 0.00001 \n",
"66367 0.00001 0.00001 \n",
"66366 0.00001 0.00001 \n",
"66365 0.00001 0.00001 \n",
"66364 0.00001 0.00001 \n",
"66363 0.00001 0.00001 \n",
"66362 0.00001 0.00001 \n",
"66361 0.00001 0.00001 \n",
"66370 0.00001 0.00001 \n",
"66360 0.00001 0.00001 \n",
"66382 0.00001 0.00001 \n",
"66384 0.00001 0.00001 \n",
"66404 0.00001 0.00001 \n",
"66403 0.00001 0.00001 \n",
"66402 0.00001 0.00001 \n",
"66401 0.00001 0.00001 \n",
"66400 0.00001 0.00001 \n",
"... ... ... \n",
"33160 0.00001 0.00001 \n",
"33159 0.00001 0.00001 \n",
"33158 0.00001 0.00001 \n",
"33167 0.00001 0.00001 \n",
"33179 0.00001 0.00001 \n",
"33180 0.00001 0.00001 \n",
"33181 0.00001 0.00001 \n",
"33202 0.00001 0.00001 \n",
"33201 0.00001 0.00001 \n",
"33200 0.00001 0.00001 \n",
"33199 0.00001 0.00001 \n",
"33198 0.00001 0.00001 \n",
"33197 0.00001 0.00001 \n",
"33196 0.00001 0.00001 \n",
"33195 0.00001 0.00001 \n",
"33194 0.00001 0.00001 \n",
"33193 0.00001 0.00001 \n",
"33192 0.00001 0.00001 \n",
"33191 0.00001 0.00001 \n",
"33190 0.00001 0.00001 \n",
"33189 0.00001 0.00001 \n",
"33188 0.00001 0.00001 \n",
"33187 0.00001 0.00001 \n",
"33186 0.00001 0.00001 \n",
"33185 0.00001 0.00001 \n",
"33184 0.00001 0.00001 \n",
"33183 0.00001 0.00001 \n",
"33182 0.00001 0.00001 \n",
"33204 0.00001 0.00001 \n",
"99562 0.00001 0.00001 \n",
"\n",
"[99562 rows x 7 columns]"
]
},
"execution_count": 193,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_n_1.sort_values(by=[r'<s> <s> \"'])"
]
},
{
"cell_type": "code",
"execution_count": 194,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
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" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>words</th>\n",
" <th>&lt;s&gt; &lt;s&gt; \"</th>\n",
" <th>&lt;s&gt; At the</th>\n",
" <th>&lt;s&gt; \" The</th>\n",
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" <tr>\n",
" <th>91606</th>\n",
" <td>fritter</td>\n",
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" <th>84290</th>\n",
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" <td>5.244524e-10</td>\n",
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" <tr>\n",
" <th>95400</th>\n",
" <td>dubiously</td>\n",
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" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
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" <th>90197</th>\n",
" <td>prettiness</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
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" <tr>\n",
" <th>93079</th>\n",
" <td>ym</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
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" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>88267</th>\n",
" <td>fe</td>\n",
" <td>3.005769e-09</td>\n",
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" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97433</th>\n",
" <td>mishit</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>92639</th>\n",
" <td>twiddling</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99304</th>\n",
" <td>--it</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99496</th>\n",
" <td>sledges</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>92904</th>\n",
" <td>melodramas</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76676</th>\n",
" <td>frost.com</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>81618</th>\n",
" <td>yng</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97441</th>\n",
" <td>multi-millionaires</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>81354</th>\n",
" <td>agreeably</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95582</th>\n",
" <td>politico</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99244</th>\n",
" <td>et.</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96380</th>\n",
" <td>hogged</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96470</th>\n",
" <td>nos</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96856</th>\n",
" <td>gmail.com.</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94884</th>\n",
" <td>age-group</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>81905</th>\n",
" <td>ther</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97345</th>\n",
" <td>hauteur</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91597</th>\n",
" <td>Ext</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>87367</th>\n",
" <td>wide-screen</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>89729</th>\n",
" <td>homoerotic</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97364</th>\n",
" <td>imbeciles</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>98797</th>\n",
" <td>generalisations</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54224</th>\n",
" <td>inclusive.</td>\n",
" <td>3.005769e-09</td>\n",
" <td>8.486989e-10</td>\n",
" <td>7.894451e-10</td>\n",
" <td>4.698639e-09</td>\n",
" <td>1.549247e-08</td>\n",
" <td>5.244524e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>179</th>\n",
" <td>around</td>\n",
" <td>1.687205e-03</td>\n",
" <td>2.401516e-06</td>\n",
" <td>1.157400e-06</td>\n",
" <td>6.662213e-06</td>\n",
" <td>2.196681e-05</td>\n",
" <td>1.077909e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>707</th>\n",
" <td>6</td>\n",
" <td>1.733681e-03</td>\n",
" <td>2.113484e-06</td>\n",
" <td>1.279007e-05</td>\n",
" <td>2.877661e-05</td>\n",
" <td>4.384891e-06</td>\n",
" <td>3.155077e-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>182</th>\n",
" <td>10</td>\n",
" <td>1.736217e-03</td>\n",
" <td>1.136911e-05</td>\n",
" <td>6.054465e-05</td>\n",
" <td>1.021993e-04</td>\n",
" <td>1.047221e-05</td>\n",
" <td>3.352094e-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>82</th>\n",
" <td>other</td>\n",
" <td>2.135519e-03</td>\n",
" <td>1.771978e-06</td>\n",
" <td>2.107743e-02</td>\n",
" <td>2.241132e-03</td>\n",
" <td>2.083138e-04</td>\n",
" <td>1.355136e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>183</th>\n",
" <td>another</td>\n",
" <td>2.347315e-03</td>\n",
" <td>1.958515e-06</td>\n",
" <td>5.813506e-07</td>\n",
" <td>3.267631e-06</td>\n",
" <td>2.570379e-05</td>\n",
" <td>5.719861e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <td>her</td>\n",
" <td>2.526876e-03</td>\n",
" <td>4.213521e-06</td>\n",
" <td>1.480346e-06</td>\n",
" <td>8.765474e-06</td>\n",
" <td>4.917215e-04</td>\n",
" <td>1.093771e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>281</th>\n",
" <td>best</td>\n",
" <td>2.565708e-03</td>\n",
" <td>2.773097e-06</td>\n",
" <td>3.692172e-04</td>\n",
" <td>4.463256e-03</td>\n",
" <td>3.341057e-06</td>\n",
" <td>4.106381e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>730</th>\n",
" <td>age</td>\n",
" <td>2.893829e-03</td>\n",
" <td>4.466977e-07</td>\n",
" <td>1.085624e-02</td>\n",
" <td>2.044679e-04</td>\n",
" <td>2.761840e-06</td>\n",
" <td>9.349406e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>$</td>\n",
" <td>2.954055e-03</td>\n",
" <td>2.099496e-06</td>\n",
" <td>1.080958e-04</td>\n",
" <td>3.283908e-04</td>\n",
" <td>3.457556e-05</td>\n",
" <td>1.244393e-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1880</th>\n",
" <td>stake</td>\n",
" <td>3.305305e-03</td>\n",
" <td>6.419712e-08</td>\n",
" <td>1.348219e-06</td>\n",
" <td>1.678003e-05</td>\n",
" <td>9.993234e-07</td>\n",
" <td>3.382918e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>their</td>\n",
" <td>3.318437e-03</td>\n",
" <td>5.060721e-06</td>\n",
" <td>2.236010e-06</td>\n",
" <td>1.269698e-05</td>\n",
" <td>5.121494e-04</td>\n",
" <td>4.682035e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>262</th>\n",
" <td>night</td>\n",
" <td>3.318778e-03</td>\n",
" <td>5.303865e-07</td>\n",
" <td>2.212298e-05</td>\n",
" <td>2.005300e-04</td>\n",
" <td>4.778438e-05</td>\n",
" <td>2.171954e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>119</th>\n",
" <td>any</td>\n",
" <td>3.465959e-03</td>\n",
" <td>3.822288e-06</td>\n",
" <td>8.296467e-07</td>\n",
" <td>4.937912e-06</td>\n",
" <td>1.628141e-05</td>\n",
" <td>8.360705e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>138</th>\n",
" <td>home</td>\n",
" <td>4.693563e-03</td>\n",
" <td>1.710864e-06</td>\n",
" <td>4.393672e-04</td>\n",
" <td>1.767085e-04</td>\n",
" <td>1.820285e-05</td>\n",
" <td>1.041546e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>about</td>\n",
" <td>4.914528e-03</td>\n",
" <td>2.014054e-05</td>\n",
" <td>3.122696e-06</td>\n",
" <td>1.816293e-05</td>\n",
" <td>7.426990e-05</td>\n",
" <td>2.760319e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>72</th>\n",
" <td>last</td>\n",
" <td>6.621001e-03</td>\n",
" <td>6.198337e-06</td>\n",
" <td>7.449133e-03</td>\n",
" <td>5.573635e-03</td>\n",
" <td>1.216166e-04</td>\n",
" <td>2.429285e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>491</th>\n",
" <td>issue</td>\n",
" <td>7.563082e-03</td>\n",
" <td>1.003903e-06</td>\n",
" <td>4.174184e-05</td>\n",
" <td>3.072881e-03</td>\n",
" <td>4.780045e-06</td>\n",
" <td>2.290527e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>an</td>\n",
" <td>8.174905e-03</td>\n",
" <td>1.868713e-05</td>\n",
" <td>2.726813e-06</td>\n",
" <td>1.613894e-05</td>\n",
" <td>1.449138e-03</td>\n",
" <td>3.873642e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>89</th>\n",
" <td>some</td>\n",
" <td>8.523481e-03</td>\n",
" <td>5.629265e-06</td>\n",
" <td>1.439082e-06</td>\n",
" <td>7.954938e-06</td>\n",
" <td>3.973662e-05</td>\n",
" <td>1.229619e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>his</td>\n",
" <td>9.062469e-03</td>\n",
" <td>7.382701e-06</td>\n",
" <td>2.839757e-06</td>\n",
" <td>1.655077e-05</td>\n",
" <td>3.531650e-04</td>\n",
" <td>2.215303e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>399</th>\n",
" <td>times</td>\n",
" <td>1.130312e-02</td>\n",
" <td>3.202075e-07</td>\n",
" <td>3.908103e-05</td>\n",
" <td>1.388044e-04</td>\n",
" <td>4.076498e-06</td>\n",
" <td>2.950702e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>its</td>\n",
" <td>1.143813e-02</td>\n",
" <td>4.512421e-06</td>\n",
" <td>1.923068e-06</td>\n",
" <td>1.072118e-05</td>\n",
" <td>2.294359e-04</td>\n",
" <td>5.776387e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1378</th>\n",
" <td>present</td>\n",
" <td>1.310990e-02</td>\n",
" <td>5.571391e-07</td>\n",
" <td>8.162036e-04</td>\n",
" <td>5.597682e-04</td>\n",
" <td>1.930719e-06</td>\n",
" <td>4.182923e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>this</td>\n",
" <td>2.244508e-02</td>\n",
" <td>9.359893e-06</td>\n",
" <td>3.979668e-06</td>\n",
" <td>2.373001e-05</td>\n",
" <td>4.661958e-04</td>\n",
" <td>4.607910e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>first</td>\n",
" <td>2.465291e-02</td>\n",
" <td>3.110433e-06</td>\n",
" <td>3.801232e-03</td>\n",
" <td>9.445209e-03</td>\n",
" <td>1.738097e-04</td>\n",
" <td>2.408586e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>that</td>\n",
" <td>2.480019e-02</td>\n",
" <td>8.007670e-05</td>\n",
" <td>1.412773e-05</td>\n",
" <td>8.382379e-05</td>\n",
" <td>3.433506e-04</td>\n",
" <td>1.463726e-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>one</td>\n",
" <td>3.541012e-02</td>\n",
" <td>1.236749e-05</td>\n",
" <td>3.764031e-05</td>\n",
" <td>2.157443e-03</td>\n",
" <td>7.948628e-05</td>\n",
" <td>2.751696e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>a</td>\n",
" <td>7.417488e-02</td>\n",
" <td>9.539309e-05</td>\n",
" <td>1.183686e-05</td>\n",
" <td>6.947899e-05</td>\n",
" <td>9.662506e-03</td>\n",
" <td>1.489894e-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>247</th>\n",
" <td>least</td>\n",
" <td>1.415435e-01</td>\n",
" <td>1.857340e-07</td>\n",
" <td>2.482650e-03</td>\n",
" <td>1.463474e-04</td>\n",
" <td>6.295759e-07</td>\n",
" <td>2.947576e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>the</td>\n",
" <td>3.636211e-01</td>\n",
" <td>1.438567e-04</td>\n",
" <td>5.720777e-05</td>\n",
" <td>1.147993e-04</td>\n",
" <td>1.078266e-02</td>\n",
" <td>5.866086e-05</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>99562 rows × 7 columns</p>\n",
"</div>"
],
"text/plain": [
" words <s> <s> \" <s> At the <s> \" The \\\n",
"91606 fritter 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"84290 inflections 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"92921 natch 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"95400 dubiously 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"90197 prettiness 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"93079 ym 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"88267 fe 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"97433 mishit 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"92639 twiddling 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"99304 --it 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"99496 sledges 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"92904 melodramas 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"76676 frost.com 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"81618 yng 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"97441 multi-millionaires 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"81354 agreeably 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"95582 politico 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"99244 et. 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"96380 hogged 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"96470 nos 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"96856 gmail.com. 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"94884 age-group 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"81905 ther 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"97345 hauteur 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"91597 Ext 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"87367 wide-screen 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"89729 homoerotic 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"97364 imbeciles 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"98797 generalisations 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"54224 inclusive. 3.005769e-09 8.486989e-10 7.894451e-10 \n",
"... ... ... ... ... \n",
"179 around 1.687205e-03 2.401516e-06 1.157400e-06 \n",
"707 6 1.733681e-03 2.113484e-06 1.279007e-05 \n",
"182 10 1.736217e-03 1.136911e-05 6.054465e-05 \n",
"82 other 2.135519e-03 1.771978e-06 2.107743e-02 \n",
"183 another 2.347315e-03 1.958515e-06 5.813506e-07 \n",
"61 her 2.526876e-03 4.213521e-06 1.480346e-06 \n",
"281 best 2.565708e-03 2.773097e-06 3.692172e-04 \n",
"730 age 2.893829e-03 4.466977e-07 1.085624e-02 \n",
"55 $ 2.954055e-03 2.099496e-06 1.080958e-04 \n",
"1880 stake 3.305305e-03 6.419712e-08 1.348219e-06 \n",
"39 their 3.318437e-03 5.060721e-06 2.236010e-06 \n",
"262 night 3.318778e-03 5.303865e-07 2.212298e-05 \n",
"119 any 3.465959e-03 3.822288e-06 8.296467e-07 \n",
"138 home 4.693563e-03 1.710864e-06 4.393672e-04 \n",
"51 about 4.914528e-03 2.014054e-05 3.122696e-06 \n",
"72 last 6.621001e-03 6.198337e-06 7.449133e-03 \n",
"491 issue 7.563082e-03 1.003903e-06 4.174184e-05 \n",
"31 an 8.174905e-03 1.868713e-05 2.726813e-06 \n",
"89 some 8.523481e-03 5.629265e-06 1.439082e-06 \n",
"29 his 9.062469e-03 7.382701e-06 2.839757e-06 \n",
"399 times 1.130312e-02 3.202075e-07 3.908103e-05 \n",
"49 its 1.143813e-02 4.512421e-06 1.923068e-06 \n",
"1378 present 1.310990e-02 5.571391e-07 8.162036e-04 \n",
"45 this 2.244508e-02 9.359893e-06 3.979668e-06 \n",
"73 first 2.465291e-02 3.110433e-06 3.801232e-03 \n",
"12 that 2.480019e-02 8.007670e-05 1.412773e-05 \n",
"56 one 3.541012e-02 1.236749e-05 3.764031e-05 \n",
"8 a 7.417488e-02 9.539309e-05 1.183686e-05 \n",
"247 least 1.415435e-01 1.857340e-07 2.482650e-03 \n",
"1 the 3.636211e-01 1.438567e-04 5.720777e-05 \n",
"\n",
" At the targeted \" The risk <s> <s> <s> \n",
"91606 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"84290 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"92921 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"95400 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"90197 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"93079 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"88267 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"97433 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"92639 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"99304 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"99496 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"92904 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"76676 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"81618 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"97441 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"81354 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"95582 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"99244 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"96380 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"96470 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"96856 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"94884 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"81905 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"97345 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"91597 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"87367 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"89729 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"97364 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"98797 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"54224 4.698639e-09 1.549247e-08 5.244524e-10 \n",
"... ... ... ... \n",
"179 6.662213e-06 2.196681e-05 1.077909e-06 \n",
"707 2.877661e-05 4.384891e-06 3.155077e-04 \n",
"182 1.021993e-04 1.047221e-05 3.352094e-04 \n",
"82 2.241132e-03 2.083138e-04 1.355136e-06 \n",
"183 3.267631e-06 2.570379e-05 5.719861e-07 \n",
"61 8.765474e-06 4.917215e-04 1.093771e-06 \n",
"281 4.463256e-03 3.341057e-06 4.106381e-07 \n",
"730 2.044679e-04 2.761840e-06 9.349406e-08 \n",
"55 3.283908e-04 3.457556e-05 1.244393e-05 \n",
"1880 1.678003e-05 9.993234e-07 3.382918e-08 \n",
"39 1.269698e-05 5.121494e-04 4.682035e-06 \n",
"262 2.005300e-04 4.778438e-05 2.171954e-07 \n",
"119 4.937912e-06 1.628141e-05 8.360705e-07 \n",
"138 1.767085e-04 1.820285e-05 1.041546e-06 \n",
"51 1.816293e-05 7.426990e-05 2.760319e-06 \n",
"72 5.573635e-03 1.216166e-04 2.429285e-06 \n",
"491 3.072881e-03 4.780045e-06 2.290527e-07 \n",
"31 1.613894e-05 1.449138e-03 3.873642e-06 \n",
"89 7.954938e-06 3.973662e-05 1.229619e-06 \n",
"29 1.655077e-05 3.531650e-04 2.215303e-06 \n",
"399 1.388044e-04 4.076498e-06 2.950702e-07 \n",
"49 1.072118e-05 2.294359e-04 5.776387e-06 \n",
"1378 5.597682e-04 1.930719e-06 4.182923e-07 \n",
"45 2.373001e-05 4.661958e-04 4.607910e-06 \n",
"73 9.445209e-03 1.738097e-04 2.408586e-06 \n",
"12 8.382379e-05 3.433506e-04 1.463726e-05 \n",
"56 2.157443e-03 7.948628e-05 2.751696e-06 \n",
"8 6.947899e-05 9.662506e-03 1.489894e-05 \n",
"247 1.463474e-04 6.295759e-07 2.947576e-07 \n",
"1 1.147993e-04 1.078266e-02 5.866086e-05 \n",
"\n",
"[99562 rows x 7 columns]"
]
},
"execution_count": 194,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_n_2.sort_values(by=[r'<s> <s> \"'])"
]
},
{
"cell_type": "code",
"execution_count": 195,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>words</th>\n",
" <th>&lt;s&gt; &lt;s&gt; \"</th>\n",
" <th>&lt;s&gt; At the</th>\n",
" <th>&lt;s&gt; \" The</th>\n",
" <th>At the targeted</th>\n",
" <th>\" The risk</th>\n",
" <th>&lt;s&gt; &lt;s&gt; &lt;s&gt;</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>91671</th>\n",
" <td>Levu</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96470</th>\n",
" <td>nos</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>92921</th>\n",
" <td>natch</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91631</th>\n",
" <td>gyda</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95246</th>\n",
" <td>VGA</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95239</th>\n",
" <td>unobtrusively</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94190</th>\n",
" <td>ie.</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97441</th>\n",
" <td>multi-millionaires</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99496</th>\n",
" <td>sledges</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>92810</th>\n",
" <td>foriegn</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>68804</th>\n",
" <td>faire</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97433</th>\n",
" <td>mishit</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94099</th>\n",
" <td>courgette</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91606</th>\n",
" <td>fritter</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54224</th>\n",
" <td>inclusive.</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76676</th>\n",
" <td>frost.com</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>92639</th>\n",
" <td>twiddling</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94055</th>\n",
" <td>bodices</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91602</th>\n",
" <td>filigree</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74961</th>\n",
" <td>cold-war</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>88267</th>\n",
" <td>fe</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95400</th>\n",
" <td>dubiously</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94298</th>\n",
" <td>postmodernism</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>84290</th>\n",
" <td>inflections</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99009</th>\n",
" <td>smutty</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>90197</th>\n",
" <td>prettiness</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>92318</th>\n",
" <td>back-line</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96980</th>\n",
" <td>orgasmic</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99244</th>\n",
" <td>et.</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>77577</th>\n",
" <td>Adumim</td>\n",
" <td>2.947733e-09</td>\n",
" <td>8.045013e-10</td>\n",
" <td>7.708600e-10</td>\n",
" <td>4.457127e-09</td>\n",
" <td>1.697646e-08</td>\n",
" <td>5.045245e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>179</th>\n",
" <td>around</td>\n",
" <td>1.677898e-03</td>\n",
" <td>2.214907e-06</td>\n",
" <td>1.122616e-06</td>\n",
" <td>6.282543e-06</td>\n",
" <td>2.392916e-05</td>\n",
" <td>1.045238e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>182</th>\n",
" <td>10</td>\n",
" <td>1.710695e-03</td>\n",
" <td>1.257805e-05</td>\n",
" <td>6.064820e-05</td>\n",
" <td>1.002749e-04</td>\n",
" <td>1.131079e-05</td>\n",
" <td>3.354930e-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>707</th>\n",
" <td>6</td>\n",
" <td>1.732605e-03</td>\n",
" <td>2.403081e-06</td>\n",
" <td>1.273997e-05</td>\n",
" <td>3.315776e-05</td>\n",
" <td>4.653411e-06</td>\n",
" <td>3.152905e-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>82</th>\n",
" <td>other</td>\n",
" <td>2.140776e-03</td>\n",
" <td>1.744258e-06</td>\n",
" <td>2.113018e-02</td>\n",
" <td>2.264966e-03</td>\n",
" <td>2.280764e-04</td>\n",
" <td>1.348338e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>183</th>\n",
" <td>another</td>\n",
" <td>2.348148e-03</td>\n",
" <td>1.993662e-06</td>\n",
" <td>5.456913e-07</td>\n",
" <td>3.056462e-06</td>\n",
" <td>2.799995e-05</td>\n",
" <td>5.325674e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <td>her</td>\n",
" <td>2.509397e-03</td>\n",
" <td>3.954335e-06</td>\n",
" <td>1.402804e-06</td>\n",
" <td>8.067158e-06</td>\n",
" <td>4.560448e-04</td>\n",
" <td>1.050245e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>281</th>\n",
" <td>best</td>\n",
" <td>2.568253e-03</td>\n",
" <td>2.559133e-06</td>\n",
" <td>4.092897e-04</td>\n",
" <td>4.465123e-03</td>\n",
" <td>3.603939e-06</td>\n",
" <td>4.103045e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>730</th>\n",
" <td>age</td>\n",
" <td>2.886441e-03</td>\n",
" <td>4.128216e-07</td>\n",
" <td>1.085916e-02</td>\n",
" <td>2.002106e-04</td>\n",
" <td>2.985271e-06</td>\n",
" <td>8.871947e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>$</td>\n",
" <td>2.943434e-03</td>\n",
" <td>1.905835e-06</td>\n",
" <td>1.277254e-04</td>\n",
" <td>3.308754e-04</td>\n",
" <td>3.722013e-05</td>\n",
" <td>1.233220e-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1880</th>\n",
" <td>stake</td>\n",
" <td>3.294730e-03</td>\n",
" <td>5.940973e-08</td>\n",
" <td>1.478946e-06</td>\n",
" <td>1.580384e-05</td>\n",
" <td>1.064365e-06</td>\n",
" <td>3.163193e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>their</td>\n",
" <td>3.331760e-03</td>\n",
" <td>4.552653e-06</td>\n",
" <td>2.136075e-06</td>\n",
" <td>1.169259e-05</td>\n",
" <td>4.289575e-04</td>\n",
" <td>4.406077e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>262</th>\n",
" <td>night</td>\n",
" <td>3.347131e-03</td>\n",
" <td>4.812877e-07</td>\n",
" <td>2.193112e-05</td>\n",
" <td>2.048261e-04</td>\n",
" <td>5.232216e-05</td>\n",
" <td>2.122363e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>119</th>\n",
" <td>any</td>\n",
" <td>3.454375e-03</td>\n",
" <td>3.469974e-06</td>\n",
" <td>7.935848e-07</td>\n",
" <td>4.588522e-06</td>\n",
" <td>1.747692e-05</td>\n",
" <td>8.430722e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>138</th>\n",
" <td>home</td>\n",
" <td>4.683067e-03</td>\n",
" <td>1.572875e-06</td>\n",
" <td>4.740386e-04</td>\n",
" <td>1.627674e-04</td>\n",
" <td>1.989294e-05</td>\n",
" <td>9.888821e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>about</td>\n",
" <td>4.922326e-03</td>\n",
" <td>1.880830e-05</td>\n",
" <td>3.012502e-06</td>\n",
" <td>1.702049e-05</td>\n",
" <td>8.057092e-05</td>\n",
" <td>2.563403e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>72</th>\n",
" <td>last</td>\n",
" <td>6.615236e-03</td>\n",
" <td>5.659957e-06</td>\n",
" <td>7.533209e-03</td>\n",
" <td>5.552215e-03</td>\n",
" <td>1.332876e-04</td>\n",
" <td>2.408736e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>491</th>\n",
" <td>issue</td>\n",
" <td>7.548399e-03</td>\n",
" <td>8.966021e-07</td>\n",
" <td>4.088088e-05</td>\n",
" <td>3.069445e-03</td>\n",
" <td>5.101781e-06</td>\n",
" <td>2.188080e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>an</td>\n",
" <td>8.172031e-03</td>\n",
" <td>1.710101e-05</td>\n",
" <td>2.601235e-06</td>\n",
" <td>1.494165e-05</td>\n",
" <td>1.627316e-03</td>\n",
" <td>3.722127e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>89</th>\n",
" <td>some</td>\n",
" <td>8.538728e-03</td>\n",
" <td>5.306212e-06</td>\n",
" <td>1.403180e-06</td>\n",
" <td>7.507465e-06</td>\n",
" <td>4.329069e-05</td>\n",
" <td>1.141830e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>his</td>\n",
" <td>9.054611e-03</td>\n",
" <td>6.807214e-06</td>\n",
" <td>2.688004e-06</td>\n",
" <td>1.521297e-05</td>\n",
" <td>4.178284e-04</td>\n",
" <td>2.098820e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>399</th>\n",
" <td>times</td>\n",
" <td>1.132036e-02</td>\n",
" <td>2.936334e-07</td>\n",
" <td>3.955654e-05</td>\n",
" <td>1.422395e-04</td>\n",
" <td>4.350627e-06</td>\n",
" <td>2.940951e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>its</td>\n",
" <td>1.144746e-02</td>\n",
" <td>4.166782e-06</td>\n",
" <td>1.828404e-06</td>\n",
" <td>9.902660e-06</td>\n",
" <td>2.503768e-04</td>\n",
" <td>5.825193e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1378</th>\n",
" <td>present</td>\n",
" <td>1.313393e-02</td>\n",
" <td>4.933571e-07</td>\n",
" <td>8.012669e-04</td>\n",
" <td>5.540383e-04</td>\n",
" <td>2.081981e-06</td>\n",
" <td>4.441359e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>this</td>\n",
" <td>2.239140e-02</td>\n",
" <td>8.638900e-06</td>\n",
" <td>3.863512e-06</td>\n",
" <td>2.238162e-05</td>\n",
" <td>4.285280e-04</td>\n",
" <td>4.499403e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>first</td>\n",
" <td>2.464206e-02</td>\n",
" <td>2.918529e-06</td>\n",
" <td>3.768241e-03</td>\n",
" <td>9.445290e-03</td>\n",
" <td>1.903807e-04</td>\n",
" <td>2.468068e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>that</td>\n",
" <td>2.482814e-02</td>\n",
" <td>7.475541e-05</td>\n",
" <td>1.360235e-05</td>\n",
" <td>7.839554e-05</td>\n",
" <td>3.801413e-04</td>\n",
" <td>1.403368e-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>one</td>\n",
" <td>3.547555e-02</td>\n",
" <td>1.116317e-05</td>\n",
" <td>3.681947e-05</td>\n",
" <td>2.166341e-03</td>\n",
" <td>8.608106e-05</td>\n",
" <td>2.680126e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>a</td>\n",
" <td>7.418386e-02</td>\n",
" <td>8.614032e-05</td>\n",
" <td>1.123745e-05</td>\n",
" <td>6.394900e-05</td>\n",
" <td>9.532740e-03</td>\n",
" <td>1.444975e-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>247</th>\n",
" <td>least</td>\n",
" <td>1.413741e-01</td>\n",
" <td>2.229992e-07</td>\n",
" <td>2.488444e-03</td>\n",
" <td>1.467580e-04</td>\n",
" <td>6.832797e-07</td>\n",
" <td>2.704803e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>the</td>\n",
" <td>3.636131e-01</td>\n",
" <td>1.313951e-04</td>\n",
" <td>5.574299e-05</td>\n",
" <td>1.050879e-04</td>\n",
" <td>1.158612e-02</td>\n",
" <td>5.847525e-05</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>99562 rows × 7 columns</p>\n",
"</div>"
],
"text/plain": [
" words <s> <s> \" <s> At the <s> \" The \\\n",
"91671 Levu 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"96470 nos 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"92921 natch 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"91631 gyda 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"95246 VGA 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"95239 unobtrusively 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"94190 ie. 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"97441 multi-millionaires 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"99496 sledges 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"92810 foriegn 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"68804 faire 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"97433 mishit 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"94099 courgette 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"91606 fritter 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"54224 inclusive. 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"76676 frost.com 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"92639 twiddling 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"94055 bodices 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"91602 filigree 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"74961 cold-war 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"88267 fe 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"95400 dubiously 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"94298 postmodernism 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"84290 inflections 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"99009 smutty 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"90197 prettiness 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"92318 back-line 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"96980 orgasmic 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"99244 et. 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"77577 Adumim 2.947733e-09 8.045013e-10 7.708600e-10 \n",
"... ... ... ... ... \n",
"179 around 1.677898e-03 2.214907e-06 1.122616e-06 \n",
"182 10 1.710695e-03 1.257805e-05 6.064820e-05 \n",
"707 6 1.732605e-03 2.403081e-06 1.273997e-05 \n",
"82 other 2.140776e-03 1.744258e-06 2.113018e-02 \n",
"183 another 2.348148e-03 1.993662e-06 5.456913e-07 \n",
"61 her 2.509397e-03 3.954335e-06 1.402804e-06 \n",
"281 best 2.568253e-03 2.559133e-06 4.092897e-04 \n",
"730 age 2.886441e-03 4.128216e-07 1.085916e-02 \n",
"55 $ 2.943434e-03 1.905835e-06 1.277254e-04 \n",
"1880 stake 3.294730e-03 5.940973e-08 1.478946e-06 \n",
"39 their 3.331760e-03 4.552653e-06 2.136075e-06 \n",
"262 night 3.347131e-03 4.812877e-07 2.193112e-05 \n",
"119 any 3.454375e-03 3.469974e-06 7.935848e-07 \n",
"138 home 4.683067e-03 1.572875e-06 4.740386e-04 \n",
"51 about 4.922326e-03 1.880830e-05 3.012502e-06 \n",
"72 last 6.615236e-03 5.659957e-06 7.533209e-03 \n",
"491 issue 7.548399e-03 8.966021e-07 4.088088e-05 \n",
"31 an 8.172031e-03 1.710101e-05 2.601235e-06 \n",
"89 some 8.538728e-03 5.306212e-06 1.403180e-06 \n",
"29 his 9.054611e-03 6.807214e-06 2.688004e-06 \n",
"399 times 1.132036e-02 2.936334e-07 3.955654e-05 \n",
"49 its 1.144746e-02 4.166782e-06 1.828404e-06 \n",
"1378 present 1.313393e-02 4.933571e-07 8.012669e-04 \n",
"45 this 2.239140e-02 8.638900e-06 3.863512e-06 \n",
"73 first 2.464206e-02 2.918529e-06 3.768241e-03 \n",
"12 that 2.482814e-02 7.475541e-05 1.360235e-05 \n",
"56 one 3.547555e-02 1.116317e-05 3.681947e-05 \n",
"8 a 7.418386e-02 8.614032e-05 1.123745e-05 \n",
"247 least 1.413741e-01 2.229992e-07 2.488444e-03 \n",
"1 the 3.636131e-01 1.313951e-04 5.574299e-05 \n",
"\n",
" At the targeted \" The risk <s> <s> <s> \n",
"91671 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"96470 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"92921 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"91631 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"95246 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"95239 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"94190 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"97441 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"99496 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"92810 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"68804 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"97433 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"94099 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"91606 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"54224 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"76676 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"92639 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"94055 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"91602 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"74961 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"88267 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"95400 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"94298 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"84290 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"99009 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"90197 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"92318 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"96980 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"99244 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"77577 4.457127e-09 1.697646e-08 5.045245e-10 \n",
"... ... ... ... \n",
"179 6.282543e-06 2.392916e-05 1.045238e-06 \n",
"182 1.002749e-04 1.131079e-05 3.354930e-04 \n",
"707 3.315776e-05 4.653411e-06 3.152905e-04 \n",
"82 2.264966e-03 2.280764e-04 1.348338e-06 \n",
"183 3.056462e-06 2.799995e-05 5.325674e-07 \n",
"61 8.067158e-06 4.560448e-04 1.050245e-06 \n",
"281 4.465123e-03 3.603939e-06 4.103045e-07 \n",
"730 2.002106e-04 2.985271e-06 8.871947e-08 \n",
"55 3.308754e-04 3.722013e-05 1.233220e-05 \n",
"1880 1.580384e-05 1.064365e-06 3.163193e-08 \n",
"39 1.169259e-05 4.289575e-04 4.406077e-06 \n",
"262 2.048261e-04 5.232216e-05 2.122363e-07 \n",
"119 4.588522e-06 1.747692e-05 8.430722e-07 \n",
"138 1.627674e-04 1.989294e-05 9.888821e-07 \n",
"51 1.702049e-05 8.057092e-05 2.563403e-06 \n",
"72 5.552215e-03 1.332876e-04 2.408736e-06 \n",
"491 3.069445e-03 5.101781e-06 2.188080e-07 \n",
"31 1.494165e-05 1.627316e-03 3.722127e-06 \n",
"89 7.507465e-06 4.329069e-05 1.141830e-06 \n",
"29 1.521297e-05 4.178284e-04 2.098820e-06 \n",
"399 1.422395e-04 4.350627e-06 2.940951e-07 \n",
"49 9.902660e-06 2.503768e-04 5.825193e-06 \n",
"1378 5.540383e-04 2.081981e-06 4.441359e-07 \n",
"45 2.238162e-05 4.285280e-04 4.499403e-06 \n",
"73 9.445290e-03 1.903807e-04 2.468068e-06 \n",
"12 7.839554e-05 3.801413e-04 1.403368e-05 \n",
"56 2.166341e-03 8.608106e-05 2.680126e-06 \n",
"8 6.394900e-05 9.532740e-03 1.444975e-05 \n",
"247 1.467580e-04 6.832797e-07 2.704803e-07 \n",
"1 1.050879e-04 1.158612e-02 5.847525e-05 \n",
"\n",
"[99562 rows x 7 columns]"
]
},
"execution_count": 195,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_n_3.sort_values(by=[r'<s> <s> \"'])"
]
},
{
"cell_type": "code",
"execution_count": 196,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>words</th>\n",
" <th>&lt;s&gt; &lt;s&gt; \"</th>\n",
" <th>&lt;s&gt; At the</th>\n",
" <th>&lt;s&gt; \" The</th>\n",
" <th>At the targeted</th>\n",
" <th>\" The risk</th>\n",
" <th>&lt;s&gt; &lt;s&gt; &lt;s&gt;</th>\n",
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" <tbody>\n",
" <tr>\n",
" <th>92639</th>\n",
" <td>twiddling</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
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" <tr>\n",
" <th>94884</th>\n",
" <td>age-group</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97364</th>\n",
" <td>imbeciles</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96022</th>\n",
" <td>os</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>81354</th>\n",
" <td>agreeably</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96980</th>\n",
" <td>orgasmic</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99496</th>\n",
" <td>sledges</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91597</th>\n",
" <td>Ext</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91602</th>\n",
" <td>filigree</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91606</th>\n",
" <td>fritter</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97433</th>\n",
" <td>mishit</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95246</th>\n",
" <td>VGA</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94190</th>\n",
" <td>ie.</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97441</th>\n",
" <td>multi-millionaires</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>93025</th>\n",
" <td>Strasse</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>90197</th>\n",
" <td>prettiness</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95582</th>\n",
" <td>politico</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>92738</th>\n",
" <td>birdwatching</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96470</th>\n",
" <td>nos</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97345</th>\n",
" <td>hauteur</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>88267</th>\n",
" <td>fe</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>85828</th>\n",
" <td>greedily</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76676</th>\n",
" <td>frost.com</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94099</th>\n",
" <td>courgette</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99009</th>\n",
" <td>smutty</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>84290</th>\n",
" <td>inflections</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>93079</th>\n",
" <td>ym</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>98417</th>\n",
" <td>pan-fried</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99428</th>\n",
" <td>punky</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94055</th>\n",
" <td>bodices</td>\n",
" <td>1.960086e-09</td>\n",
" <td>4.784253e-10</td>\n",
" <td>4.639415e-10</td>\n",
" <td>2.442330e-09</td>\n",
" <td>9.757259e-09</td>\n",
" <td>3.003716e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>179</th>\n",
" <td>around</td>\n",
" <td>1.673306e-03</td>\n",
" <td>1.536889e-06</td>\n",
" <td>7.598034e-07</td>\n",
" <td>3.721789e-06</td>\n",
" <td>1.486878e-05</td>\n",
" <td>8.559446e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>707</th>\n",
" <td>6</td>\n",
" <td>1.734012e-03</td>\n",
" <td>3.027551e-06</td>\n",
" <td>2.367656e-05</td>\n",
" <td>3.866923e-05</td>\n",
" <td>2.394475e-06</td>\n",
" <td>3.156714e-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>182</th>\n",
" <td>10</td>\n",
" <td>1.764491e-03</td>\n",
" <td>1.174396e-05</td>\n",
" <td>5.400022e-05</td>\n",
" <td>1.039705e-04</td>\n",
" <td>6.953631e-06</td>\n",
" <td>3.353168e-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>82</th>\n",
" <td>other</td>\n",
" <td>2.132428e-03</td>\n",
" <td>1.597881e-06</td>\n",
" <td>2.111197e-02</td>\n",
" <td>2.299383e-03</td>\n",
" <td>1.978534e-04</td>\n",
" <td>1.282379e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>183</th>\n",
" <td>another</td>\n",
" <td>2.356683e-03</td>\n",
" <td>1.294967e-06</td>\n",
" <td>3.547217e-07</td>\n",
" <td>1.712893e-06</td>\n",
" <td>4.742792e-05</td>\n",
" <td>4.225984e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <td>her</td>\n",
" <td>2.515937e-03</td>\n",
" <td>2.635553e-06</td>\n",
" <td>8.268247e-07</td>\n",
" <td>4.290869e-06</td>\n",
" <td>2.958813e-04</td>\n",
" <td>6.833860e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>281</th>\n",
" <td>best</td>\n",
" <td>2.546635e-03</td>\n",
" <td>1.935421e-06</td>\n",
" <td>3.285080e-04</td>\n",
" <td>4.483001e-03</td>\n",
" <td>2.113449e-06</td>\n",
" <td>4.586884e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>730</th>\n",
" <td>age</td>\n",
" <td>2.911272e-03</td>\n",
" <td>2.654463e-07</td>\n",
" <td>1.086292e-02</td>\n",
" <td>2.150918e-04</td>\n",
" <td>1.727667e-06</td>\n",
" <td>5.318525e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>$</td>\n",
" <td>2.933544e-03</td>\n",
" <td>1.324237e-06</td>\n",
" <td>1.233435e-04</td>\n",
" <td>3.145816e-04</td>\n",
" <td>5.100508e-05</td>\n",
" <td>1.255056e-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>262</th>\n",
" <td>night</td>\n",
" <td>3.317969e-03</td>\n",
" <td>3.332668e-07</td>\n",
" <td>1.725348e-05</td>\n",
" <td>2.016751e-04</td>\n",
" <td>4.234083e-05</td>\n",
" <td>2.228583e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1880</th>\n",
" <td>stake</td>\n",
" <td>3.325442e-03</td>\n",
" <td>4.263068e-08</td>\n",
" <td>1.196775e-06</td>\n",
" <td>1.635666e-05</td>\n",
" <td>6.175477e-07</td>\n",
" <td>1.901085e-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>their</td>\n",
" <td>3.351859e-03</td>\n",
" <td>3.669802e-06</td>\n",
" <td>1.254573e-06</td>\n",
" <td>5.797231e-06</td>\n",
" <td>1.854995e-04</td>\n",
" <td>4.399082e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>119</th>\n",
" <td>any</td>\n",
" <td>3.478945e-03</td>\n",
" <td>2.512365e-06</td>\n",
" <td>4.826595e-07</td>\n",
" <td>2.540867e-06</td>\n",
" <td>1.015092e-05</td>\n",
" <td>7.033393e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>138</th>\n",
" <td>home</td>\n",
" <td>4.680906e-03</td>\n",
" <td>1.113068e-06</td>\n",
" <td>4.582542e-04</td>\n",
" <td>1.720684e-04</td>\n",
" <td>1.175600e-05</td>\n",
" <td>8.140778e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>about</td>\n",
" <td>4.887348e-03</td>\n",
" <td>1.506140e-05</td>\n",
" <td>1.814040e-06</td>\n",
" <td>8.997846e-06</td>\n",
" <td>5.665049e-05</td>\n",
" <td>1.980524e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>72</th>\n",
" <td>last</td>\n",
" <td>6.598457e-03</td>\n",
" <td>4.363353e-06</td>\n",
" <td>7.468220e-03</td>\n",
" <td>5.595121e-03</td>\n",
" <td>1.029886e-04</td>\n",
" <td>1.704695e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>491</th>\n",
" <td>issue</td>\n",
" <td>7.629929e-03</td>\n",
" <td>8.003674e-07</td>\n",
" <td>3.306303e-05</td>\n",
" <td>3.133954e-03</td>\n",
" <td>2.930893e-06</td>\n",
" <td>1.909698e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>an</td>\n",
" <td>8.215472e-03</td>\n",
" <td>1.127295e-05</td>\n",
" <td>1.440090e-06</td>\n",
" <td>7.442049e-06</td>\n",
" <td>1.520873e-03</td>\n",
" <td>3.557955e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>89</th>\n",
" <td>some</td>\n",
" <td>8.479666e-03</td>\n",
" <td>3.532621e-06</td>\n",
" <td>9.118653e-07</td>\n",
" <td>4.226175e-06</td>\n",
" <td>5.473201e-05</td>\n",
" <td>8.236191e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>his</td>\n",
" <td>9.046766e-03</td>\n",
" <td>5.417043e-06</td>\n",
" <td>1.567125e-06</td>\n",
" <td>7.740069e-06</td>\n",
" <td>5.694464e-04</td>\n",
" <td>1.458879e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>399</th>\n",
" <td>times</td>\n",
" <td>1.132775e-02</td>\n",
" <td>2.090454e-07</td>\n",
" <td>4.081830e-05</td>\n",
" <td>1.321497e-04</td>\n",
" <td>2.483980e-06</td>\n",
" <td>2.369942e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>its</td>\n",
" <td>1.141705e-02</td>\n",
" <td>2.901494e-06</td>\n",
" <td>1.110175e-06</td>\n",
" <td>4.855532e-06</td>\n",
" <td>1.601063e-04</td>\n",
" <td>5.922953e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1378</th>\n",
" <td>present</td>\n",
" <td>1.310780e-02</td>\n",
" <td>3.163414e-07</td>\n",
" <td>7.785717e-04</td>\n",
" <td>5.600798e-04</td>\n",
" <td>1.284277e-06</td>\n",
" <td>4.839965e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>this</td>\n",
" <td>2.230674e-02</td>\n",
" <td>6.114887e-06</td>\n",
" <td>2.343524e-06</td>\n",
" <td>1.239900e-05</td>\n",
" <td>4.496572e-04</td>\n",
" <td>3.751125e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>first</td>\n",
" <td>2.472255e-02</td>\n",
" <td>1.922291e-06</td>\n",
" <td>3.808934e-03</td>\n",
" <td>9.564208e-03</td>\n",
" <td>1.105605e-04</td>\n",
" <td>2.436511e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>that</td>\n",
" <td>2.484514e-02</td>\n",
" <td>5.365681e-05</td>\n",
" <td>7.588689e-06</td>\n",
" <td>3.959408e-05</td>\n",
" <td>2.335185e-04</td>\n",
" <td>1.124302e-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>one</td>\n",
" <td>3.548262e-02</td>\n",
" <td>8.449160e-06</td>\n",
" <td>3.199188e-05</td>\n",
" <td>2.157062e-03</td>\n",
" <td>1.625238e-04</td>\n",
" <td>2.259853e-06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>a</td>\n",
" <td>7.404347e-02</td>\n",
" <td>5.648187e-05</td>\n",
" <td>6.111963e-06</td>\n",
" <td>3.089867e-05</td>\n",
" <td>5.786697e-03</td>\n",
" <td>1.249542e-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>247</th>\n",
" <td>least</td>\n",
" <td>1.415368e-01</td>\n",
" <td>1.476310e-07</td>\n",
" <td>2.496207e-03</td>\n",
" <td>1.369515e-04</td>\n",
" <td>3.324194e-07</td>\n",
" <td>3.403227e-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>the</td>\n",
" <td>3.634947e-01</td>\n",
" <td>9.539411e-05</td>\n",
" <td>4.346096e-05</td>\n",
" <td>5.349287e-05</td>\n",
" <td>7.241508e-03</td>\n",
" <td>5.779200e-05</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>99562 rows × 7 columns</p>\n",
"</div>"
],
"text/plain": [
" words <s> <s> \" <s> At the <s> \" The \\\n",
"92639 twiddling 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"94884 age-group 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"97364 imbeciles 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"96022 os 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"81354 agreeably 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"96980 orgasmic 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"99496 sledges 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"91597 Ext 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"91602 filigree 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"91606 fritter 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"97433 mishit 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"95246 VGA 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"94190 ie. 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"97441 multi-millionaires 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"93025 Strasse 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"90197 prettiness 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"95582 politico 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"92738 birdwatching 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"96470 nos 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"97345 hauteur 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"88267 fe 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"85828 greedily 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"76676 frost.com 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"94099 courgette 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"99009 smutty 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"84290 inflections 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"93079 ym 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"98417 pan-fried 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"99428 punky 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"94055 bodices 1.960086e-09 4.784253e-10 4.639415e-10 \n",
"... ... ... ... ... \n",
"179 around 1.673306e-03 1.536889e-06 7.598034e-07 \n",
"707 6 1.734012e-03 3.027551e-06 2.367656e-05 \n",
"182 10 1.764491e-03 1.174396e-05 5.400022e-05 \n",
"82 other 2.132428e-03 1.597881e-06 2.111197e-02 \n",
"183 another 2.356683e-03 1.294967e-06 3.547217e-07 \n",
"61 her 2.515937e-03 2.635553e-06 8.268247e-07 \n",
"281 best 2.546635e-03 1.935421e-06 3.285080e-04 \n",
"730 age 2.911272e-03 2.654463e-07 1.086292e-02 \n",
"55 $ 2.933544e-03 1.324237e-06 1.233435e-04 \n",
"262 night 3.317969e-03 3.332668e-07 1.725348e-05 \n",
"1880 stake 3.325442e-03 4.263068e-08 1.196775e-06 \n",
"39 their 3.351859e-03 3.669802e-06 1.254573e-06 \n",
"119 any 3.478945e-03 2.512365e-06 4.826595e-07 \n",
"138 home 4.680906e-03 1.113068e-06 4.582542e-04 \n",
"51 about 4.887348e-03 1.506140e-05 1.814040e-06 \n",
"72 last 6.598457e-03 4.363353e-06 7.468220e-03 \n",
"491 issue 7.629929e-03 8.003674e-07 3.306303e-05 \n",
"31 an 8.215472e-03 1.127295e-05 1.440090e-06 \n",
"89 some 8.479666e-03 3.532621e-06 9.118653e-07 \n",
"29 his 9.046766e-03 5.417043e-06 1.567125e-06 \n",
"399 times 1.132775e-02 2.090454e-07 4.081830e-05 \n",
"49 its 1.141705e-02 2.901494e-06 1.110175e-06 \n",
"1378 present 1.310780e-02 3.163414e-07 7.785717e-04 \n",
"45 this 2.230674e-02 6.114887e-06 2.343524e-06 \n",
"73 first 2.472255e-02 1.922291e-06 3.808934e-03 \n",
"12 that 2.484514e-02 5.365681e-05 7.588689e-06 \n",
"56 one 3.548262e-02 8.449160e-06 3.199188e-05 \n",
"8 a 7.404347e-02 5.648187e-05 6.111963e-06 \n",
"247 least 1.415368e-01 1.476310e-07 2.496207e-03 \n",
"1 the 3.634947e-01 9.539411e-05 4.346096e-05 \n",
"\n",
" At the targeted \" The risk <s> <s> <s> \n",
"92639 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"94884 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"97364 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"96022 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"81354 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"96980 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"99496 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"91597 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"91602 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"91606 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"97433 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"95246 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"94190 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"97441 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"93025 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"90197 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"95582 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"92738 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"96470 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"97345 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"88267 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"85828 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"76676 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"94099 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"99009 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"84290 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"93079 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"98417 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"99428 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"94055 2.442330e-09 9.757259e-09 3.003716e-10 \n",
"... ... ... ... \n",
"179 3.721789e-06 1.486878e-05 8.559446e-07 \n",
"707 3.866923e-05 2.394475e-06 3.156714e-04 \n",
"182 1.039705e-04 6.953631e-06 3.353168e-04 \n",
"82 2.299383e-03 1.978534e-04 1.282379e-06 \n",
"183 1.712893e-06 4.742792e-05 4.225984e-07 \n",
"61 4.290869e-06 2.958813e-04 6.833860e-07 \n",
"281 4.483001e-03 2.113449e-06 4.586884e-07 \n",
"730 2.150918e-04 1.727667e-06 5.318525e-08 \n",
"55 3.145816e-04 5.100508e-05 1.255056e-05 \n",
"262 2.016751e-04 4.234083e-05 2.228583e-07 \n",
"1880 1.635666e-05 6.175477e-07 1.901085e-08 \n",
"39 5.797231e-06 1.854995e-04 4.399082e-06 \n",
"119 2.540867e-06 1.015092e-05 7.033393e-07 \n",
"138 1.720684e-04 1.175600e-05 8.140778e-07 \n",
"51 8.997846e-06 5.665049e-05 1.980524e-06 \n",
"72 5.595121e-03 1.029886e-04 1.704695e-06 \n",
"491 3.133954e-03 2.930893e-06 1.909698e-07 \n",
"31 7.442049e-06 1.520873e-03 3.557955e-06 \n",
"89 4.226175e-06 5.473201e-05 8.236191e-07 \n",
"29 7.740069e-06 5.694464e-04 1.458879e-06 \n",
"399 1.321497e-04 2.483980e-06 2.369942e-07 \n",
"49 4.855532e-06 1.601063e-04 5.922953e-06 \n",
"1378 5.600798e-04 1.284277e-06 4.839965e-07 \n",
"45 1.239900e-05 4.496572e-04 3.751125e-06 \n",
"73 9.564208e-03 1.105605e-04 2.436511e-06 \n",
"12 3.959408e-05 2.335185e-04 1.124302e-05 \n",
"56 2.157062e-03 1.625238e-04 2.259853e-06 \n",
"8 3.089867e-05 5.786697e-03 1.249542e-05 \n",
"247 1.369515e-04 3.324194e-07 3.403227e-07 \n",
"1 5.349287e-05 7.241508e-03 5.779200e-05 \n",
"\n",
"[99562 rows x 7 columns]"
]
},
"execution_count": 196,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_n_10.sort_values(by=[r'<s> <s> \"'])"
]
},
{
"cell_type": "code",
"execution_count": 197,
"metadata": {},
"outputs": [
{
"data": {
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wVPfqQavr83PR6bkfsKOwoqloo9Kp++WqAry70Pf1Q8Yv8lmmdgTvKDyJ8fO2hmWOpUPH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\nAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f773a94ec88>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.semilogy(df_n_2[r'<s> <s> \"']/df_n_10[r'<s> <s> \"'])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 198,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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p9L2hW8QP2f2X75csu8xuzwUzhvLsd2bSMLC5jaCiSyG3fHEyT1x2XGvXzrZK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\ngg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f7734c9e780>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.semilogy(srilms_values[r'<s> <s> \"']/df_n_10[r'<s> <s> \"'])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 199,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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k1FNXHsk3lgc32/vqsklc+ZHe/xAvOKw56vyfxPkqyyuPncSMpoGUFnbeYzxw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\nB/Vdc0+v+CN/AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f7734a22f98>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.semilogy(srilms_values[r'<s> <s> \"']/df_n_2[r'<s> <s> \"'])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 200,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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A/66t+bSoOGII6NUJJ7KheC/9urRmuHfjz/xKJy5rI3wa72OXH8//PrsAMzi2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\nMCbuD2G+AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f7736894cf8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(df_n_2[r'<s> <s> \"']-df_n_10[r'<s> <s> \"'])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 201,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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GJEnqYRThsBJY19bXAZdOblBVP66qJ9vm/N37TbIIOKqqvlxVBXxoUH9J0v41inA4sap2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\nDAdJUofhIEnq+P+kCzE/07jKagAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f77349b86a0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(srilms_values[r'<s> <s> \"']-df_n_10[r'<s> <s> \"'])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 174,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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S1GE4SJI6DAdJUofhIEnqMBwkSR2GgySpw3CQJHX0DockC5OsT7KlLRcMafOMJDck2ZTk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\nSer4/x9UWBiILkrzAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f7741f71390>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(srilms_values[r'<s> <s> \"']-df_n_2[r'<s> <s> \"'])\n",
"plt.show()"
]
},
{
"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": []
},
{
"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": []
},
{
"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": 235,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f7740955518>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(df_n_10[r'At the targeted'],linestyle=\"\",marker=\"o\")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 224,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"99562\n"
]
},
{
"data": {
"image/png": 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vWb0/DV8NfHrEfNPM+H7gV4FvjpFtWvmuBc4Bf9BrLX0gyRXzlLGqvgz8NvDPwFeA81X1\nVzPIt9qcixeZc9YZn5XkKuAW4BNzlu83gd8BvjFirqmYt0K/7H1oB9xm2PFRTCNfd6fuSuDPgF+q\nqv8YMd9q7z/INsuOJ3kLcLaqHh8j18Xee5BtVhq/DHgN8HtV9Wrg68A4x2Km8Rm+jO4KcTPwPcAV\nSX5mBvnGmXMY08jY3an7F9E+4O6qOjNCtkHfe6h8SV4FXFdVfz5ipqmZt0I/yH1on92m9wO/Enhq\nlX3HvrftlPOR5LvoFvkPV9VDI2abZsYfBG5N8kW6f+L+SJI/nqN8i8BiVT3zl9CDdAv/qKaR8Q3A\nF6rqXFX9L/AQ8PoZ5Fttzv42yDi/J9PK+Iy9wD9V1fvnLN/rgNf2fk8+BXxfkkfHyDg5sz5I0P+P\n7srsDN1VzzMHSF65ZJtf4NsPkBzoPX4l334Q7AzdAy4XnXPG+UK3H/r+ef0Ml+x7E+MdjJ1KProH\n5rb0Hv868FvzlBG4EThBtzcfur3fdzzX+fpev53vPBh7FPgBvnUw9k2z+AwvkvG9dBdFL5jV78lq\n+fpe28QcHYydeYBlPqA30T3z5PPAu3tjvwHc2nv8QuBP6R7k+gxwbd++7+7td4q+o/HLzTkv+ege\nvS/g74C/6f0b+RdsWp9h3+s3MUahn+LP+FXAsd7n+FHgZXOY8T3A54DjwB8Bl88o3xfprky/RnfV\nutAb7/SyfR64h94XKuclI91Vd9E9YeGZ35W3z0u+JXNvYo4Kvd+MlaTGzVuPXpI0YRZ6SWqchV6S\nGmehl6TGWeglqXEWeklqnIVekhpnoZekxv0/H8XNsHxtUkwAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f7735e496a0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(df_n_10[r'At the targeted'].size)\n",
"plt.hist(df_n_10[r'At the targeted'], 50, facecolor='green', alpha=0.75, log=True)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 234,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"1 1.536739e-11\n",
"2 3.400095e-06\n",
"3 1.913498e-08\n",
"4 3.400095e-06\n",
"5 5.342075e-12\n",
"6 1.863790e-10\n",
"7 1.086376e-11\n",
"8 8.772836e-12\n",
"9 2.629045e-10\n",
"10 3.400095e-06\n",
"11 2.776643e-11\n",
"12 1.869347e-12\n",
"13 1.118047e-11\n",
"14 1.030481e-11\n",
"15 2.439613e-10\n",
"16 3.983795e-09\n",
"17 1.969718e-10\n",
"18 2.509690e-12\n",
"19 2.955425e-13\n",
"20 3.659822e-12\n",
"21 1.051913e-11\n",
"22 1.854556e-12\n",
"23 3.726319e-12\n",
"24 2.076204e-12\n",
"25 1.859474e-12\n",
"26 7.000999e-12\n",
"27 1.932636e-11\n",
"28 1.317650e-12\n",
"29 5.443021e-13\n",
"30 1.374295e-12\n",
" ... \n",
"99533 3.400095e-06\n",
"99534 3.400095e-06\n",
"99535 3.400095e-06\n",
"99536 3.400095e-06\n",
"99537 3.400095e-06\n",
"99538 3.400095e-06\n",
"99539 3.400095e-06\n",
"99540 3.400095e-06\n",
"99541 3.400095e-06\n",
"99542 3.400095e-06\n",
"99543 3.400095e-06\n",
"99544 3.400095e-06\n",
"99545 3.400095e-06\n",
"99546 3.400095e-06\n",
"99547 3.400095e-06\n",
"99548 1.502346e-13\n",
"99549 3.400095e-06\n",
"99550 3.400095e-06\n",
"99551 3.400095e-06\n",
"99552 3.400095e-06\n",
"99553 3.400095e-06\n",
"99554 3.400095e-06\n",
"99555 3.400095e-06\n",
"99556 3.400095e-06\n",
"99557 3.400095e-06\n",
"99558 3.400095e-06\n",
"99559 3.400095e-06\n",
"99560 3.400095e-06\n",
"99561 3.400095e-06\n",
"99562 3.400095e-06\n",
"Name: At the targeted, Length: 99562, dtype: float64"
]
},
"execution_count": 234,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"srilms_values[r'At the targeted']"
]
},
{
"cell_type": "code",
"execution_count": 233,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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UjkL60thBSRuAncAYcFdEnACoVzNNeR/QL+kBYFuqTdYcqdZu4O3ADEnLgZuBnwEbU+h0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\nARP0EcW0AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f7734c58668>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(srilms_values[r'At the targeted'],linestyle=\"\",marker=\"o\")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 223,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"99562\n"
]
},
{
"data": {
"image/png": 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7k3TGOLc1pOZu8+u1q+3n+1jqn3/Y9b69bma+Ui2voTOJ2JhjHBHrgL8Afisz5+ewVlfb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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f773af0eac8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(srilms_values[r'At the targeted'].size)\n",
"plt.hist(srilms_values[r'At the targeted'], 50, facecolor='green', alpha=0.75, log=True)\n",
"plt.show()"
]
},
{
"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": []
},
{
"cell_type": "code",
"execution_count": 237,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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vrk8v8HxJsyPi5xOuvMGNl8132JuZFVTktM984FDd+ACnH70/1ycijgNPA3Mb+rwJ2Hc2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\n8Dczy5DD38wsQw5/M7MMOfzNzDL0/+1+fOZwB5muAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f7735078fd0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(df_n_10[r'<s> <s> <s>'],linestyle=\"\",marker=\"o\")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 238,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"99562\n"
]
},
{
"data": {
"image/png": 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lGrTkjEmeBvw28NYJ5BqLLs+MnbRLPpN2yHWG2barLvnmFibPA97N3Ox0ErpkfBfwO1X1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\n1IF+pbYviwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f7735347208>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(df_n_10[r'<s> <s> <s>'].size)\n",
"plt.hist(df_n_10[r'<s> <s> <s>'], 50, facecolor='green', alpha=0.75, log=True)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 239,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"1 2.199956e-05\n",
"2 2.631007e-02\n",
"3 1.037013e-04\n",
"4 2.631007e-02\n",
"5 1.678518e-05\n",
"6 2.380641e-03\n",
"7 1.566329e-05\n",
"8 1.256837e-06\n",
"9 3.335408e-02\n",
"10 2.631007e-02\n",
"11 4.041783e-04\n",
"12 3.615414e-06\n",
"13 1.001544e-05\n",
"14 2.423065e-05\n",
"15 1.309312e-03\n",
"16 8.469270e-04\n",
"17 3.722674e-04\n",
"18 3.564421e-06\n",
"19 2.017795e-08\n",
"20 6.292410e-05\n",
"21 1.577800e-05\n",
"22 2.133659e-05\n",
"23 3.373184e-06\n",
"24 8.179580e-06\n",
"25 9.112510e-05\n",
"26 2.812225e-06\n",
"27 2.976377e-05\n",
"28 4.663951e-07\n",
"29 2.595488e-06\n",
"30 3.130949e-06\n",
" ... \n",
"99533 2.631007e-02\n",
"99534 2.631007e-02\n",
"99535 2.631007e-02\n",
"99536 2.631007e-02\n",
"99537 2.631007e-02\n",
"99538 2.631007e-02\n",
"99539 2.631007e-02\n",
"99540 2.631007e-02\n",
"99541 2.631007e-02\n",
"99542 2.631007e-02\n",
"99543 2.631007e-02\n",
"99544 2.631007e-02\n",
"99545 2.631007e-02\n",
"99546 2.631007e-02\n",
"99547 2.631007e-02\n",
"99548 3.292699e-08\n",
"99549 2.631007e-02\n",
"99550 2.631007e-02\n",
"99551 2.631007e-02\n",
"99552 2.631007e-02\n",
"99553 2.631007e-02\n",
"99554 2.631007e-02\n",
"99555 2.631007e-02\n",
"99556 2.631007e-02\n",
"99557 2.631007e-02\n",
"99558 2.631007e-02\n",
"99559 2.631007e-02\n",
"99560 2.631007e-02\n",
"99561 2.631007e-02\n",
"99562 2.631007e-02\n",
"Name: <s> <s> <s>, Length: 99562, dtype: float64"
]
},
"execution_count": 239,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"srilms_values[r'<s> <s> <s>']"
]
},
{
"cell_type": "code",
"execution_count": 240,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f7740c90a20>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(srilms_values[r'<s> <s> <s>'],linestyle=\"\",marker=\"o\")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 241,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"99562\n"
]
},
{
"data": {
"image/png": 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ymWHWXQld5jD3YvJi4H3M7VVOS5d5vBf4w6r6Wn8Hf1q6zGEt8DPAy4FvAA8nebyqHh5v\niUPpMo/twLeZaxXcAHw8yUer6ux4S7yiLt/P1fLdhjHUkuRHgD8H7qiq+f96GZvVvEc/zD1pv7tM\n/5+j1wMXh1x3JXSZA0k2AH8N/FpVTez/9kPoMo9bgfcn+QLwduD3kuyfdMEL6Prz9I9V9VRVfYO5\nm+385MQrXliXebwZ+Ieq+lZVnQf+GZjGr+Z3+X6ulu9251qS/BDwd8C7q+pfxlzbM03jIMaQBzrW\nMtfX3cz3DnS8eN4yv8UzDzod7j9+Mc88GHuW6RyM7TKH5/aXf8PV/FnMW+Y9TO9gbJfP4gbgE8wd\nwFwLfBR4zVU4j7uAP2VuT/Q64NPAS1bjHAaWPcizD8Z+vv+Z3NB//LzV+lksMY91wMPA21ek1mn8\nBY3wF/mLwGeY6129qz/2+8Br+4+vZe5Mjhng34CbB9Z9V3+9M8DOq20OwLuZ66f++8CfH77a5jFv\nG+9hSkE/hp+nX2XuYPJJ4P3TmkPHn6nn9MdPMRfyv7OK5/By5vaYvw58BTg1sO6v9+c2A7x1lX8W\nC86j//P0rXnf75dOqk5/M1aSGreae/SSpDEw6CWpcQa9JDXOoJekxhn0ktQ4g16SGmfQS1LjDHpJ\natz/ApmDoXWz/9xAAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f7734ff1588>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(srilms_values[r'<s> <s> <s>'].size)\n",
"plt.hist(srilms_values[r'<s> <s> <s>'], 50, facecolor='green', alpha=0.75, log=True)\n",
"plt.show()"
]
},
{
"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": []
},
{
"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": []
},
{
"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": []
},
{
"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": []
},
{
"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": []
},
{
"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": 66,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 99563 entries, 0 to 99562\n",
"Data columns (total 6 columns):\n",
"words 99563 non-null object\n",
"<s> <s> \" 99563 non-null float64\n",
"<s> At the 99563 non-null float64\n",
"<s> \" The 99563 non-null float64\n",
"At the targeted 99563 non-null float64\n",
"\" The risk 99563 non-null float64\n",
"dtypes: float64(5), object(1)\n",
"memory usage: 4.6+ MB\n"
]
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['\" The risk', '<s> \" The', '<s> <s> \"', '<s> <s> At', '<s> At the',\n",
" 'At the targeted'],\n",
" dtype='object')"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df1.keys()"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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Ev2vMbZrwlaPtOnKWXh8u4/mv1nI85QJtry/PT8+24oEg1LsPthxH+rlcUGIP\nroqD/X3uWxZ4GYjHVaVwlfu+xwMTvgonvsl+ar8WNAyz6WpKXYkLGZm8v3AH437eSmp6JmWKFuTl\nO+rSreF1jp2EkJvTOzkuKGGM2eXelulz387AbGPMMff22UAC8LnlyFXYeGv2FsbN2erVp+fuldOt\n2XOcAd8msunAaQBuq38tw++sS7nihW2OzJrcJP0cF5S4wvvaV1BFBZQxhrgBXuVpgr24iVJBdyY1\nnX/M2szHS3ZhDFQoUZiRd9Wjc93ImHGWm6R/2QUlAnFfXV3Iefp9upofE/d72gXyCdte7WpjREpZ\nN3vDQYZ+t579J88D8Of4ygzqWodSRe0rkBZouUn6OS0okdN92/jcd77vTrq6kHOcv5BB7SEzvfrW\nDetESRurBipl1fp9J7n9X4s87cplrmL0PTfSsmbk1YLKTdK/7IISOZgFvCoiZdztTsCAK45ShYXW\nr89j99EUT7tRTGmmPNnCxoiUsiYz09BgxE+cPp/u6Xvwllhe6Hx9yNdxCJUcX1VuFpQQkabAFKAM\ncIeIDDfG1DXGHBORkbj+4wAY8cdFXeUcR8+k0uSVn736tECacrp5mw/x0EcrvPq+fvxm4mPL2hRR\naOTqv7KcFpQwxqzAderG330nAZMsxKhs5DsN84HmMYy6+0abolHKOn+nKB9oHsOQ2+uETfnjYIrM\nv1+UZb7r1IIWSFPO99myPQyckujV98PTt1KvUimbIgo9TfoqG9/R/ZDb69DnVi1/rJzrREoaDUfM\n9up7sk11nu1YK+pOU2rSVx6Ltx+h5/vLvPr0S1bKyYwxvDZzMxMWbPfq//m5VtSoEL7lj4NJk74C\nso/u3/9rPB3rXGNTNEpZt/dYCi3Heq/h8GJCbfq2qhb25Y+DSZN+lPN3jlNH98rJ0jMyefrzNcxY\nf8Crf+H/taVKWf22uCb9KOY7uo+2C1oq8qxLPsGd7/zq1Tfq7nr0bBajkxDcNOlHoT7/WcGcTYe8\n+nR0r5wsJS2de99bwsb9pzx9RQvlZ17/NlxTsoiNkYUfTfpRJCPTUH2gd4G0ef3bEOeQFX+U8ufn\nDQd55JOVXn3jejTkzgbOLX8cTJr0o0SD4T9x8twFrz4d3SsnO3w6lZZj53L+wsWK7jFlizK1XwvK\nFitkY2ThTZN+hDuTmk69l2d59a0d2imiqgaq6GKM4b9LdzPkuySv/g97x9P+Bp1xlhNN+hHM90Jt\nPoEdo3WcUWeXAAAPu0lEQVR0r5xrx+EztHvD+5viDauU5pM+zbTSay5p0o9A/uYnbxvVhQJR9s1D\nFTnS0jN5c/aWbF+y+uzR5txSvZxNUTmTJv0I4zu6bx5Xli8fu9mmaJSybtXuY9z73hKvvva1K/BO\nz8ZcVSjyC6QFmib9CLFy1zG6T/D+YOiFWuVkp85fYOC3ifywbr9X/5Qnb6FRTJlL3EvlRJN+BPAd\n3T/aMo5Bt9WxKRqlrDHGMCvpAI//d7VX/z2NKzH6nhspXEBH91Zo0newb1Yl8/xXa736dHSvnGz/\nyXM8+elq1uw54dU/4+8tueHakjZFFVk06TuU7+j+9e71+VN8lUvsra6UiCQA43CtFveBMWaMz/bn\ngEeAdOAw8LAxZnfIA40QGZmuaZgvT/OehvnIrXG81KW2TkIIIE36DjN6+kb+/csOrz4d3QeWiOQH\nxgMdgWRghYhMM8ZsyLLbGiDeGJMiIk8AY4H7Qh+t823cf4rek5Zz6HSqV//c51tTrXxxm6KKXJr0\nHcIYQ9wA7xIKXz1+M00jfD1PmzQDthljdgCIyBdAN8CT9I0xWefELgV6hTTCCHD+QgZvz9nKu/O9\np2H271SLJ9vUIF8Ulz8OJk36DnD/xKUs2XHUq09H90FVCdibpZ0MNL/M/n2AGf42iEhfoC9ATExM\noOJzvF+3HeGBD5Zl61/0Ylsql9Hyx8GkST+MpWdkUmOQdy7RmuAh4W+IafzuKNILiAda+9tujJkI\nTASIj4/3+xjR5NjZNEb9uJFvVid79Y/oVpe/3FRVC6SFgCb9MFVz0HQuZHjnCB3dh0wykPWqeGXg\nd9+dRKQDMAhobYxJ9d2uLjLGMPW3fTz75dps25YPak+FElr+OFQ06YeZk+cu0GD4T159icM6UULr\nioTSCqCmiMQB+4AeQM+sO4hII+DfQIIx5lD2h1B/2HM0hUFTE1m49YhX/z/va8hdjSrZFFX00qQf\nRnynYZYoXIDE4Z1tiiZ6GWPSReQpYBauKZuTjDFJIjICWGmMmQa8DhQHvnKfkthjjLnTtqDD0IWM\nTD5ctJMxMzZ59ZcoXICFL7aldFEtf2yHXCX9XMxZLgx8AjQBjgL3GWN2iUgssBHY7N51qTHm8cCE\nHjl2HjlL23/M9+rb/mrXqF682W7GmOnAdJ++oVludwh5UA6ydu8JXvxmHZsOnPbq/+Cv8XSoo+WP\n7ZRj0s/lnOU+wHFjTA0R6QG8xsU5y9uNMQ0DHHfE8B3dt7m+PP95qJlN0ShlzZnUdN74aTMf/brL\nq79auWJMe/pWihfWkwt2y807kOOcZXd7mPv218A7opfhL2vx9iP0fN97yppeqFVONmfjQQZ8m5jt\nS1afP3oTN1e/2qaolK/cJP3czFn27OM+H3oS+ONdjhORNcApYLAxZqG1kJ3Pd3T/dLsaPN/pepui\nUcqaQ6fOM/z7DfyY6F0Ns2lsGSb3aU6RglogLZzkJunnZs7ypfbZD8QYY46KSBNgqojUNcac8rpz\nlHyB5bNlexg4JdGrT0f3yqkyMw1frNjL8O+TSE3P9Nr2Xb8WNKhS2qbI1OXkJunnZs7yH/ski0gB\noBRwzBhjgFQAY8wqEdkO1AK8lq6Phi+w+I7u376/EXc2uM6maJSyZtuh0wz4NpEVu4579Xeuew3/\nur8xhQpogbRwlZukn+OcZWAa0BtYAnQH5hpjjIiUx5X8M0SkGlAT2EEUefm79Xy8xLv4oo7ulVOl\npmfw7rztjJuzNdu2n55tRa1rStgQlboSOSb9XM5Z/hCYLCLbgGO4/mMAaAWMEJF0IAN43BhzLBgv\nJNz4K5A2tV8LGuqfvMqhlu04ysApiWw/fNar//5mMbxyVz2dYuwQuZo/lYs5y+eBP/m53zfANxZj\ndJy7xv/Kb3u9F4HQ0b1yqpMpFxgzcyOfL9+bbdv8/m2ILVfMhqhUXumk2QBKS8+k1mDvAmlLBrTj\n2lJX2RSRUnlnjOHHxP0Mm7aBI2e8p2H2a1ud5zter+WPHUiTfoD4XqgFHd0r50o+nsLQ75KYuyl7\nWSEdyDibJn2Ljp9No9HI2V59G0Z0pmgh/dUq58nINPxn8S7e+GkzKWkZXtsGdb2BR1rGafljh9PM\nZIHv6P6akoVZNlBLsihnWr/vJAOnJLIu+WS2bSsHd6Bc8cI2RKUCTZN+Hmw7dJoOb/7i1bfj1a56\nflM50rm0DP758xY+WLSTjEzvr8mM7V6fP8dXucQ9lRNp0r9CvqP7rjdW5N0HmtgUjVLWLNhymMFT\nE9l77Fy2bWtf7kSpq3Qdh0ijST+XFmw5TO9Jy7369EKtcqojZ1J55YcNTP0t24JgTOjVhIR6FW2I\nSoWCJv1c8B3dv9D5evq1rWFTNErlnTGGr1clM2r6Rk6kXPDaVrJIAZYMaE8xLX8c0fTdvYyPft3J\n8O83ePXp6F451c4jZxn4bSJLdhzNtu2zR5pzS41yNkSlQk2T/iX4ju4n9GpMQr1rbYpGqbxLS8/k\n/YU7GDdnK2k+1TBrVCjOD0/fquWPo4gmfR//9/Va/rcy2atPR/fKqVbvOc6AbxLZfPB0tm1aCyo6\nadJ381cg7Yenb6VepVI2RaRU3p0+f4HXZ21m8tLdGJ9i5TdVK8vkPs0pmF/LH0cjTfpAp7cWsOXg\nGa8+Hd0rp5qVdICXv0viwKnz2bZp+WMV1Un//IUMag+Z6dW3fFB7KpQoYlNESuXdgZPneXnaemYl\nHcy27bb61/J2j0Za/lhFb9LXAmkqUmRmGj5dtpvXZm7mbFp6tu2/vNCWmKuL2hCZCkdRl/QPn06l\n6aifvfo2jUzQ2QvKkTYfOM2Ab9exes+JbNt631yVYXfW1QJpyktUJX3f0X1cuWLM69/GnmCUsuD8\nhQzembuNCQu2+z1ls2xge64pqacpVXZRkfQ37j9Fl3ELvfp2ju6qIyDlSIu3H2HQlPXsPOJatjA9\nS5G0ZzrU5O/ta+qxrS4p4pO+7+j+nsaVePPPDW2KRqm8O5lygVd+3MBXq5IpXTR7IbTVQzpStlgh\nGyJTThKxSX/2hoM8+slKrz69UKuc6tCp8/T8YJlndJ+1bs6IbnX5682xNkWmnCYik77v6H7wbTfw\nSMtqNkWjlDX7TpzjgfeXsutoSrZt8/q3IU4XJldXIKKS/nvzt/PazE1efTq6V06252gK97+/lH0n\nste7v79ZFU346opFTNL3Hd1PejCedrWvsSkapazbdugMHd5c4Hfbry+1o1JpXZxcXTnHJ/2nP1/D\n92u9F4LQ0b1yuumJ+3ny09XZ+j9+uBmta5W3ISIVKRyb9DMzDdUGehdIm/VMK66vqHVFlLP95cNl\nLNx6xKuvX9vq9O90vU7FVJblKumLSAIwDsgPfGCMGeOzvTDwCdAEOArcZ4zZ5d42AOgDZAB/M8bM\nshr0ra/NJfm49zlOHd2rQLJyzOeVv2+Li8DmkV0oVEArYqrAyDHpi0h+YDzQEUgGVojINGNM1iWl\n+gDHjTE1RKQH8Bpwn4jUAXoAdYHrgJ9FpJYxJiMvwZ5Ly+CGod4F0lYN7sDVxQvn5eGU8svKMZ/X\n5/RXC2rYHXV4sEVcXh9SKb9yM3xoBmwzxuwwxqQBXwDdfPbpBnzsvv010F5cf4d2A74wxqQaY3YC\n29yPd8VuenVOtoS/a8xtmvBVMFg55q9IRqbxm/Cf7VBLE74Kityc3qkE7M3STgaaX2ofY0y6iJwE\nrnb3L/W5byXfJxCRvkBfgJiYGL9BZK0NvvmVBAoX0AJpKmisHPNeJ+NzOrZ9y+aM69GQbg2zfUSU\nCpjcJH1/oxeTy31yc1+MMROBiQDx8fHZtgOsG9YJkwml/Hz9XKkAs3LMe3fkcGyLCPc0rkTrWuU1\n2auQyE3STwaqZGlXBn6/xD7JIlIAKAUcy+V9c6VkEU32KmSsHPNXTGtBqVDKzTn9FUBNEYkTkUK4\nLsxO89lnGtDbfbs7MNcYY9z9PUSksIjEATWB5YEJXamgsXLMKxXWchzpu89XPgXMwjV9bZIxJklE\nRgArjTHTgA+BySKyDddop4f7vkki8j9gA5AO9MvrzB2lQsXKMa9UuJNwG5yIyGFg9yU2l8PnQpnD\nRdLrcdJrqWqMCfnXWh1wbGsMzo4hV8d12CX9yxGRlcaYeLvjCJRIej2R9FrsEA6/P40hOmLQr/kp\npVQU0aSvlFJRxGlJf6LdAQRYJL2eSHotdgiH35/G4BLRMTjqnL5SSilrnDbSV0opZUHYJH0RSRCR\nzSKyTURe8rO9sIh86d6+TERis2wb4O7fLCKdQxm3P3l9LSISKyLnROQ398+EUMfuKxevpZWIrBaR\ndBHp7rOtt4hsdf/09r1vNLJynIcwhku+pyGM4TkR2SAi60RkjohUtSGGx0Uk0f1ZXOSuGhzSGLLs\n111EjIhYn9FjjLH9B9cXYLYD1YBCwFqgjs8+TwIT3Ld7AF+6b9dx718YiHM/Tn6HvpZYYL3d78cV\nvpZYoD6u2vLds/SXBXa4/y3jvl3G7tfkgN+n32MjHN7TEMfQFijqvv2ETb+Hkllu3wnMDHUM7v1K\nAL/gKl4Zb/V5w2WkHxblmwMkZGV5QyDH12KM2WWMWQdk+ty3MzDbGHPMGHMcmA0khCLoMBYOx4aV\n9zSUMcwzxqS4m0tx1T8KdQynsjSL4aegXrBjcBsJjAXO+9l2xcIl6fsrZetbctCrlC2QtXxzTvcN\nJSuvBSBORNaIyAIRaRnsYHNg5Xcbbu9LOLB6bIQqhmC70hj6ADPsiEFE+onIdlxJ92+hjkFEGgFV\njDE/BOpJwyXpB718cwhZeS37gRhjTCPgOeAzESkZ4PiuhJXfbbi9L+EgYCWbgxxDsOU6BhHpBcQD\nr9sRgzFmvDGmOvAiMDiUMYhIPuAt4PlAPmm4JP0rKWVLsMo3B0ieX4v7FNVRAGPMKlzn+2oFPeJL\ns/K7Dbf3JRxYOc5DGUOw5SoGEekADALuNMak2hFDFl8Ad4U4hhJAPWC+iOwCbgKmWb6YG+iLNHm8\noFEA14W+OC5e0Kjrs08/vC9w/c99uy7eF3J3YO+FXCuvpfwfseO6uLMPKBvOryXLvv8h+4Xcnbgu\n4pZx37bttYTDj5VjIxze0xD/HhrhGvTUtPG9qJnl9h24Kqza8l64959PAC7kBu0Az8MvoCuwxf1G\nD3L3jcD1vzxAEeArXBdqlwPVstx3kPt+m4EuTn0twL1AkvvNXw3c4YDX0hTXiOUscBRIynLfh92v\ncRvwkN2vJRx+rBzn4fCehjCGn4GDwG/un2k2xDDO/Xn8DZh3uYQcrBh89g1I0tdv5CqlVBQJl3P6\nSimlQkCTvlJKRRFN+kopFUU06SulVBTRpK+UUlFEk75SSkURTfpKKRVFNOkrpVQU+X9UASoW5rOT\nGAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fbd9cbc7048>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(1)\n",
"\n",
"plt.subplot(221)\n",
"plt.plot(ssA1, ssA10)\n",
"\n",
"plt.subplot(222)\n",
"plt.plot(att1, att10)\n",
"\n",
"plt.subplot(223)\n",
"plt.plot(ssq1, ssq10)\n",
"\n",
"plt.subplot(224)\n",
"plt.plot(qTr1, qTr10)\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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Yr6rPAYjIBuAaVV0DXFVYhrtWx1rgB6r6i3LkGM0WqpjodMOoFW3Vk+kIXH4o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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fbda77da198>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(1)\n",
"\n",
"plt.subplot(221)\n",
"#plt.semilogy(abs(ssA1 - ssA10),linestyle=\"\",marker=\"o\")\n",
"plt.hist2d(range(len(ssA1)), abs(ssA1 - ssA10), cmap=plt.cm.jet)\n",
"\n",
"plt.subplot(222)\n",
"plt.semilogy(abs(att1 - att10),linestyle=\"\",marker=\"o\")\n",
"\n",
"plt.subplot(223)\n",
"plt.semilogy(abs(ssq1 - ssq10),linestyle=\"\",marker=\"o\")\n",
"\n",
"plt.subplot(224)\n",
"plt.semilogy(abs(qTr1 - qTr10),linestyle=\"\",marker=\"o\")\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"[7.3551618773718182e-15,\n",
" 1.6461275032361949e-13,\n",
" 3.4525628799544682e-13,\n",
" 3.7028431338135931e-13,\n",
" 4.8267156784938843e-13,\n",
" 4.8267156784938843e-13,\n",
" 6.252188325305527e-13,\n",
" 6.252188325305527e-13,\n",
" 6.3992915629563609e-13,\n",
" 6.3992915629563609e-13,\n",
" 7.3760608700726722e-13,\n",
" 7.3760608700726722e-13,\n",
" 7.3760608700726722e-13,\n",
" 7.3760608700726722e-13,\n",
" 8.4560071935751182e-13,\n",
" 8.6031104311225545e-13,\n",
" 1.100535238498847e-12,\n",
" 1.1021773146583526e-12,\n",
" 1.3554697576542442e-12,\n",
" 1.3554697576542442e-12,\n",
" 1.5905619682371878e-12,\n",
" 1.5905619682371878e-12,\n",
" 1.5905619682371878e-12,\n",
" 1.6008796698708382e-12,\n",
" 1.7132669243380401e-12,\n",
" 1.7132669243380401e-12,\n",
" 1.7132669243380401e-12,\n",
" 1.7331092329129754e-12,\n",
" 1.8705245127718801e-12,\n",
" 1.9682014435074994e-12,\n",
" 2.2084256388874735e-12,\n",
" 2.4633601580461795e-12,\n",
" 2.5860651141519949e-12,\n",
" 2.5860651141519949e-12,\n",
" 2.9041239316909987e-12,\n",
" 2.9438622808382723e-12,\n",
" 2.9533868877803844e-12,\n",
" 2.9533868877803844e-12,\n",
" 2.9784149131563707e-12,\n",
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" 8.1163312625042596e-11,\n",
" 8.118315493360016e-11,\n",
" 8.1305859889717556e-11,\n",
" 8.1305859889717556e-11,\n",
" 8.1305859889717556e-11,\n",
" 8.1305859889717556e-11,\n",
" 8.1305859889717556e-11,\n",
" 8.1418247144180622e-11,\n",
" 8.1781176295697845e-11,\n",
" 8.2036110814841661e-11,\n",
" 8.2036110814841661e-11,\n",
" 8.2075849163983972e-11,\n",
" 8.2271203025422123e-11,\n",
" 8.2271203025422123e-11,\n",
" 8.2271203025422123e-11,\n",
" 8.230575565776421e-11,\n",
" 8.2413750290099979e-11,\n",
" 8.2413750290099979e-11,\n",
" 8.2413750290099979e-11,\n",
" 8.2413750290099979e-11,\n",
" 8.2526137544572558e-11,\n",
" 8.2526137544572558e-11,\n",
" 8.2526137544572558e-11,\n",
" 8.3266706171328659e-11,\n",
" 8.3266706171328659e-11,\n",
" 8.3281416495085057e-11,\n",
" 8.337909342580496e-11,\n",
" 8.337909342580496e-11,\n",
" 8.3462060032748612e-11,\n",
" 8.3487088058151896e-11,\n",
" 8.3634027944964493e-11,\n",
" 8.3996957096463517e-11,\n",
" 8.4232049307038603e-11,\n",
" 8.4232049307038603e-11,\n",
" 8.4232049307038603e-11,\n",
" 8.4316657990139693e-11,\n",
" 8.4364278870086944e-11,\n",
" 8.4374596571714804e-11,\n",
" 8.4374596571714804e-11,\n",
" 8.4486983826187796e-11,\n",
" 8.4546564483933166e-11,\n",
" 8.4594978458544658e-11,\n",
" 8.4594978458544658e-11,\n",
" 8.461921338924565e-11,\n",
" ...]"
]
},
"execution_count": 75,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sorted(abs(ssA1 - ssA10))"
]
},
{
"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": 84,
"metadata": {},
"outputs": [
{
"data": {
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eC3wGuK+avwfYWk3/DfB71fTvA39TTW8FPldNb6z2+UXAuuq1MLRYXxfAJ4F3V9NLgKVN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\nJQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fbda2760278>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(ssA1 - ssq1,linestyle=\"\",marker=\"o\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 133, 186, 207, ..., 7868, 81201, 247])"
]
},
"execution_count": 106,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"g = (ssA1 / ssq1)*100\n",
"g.argsort()\n",
"#g = np.flip(np.sort(g), -1)\n"
]
},
{
"cell_type": "code",
"execution_count": 104,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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9Tie713kX8ET6e1jKL+DqdLzbgb7ctj5F9r7kncAnc+l9wI60zlWMeejY5uM/kTda+xxF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\nmVkJOfibmZWQg7+ZWQk5+JuZldD/BxlxjSkHJxjUAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fbd9d6f92e8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gg = np.sign(g)*np.log(1+abs(g)/10**2)\n",
"plt.subplot(211)\n",
"plt.plot(g,linestyle=\"\",marker=\"o\")\n",
"\n",
"plt.subplot(212)\n",
"plt.plot(g,linestyle=\"\",marker=\"o\")\n",
"plt.yscale('symlog')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 105,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 7.62076753e+07, 2.08731188e+07, 8.02185275e+06, ...,\n",
" 2.71020659e-04, 2.49283367e-04, 1.28278064e-04])"
]
},
"execution_count": 105,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"g"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 3.00576942e-09, 3.63621140e-01, 3.72496366e-04,\n",
" 3.08567598e-07, 2.14449884e-04, 1.03260670e-04,\n",
" 6.61011107e-05, 1.93575186e-04, 7.41748766e-02,\n",
" 1.44726779e-04, 3.78029893e-04, 2.43114535e-05,\n",
" 2.48001899e-02, 5.96129953e-05, 6.02186129e-05])"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ssA1[0:15]"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 1.96008612e-09, 3.63494678e-01, 2.31494556e-04,\n",
" 9.71203650e-08, 1.13629453e-04, 6.31815210e-05,\n",
" 3.46025820e-05, 1.19150762e-04, 7.40434739e-02,\n",
" 8.94864533e-05, 4.04274554e-04, 1.31165141e-05,\n",
" 2.48451387e-02, 3.72712340e-05, 3.69968100e-05])"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ssA10[0:15]"
]
},
{
"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": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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