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domitry/RRI.ipynb

Created May 30, 2017 09:32
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RRI.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"from matplotlib import pylab"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas\n",
"from io import StringIO"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### ヘッダの削除"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"file = open(\"/home/naoki/data/1_478025.csv\")\n",
"text = file.read()\n",
"lines = text.split(\"\\n\")\n",
"rest = \"\\n\".join(lines[10:])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### データの読み込み"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [],
"source": [
"df = pandas.read_csv(StringIO(rest))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>R POINT[ms]</th>\n",
" <th>R-R[ms]</th>\n",
" <th>LABEL</th>\n",
" <th>CH1 ST LEVEL[mV]</th>\n",
" <th>CH2 ST LEVEL[mV]</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>120912</td>\n",
" <td>NG</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>121672</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>122440</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>123200</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>123968</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>124736</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>125496</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>126264</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>127032</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>127792</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>128560</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>129328</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>130096</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>130856</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>131616</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>132376</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>133144</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>133904</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>134664</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>135424</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>136184</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>136944</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>137704</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>138464</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>139224</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>139976</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>140488</td>\n",
" <td>512</td>\n",
" <td>V</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>141480</td>\n",
" <td>992</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>142256</td>\n",
" <td>776</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>143016</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115183</th>\n",
" <td>86001760</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115184</th>\n",
" <td>86002784</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115185</th>\n",
" <td>86004120</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115186</th>\n",
" <td>86008056</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115187</th>\n",
" <td>86009832</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115188</th>\n",
" <td>86010560</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115189</th>\n",
" <td>86011056</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115190</th>\n",
" <td>86011448</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115191</th>\n",
" <td>86012192</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115192</th>\n",
" <td>86013048</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115193</th>\n",
" <td>86013400</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115194</th>\n",
" <td>86014776</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115195</th>\n",
" <td>86015696</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115196</th>\n",
" <td>86016480</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115197</th>\n",
" <td>86017112</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115198</th>\n",
" <td>86020872</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115199</th>\n",
" <td>86022160</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115200</th>\n",
" <td>86030768</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115201</th>\n",
" <td>86038296</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115202</th>\n",
" <td>86043776</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115203</th>\n",
" <td>86044224</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115204</th>\n",
" <td>86047816</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115205</th>\n",
" <td>86049056</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115206</th>\n",
" <td>86049768</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115207</th>\n",
" <td>86051744</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115208</th>\n",
" <td>86052640</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115209</th>\n",
" <td>86053496</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115210</th>\n",
" <td>86054584</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115211</th>\n",
" <td>86056000</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115212</th>\n",
" <td>86058008</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>115213 rows × 5 columns</p>\n",
"</div>"
],
"text/plain": [
" R POINT[ms] R-R[ms] LABEL CH1 ST LEVEL[mV] CH2 ST LEVEL[mV]\n",
"0 120912 NG N +0.04 -0.04\n",
"1 121672 760 N +0.04 -0.04\n",
"2 122440 768 N +0.04 -0.04\n",
"3 123200 760 N +0.04 -0.03\n",
"4 123968 768 N +0.04 -0.03\n",
"5 124736 768 N +0.04 -0.03\n",
"6 125496 760 N +0.04 -0.03\n",
"7 126264 768 N +0.04 -0.03\n",
"8 127032 768 N +0.04 -0.03\n",
"9 127792 760 N +0.05 -0.03\n",
"10 128560 768 N +0.05 -0.03\n",
"11 129328 768 N +0.05 -0.03\n",
"12 130096 768 N +0.05 -0.03\n",
"13 130856 760 N +0.05 -0.03\n",
"14 131616 760 N +0.05 -0.03\n",
"15 132376 760 N +0.05 -0.03\n",
"16 133144 768 N +0.05 -0.03\n",
"17 133904 760 N +0.05 -0.03\n",
"18 134664 760 N +0.05 -0.03\n",
"19 135424 760 N +0.05 -0.03\n",
"20 136184 760 N +0.05 -0.04\n",
"21 136944 760 N +0.05 -0.03\n",
"22 137704 760 N +0.05 -0.03\n",
"23 138464 760 N +0.05 -0.03\n",
"24 139224 760 N +0.05 -0.03\n",
"25 139976 752 N +0.05 -0.03\n",
"26 140488 512 V NG NG\n",
"27 141480 992 N +0.05 -0.03\n",
"28 142256 776 N +0.05 -0.03\n",
"29 143016 760 N +0.05 -0.04\n",
"... ... ... ... ... ...\n",
"115183 86001760 NG NG NG NG\n",
"115184 86002784 NG NG NG NG\n",
"115185 86004120 NG NG NG NG\n",
"115186 86008056 NG NG NG NG\n",
"115187 86009832 NG NG NG NG\n",
"115188 86010560 NG NG NG NG\n",
"115189 86011056 NG NG NG NG\n",
"115190 86011448 NG NG NG NG\n",
"115191 86012192 NG NG NG NG\n",
"115192 86013048 NG NG NG NG\n",
"115193 86013400 NG NG NG NG\n",
"115194 86014776 NG NG NG NG\n",
"115195 86015696 NG NG NG NG\n",
"115196 86016480 NG NG NG NG\n",
"115197 86017112 NG NG NG NG\n",
"115198 86020872 NG NG NG NG\n",
"115199 86022160 NG NG NG NG\n",
"115200 86030768 NG NG NG NG\n",
"115201 86038296 NG NG NG NG\n",
"115202 86043776 NG NG NG NG\n",
"115203 86044224 NG NG NG NG\n",
"115204 86047816 NG NG NG NG\n",
"115205 86049056 NG NG NG NG\n",
"115206 86049768 NG NG NG NG\n",
"115207 86051744 NG NG NG NG\n",
"115208 86052640 NG NG NG NG\n",
"115209 86053496 NG NG NG NG\n",
"115210 86054584 NG NG NG NG\n",
"115211 86056000 NG NG NG NG\n",
"115212 86058008 NG NG NG NG\n",
"\n",
"[115213 rows x 5 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### R-Rの列からNGを除いて新しいデータフレームを作る"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>R POINT[ms]</th>\n",
" <th>R-R[ms]</th>\n",
" <th>LABEL</th>\n",
" <th>CH1 ST LEVEL[mV]</th>\n",
" <th>CH2 ST LEVEL[mV]</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>121672</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>122440</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>123200</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>123968</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>124736</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>125496</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>126264</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>127032</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>127792</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>128560</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>129328</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>130096</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>130856</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>131616</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>132376</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>133144</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>133904</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>134664</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>135424</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>136184</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>136944</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>137704</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>138464</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>139224</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>139976</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>140488</td>\n",
" <td>512</td>\n",
" <td>V</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>141480</td>\n",
" <td>992</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>142256</td>\n",
" <td>776</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>143016</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>143768</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115137</th>\n",
" <td>85947344</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>+0.08</td>\n",
" <td>-0.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115138</th>\n",
" <td>85948040</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.08</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115139</th>\n",
" <td>85948744</td>\n",
" <td>704</td>\n",
" <td>N</td>\n",
" <td>+0.08</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115140</th>\n",
" <td>85949440</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.08</td>\n",
" <td>-0.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115141</th>\n",
" <td>85950136</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>-0.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115142</th>\n",
" <td>85950832</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>-0.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115143</th>\n",
" <td>85951528</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115144</th>\n",
" <td>85952224</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115145</th>\n",
" <td>85952920</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115146</th>\n",
" <td>85953616</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115147</th>\n",
" <td>85954312</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115148</th>\n",
" <td>85955008</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115149</th>\n",
" <td>85955704</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.06</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115150</th>\n",
" <td>85956392</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115151</th>\n",
" <td>85957088</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115152</th>\n",
" <td>85957784</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115153</th>\n",
" <td>85958472</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115154</th>\n",
" <td>85959168</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115155</th>\n",
" <td>85959856</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115162</th>\n",
" <td>85966072</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115163</th>\n",
" <td>85966760</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115164</th>\n",
" <td>85967448</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115165</th>\n",
" <td>85968136</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115166</th>\n",
" <td>85968824</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115167</th>\n",
" <td>85969512</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115168</th>\n",
" <td>85970200</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115169</th>\n",
" <td>85970888</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115170</th>\n",
" <td>85971576</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115171</th>\n",
" <td>85972256</td>\n",
" <td>680</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115172</th>\n",
" <td>85972944</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>115102 rows × 5 columns</p>\n",
"</div>"
],
"text/plain": [
" R POINT[ms] R-R[ms] LABEL CH1 ST LEVEL[mV] CH2 ST LEVEL[mV]\n",
"1 121672 760 N +0.04 -0.04\n",
"2 122440 768 N +0.04 -0.04\n",
"3 123200 760 N +0.04 -0.03\n",
"4 123968 768 N +0.04 -0.03\n",
"5 124736 768 N +0.04 -0.03\n",
"6 125496 760 N +0.04 -0.03\n",
"7 126264 768 N +0.04 -0.03\n",
"8 127032 768 N +0.04 -0.03\n",
"9 127792 760 N +0.05 -0.03\n",
"10 128560 768 N +0.05 -0.03\n",
"11 129328 768 N +0.05 -0.03\n",
"12 130096 768 N +0.05 -0.03\n",
"13 130856 760 N +0.05 -0.03\n",
"14 131616 760 N +0.05 -0.03\n",
"15 132376 760 N +0.05 -0.03\n",
"16 133144 768 N +0.05 -0.03\n",
"17 133904 760 N +0.05 -0.03\n",
"18 134664 760 N +0.05 -0.03\n",
"19 135424 760 N +0.05 -0.03\n",
"20 136184 760 N +0.05 -0.04\n",
"21 136944 760 N +0.05 -0.03\n",
"22 137704 760 N +0.05 -0.03\n",
"23 138464 760 N +0.05 -0.03\n",
"24 139224 760 N +0.05 -0.03\n",
"25 139976 752 N +0.05 -0.03\n",
"26 140488 512 V NG NG\n",
"27 141480 992 N +0.05 -0.03\n",
"28 142256 776 N +0.05 -0.03\n",
"29 143016 760 N +0.05 -0.04\n",
"30 143768 752 N +0.05 -0.03\n",
"... ... ... ... ... ...\n",
"115137 85947344 688 N +0.08 -0.05\n",
"115138 85948040 696 N +0.08 -0.04\n",
"115139 85948744 704 N +0.08 -0.04\n",
"115140 85949440 696 N +0.08 -0.05\n",
"115141 85950136 696 N +0.07 -0.05\n",
"115142 85950832 696 N +0.07 -0.05\n",
"115143 85951528 696 N +0.07 -0.04\n",
"115144 85952224 696 N +0.07 NG\n",
"115145 85952920 696 N +0.07 NG\n",
"115146 85953616 696 N +0.07 NG\n",
"115147 85954312 696 N +0.07 NG\n",
"115148 85955008 696 N +0.07 NG\n",
"115149 85955704 696 N +0.06 NG\n",
"115150 85956392 688 N +0.05 NG\n",
"115151 85957088 696 N +0.05 NG\n",
"115152 85957784 696 N +0.05 NG\n",
"115153 85958472 688 N NG NG\n",
"115154 85959168 696 N NG NG\n",
"115155 85959856 688 N NG NG\n",
"115162 85966072 688 N NG NG\n",
"115163 85966760 688 N NG NG\n",
"115164 85967448 688 N NG NG\n",
"115165 85968136 688 N NG NG\n",
"115166 85968824 688 N NG NG\n",
"115167 85969512 688 N NG NG\n",
"115168 85970200 688 N NG NG\n",
"115169 85970888 688 N NG NG\n",
"115170 85971576 688 N NG NG\n",
"115171 85972256 680 N NG NG\n",
"115172 85972944 688 N NG NG\n",
"\n",
"[115102 rows x 5 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[df[\"R-R[ms]\"] != \"NG\"]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>R POINT[ms]</th>\n",
" <th>R-R[ms]</th>\n",
" <th>LABEL</th>\n",
" <th>CH1 ST LEVEL[mV]</th>\n",
" <th>CH2 ST LEVEL[mV]</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>121672</td>\n",
" <td>760</td>\n",
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" <td>+0.04</td>\n",
" <td>-0.04</td>\n",
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" <tr>\n",
" <th>2</th>\n",
" <td>122440</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.04</td>\n",
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" <tr>\n",
" <th>3</th>\n",
" <td>123200</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
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" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>123968</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>124736</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>125496</td>\n",
" <td>760</td>\n",
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" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>126264</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>127032</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>127792</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>128560</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>129328</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>130096</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>130856</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>131616</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>132376</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>133144</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>133904</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>134664</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>135424</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>136184</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>136944</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>137704</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>138464</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>139224</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>139976</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>141480</td>\n",
" <td>992</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>142256</td>\n",
" <td>776</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>143016</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>143768</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>144528</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115137</th>\n",
" <td>85947344</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>+0.08</td>\n",
" <td>-0.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115138</th>\n",
" <td>85948040</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.08</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115139</th>\n",
" <td>85948744</td>\n",
" <td>704</td>\n",
" <td>N</td>\n",
" <td>+0.08</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115140</th>\n",
" <td>85949440</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.08</td>\n",
" <td>-0.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115141</th>\n",
" <td>85950136</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>-0.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115142</th>\n",
" <td>85950832</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>-0.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115143</th>\n",
" <td>85951528</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>-0.04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115144</th>\n",
" <td>85952224</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115145</th>\n",
" <td>85952920</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115146</th>\n",
" <td>85953616</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115147</th>\n",
" <td>85954312</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115148</th>\n",
" <td>85955008</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115149</th>\n",
" <td>85955704</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.06</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115150</th>\n",
" <td>85956392</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115151</th>\n",
" <td>85957088</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115152</th>\n",
" <td>85957784</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115153</th>\n",
" <td>85958472</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115154</th>\n",
" <td>85959168</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115155</th>\n",
" <td>85959856</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115162</th>\n",
" <td>85966072</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115163</th>\n",
" <td>85966760</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115164</th>\n",
" <td>85967448</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115165</th>\n",
" <td>85968136</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115166</th>\n",
" <td>85968824</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115167</th>\n",
" <td>85969512</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115168</th>\n",
" <td>85970200</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115169</th>\n",
" <td>85970888</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115170</th>\n",
" <td>85971576</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115171</th>\n",
" <td>85972256</td>\n",
" <td>680</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115172</th>\n",
" <td>85972944</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>113122 rows × 5 columns</p>\n",
"</div>"
],
"text/plain": [
" R POINT[ms] R-R[ms] LABEL CH1 ST LEVEL[mV] CH2 ST LEVEL[mV]\n",
"1 121672 760 N +0.04 -0.04\n",
"2 122440 768 N +0.04 -0.04\n",
"3 123200 760 N +0.04 -0.03\n",
"4 123968 768 N +0.04 -0.03\n",
"5 124736 768 N +0.04 -0.03\n",
"6 125496 760 N +0.04 -0.03\n",
"7 126264 768 N +0.04 -0.03\n",
"8 127032 768 N +0.04 -0.03\n",
"9 127792 760 N +0.05 -0.03\n",
"10 128560 768 N +0.05 -0.03\n",
"11 129328 768 N +0.05 -0.03\n",
"12 130096 768 N +0.05 -0.03\n",
"13 130856 760 N +0.05 -0.03\n",
"14 131616 760 N +0.05 -0.03\n",
"15 132376 760 N +0.05 -0.03\n",
"16 133144 768 N +0.05 -0.03\n",
"17 133904 760 N +0.05 -0.03\n",
"18 134664 760 N +0.05 -0.03\n",
"19 135424 760 N +0.05 -0.03\n",
"20 136184 760 N +0.05 -0.04\n",
"21 136944 760 N +0.05 -0.03\n",
"22 137704 760 N +0.05 -0.03\n",
"23 138464 760 N +0.05 -0.03\n",
"24 139224 760 N +0.05 -0.03\n",
"25 139976 752 N +0.05 -0.03\n",
"27 141480 992 N +0.05 -0.03\n",
"28 142256 776 N +0.05 -0.03\n",
"29 143016 760 N +0.05 -0.04\n",
"30 143768 752 N +0.05 -0.03\n",
"31 144528 760 N +0.05 -0.03\n",
"... ... ... ... ... ...\n",
"115137 85947344 688 N +0.08 -0.05\n",
"115138 85948040 696 N +0.08 -0.04\n",
"115139 85948744 704 N +0.08 -0.04\n",
"115140 85949440 696 N +0.08 -0.05\n",
"115141 85950136 696 N +0.07 -0.05\n",
"115142 85950832 696 N +0.07 -0.05\n",
"115143 85951528 696 N +0.07 -0.04\n",
"115144 85952224 696 N +0.07 NG\n",
"115145 85952920 696 N +0.07 NG\n",
"115146 85953616 696 N +0.07 NG\n",
"115147 85954312 696 N +0.07 NG\n",
"115148 85955008 696 N +0.07 NG\n",
"115149 85955704 696 N +0.06 NG\n",
"115150 85956392 688 N +0.05 NG\n",
"115151 85957088 696 N +0.05 NG\n",
"115152 85957784 696 N +0.05 NG\n",
"115153 85958472 688 N NG NG\n",
"115154 85959168 696 N NG NG\n",
"115155 85959856 688 N NG NG\n",
"115162 85966072 688 N NG NG\n",
"115163 85966760 688 N NG NG\n",
"115164 85967448 688 N NG NG\n",
"115165 85968136 688 N NG NG\n",
"115166 85968824 688 N NG NG\n",
"115167 85969512 688 N NG NG\n",
"115168 85970200 688 N NG NG\n",
"115169 85970888 688 N NG NG\n",
"115170 85971576 688 N NG NG\n",
"115171 85972256 680 N NG NG\n",
"115172 85972944 688 N NG NG\n",
"\n",
"[113122 rows x 5 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"newdf = df[df[\"R-R[ms]\"] != \"NG\"]\n",
"newdf = newdf[newdf[\"LABEL\"] == \"N\"]\n",
"newdf"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### \"NG\"を含むため文字列として扱われていた列\"R-R[ms]\"を数値に変換し，新しい行\"RRn\"として結合する"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>R POINT[ms]</th>\n",
" <th>R-R[ms]</th>\n",
" <th>LABEL</th>\n",
" <th>CH1 ST LEVEL[mV]</th>\n",
" <th>CH2 ST LEVEL[mV]</th>\n",
" <th>RRn</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>121672</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.04</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>122440</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.04</td>\n",
" <td>768</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>123200</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>123968</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" <td>768</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>124736</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" <td>768</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>125496</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>126264</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" <td>768</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>127032</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
" <td>768</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>127792</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>128560</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>768</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>129328</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>768</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>130096</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>768</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>130856</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>131616</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>132376</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>133144</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>768</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>133904</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>134664</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>135424</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>136184</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>136944</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>137704</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>138464</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>139224</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>139976</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>141480</td>\n",
" <td>992</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>992</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>142256</td>\n",
" <td>776</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>776</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>143016</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>143768</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>144528</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</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",
" </tr>\n",
" <tr>\n",
" <th>115137</th>\n",
" <td>85947344</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>+0.08</td>\n",
" <td>-0.05</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115138</th>\n",
" <td>85948040</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.08</td>\n",
" <td>-0.04</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115139</th>\n",
" <td>85948744</td>\n",
" <td>704</td>\n",
" <td>N</td>\n",
" <td>+0.08</td>\n",
" <td>-0.04</td>\n",
" <td>704</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115140</th>\n",
" <td>85949440</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.08</td>\n",
" <td>-0.05</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115141</th>\n",
" <td>85950136</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>-0.05</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115142</th>\n",
" <td>85950832</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>-0.05</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115143</th>\n",
" <td>85951528</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>-0.04</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115144</th>\n",
" <td>85952224</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115145</th>\n",
" <td>85952920</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115146</th>\n",
" <td>85953616</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115147</th>\n",
" <td>85954312</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115148</th>\n",
" <td>85955008</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.07</td>\n",
" <td>NG</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115149</th>\n",
" <td>85955704</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.06</td>\n",
" <td>NG</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115150</th>\n",
" <td>85956392</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115151</th>\n",
" <td>85957088</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>NG</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115152</th>\n",
" <td>85957784</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>NG</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115153</th>\n",
" <td>85958472</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115154</th>\n",
" <td>85959168</td>\n",
" <td>696</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115155</th>\n",
" <td>85959856</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115162</th>\n",
" <td>85966072</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115163</th>\n",
" <td>85966760</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115164</th>\n",
" <td>85967448</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115165</th>\n",
" <td>85968136</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115166</th>\n",
" <td>85968824</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115167</th>\n",
" <td>85969512</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115168</th>\n",
" <td>85970200</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115169</th>\n",
" <td>85970888</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115170</th>\n",
" <td>85971576</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115171</th>\n",
" <td>85972256</td>\n",
" <td>680</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>680</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115172</th>\n",
" <td>85972944</td>\n",
" <td>688</td>\n",
" <td>N</td>\n",
" <td>NG</td>\n",
" <td>NG</td>\n",
" <td>688</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>113122 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" R POINT[ms] R-R[ms] LABEL CH1 ST LEVEL[mV] CH2 ST LEVEL[mV] RRn\n",
"1 121672 760 N +0.04 -0.04 760\n",
"2 122440 768 N +0.04 -0.04 768\n",
"3 123200 760 N +0.04 -0.03 760\n",
"4 123968 768 N +0.04 -0.03 768\n",
"5 124736 768 N +0.04 -0.03 768\n",
"6 125496 760 N +0.04 -0.03 760\n",
"7 126264 768 N +0.04 -0.03 768\n",
"8 127032 768 N +0.04 -0.03 768\n",
"9 127792 760 N +0.05 -0.03 760\n",
"10 128560 768 N +0.05 -0.03 768\n",
"11 129328 768 N +0.05 -0.03 768\n",
"12 130096 768 N +0.05 -0.03 768\n",
"13 130856 760 N +0.05 -0.03 760\n",
"14 131616 760 N +0.05 -0.03 760\n",
"15 132376 760 N +0.05 -0.03 760\n",
"16 133144 768 N +0.05 -0.03 768\n",
"17 133904 760 N +0.05 -0.03 760\n",
"18 134664 760 N +0.05 -0.03 760\n",
"19 135424 760 N +0.05 -0.03 760\n",
"20 136184 760 N +0.05 -0.04 760\n",
"21 136944 760 N +0.05 -0.03 760\n",
"22 137704 760 N +0.05 -0.03 760\n",
"23 138464 760 N +0.05 -0.03 760\n",
"24 139224 760 N +0.05 -0.03 760\n",
"25 139976 752 N +0.05 -0.03 752\n",
"27 141480 992 N +0.05 -0.03 992\n",
"28 142256 776 N +0.05 -0.03 776\n",
"29 143016 760 N +0.05 -0.04 760\n",
"30 143768 752 N +0.05 -0.03 752\n",
"31 144528 760 N +0.05 -0.03 760\n",
"... ... ... ... ... ... ...\n",
"115137 85947344 688 N +0.08 -0.05 688\n",
"115138 85948040 696 N +0.08 -0.04 696\n",
"115139 85948744 704 N +0.08 -0.04 704\n",
"115140 85949440 696 N +0.08 -0.05 696\n",
"115141 85950136 696 N +0.07 -0.05 696\n",
"115142 85950832 696 N +0.07 -0.05 696\n",
"115143 85951528 696 N +0.07 -0.04 696\n",
"115144 85952224 696 N +0.07 NG 696\n",
"115145 85952920 696 N +0.07 NG 696\n",
"115146 85953616 696 N +0.07 NG 696\n",
"115147 85954312 696 N +0.07 NG 696\n",
"115148 85955008 696 N +0.07 NG 696\n",
"115149 85955704 696 N +0.06 NG 696\n",
"115150 85956392 688 N +0.05 NG 688\n",
"115151 85957088 696 N +0.05 NG 696\n",
"115152 85957784 696 N +0.05 NG 696\n",
"115153 85958472 688 N NG NG 688\n",
"115154 85959168 696 N NG NG 696\n",
"115155 85959856 688 N NG NG 688\n",
"115162 85966072 688 N NG NG 688\n",
"115163 85966760 688 N NG NG 688\n",
"115164 85967448 688 N NG NG 688\n",
"115165 85968136 688 N NG NG 688\n",
"115166 85968824 688 N NG NG 688\n",
"115167 85969512 688 N NG NG 688\n",
"115168 85970200 688 N NG NG 688\n",
"115169 85970888 688 N NG NG 688\n",
"115170 85971576 688 N NG NG 688\n",
"115171 85972256 680 N NG NG 680\n",
"115172 85972944 688 N NG NG 688\n",
"\n",
"[113122 rows x 6 columns]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"newdf[\"RRn\"] = pandas.to_numeric(newdf[\"R-R[ms]\"])\n",
"newdf"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fb18a1bb9e8>"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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fQT5CWEmCgBBCxDEJAkIIEcckCAghRByTICCEEHFMgoAQQsQxCQJCCBHHJAgI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\nJkFACCHimAQBIYSIY/8P3+gv4X1k1OoAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fb18a1bb7f0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"newdf.plot(\"R POINT[ms]\", \"RRn\")"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fb18a65b400>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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PvAzcCFwHPGDv8wBwvX37OuARY0yXMeYAUIUVQE5r4SAQHuxJZWuUUiOZL9DdE0jGuaK7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\nTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fb18a5ce588>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"newdf[:200].plot(\"R POINT[ms]\", \"RRn\")"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>R POINT[ms]</th>\n",
" <th>R-R[ms]</th>\n",
" <th>LABEL</th>\n",
" <th>CH1 ST LEVEL[mV]</th>\n",
" <th>CH2 ST LEVEL[mV]</th>\n",
" <th>RRn</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>141480</td>\n",
" <td>992</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>992</td>\n",
" </tr>\n",
" <tr>\n",
" <th>189</th>\n",
" <td>263848</td>\n",
" <td>984</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>984</td>\n",
" </tr>\n",
" <tr>\n",
" <th>194</th>\n",
" <td>267616</td>\n",
" <td>840</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>840</td>\n",
" </tr>\n",
" <tr>\n",
" <th>202</th>\n",
" <td>273592</td>\n",
" <td>1056</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>1056</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" R POINT[ms] R-R[ms] LABEL CH1 ST LEVEL[mV] CH2 ST LEVEL[mV] RRn\n",
"27 141480 992 N +0.05 -0.03 992\n",
"189 263848 984 N +0.05 -0.04 984\n",
"194 267616 840 N +0.05 -0.04 840\n",
"202 273592 1056 N +0.05 -0.04 1056"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"part = newdf[:200]\n",
"part[part[\"RRn\"] > 800]"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
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" <th>R POINT[ms]</th>\n",
" <th>R-R[ms]</th>\n",
" <th>LABEL</th>\n",
" <th>CH1 ST LEVEL[mV]</th>\n",
" <th>CH2 ST LEVEL[mV]</th>\n",
" <th>RRn</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>121672</td>\n",
" <td>760</td>\n",
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" <td>N</td>\n",
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" <th>6</th>\n",
" <td>125496</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
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" <td>+0.04</td>\n",
" <td>-0.03</td>\n",
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" <td>-0.03</td>\n",
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" <td>768</td>\n",
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" <td>-0.03</td>\n",
" <td>768</td>\n",
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" <tr>\n",
" <th>12</th>\n",
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" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>768</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>130856</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>131616</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>132376</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>133144</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>768</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>133904</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>134664</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>135424</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>136184</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>136944</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>137704</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>138464</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>139224</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>139976</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>141480</td>\n",
" <td>992</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>992</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>142256</td>\n",
" <td>776</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>776</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>143016</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>143768</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>144528</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</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",
" </tr>\n",
" <tr>\n",
" <th>172</th>\n",
" <td>251072</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.06</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>173</th>\n",
" <td>251824</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>174</th>\n",
" <td>252584</td>\n",
" <td>760</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>175</th>\n",
" <td>253336</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.06</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>176</th>\n",
" <td>254088</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>177</th>\n",
" <td>254840</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>178</th>\n",
" <td>255592</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>179</th>\n",
" <td>256344</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>180</th>\n",
" <td>257096</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>181</th>\n",
" <td>257840</td>\n",
" <td>744</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>744</td>\n",
" </tr>\n",
" <tr>\n",
" <th>182</th>\n",
" <td>258592</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>183</th>\n",
" <td>259344</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>184</th>\n",
" <td>260096</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>185</th>\n",
" <td>260848</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>186</th>\n",
" <td>261600</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>187</th>\n",
" <td>262352</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>189</th>\n",
" <td>263848</td>\n",
" <td>984</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>984</td>\n",
" </tr>\n",
" <tr>\n",
" <th>190</th>\n",
" <td>264616</td>\n",
" <td>768</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>768</td>\n",
" </tr>\n",
" <tr>\n",
" <th>191</th>\n",
" <td>265368</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>192</th>\n",
" <td>266120</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>194</th>\n",
" <td>267616</td>\n",
" <td>840</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>840</td>\n",
" </tr>\n",
" <tr>\n",
" <th>195</th>\n",
" <td>268360</td>\n",
" <td>744</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>744</td>\n",
" </tr>\n",
" <tr>\n",
" <th>196</th>\n",
" <td>269112</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>197</th>\n",
" <td>269864</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>198</th>\n",
" <td>270608</td>\n",
" <td>744</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>744</td>\n",
" </tr>\n",
" <tr>\n",
" <th>199</th>\n",
" <td>271352</td>\n",
" <td>744</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>744</td>\n",
" </tr>\n",
" <tr>\n",
" <th>200</th>\n",
" <td>272104</td>\n",
" <td>752</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.03</td>\n",
" <td>752</td>\n",
" </tr>\n",
" <tr>\n",
" <th>202</th>\n",
" <td>273592</td>\n",
" <td>1056</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>1056</td>\n",
" </tr>\n",
" <tr>\n",
" <th>203</th>\n",
" <td>274368</td>\n",
" <td>776</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>776</td>\n",
" </tr>\n",
" <tr>\n",
" <th>204</th>\n",
" <td>275112</td>\n",
" <td>744</td>\n",
" <td>N</td>\n",
" <td>+0.05</td>\n",
" <td>-0.04</td>\n",
" <td>744</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>200 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" R POINT[ms] R-R[ms] LABEL CH1 ST LEVEL[mV] CH2 ST LEVEL[mV] RRn\n",
"1 121672 760 N +0.04 -0.04 760\n",
"2 122440 768 N +0.04 -0.04 768\n",
"3 123200 760 N +0.04 -0.03 760\n",
"4 123968 768 N +0.04 -0.03 768\n",
"5 124736 768 N +0.04 -0.03 768\n",
"6 125496 760 N +0.04 -0.03 760\n",
"7 126264 768 N +0.04 -0.03 768\n",
"8 127032 768 N +0.04 -0.03 768\n",
"9 127792 760 N +0.05 -0.03 760\n",
"10 128560 768 N +0.05 -0.03 768\n",
"11 129328 768 N +0.05 -0.03 768\n",
"12 130096 768 N +0.05 -0.03 768\n",
"13 130856 760 N +0.05 -0.03 760\n",
"14 131616 760 N +0.05 -0.03 760\n",
"15 132376 760 N +0.05 -0.03 760\n",
"16 133144 768 N +0.05 -0.03 768\n",
"17 133904 760 N +0.05 -0.03 760\n",
"18 134664 760 N +0.05 -0.03 760\n",
"19 135424 760 N +0.05 -0.03 760\n",
"20 136184 760 N +0.05 -0.04 760\n",
"21 136944 760 N +0.05 -0.03 760\n",
"22 137704 760 N +0.05 -0.03 760\n",
"23 138464 760 N +0.05 -0.03 760\n",
"24 139224 760 N +0.05 -0.03 760\n",
"25 139976 752 N +0.05 -0.03 752\n",
"27 141480 992 N +0.05 -0.03 992\n",
"28 142256 776 N +0.05 -0.03 776\n",
"29 143016 760 N +0.05 -0.04 760\n",
"30 143768 752 N +0.05 -0.03 752\n",
"31 144528 760 N +0.05 -0.03 760\n",
".. ... ... ... ... ... ...\n",
"172 251072 752 N +0.06 -0.03 752\n",
"173 251824 752 N +0.05 -0.03 752\n",
"174 252584 760 N +0.05 -0.03 760\n",
"175 253336 752 N +0.06 -0.03 752\n",
"176 254088 752 N +0.05 -0.03 752\n",
"177 254840 752 N +0.05 -0.03 752\n",
"178 255592 752 N +0.05 -0.04 752\n",
"179 256344 752 N +0.05 -0.04 752\n",
"180 257096 752 N +0.05 -0.04 752\n",
"181 257840 744 N +0.05 -0.03 744\n",
"182 258592 752 N +0.05 -0.03 752\n",
"183 259344 752 N +0.05 -0.04 752\n",
"184 260096 752 N +0.05 -0.04 752\n",
"185 260848 752 N +0.05 -0.04 752\n",
"186 261600 752 N +0.05 -0.04 752\n",
"187 262352 752 N +0.05 -0.04 752\n",
"189 263848 984 N +0.05 -0.04 984\n",
"190 264616 768 N +0.05 -0.04 768\n",
"191 265368 752 N +0.05 -0.04 752\n",
"192 266120 752 N +0.05 -0.04 752\n",
"194 267616 840 N +0.05 -0.04 840\n",
"195 268360 744 N +0.05 -0.03 744\n",
"196 269112 752 N +0.05 -0.03 752\n",
"197 269864 752 N +0.05 -0.03 752\n",
"198 270608 744 N +0.05 -0.03 744\n",
"199 271352 744 N +0.05 -0.03 744\n",
"200 272104 752 N +0.05 -0.03 752\n",
"202 273592 1056 N +0.05 -0.04 1056\n",
"203 274368 776 N +0.05 -0.04 776\n",
"204 275112 744 N +0.05 -0.04 744\n",
"\n",
"[200 rows x 6 columns]"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"part"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
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"name": "ipython",
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