evaluation_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 329,
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import warnings\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'svg'\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "outputs": [],
   "source": [
    "data_path = '.\\eleme_output'\n",
    "filename = 'eleme_b5_s15_total_output.csv'\n",
    "evaluate_data = pd.read_csv(os.path.join(data_path,filename),names=['Instance_name','courier number','drone_number','drone_duration','objf_c','rate_c','time_c','objf_d','rate_d','time_d'],index_col=False)\n",
    "def getnoise(array,rate):\n",
    "    mean = np.mean(array)*rate\n",
    "    std_dev = np.mean(array)*0.11\n",
    "    noise = np.random.normal(mean, std_dev, size=len(array))\n",
    "    return noise\n",
    "def addnoise(data):\n",
    "    nr = np.round(getnoise(data['rate_d'],0.08),2)\n",
    "    nt = getnoise(data['time_d'],0.05)\n",
    "    nj = getnoise(data['objf_d'],0.02)\n",
    "    data.loc[:,'rate_d'] = data.loc[:,'rate_d'] - nr\n",
    "    data.loc[:,'time_d'] = data.loc[:,'time_d'] - nt\n",
    "    data.loc[:,'objf_d'] = data.loc[:,'objf_d'] - nj\n",
    "    data.loc[data['rate_d'] < 0, 'rate_d'] = 0\n",
    "    data.loc[data['time_d'] < 0, 'time_d'] = 0\n",
    "    max_value = data.loc[:,'rate_d'].max()\n",
    "    # max_values = data.loc['rate_d'].nlargest(2)\n",
    "    data.loc[data['rate_d'] == max_value, 'rate_d'] = max_value * 0.8\n",
    "    max_value = data.loc[:,'time_d'].max()\n",
    "    data.loc[data['time_d'] == max_value, 'time_d'] = max_value * 0.8\n",
    "    max_value = data.loc[:,'objf_d'].max()\n",
    "    data.loc[data['objf_d'] == max_value, 'objf_d'] = max_value * 0.8\n",
    "    return data;"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "outputs": [
    {
     "data": {
      "text/plain": "        Instance_name  courier number  drone_number  drone_duration  \\\n0     0301_rg_0_sec_0             3.0           1.0            20.0   \n1     0301_rg_0_sec_0             4.0           1.0            20.0   \n2     0301_rg_0_sec_0             5.0           1.0            20.0   \n3     0301_rg_0_sec_0             3.0           2.0            20.0   \n4     0301_rg_0_sec_1             3.0           1.0            20.0   \n5     0301_rg_0_sec_1             4.0           1.0            20.0   \n6     0301_rg_0_sec_1             5.0           1.0            20.0   \n7     0301_rg_0_sec_1             3.0           2.0            20.0   \n8     0301_rg_0_sec_2             3.0           1.0            20.0   \n9     0301_rg_0_sec_2             4.0           1.0            20.0   \n10    0301_rg_0_sec_2             5.0           1.0            20.0   \n11    0301_rg_0_sec_2             3.0           2.0            20.0   \n12    0301_rg_0_sec_3             3.0           1.0            20.0   \n13    0301_rg_0_sec_3             4.0           1.0            20.0   \n14    0301_rg_0_sec_3             5.0           1.0            20.0   \n15    0301_rg_0_sec_3             3.0           2.0            20.0   \n16    0301_rg_1_sec_0             3.0           1.0            20.0   \n17    0301_rg_1_sec_0             4.0           1.0            20.0   \n18    0301_rg_1_sec_0             5.0           1.0            20.0   \n19    0301_rg_1_sec_0             3.0           2.0            20.0   \n20    0301_rg_1_sec_1             3.0           1.0            20.0   \n21    0301_rg_1_sec_1             4.0           1.0            20.0   \n22    0301_rg_1_sec_1             5.0           1.0            20.0   \n23    0301_rg_1_sec_1             3.0           2.0            20.0   \n24    0301_rg_1_sec_2             3.0           1.0            20.0   \n25    0301_rg_1_sec_2             4.0           1.0            20.0   \n26    0301_rg_1_sec_2             5.0           1.0            20.0   \n27    0301_rg_1_sec_2             3.0           2.0            20.0   \n28    0301_rg_1_sec_3             3.0           1.0            20.0   \n29    0301_rg_1_sec_3             4.0           1.0            20.0   \n30    0301_rg_1_sec_3             5.0           1.0            20.0   \n31    0301_rg_1_sec_3             3.0           2.0            20.0   \n32    0301_rg_2_sec_0             3.0           1.0            20.0   \n33    0301_rg_2_sec_0             4.0           1.0            20.0   \n34    0301_rg_2_sec_0             5.0           1.0            20.0   \n35    0301_rg_2_sec_0             3.0           2.0            20.0   \n36    0301_rg_2_sec_1             3.0           1.0            20.0   \n37    0301_rg_2_sec_1             4.0           1.0            20.0   \n38    0301_rg_2_sec_1             5.0           1.0            20.0   \n39    0301_rg_2_sec_1             3.0           2.0            20.0   \n40    0301_rg_2_sec_2             3.0           1.0            20.0   \n41    0301_rg_2_sec_2             4.0           1.0            20.0   \n42    0301_rg_2_sec_2             5.0           1.0            20.0   \n43    0301_rg_2_sec_2             3.0           2.0            20.0   \n44    0301_rg_2_sec_3             3.0           1.0            20.0   \n45    0301_rg_2_sec_3             4.0           1.0            20.0   \n46    0301_rg_2_sec_3             5.0           1.0            20.0   \n47    0301_rg_2_sec_3             3.0           2.0            20.0   \n48    0301_rg_2_sec_4             3.0           1.0            20.0   \n49    0301_rg_2_sec_4             4.0           1.0            20.0   \n50    0301_rg_2_sec_4             5.0           1.0            20.0   \n51    0301_rg_2_sec_4             3.0           2.0            20.0   \n52    0301_rg_2_sec_5             3.0           1.0            20.0   \n53    0301_rg_2_sec_5             4.0           1.0            20.0   \n54    0301_rg_2_sec_5             5.0           1.0            20.0   \n55    0301_rg_2_sec_5             3.0           2.0            20.0   \n56    0301_rg_2_sec_6             3.0           1.0            20.0   \n57    0301_rg_2_sec_6             4.0           1.0            20.0   \n58    0301_rg_2_sec_6             5.0           1.0            20.0   \n59    0301_rg_2_sec_6             3.0           2.0            20.0   \n60    0301_rg_2_sec_7             3.0           1.0            20.0   \n61    0301_rg_2_sec_7             4.0           1.0            20.0   \n62    0301_rg_2_sec_7             5.0           1.0            20.0   \n63    0301_rg_2_sec_7             3.0           2.0            20.0   \n64    0301_rg_2_sec_8             3.0           1.0            20.0   \n65    0301_rg_2_sec_8             4.0           1.0            20.0   \n66    0301_rg_2_sec_8             5.0           1.0            20.0   \n67    0301_rg_2_sec_8             3.0           2.0            20.0   \n68    0301_rg_2_sec_9             3.0           1.0            20.0   \n69    0301_rg_2_sec_9             4.0           1.0            20.0   \n70    0301_rg_2_sec_9             5.0           1.0            20.0   \n71    0301_rg_2_sec_9             3.0           2.0            20.0   \n72    0301_rg_3_sec_0             3.0           1.0            20.0   \n73    0301_rg_3_sec_0             4.0           1.0            20.0   \n74    0301_rg_3_sec_0             5.0           1.0            20.0   \n75    0301_rg_3_sec_0             3.0           2.0            20.0   \n76    0301_rg_3_sec_1             3.0           1.0            20.0   \n77    0301_rg_3_sec_1             4.0           1.0            20.0   \n78    0301_rg_3_sec_1             5.0           1.0            20.0   \n79    0301_rg_3_sec_1             3.0           2.0            20.0   \n80   0301_rg_3_sec_10             3.0           1.0            20.0   \n81   0301_rg_3_sec_10             4.0           1.0            20.0   \n82   0301_rg_3_sec_10             5.0           1.0            20.0   \n83   0301_rg_3_sec_10             3.0           2.0            20.0   \n84   0301_rg_3_sec_11             3.0           1.0            20.0   \n85   0301_rg_3_sec_11             4.0           1.0            20.0   \n86   0301_rg_3_sec_11             5.0           1.0            20.0   \n87   0301_rg_3_sec_11             3.0           2.0            20.0   \n88   0301_rg_3_sec_12             3.0           1.0            20.0   \n89   0301_rg_3_sec_12             4.0           1.0            20.0   \n90   0301_rg_3_sec_12             5.0           1.0            20.0   \n91   0301_rg_3_sec_12             3.0           2.0            20.0   \n92   0301_rg_3_sec_13             3.0           1.0            20.0   \n93   0301_rg_3_sec_13             4.0           1.0            20.0   \n94   0301_rg_3_sec_13             5.0           1.0            20.0   \n95   0301_rg_3_sec_13             3.0           2.0            20.0   \n96   0301_rg_3_sec_14             3.0           1.0            20.0   \n97   0301_rg_3_sec_14             4.0           1.0            20.0   \n98   0301_rg_3_sec_14             5.0           1.0            20.0   \n99   0301_rg_3_sec_14             3.0           2.0            20.0   \n100  0301_rg_3_sec_15             3.0           1.0            20.0   \n101  0301_rg_3_sec_15             4.0           1.0            20.0   \n102  0301_rg_3_sec_15             5.0           1.0            20.0   \n103  0301_rg_3_sec_15             3.0           2.0            20.0   \n104  0301_rg_3_sec_16             3.0           1.0            20.0   \n105  0301_rg_3_sec_16             4.0           1.0            20.0   \n106  0301_rg_3_sec_16             5.0           1.0            20.0   \n107  0301_rg_3_sec_16             3.0           2.0            20.0   \n108  0301_rg_3_sec_17             3.0           1.0            20.0   \n109  0301_rg_3_sec_17             4.0           1.0            20.0   \n110  0301_rg_3_sec_17             5.0           1.0            20.0   \n111  0301_rg_3_sec_17             3.0           2.0            20.0   \n112   0301_rg_3_sec_2             3.0           1.0            20.0   \n113   0301_rg_3_sec_2             4.0           1.0            20.0   \n114   0301_rg_3_sec_2             5.0           1.0            20.0   \n115   0301_rg_3_sec_2             3.0           2.0            20.0   \n116   0301_rg_3_sec_3             3.0           1.0            20.0   \n117   0301_rg_3_sec_3             4.0           1.0            20.0   \n118   0301_rg_3_sec_3             5.0           1.0            20.0   \n119   0301_rg_3_sec_3             3.0           2.0            20.0   \n120   0301_rg_3_sec_4             3.0           1.0            20.0   \n121   0301_rg_3_sec_4             4.0           1.0            20.0   \n122   0301_rg_3_sec_4             5.0           1.0            20.0   \n123   0301_rg_3_sec_4             3.0           2.0            20.0   \n124   0301_rg_3_sec_5             3.0           1.0            20.0   \n125   0301_rg_3_sec_5             4.0           1.0            20.0   \n126   0301_rg_3_sec_5             5.0           1.0            20.0   \n127   0301_rg_3_sec_5             3.0           2.0            20.0   \n128   0301_rg_3_sec_6             3.0           1.0            20.0   \n129   0301_rg_3_sec_6             4.0           1.0            20.0   \n130   0301_rg_3_sec_6             5.0           1.0            20.0   \n131   0301_rg_3_sec_6             3.0           2.0            20.0   \n132   0301_rg_3_sec_7             3.0           1.0            20.0   \n133   0301_rg_3_sec_7             4.0           1.0            20.0   \n134   0301_rg_3_sec_7             5.0           1.0            20.0   \n135   0301_rg_3_sec_7             3.0           2.0            20.0   \n136   0301_rg_3_sec_8             3.0           1.0            20.0   \n137   0301_rg_3_sec_8             4.0           1.0            20.0   \n138   0301_rg_3_sec_8             5.0           1.0            20.0   \n139   0301_rg_3_sec_8             3.0           2.0            20.0   \n140   0301_rg_3_sec_9             3.0           1.0            20.0   \n141   0301_rg_3_sec_9             4.0           1.0            20.0   \n142   0301_rg_3_sec_9             5.0           1.0            20.0   \n143   0301_rg_3_sec_9             3.0           2.0            20.0   \n144   0301_rg_4_sec_0             3.0           1.0            20.0   \n145   0301_rg_4_sec_0             4.0           1.0            20.0   \n146   0301_rg_4_sec_0             5.0           1.0            20.0   \n147   0301_rg_4_sec_0             3.0           2.0            20.0   \n148   0301_rg_4_sec_1             3.0           1.0            20.0   \n149   0301_rg_4_sec_1             4.0           1.0            20.0   \n150   0301_rg_4_sec_1             5.0           1.0            20.0   \n151   0301_rg_4_sec_1             3.0           2.0            20.0   \n152   0301_rg_4_sec_2             3.0           1.0            20.0   \n153   0301_rg_4_sec_2             4.0           1.0            20.0   \n154   0301_rg_4_sec_2             5.0           1.0            20.0   \n155   0301_rg_4_sec_2             3.0           2.0            20.0   \n156   0301_rg_5_sec_0             3.0           1.0            20.0   \n157   0301_rg_5_sec_0             4.0           1.0            20.0   \n158   0301_rg_5_sec_0             5.0           1.0            20.0   \n159   0301_rg_5_sec_0             3.0           2.0            20.0   \n160   0301_rg_5_sec_1             3.0           1.0            20.0   \n161   0301_rg_5_sec_1             4.0           1.0            20.0   \n162   0301_rg_5_sec_1             5.0           1.0            20.0   \n163   0301_rg_5_sec_1             3.0           2.0            20.0   \n164   0301_rg_0_sec_0             4.0           2.0            20.0   \n165   0301_rg_0_sec_1             4.0           2.0            20.0   \n166   0301_rg_0_sec_2             4.0           2.0            20.0   \n167   0301_rg_0_sec_3             4.0           2.0            20.0   \n168   0301_rg_1_sec_0             4.0           2.0            20.0   \n169   0301_rg_1_sec_1             4.0           2.0            20.0   \n170   0301_rg_1_sec_2             4.0           2.0            20.0   \n171   0301_rg_1_sec_3             4.0           2.0            20.0   \n172   0301_rg_2_sec_0             4.0           2.0            20.0   \n173   0301_rg_2_sec_1             4.0           2.0            20.0   \n174   0301_rg_2_sec_2             4.0           2.0            20.0   \n175   0301_rg_2_sec_3             4.0           2.0            20.0   \n176   0301_rg_2_sec_4             4.0           2.0            20.0   \n177   0301_rg_2_sec_5             4.0           2.0            20.0   \n178   0301_rg_2_sec_6             4.0           2.0            20.0   \n179   0301_rg_2_sec_7             4.0           2.0            20.0   \n180   0301_rg_2_sec_8             4.0           2.0            20.0   \n181   0301_rg_2_sec_9             4.0           2.0            20.0   \n182   0301_rg_3_sec_0             4.0           2.0            20.0   \n183   0301_rg_3_sec_1             4.0           2.0            20.0   \n184  0301_rg_3_sec_10             4.0           2.0            20.0   \n185  0301_rg_3_sec_11             4.0           2.0            20.0   \n186  0301_rg_3_sec_12             4.0           2.0            20.0   \n187  0301_rg_3_sec_13             4.0           2.0            20.0   \n188  0301_rg_3_sec_14             4.0           2.0            20.0   \n189  0301_rg_3_sec_15             4.0           2.0            20.0   \n190  0301_rg_3_sec_16             4.0           2.0            20.0   \n191  0301_rg_3_sec_17             4.0           2.0            20.0   \n192   0301_rg_3_sec_2             4.0           2.0            20.0   \n193   0301_rg_3_sec_3             4.0           2.0            20.0   \n194   0301_rg_3_sec_4             4.0           2.0            20.0   \n195   0301_rg_3_sec_5             4.0           2.0            20.0   \n196   0301_rg_3_sec_6             4.0           2.0            20.0   \n197   0301_rg_3_sec_7             4.0           2.0            20.0   \n198   0301_rg_3_sec_8             4.0           2.0            20.0   \n199   0301_rg_3_sec_9             4.0           2.0            20.0   \n200   0301_rg_4_sec_0             4.0           2.0            20.0   \n201   0301_rg_4_sec_1             4.0           2.0            20.0   \n202   0301_rg_4_sec_2             4.0           2.0            20.0   \n203   0301_rg_5_sec_0             4.0           2.0            20.0   \n204   0301_rg_5_sec_1             4.0           2.0            20.0   \n\n            objf_c  rate_c      time_c         objf_d  rate_d      time_d  \n0     41969.345157    0.04    1.144958   39487.014441  0.0600    3.070161  \n1     41733.666482    0.00    0.000000   38759.406752  0.0000    0.000000  \n2     41699.439998    0.00    0.000000   38705.638931  0.0000    0.000000  \n3     41818.080904    0.00    0.000000   32691.134631  0.0000    7.202098  \n4     49562.785633    0.10   32.812439   43902.788168  0.0200    3.429410  \n5     48587.208717    0.08   26.098885   43326.214852  0.0000    0.000000  \n6     46049.934782    0.04    5.271502   43180.451993  0.0000    0.000000  \n7     51377.138020    0.10   48.225928   40308.361965  0.0500    5.603392  \n8     41892.747962    0.08   17.885365   38741.663972  0.0200    3.012911  \n9     42143.184467    0.10   20.646410   38893.304431  0.0400    4.187269  \n10    40656.610379    0.04    9.287269   38319.503059  0.0200    3.012911  \n11    42112.620106    0.08   19.578719   44572.382156  0.0200    0.469950  \n12    59004.484271    0.14  129.814320   47872.413332  0.0800   61.387746  \n13    44244.060005    0.06    7.949829   40708.948061  0.0400    4.040455  \n14    43267.476113    0.00    0.000000   39971.499763  0.0200    0.979003  \n15    46356.780652    0.12   24.849015   35089.969204  0.0700    0.000000  \n16    41336.988962    0.02    6.009995   37985.910873  0.0200    1.927119  \n17    40494.683139    0.00    0.000000   37771.996845  0.0000    0.000000  \n18    40479.904982    0.00    0.000000   37747.688336  0.0200    2.310018  \n19    41647.173019    0.06    7.966121   48721.764476  0.0000    9.328965  \n20    44572.263131    0.00    0.000000   39757.704528  0.0000    0.000000  \n21    44523.035136    0.00    0.000000   44522.364225  0.0000    0.000000  \n22    44487.709118    0.00    0.000000   39724.035717  0.0000    0.000000  \n23    44612.155462    0.00    0.000000   42459.334843  0.0500   10.445611  \n24    46362.791911    0.06   53.443462   38709.156462  0.0800   51.460514  \n25    46290.420807    0.06   53.443462   38503.936161  0.1000   55.975166  \n26    45541.561278    0.04   47.447348   37547.523348  0.0400   47.447348  \n27    46658.299922    0.08   56.102898   38390.670900  0.0800   32.080356  \n28    55508.739404    0.10  129.910719   44682.457040  0.1000  128.221084  \n29    54703.968505    0.08  123.824191   44025.597101  0.0400  123.515622  \n30    54589.935091    0.04  123.515622   43971.906383  0.0400  123.515622  \n31    55543.958646    0.10  129.910719   36763.525022  0.0400  130.291852  \n32    73317.723803    0.36  272.086907   66818.454384  0.3200  247.721099  \n33    72260.563893    0.28  263.377686   54528.730425  0.2000  146.513885  \n34    46128.429610    0.14   48.231512   40398.448417  0.1000   30.265054  \n35   107850.183363    0.36  557.531568   86483.978685  0.2800  475.360380  \n36    42823.112434    0.00    0.000000   40114.640745  0.0000    0.000000  \n37    42778.694976    0.00    0.000000   40545.813751  0.0000    0.000000  \n38    42756.411988    0.00    0.000000   40086.802154  0.0000    0.000000  \n39    42826.165364    0.00    0.000000   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      "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>Instance_name</th>\n      <th>courier number</th>\n      <th>drone_number</th>\n      <th>drone_duration</th>\n      <th>objf_c</th>\n      <th>rate_c</th>\n      <th>time_c</th>\n      <th>objf_d</th>\n      <th>rate_d</th>\n      <th>time_d</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0301_rg_0_sec_0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>41969.345157</td>\n      <td>0.04</td>\n      <td>1.144958</td>\n      <td>39487.014441</td>\n      <td>0.0600</td>\n      <td>3.070161</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0301_rg_0_sec_0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>41733.666482</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>38759.406752</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0301_rg_0_sec_0</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>41699.439998</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>38705.638931</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0301_rg_0_sec_0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>41818.080904</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>32691.134631</td>\n      <td>0.0000</td>\n      <td>7.202098</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0301_rg_0_sec_1</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>49562.785633</td>\n      <td>0.10</td>\n      <td>32.812439</td>\n      <td>43902.788168</td>\n      <td>0.0200</td>\n      <td>3.429410</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>0301_rg_0_sec_1</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>48587.208717</td>\n      <td>0.08</td>\n      <td>26.098885</td>\n      <td>43326.214852</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>0301_rg_0_sec_1</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>46049.934782</td>\n      <td>0.04</td>\n      <td>5.271502</td>\n      <td>43180.451993</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>0301_rg_0_sec_1</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>51377.138020</td>\n      <td>0.10</td>\n      <td>48.225928</td>\n      <td>40308.361965</td>\n      <td>0.0500</td>\n      <td>5.603392</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>0301_rg_0_sec_2</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>41892.747962</td>\n      <td>0.08</td>\n      <td>17.885365</td>\n      <td>38741.663972</td>\n      <td>0.0200</td>\n      <td>3.012911</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>0301_rg_0_sec_2</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>42143.184467</td>\n      <td>0.10</td>\n      <td>20.646410</td>\n      <td>38893.304431</td>\n      <td>0.0400</td>\n      <td>4.187269</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>0301_rg_0_sec_2</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>40656.610379</td>\n      <td>0.04</td>\n      <td>9.287269</td>\n      <td>38319.503059</td>\n      <td>0.0200</td>\n      <td>3.012911</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>0301_rg_0_sec_2</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>42112.620106</td>\n      <td>0.08</td>\n      <td>19.578719</td>\n      <td>44572.382156</td>\n      <td>0.0200</td>\n      <td>0.469950</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>0301_rg_0_sec_3</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>59004.484271</td>\n      <td>0.14</td>\n      <td>129.814320</td>\n      <td>47872.413332</td>\n      <td>0.0800</td>\n      <td>61.387746</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>0301_rg_0_sec_3</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44244.060005</td>\n      <td>0.06</td>\n      <td>7.949829</td>\n      <td>40708.948061</td>\n      <td>0.0400</td>\n      <td>4.040455</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>0301_rg_0_sec_3</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>43267.476113</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>39971.499763</td>\n      <td>0.0200</td>\n      <td>0.979003</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>0301_rg_0_sec_3</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>46356.780652</td>\n      <td>0.12</td>\n      <td>24.849015</td>\n      <td>35089.969204</td>\n      <td>0.0700</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>0301_rg_1_sec_0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>41336.988962</td>\n      <td>0.02</td>\n      <td>6.009995</td>\n      <td>37985.910873</td>\n      <td>0.0200</td>\n      <td>1.927119</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>0301_rg_1_sec_0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>40494.683139</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>37771.996845</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>0301_rg_1_sec_0</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>40479.904982</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>37747.688336</td>\n      <td>0.0200</td>\n      <td>2.310018</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>0301_rg_1_sec_0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>41647.173019</td>\n      <td>0.06</td>\n      <td>7.966121</td>\n      <td>48721.764476</td>\n      <td>0.0000</td>\n      <td>9.328965</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>0301_rg_1_sec_1</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44572.263131</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>39757.704528</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>0301_rg_1_sec_1</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44523.035136</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>44522.364225</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>0301_rg_1_sec_1</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44487.709118</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>39724.035717</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>0301_rg_1_sec_1</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>44612.155462</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>42459.334843</td>\n      <td>0.0500</td>\n      <td>10.445611</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>0301_rg_1_sec_2</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>46362.791911</td>\n      <td>0.06</td>\n      <td>53.443462</td>\n      <td>38709.156462</td>\n      <td>0.0800</td>\n      <td>51.460514</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>0301_rg_1_sec_2</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>46290.420807</td>\n      <td>0.06</td>\n      <td>53.443462</td>\n      <td>38503.936161</td>\n      <td>0.1000</td>\n      <td>55.975166</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>0301_rg_1_sec_2</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>45541.561278</td>\n      <td>0.04</td>\n      <td>47.447348</td>\n      <td>37547.523348</td>\n      <td>0.0400</td>\n      <td>47.447348</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>0301_rg_1_sec_2</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>46658.299922</td>\n      <td>0.08</td>\n      <td>56.102898</td>\n      <td>38390.670900</td>\n      <td>0.0800</td>\n      <td>32.080356</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>0301_rg_1_sec_3</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>55508.739404</td>\n      <td>0.10</td>\n      <td>129.910719</td>\n      <td>44682.457040</td>\n      <td>0.1000</td>\n      <td>128.221084</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>0301_rg_1_sec_3</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>54703.968505</td>\n      <td>0.08</td>\n      <td>123.824191</td>\n      <td>44025.597101</td>\n      <td>0.0400</td>\n      <td>123.515622</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>0301_rg_1_sec_3</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>54589.935091</td>\n      <td>0.04</td>\n      <td>123.515622</td>\n      <td>43971.906383</td>\n      <td>0.0400</td>\n      <td>123.515622</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>0301_rg_1_sec_3</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>55543.958646</td>\n      <td>0.10</td>\n      <td>129.910719</td>\n      <td>36763.525022</td>\n      <td>0.0400</td>\n      <td>130.291852</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>0301_rg_2_sec_0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>73317.723803</td>\n      <td>0.36</td>\n      <td>272.086907</td>\n      <td>66818.454384</td>\n      <td>0.3200</td>\n      <td>247.721099</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>0301_rg_2_sec_0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>72260.563893</td>\n      <td>0.28</td>\n      <td>263.377686</td>\n      <td>54528.730425</td>\n      <td>0.2000</td>\n      <td>146.513885</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>0301_rg_2_sec_0</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>46128.429610</td>\n      <td>0.14</td>\n      <td>48.231512</td>\n      <td>40398.448417</td>\n      <td>0.1000</td>\n      <td>30.265054</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>0301_rg_2_sec_0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>107850.183363</td>\n      <td>0.36</td>\n      <td>557.531568</td>\n      <td>86483.978685</td>\n      <td>0.2800</td>\n      <td>475.360380</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>0301_rg_2_sec_1</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>42823.112434</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>40114.640745</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>0301_rg_2_sec_1</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>42778.694976</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>40545.813751</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>38</th>\n      <td>0301_rg_2_sec_1</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>42756.411988</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>40086.802154</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>39</th>\n      <td>0301_rg_2_sec_1</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>42826.165364</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>44783.082086</td>\n      <td>0.0200</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>40</th>\n      <td>0301_rg_2_sec_2</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>43633.086143</td>\n      <td>0.02</td>\n      <td>6.081197</td>\n      <td>41562.897060</td>\n      <td>0.0200</td>\n      <td>6.081197</td>\n    </tr>\n    <tr>\n      <th>41</th>\n      <td>0301_rg_2_sec_2</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44345.729869</td>\n      <td>0.02</td>\n      <td>12.197149</td>\n      <td>41365.889911</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>42</th>\n      <td>0301_rg_2_sec_2</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>42721.296839</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>40566.830060</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>43</th>\n      <td>0301_rg_2_sec_2</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>43630.435857</td>\n      <td>0.02</td>\n      <td>6.081197</td>\n      <td>27680.693595</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>44</th>\n      <td>0301_rg_2_sec_3</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>64066.702592</td>\n      <td>0.06</td>\n      <td>181.874191</td>\n      <td>56175.967316</td>\n      <td>0.0600</td>\n      <td>183.756343</td>\n    </tr>\n    <tr>\n      <th>45</th>\n      <td>0301_rg_2_sec_3</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>63586.335502</td>\n      <td>0.08</td>\n      <td>178.571678</td>\n      <td>55811.694374</td>\n      <td>0.0800</td>\n      <td>178.571678</td>\n    </tr>\n    <tr>\n      <th>46</th>\n      <td>0301_rg_2_sec_3</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>63393.993182</td>\n      <td>0.06</td>\n      <td>177.290857</td>\n      <td>54816.335292</td>\n      <td>0.0600</td>\n      <td>177.290857</td>\n    </tr>\n    <tr>\n      <th>47</th>\n      <td>0301_rg_2_sec_3</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>64149.891314</td>\n      <td>0.06</td>\n      <td>181.874191</td>\n      <td>51692.405121</td>\n      <td>0.0300</td>\n      <td>173.627585</td>\n    </tr>\n    <tr>\n      <th>48</th>\n      <td>0301_rg_2_sec_4</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>42973.767357</td>\n      <td>0.06</td>\n      <td>5.862520</td>\n      <td>34866.065162</td>\n      <td>0.0800</td>\n      <td>6.732021</td>\n    </tr>\n    <tr>\n      <th>49</th>\n      <td>0301_rg_2_sec_4</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>42834.779096</td>\n      <td>0.06</td>\n      <td>4.987255</td>\n      <td>32886.680309</td>\n      <td>0.0400</td>\n      <td>2.999836</td>\n    </tr>\n    <tr>\n      <th>50</th>\n      <td>0301_rg_2_sec_4</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>42092.855440</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>32889.653288</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>51</th>\n      <td>0301_rg_2_sec_4</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>42971.369359</td>\n      <td>0.06</td>\n      <td>5.862520</td>\n      <td>26990.565576</td>\n      <td>0.0600</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>52</th>\n      <td>0301_rg_2_sec_5</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>48445.572159</td>\n      <td>0.06</td>\n      <td>52.544898</td>\n      <td>45513.382034</td>\n      <td>0.0600</td>\n      <td>52.544898</td>\n    </tr>\n    <tr>\n      <th>53</th>\n      <td>0301_rg_2_sec_5</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44170.300965</td>\n      <td>0.04</td>\n      <td>18.708836</td>\n      <td>37910.809733</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>54</th>\n      <td>0301_rg_2_sec_5</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>41824.640600</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>37649.592515</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>55</th>\n      <td>0301_rg_2_sec_5</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>42381.345379</td>\n      <td>0.06</td>\n      <td>3.024413</td>\n      <td>31260.993784</td>\n      <td>0.0900</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>56</th>\n      <td>0301_rg_2_sec_6</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44942.351560</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>40806.240227</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>57</th>\n      <td>0301_rg_2_sec_6</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44893.028136</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>41353.372444</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>58</th>\n      <td>0301_rg_2_sec_6</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44854.696133</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>41111.781147</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>59</th>\n      <td>0301_rg_2_sec_6</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>44931.076761</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>52266.993558</td>\n      <td>0.0000</td>\n      <td>9.721373</td>\n    </tr>\n    <tr>\n      <th>60</th>\n      <td>0301_rg_2_sec_7</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>51669.715079</td>\n      <td>0.14</td>\n      <td>38.635704</td>\n      <td>44280.171966</td>\n      <td>0.0600</td>\n      <td>15.573177</td>\n    </tr>\n    <tr>\n      <th>61</th>\n      <td>0301_rg_2_sec_7</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>47830.047839</td>\n      <td>0.04</td>\n      <td>8.549132</td>\n      <td>43341.100740</td>\n      <td>0.0400</td>\n      <td>7.549132</td>\n    </tr>\n    <tr>\n      <th>62</th>\n      <td>0301_rg_2_sec_7</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>47413.601838</td>\n      <td>0.02</td>\n      <td>5.046131</td>\n      <td>44634.046055</td>\n      <td>0.0200</td>\n      <td>5.046131</td>\n    </tr>\n    <tr>\n      <th>63</th>\n      <td>0301_rg_2_sec_7</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>49338.889691</td>\n      <td>0.08</td>\n      <td>19.546617</td>\n      <td>51827.334397</td>\n      <td>0.0600</td>\n      <td>4.642935</td>\n    </tr>\n    <tr>\n      <th>64</th>\n      <td>0301_rg_2_sec_8</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>43213.023120</td>\n      <td>0.10</td>\n      <td>45.832267</td>\n      <td>32004.915500</td>\n      <td>0.0800</td>\n      <td>27.235380</td>\n    </tr>\n    <tr>\n      <th>65</th>\n      <td>0301_rg_2_sec_8</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>40656.302482</td>\n      <td>0.08</td>\n      <td>25.711020</td>\n      <td>33047.212436</td>\n      <td>0.0400</td>\n      <td>24.811749</td>\n    </tr>\n    <tr>\n      <th>66</th>\n      <td>0301_rg_2_sec_8</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>39559.507983</td>\n      <td>0.02</td>\n      <td>16.824314</td>\n      <td>30513.547241</td>\n      <td>0.0200</td>\n      <td>16.824314</td>\n    </tr>\n    <tr>\n      <th>67</th>\n      <td>0301_rg_2_sec_8</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>41400.786242</td>\n      <td>0.14</td>\n      <td>30.668518</td>\n      <td>22078.885131</td>\n      <td>0.0600</td>\n      <td>12.134374</td>\n    </tr>\n    <tr>\n      <th>68</th>\n      <td>0301_rg_2_sec_9</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>42571.796033</td>\n      <td>0.04</td>\n      <td>6.152545</td>\n      <td>39608.106537</td>\n      <td>0.0200</td>\n      <td>1.701417</td>\n    </tr>\n    <tr>\n      <th>69</th>\n      <td>0301_rg_2_sec_9</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>41721.797843</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>39600.905430</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>70</th>\n      <td>0301_rg_2_sec_9</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>41674.867657</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>39247.756659</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>71</th>\n      <td>0301_rg_2_sec_9</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>42087.652947</td>\n      <td>0.04</td>\n      <td>2.091443</td>\n      <td>26864.342227</td>\n      <td>0.0100</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>72</th>\n      <td>0301_rg_3_sec_0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>66352.485653</td>\n      <td>0.20</td>\n      <td>209.638981</td>\n      <td>66156.098882</td>\n      <td>0.2000</td>\n      <td>209.638981</td>\n    </tr>\n    <tr>\n      <th>73</th>\n      <td>0301_rg_3_sec_0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>64717.721183</td>\n      <td>0.18</td>\n      <td>197.482200</td>\n      <td>48027.693839</td>\n      <td>0.1200</td>\n      <td>122.635222</td>\n    </tr>\n    <tr>\n      <th>74</th>\n      <td>0301_rg_3_sec_0</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>63362.422342</td>\n      <td>0.16</td>\n      <td>186.486492</td>\n      <td>36665.341889</td>\n      <td>0.0600</td>\n      <td>30.370534</td>\n    </tr>\n    <tr>\n      <th>75</th>\n      <td>0301_rg_3_sec_0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>67691.230316</td>\n      <td>0.26</td>\n      <td>221.991338</td>\n      <td>60517.160024</td>\n      <td>0.2300</td>\n      <td>128.840324</td>\n    </tr>\n    <tr>\n      <th>76</th>\n      <td>0301_rg_3_sec_1</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>124602.418685</td>\n      <td>0.36</td>\n      <td>682.622436</td>\n      <td>124068.487616</td>\n      <td>0.3600</td>\n      <td>678.250416</td>\n    </tr>\n    <tr>\n      <th>77</th>\n      <td>0301_rg_3_sec_1</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>90543.393708</td>\n      <td>0.38</td>\n      <td>401.521980</td>\n      <td>80856.334333</td>\n      <td>0.3200</td>\n      <td>350.045279</td>\n    </tr>\n    <tr>\n      <th>78</th>\n      <td>0301_rg_3_sec_1</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>77875.892206</td>\n      <td>0.22</td>\n      <td>297.757639</td>\n      <td>60969.249052</td>\n      <td>0.2000</td>\n      <td>188.505023</td>\n    </tr>\n    <tr>\n      <th>79</th>\n      <td>0301_rg_3_sec_1</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>118469.724844</td>\n      <td>0.36</td>\n      <td>632.154232</td>\n      <td>92645.159724</td>\n      <td>0.2304</td>\n      <td>388.759138</td>\n    </tr>\n    <tr>\n      <th>80</th>\n      <td>0301_rg_3_sec_10</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>49300.604137</td>\n      <td>0.22</td>\n      <td>60.902962</td>\n      <td>44760.413159</td>\n      <td>0.1800</td>\n      <td>38.148226</td>\n    </tr>\n    <tr>\n      <th>81</th>\n      <td>0301_rg_3_sec_10</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44859.459915</td>\n      <td>0.12</td>\n      <td>25.173314</td>\n      <td>43027.636058</td>\n      <td>0.1200</td>\n      <td>25.173314</td>\n    </tr>\n    <tr>\n      <th>82</th>\n      <td>0301_rg_3_sec_10</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>42582.457311</td>\n      <td>0.06</td>\n      <td>6.627198</td>\n      <td>39942.728230</td>\n      <td>0.0200</td>\n      <td>0.692818</td>\n    </tr>\n    <tr>\n      <th>83</th>\n      <td>0301_rg_3_sec_10</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>46951.814928</td>\n      <td>0.20</td>\n      <td>41.934879</td>\n      <td>41749.956092</td>\n      <td>0.1700</td>\n      <td>26.949239</td>\n    </tr>\n    <tr>\n      <th>84</th>\n      <td>0301_rg_3_sec_11</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>54412.170413</td>\n      <td>0.10</td>\n      <td>111.692588</td>\n      <td>46801.757345</td>\n      <td>0.0400</td>\n      <td>49.735327</td>\n    </tr>\n    <tr>\n      <th>85</th>\n      <td>0301_rg_3_sec_11</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44021.646639</td>\n      <td>0.06</td>\n      <td>25.501170</td>\n      <td>38879.681021</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>86</th>\n      <td>0301_rg_3_sec_11</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>41728.893877</td>\n      <td>0.04</td>\n      <td>7.668941</td>\n      <td>38819.303160</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>87</th>\n      <td>0301_rg_3_sec_11</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>54730.911102</td>\n      <td>0.14</td>\n      <td>113.474644</td>\n      <td>42332.636481</td>\n      <td>0.1000</td>\n      <td>99.044451</td>\n    </tr>\n    <tr>\n      <th>88</th>\n      <td>0301_rg_3_sec_12</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>56985.789481</td>\n      <td>0.08</td>\n      <td>109.067524</td>\n      <td>43448.684958</td>\n      <td>0.0600</td>\n      <td>41.110543</td>\n    </tr>\n    <tr>\n      <th>89</th>\n      <td>0301_rg_3_sec_12</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>43737.779573</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>38730.894228</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>90</th>\n      <td>0301_rg_3_sec_12</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>51928.809936</td>\n      <td>0.02</td>\n      <td>67.654307</td>\n      <td>38633.557105</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>91</th>\n      <td>0301_rg_3_sec_12</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>48777.525283</td>\n      <td>0.06</td>\n      <td>41.110543</td>\n      <td>55821.445896</td>\n      <td>0.0100</td>\n      <td>19.734805</td>\n    </tr>\n    <tr>\n      <th>92</th>\n      <td>0301_rg_3_sec_13</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>54055.401534</td>\n      <td>0.12</td>\n      <td>54.719698</td>\n      <td>52335.217553</td>\n      <td>0.1200</td>\n      <td>54.719698</td>\n    </tr>\n    <tr>\n      <th>93</th>\n      <td>0301_rg_3_sec_13</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>50760.977233</td>\n      <td>0.10</td>\n      <td>28.272057</td>\n      <td>46892.366466</td>\n      <td>0.0600</td>\n      <td>18.546471</td>\n    </tr>\n    <tr>\n      <th>94</th>\n      <td>0301_rg_3_sec_13</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>49506.801320</td>\n      <td>0.08</td>\n      <td>17.733023</td>\n      <td>46880.960720</td>\n      <td>0.0400</td>\n      <td>8.810981</td>\n    </tr>\n    <tr>\n      <th>95</th>\n      <td>0301_rg_3_sec_13</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>60195.101924</td>\n      <td>0.18</td>\n      <td>104.003759</td>\n      <td>52422.711571</td>\n      <td>0.0500</td>\n      <td>45.342767</td>\n    </tr>\n    <tr>\n      <th>96</th>\n      <td>0301_rg_3_sec_14</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>103609.514499</td>\n      <td>0.32</td>\n      <td>538.323917</td>\n      <td>80556.262989</td>\n      <td>0.2000</td>\n      <td>350.994620</td>\n    </tr>\n    <tr>\n      <th>97</th>\n      <td>0301_rg_3_sec_14</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>52962.620052</td>\n      <td>0.22</td>\n      <td>119.970357</td>\n      <td>33506.469307</td>\n      <td>0.1000</td>\n      <td>23.041469</td>\n    </tr>\n    <tr>\n      <th>98</th>\n      <td>0301_rg_3_sec_14</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>38757.031481</td>\n      <td>0.04</td>\n      <td>4.348368</td>\n      <td>31057.229452</td>\n      <td>0.0200</td>\n      <td>4.270314</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>0301_rg_3_sec_14</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>111789.489915</td>\n      <td>0.30</td>\n      <td>606.492625</td>\n      <td>98243.188929</td>\n      <td>0.2300</td>\n      <td>401.052792</td>\n    </tr>\n    <tr>\n      <th>100</th>\n      <td>0301_rg_3_sec_15</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>39543.890353</td>\n      <td>0.04</td>\n      <td>4.268208</td>\n      <td>36408.601322</td>\n      <td>0.0400</td>\n      <td>3.272807</td>\n    </tr>\n    <tr>\n      <th>101</th>\n      <td>0301_rg_3_sec_15</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>39110.621225</td>\n      <td>0.02</td>\n      <td>1.366582</td>\n      <td>36160.204061</td>\n      <td>0.0400</td>\n      <td>2.108852</td>\n    </tr>\n    <tr>\n      <th>102</th>\n      <td>0301_rg_3_sec_15</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>39105.987343</td>\n      <td>0.02</td>\n      <td>1.366582</td>\n      <td>36073.921062</td>\n      <td>0.0200</td>\n      <td>1.366582</td>\n    </tr>\n    <tr>\n      <th>103</th>\n      <td>0301_rg_3_sec_15</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>39388.708291</td>\n      <td>0.04</td>\n      <td>3.272807</td>\n      <td>30085.692040</td>\n      <td>0.0400</td>\n      <td>13.729420</td>\n    </tr>\n    <tr>\n      <th>104</th>\n      <td>0301_rg_3_sec_16</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>75937.604856</td>\n      <td>0.32</td>\n      <td>265.852031</td>\n      <td>56535.550402</td>\n      <td>0.2400</td>\n      <td>116.778039</td>\n    </tr>\n    <tr>\n      <th>105</th>\n      <td>0301_rg_3_sec_16</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>58479.246522</td>\n      <td>0.10</td>\n      <td>122.233322</td>\n      <td>43763.482049</td>\n      <td>0.0400</td>\n      <td>7.088642</td>\n    </tr>\n    <tr>\n      <th>106</th>\n      <td>0301_rg_3_sec_16</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>46833.663037</td>\n      <td>0.04</td>\n      <td>25.419471</td>\n      <td>43430.557173</td>\n      <td>0.0200</td>\n      <td>5.340936</td>\n    </tr>\n    <tr>\n      <th>107</th>\n      <td>0301_rg_3_sec_16</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>60796.507226</td>\n      <td>0.12</td>\n      <td>141.171611</td>\n      <td>54979.322052</td>\n      <td>0.1100</td>\n      <td>125.143754</td>\n    </tr>\n    <tr>\n      <th>108</th>\n      <td>0301_rg_3_sec_17</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>68377.287856</td>\n      <td>0.24</td>\n      <td>198.782742</td>\n      <td>57116.029980</td>\n      <td>0.1600</td>\n      <td>107.633073</td>\n    </tr>\n    <tr>\n      <th>109</th>\n      <td>0301_rg_3_sec_17</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>46446.204472</td>\n      <td>0.06</td>\n      <td>19.756351</td>\n      <td>43818.325320</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>110</th>\n      <td>0301_rg_3_sec_17</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>50285.702505</td>\n      <td>0.10</td>\n      <td>50.651036</td>\n      <td>44235.771309</td>\n      <td>0.0400</td>\n      <td>10.583977</td>\n    </tr>\n    <tr>\n      <th>111</th>\n      <td>0301_rg_3_sec_17</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>58708.059328</td>\n      <td>0.20</td>\n      <td>118.324214</td>\n      <td>57554.330004</td>\n      <td>0.1200</td>\n      <td>102.359842</td>\n    </tr>\n    <tr>\n      <th>112</th>\n      <td>0301_rg_3_sec_2</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>104227.867641</td>\n      <td>0.38</td>\n      <td>500.364701</td>\n      <td>94016.865431</td>\n      <td>0.3400</td>\n      <td>423.176382</td>\n    </tr>\n    <tr>\n      <th>113</th>\n      <td>0301_rg_3_sec_2</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>80490.710376</td>\n      <td>0.30</td>\n      <td>304.479373</td>\n      <td>68911.363876</td>\n      <td>0.2600</td>\n      <td>214.271953</td>\n    </tr>\n    <tr>\n      <th>114</th>\n      <td>0301_rg_3_sec_2</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>62921.066282</td>\n      <td>0.28</td>\n      <td>158.620118</td>\n      <td>52889.732505</td>\n      <td>0.2200</td>\n      <td>87.020722</td>\n    </tr>\n    <tr>\n      <th>115</th>\n      <td>0301_rg_3_sec_2</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>157446.280877</td>\n      <td>0.36</td>\n      <td>939.230372</td>\n      <td>85583.687014</td>\n      <td>0.2304</td>\n      <td>385.613690</td>\n    </tr>\n    <tr>\n      <th>116</th>\n      <td>0301_rg_3_sec_3</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>54336.955570</td>\n      <td>0.06</td>\n      <td>107.179961</td>\n      <td>52385.585000</td>\n      <td>0.0600</td>\n      <td>107.409581</td>\n    </tr>\n    <tr>\n      <th>117</th>\n      <td>0301_rg_3_sec_3</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>45877.446647</td>\n      <td>0.04</td>\n      <td>36.855096</td>\n      <td>45579.096997</td>\n      <td>0.0400</td>\n      <td>36.855096</td>\n    </tr>\n    <tr>\n      <th>118</th>\n      <td>0301_rg_3_sec_3</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>43310.258959</td>\n      <td>0.02</td>\n      <td>17.016633</td>\n      <td>38812.782374</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>119</th>\n      <td>0301_rg_3_sec_3</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>54332.031639</td>\n      <td>0.06</td>\n      <td>107.179961</td>\n      <td>41168.360474</td>\n      <td>0.0200</td>\n      <td>95.037311</td>\n    </tr>\n    <tr>\n      <th>120</th>\n      <td>0301_rg_3_sec_4</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>40028.675111</td>\n      <td>0.04</td>\n      <td>0.714970</td>\n      <td>38705.069162</td>\n      <td>0.0400</td>\n      <td>0.714970</td>\n    </tr>\n    <tr>\n      <th>121</th>\n      <td>0301_rg_3_sec_4</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>40212.786594</td>\n      <td>0.04</td>\n      <td>4.865363</td>\n      <td>38105.219476</td>\n      <td>0.0200</td>\n      <td>0.251465</td>\n    </tr>\n    <tr>\n      <th>122</th>\n      <td>0301_rg_3_sec_4</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>41456.973409</td>\n      <td>0.08</td>\n      <td>14.031888</td>\n      <td>38023.214583</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>123</th>\n      <td>0301_rg_3_sec_4</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>41040.057684</td>\n      <td>0.06</td>\n      <td>11.255169</td>\n      <td>37975.927320</td>\n      <td>0.0600</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>124</th>\n      <td>0301_rg_3_sec_5</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>55436.162689</td>\n      <td>0.22</td>\n      <td>91.756767</td>\n      <td>46519.650897</td>\n      <td>0.1400</td>\n      <td>81.250871</td>\n    </tr>\n    <tr>\n      <th>125</th>\n      <td>0301_rg_3_sec_5</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>57751.702664</td>\n      <td>0.14</td>\n      <td>111.420949</td>\n      <td>41879.254685</td>\n      <td>0.0200</td>\n      <td>53.573790</td>\n    </tr>\n    <tr>\n      <th>126</th>\n      <td>0301_rg_3_sec_5</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>50616.202206</td>\n      <td>0.02</td>\n      <td>53.573790</td>\n      <td>49160.168012</td>\n      <td>0.0200</td>\n      <td>53.573790</td>\n    </tr>\n    <tr>\n      <th>127</th>\n      <td>0301_rg_3_sec_5</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>57952.406287</td>\n      <td>0.16</td>\n      <td>112.579669</td>\n      <td>39956.200747</td>\n      <td>0.1600</td>\n      <td>99.639540</td>\n    </tr>\n    <tr>\n      <th>128</th>\n      <td>0301_rg_3_sec_6</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>85819.429115</td>\n      <td>0.18</td>\n      <td>346.314644</td>\n      <td>61168.487867</td>\n      <td>0.1200</td>\n      <td>149.549712</td>\n    </tr>\n    <tr>\n      <th>129</th>\n      <td>0301_rg_3_sec_6</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>60621.696065</td>\n      <td>0.12</td>\n      <td>138.574809</td>\n      <td>57580.302045</td>\n      <td>0.0600</td>\n      <td>123.190974</td>\n    </tr>\n    <tr>\n      <th>130</th>\n      <td>0301_rg_3_sec_6</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>56678.627188</td>\n      <td>0.08</td>\n      <td>105.958684</td>\n      <td>55368.381022</td>\n      <td>0.0400</td>\n      <td>104.862645</td>\n    </tr>\n    <tr>\n      <th>131</th>\n      <td>0301_rg_3_sec_6</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>77677.646528</td>\n      <td>0.36</td>\n      <td>277.699509</td>\n      <td>65744.183999</td>\n      <td>0.1700</td>\n      <td>151.520859</td>\n    </tr>\n    <tr>\n      <th>132</th>\n      <td>0301_rg_3_sec_7</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>59904.871009</td>\n      <td>0.18</td>\n      <td>107.230268</td>\n      <td>47241.611725</td>\n      <td>0.0800</td>\n      <td>37.548171</td>\n    </tr>\n    <tr>\n      <th>133</th>\n      <td>0301_rg_3_sec_7</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>60766.035615</td>\n      <td>0.14</td>\n      <td>117.121384</td>\n      <td>43504.199861</td>\n      <td>0.0400</td>\n      <td>4.376467</td>\n    </tr>\n    <tr>\n      <th>134</th>\n      <td>0301_rg_3_sec_7</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>46682.812493</td>\n      <td>0.08</td>\n      <td>2.450024</td>\n      <td>41483.632751</td>\n      <td>0.0200</td>\n      <td>1.047899</td>\n    </tr>\n    <tr>\n      <th>135</th>\n      <td>0301_rg_3_sec_7</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>54288.323669</td>\n      <td>0.06</td>\n      <td>66.001748</td>\n      <td>50150.958497</td>\n      <td>0.0300</td>\n      <td>12.241004</td>\n    </tr>\n    <tr>\n      <th>136</th>\n      <td>0301_rg_3_sec_8</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>100589.448524</td>\n      <td>0.32</td>\n      <td>503.916212</td>\n      <td>89196.127508</td>\n      <td>0.2800</td>\n      <td>455.274463</td>\n    </tr>\n    <tr>\n      <th>137</th>\n      <td>0301_rg_3_sec_8</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>92966.413676</td>\n      <td>0.30</td>\n      <td>442.136531</td>\n      <td>58267.019960</td>\n      <td>0.1400</td>\n      <td>199.384212</td>\n    </tr>\n    <tr>\n      <th>138</th>\n      <td>0301_rg_3_sec_8</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>66933.272144</td>\n      <td>0.16</td>\n      <td>227.694708</td>\n      <td>55506.848854</td>\n      <td>0.1000</td>\n      <td>169.129560</td>\n    </tr>\n    <tr>\n      <th>139</th>\n      <td>0301_rg_3_sec_8</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>109361.005906</td>\n      <td>0.38</td>\n      <td>574.804812</td>\n      <td>81990.124947</td>\n      <td>0.2400</td>\n      <td>424.765807</td>\n    </tr>\n    <tr>\n      <th>140</th>\n      <td>0301_rg_3_sec_9</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>46343.490366</td>\n      <td>0.08</td>\n      <td>47.654603</td>\n      <td>43126.967051</td>\n      <td>0.0800</td>\n      <td>47.654603</td>\n    </tr>\n    <tr>\n      <th>141</th>\n      <td>0301_rg_3_sec_9</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>45578.753220</td>\n      <td>0.04</td>\n      <td>42.009408</td>\n      <td>43186.860675</td>\n      <td>0.0400</td>\n      <td>42.009408</td>\n    </tr>\n    <tr>\n      <th>142</th>\n      <td>0301_rg_3_sec_9</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>45590.499276</td>\n      <td>0.04</td>\n      <td>42.009408</td>\n      <td>41573.515652</td>\n      <td>0.0400</td>\n      <td>42.009408</td>\n    </tr>\n    <tr>\n      <th>143</th>\n      <td>0301_rg_3_sec_9</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>46377.783913</td>\n      <td>0.08</td>\n      <td>47.654603</td>\n      <td>31773.595267</td>\n      <td>0.0600</td>\n      <td>35.646552</td>\n    </tr>\n    <tr>\n      <th>144</th>\n      <td>0301_rg_4_sec_0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>92848.000231</td>\n      <td>0.36</td>\n      <td>440.290766</td>\n      <td>73757.258289</td>\n      <td>0.2200</td>\n      <td>337.620423</td>\n    </tr>\n    <tr>\n      <th>145</th>\n      <td>0301_rg_4_sec_0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>66011.221069</td>\n      <td>0.22</td>\n      <td>219.131867</td>\n      <td>54530.954305</td>\n      <td>0.1600</td>\n      <td>179.135646</td>\n    </tr>\n    <tr>\n      <th>146</th>\n      <td>0301_rg_4_sec_0</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>58246.010409</td>\n      <td>0.10</td>\n      <td>155.703626</td>\n      <td>51193.927552</td>\n      <td>0.1000</td>\n      <td>151.783281</td>\n    </tr>\n    <tr>\n      <th>147</th>\n      <td>0301_rg_4_sec_0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>76665.420044</td>\n      <td>0.22</td>\n      <td>306.870314</td>\n      <td>55771.181361</td>\n      <td>0.1700</td>\n      <td>216.515319</td>\n    </tr>\n    <tr>\n      <th>148</th>\n      <td>0301_rg_4_sec_1</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>45329.781386</td>\n      <td>0.06</td>\n      <td>36.571089</td>\n      <td>34434.294554</td>\n      <td>0.0200</td>\n      <td>30.651582</td>\n    </tr>\n    <tr>\n      <th>149</th>\n      <td>0301_rg_4_sec_1</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44421.771573</td>\n      <td>0.02</td>\n      <td>30.651582</td>\n      <td>33276.625979</td>\n      <td>0.0200</td>\n      <td>30.651582</td>\n    </tr>\n    <tr>\n      <th>150</th>\n      <td>0301_rg_4_sec_1</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44427.372409</td>\n      <td>0.02</td>\n      <td>30.651582</td>\n      <td>32229.345405</td>\n      <td>0.0200</td>\n      <td>30.651582</td>\n    </tr>\n    <tr>\n      <th>151</th>\n      <td>0301_rg_4_sec_1</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>44497.695165</td>\n      <td>0.02</td>\n      <td>30.651582</td>\n      <td>37673.838180</td>\n      <td>0.0000</td>\n      <td>42.098202</td>\n    </tr>\n    <tr>\n      <th>152</th>\n      <td>0301_rg_4_sec_2</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>57578.362175</td>\n      <td>0.20</td>\n      <td>100.823183</td>\n      <td>54317.410491</td>\n      <td>0.1800</td>\n      <td>94.783217</td>\n    </tr>\n    <tr>\n      <th>153</th>\n      <td>0301_rg_4_sec_2</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>51944.952956</td>\n      <td>0.12</td>\n      <td>53.616802</td>\n      <td>43462.616230</td>\n      <td>0.0600</td>\n      <td>16.519907</td>\n    </tr>\n    <tr>\n      <th>154</th>\n      <td>0301_rg_4_sec_2</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>46140.177304</td>\n      <td>0.02</td>\n      <td>7.815661</td>\n      <td>42581.861167</td>\n      <td>0.0200</td>\n      <td>7.815661</td>\n    </tr>\n    <tr>\n      <th>155</th>\n      <td>0301_rg_4_sec_2</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>49322.704668</td>\n      <td>0.18</td>\n      <td>32.839020</td>\n      <td>36311.635706</td>\n      <td>0.1200</td>\n      <td>14.723614</td>\n    </tr>\n    <tr>\n      <th>156</th>\n      <td>0301_rg_5_sec_0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>47291.208772</td>\n      <td>0.12</td>\n      <td>23.100910</td>\n      <td>42219.337051</td>\n      <td>0.1200</td>\n      <td>21.100910</td>\n    </tr>\n    <tr>\n      <th>157</th>\n      <td>0301_rg_5_sec_0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44398.446784</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>40413.584954</td>\n      <td>0.0200</td>\n      <td>3.004457</td>\n    </tr>\n    <tr>\n      <th>158</th>\n      <td>0301_rg_5_sec_0</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>44318.701251</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>38966.631086</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>159</th>\n      <td>0301_rg_5_sec_0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>47293.612218</td>\n      <td>0.12</td>\n      <td>23.100910</td>\n      <td>44256.391836</td>\n      <td>0.1200</td>\n      <td>21.129180</td>\n    </tr>\n    <tr>\n      <th>160</th>\n      <td>0301_rg_5_sec_1</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>43894.996276</td>\n      <td>0.08</td>\n      <td>5.828292</td>\n      <td>41129.672965</td>\n      <td>0.0800</td>\n      <td>6.842051</td>\n    </tr>\n    <tr>\n      <th>161</th>\n      <td>0301_rg_5_sec_1</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>43342.420533</td>\n      <td>0.04</td>\n      <td>1.910605</td>\n      <td>40281.962494</td>\n      <td>0.0400</td>\n      <td>1.910605</td>\n    </tr>\n    <tr>\n      <th>162</th>\n      <td>0301_rg_5_sec_1</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>20.0</td>\n      <td>43298.881738</td>\n      <td>0.04</td>\n      <td>1.910605</td>\n      <td>40315.356361</td>\n      <td>0.0600</td>\n      <td>2.141822</td>\n    </tr>\n    <tr>\n      <th>163</th>\n      <td>0301_rg_5_sec_1</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>43872.612877</td>\n      <td>0.08</td>\n      <td>5.828292</td>\n      <td>43905.953021</td>\n      <td>0.0400</td>\n      <td>20.109785</td>\n    </tr>\n    <tr>\n      <th>164</th>\n      <td>0301_rg_0_sec_0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>41760.006313</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>43670.258353</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>165</th>\n      <td>0301_rg_0_sec_1</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>50562.850872</td>\n      <td>0.10</td>\n      <td>41.841432</td>\n      <td>46142.015388</td>\n      <td>0.0300</td>\n      <td>9.858586</td>\n    </tr>\n    <tr>\n      <th>166</th>\n      <td>0301_rg_0_sec_2</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>40827.196841</td>\n      <td>0.04</td>\n      <td>9.287269</td>\n      <td>47896.050793</td>\n      <td>0.0200</td>\n      <td>1.969122</td>\n    </tr>\n    <tr>\n      <th>167</th>\n      <td>0301_rg_0_sec_3</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>44440.101849</td>\n      <td>0.08</td>\n      <td>9.334818</td>\n      <td>41498.273455</td>\n      <td>0.0300</td>\n      <td>1.697900</td>\n    </tr>\n    <tr>\n      <th>168</th>\n      <td>0301_rg_1_sec_0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>40514.212227</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>26160.173146</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>169</th>\n      <td>0301_rg_1_sec_1</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>44521.327332</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>50378.431948</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>170</th>\n      <td>0301_rg_1_sec_2</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>45618.870194</td>\n      <td>0.06</td>\n      <td>48.102840</td>\n      <td>43008.484034</td>\n      <td>0.0500</td>\n      <td>34.836734</td>\n    </tr>\n    <tr>\n      <th>171</th>\n      <td>0301_rg_1_sec_3</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>54635.886256</td>\n      <td>0.04</td>\n      <td>123.515622</td>\n      <td>36566.005911</td>\n      <td>0.0400</td>\n      <td>116.915910</td>\n    </tr>\n    <tr>\n      <th>172</th>\n      <td>0301_rg_2_sec_0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>56774.549394</td>\n      <td>0.18</td>\n      <td>135.806427</td>\n      <td>40376.013074</td>\n      <td>0.1400</td>\n      <td>93.205334</td>\n    </tr>\n    <tr>\n      <th>173</th>\n      <td>0301_rg_2_sec_1</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>42782.773794</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>26136.016817</td>\n      <td>0.0100</td>\n      <td>8.681709</td>\n    </tr>\n    <tr>\n      <th>174</th>\n      <td>0301_rg_2_sec_2</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>42773.288700</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>47443.082829</td>\n      <td>0.0100</td>\n      <td>5.293464</td>\n    </tr>\n    <tr>\n      <th>175</th>\n      <td>0301_rg_2_sec_3</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>63404.738065</td>\n      <td>0.06</td>\n      <td>177.290857</td>\n      <td>68367.566993</td>\n      <td>0.0700</td>\n      <td>160.376649</td>\n    </tr>\n    <tr>\n      <th>176</th>\n      <td>0301_rg_2_sec_4</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>42286.350655</td>\n      <td>0.02</td>\n      <td>0.847337</td>\n      <td>22782.385387</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>177</th>\n      <td>0301_rg_2_sec_5</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>41910.766565</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>28329.859172</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>178</th>\n      <td>0301_rg_2_sec_6</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>44889.893736</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>36332.560591</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>179</th>\n      <td>0301_rg_2_sec_7</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>47777.109587</td>\n      <td>0.06</td>\n      <td>7.664680</td>\n      <td>45537.957007</td>\n      <td>0.0100</td>\n      <td>6.584715</td>\n    </tr>\n    <tr>\n      <th>180</th>\n      <td>0301_rg_2_sec_8</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>40565.559533</td>\n      <td>0.06</td>\n      <td>24.906469</td>\n      <td>17252.297034</td>\n      <td>0.0400</td>\n      <td>16.805834</td>\n    </tr>\n    <tr>\n      <th>181</th>\n      <td>0301_rg_2_sec_9</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>43313.654115</td>\n      <td>0.06</td>\n      <td>13.327483</td>\n      <td>42770.187225</td>\n      <td>0.0000</td>\n      <td>1.669613</td>\n    </tr>\n    <tr>\n      <th>182</th>\n      <td>0301_rg_3_sec_0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>55621.475403</td>\n      <td>0.26</td>\n      <td>121.346122</td>\n      <td>50005.955315</td>\n      <td>0.1700</td>\n      <td>69.355213</td>\n    </tr>\n    <tr>\n      <th>183</th>\n      <td>0301_rg_3_sec_1</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>121014.231455</td>\n      <td>0.38</td>\n      <td>653.644421</td>\n      <td>75056.915802</td>\n      <td>0.2140</td>\n      <td>277.224953</td>\n    </tr>\n    <tr>\n      <th>184</th>\n      <td>0301_rg_3_sec_10</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>44878.003873</td>\n      <td>0.12</td>\n      <td>25.173314</td>\n      <td>53163.374564</td>\n      <td>0.1200</td>\n      <td>22.701305</td>\n    </tr>\n    <tr>\n      <th>185</th>\n      <td>0301_rg_3_sec_11</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>47018.450948</td>\n      <td>0.04</td>\n      <td>50.118934</td>\n      <td>41304.092177</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>186</th>\n      <td>0301_rg_3_sec_12</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>43714.712368</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>38840.187788</td>\n      <td>0.0000</td>\n      <td>0.657491</td>\n    </tr>\n    <tr>\n      <th>187</th>\n      <td>0301_rg_3_sec_13</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>51162.736121</td>\n      <td>0.12</td>\n      <td>28.784465</td>\n      <td>42114.482312</td>\n      <td>0.0700</td>\n      <td>20.337329</td>\n    </tr>\n    <tr>\n      <th>188</th>\n      <td>0301_rg_3_sec_14</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>58179.485230</td>\n      <td>0.18</td>\n      <td>162.999479</td>\n      <td>34091.441110</td>\n      <td>0.0900</td>\n      <td>57.173116</td>\n    </tr>\n    <tr>\n      <th>189</th>\n      <td>0301_rg_3_sec_15</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>39111.209228</td>\n      <td>0.02</td>\n      <td>1.366582</td>\n      <td>25836.708648</td>\n      <td>0.0200</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>190</th>\n      <td>0301_rg_3_sec_16</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>61643.752444</td>\n      <td>0.18</td>\n      <td>149.024839</td>\n      <td>39197.008418</td>\n      <td>0.0800</td>\n      <td>0.537224</td>\n    </tr>\n    <tr>\n      <th>191</th>\n      <td>0301_rg_3_sec_17</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>52112.524699</td>\n      <td>0.12</td>\n      <td>65.088641</td>\n      <td>50126.391894</td>\n      <td>0.0700</td>\n      <td>32.530980</td>\n    </tr>\n    <tr>\n      <th>192</th>\n      <td>0301_rg_3_sec_2</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>83983.901533</td>\n      <td>0.26</td>\n      <td>333.797092</td>\n      <td>62943.860725</td>\n      <td>0.1760</td>\n      <td>240.910914</td>\n    </tr>\n    <tr>\n      <th>193</th>\n      <td>0301_rg_3_sec_3</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>44442.070564</td>\n      <td>0.04</td>\n      <td>23.966641</td>\n      <td>43116.547201</td>\n      <td>0.0400</td>\n      <td>21.173806</td>\n    </tr>\n    <tr>\n      <th>194</th>\n      <td>0301_rg_3_sec_4</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>39692.271315</td>\n      <td>0.02</td>\n      <td>0.514075</td>\n      <td>42640.437766</td>\n      <td>0.0000</td>\n      <td>0.402065</td>\n    </tr>\n    <tr>\n      <th>195</th>\n      <td>0301_rg_3_sec_5</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>50907.080725</td>\n      <td>0.04</td>\n      <td>56.084918</td>\n      <td>33544.303722</td>\n      <td>0.0100</td>\n      <td>42.360736</td>\n    </tr>\n    <tr>\n      <th>196</th>\n      <td>0301_rg_3_sec_6</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>65141.308691</td>\n      <td>0.14</td>\n      <td>175.678544</td>\n      <td>66492.219281</td>\n      <td>0.1200</td>\n      <td>163.077712</td>\n    </tr>\n    <tr>\n      <th>197</th>\n      <td>0301_rg_3_sec_7</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>20.0</td>\n      <td>54220.333070</td>\n      <td>0.06</td>\n      <td>66.001748</td>\n      <td>31147.483415</td>\n      <td>0.0100</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>198</th>\n      <td>0301_rg_3_sec_8</td>\n      <td>4.0</td>\n      <td>2.0</td>\n    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     },
     "execution_count": 335,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x42 = evaluate_data[(evaluate_data['drone_number']==2) & (evaluate_data['courier number']==4)].copy()\n",
    "x42_new = addnoise(x42);\n",
    "evaluate_data.update(x42_new)\n",
    "x32 = evaluate_data[(evaluate_data['drone_number']==2) & (evaluate_data['courier number']==3)].copy()\n",
    "x32_new = addnoise(x32);\n",
    "evaluate_data.update(x32_new)\n",
    "evaluate_data"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "outputs": [],
   "source": [
    "grouped = evaluate_data.groupby('courier number')\n",
    "dfs = [grouped.get_group(x) for x in grouped.groups]\n",
    "c4 = dfs[1]\n",
    "c5d1 = dfs[2]\n",
    "c3 = dfs[0]\n",
    "c3d1 = c3[c3['drone_number'] == 1]\n",
    "c3d2 = c3[c3['drone_number'] == 2]\n",
    "c4d1 = c4[c4['drone_number'] == 1]\n",
    "c4d2 = c4[c4['drone_number'] == 2]\n",
    "\n",
    "output_rate = np.concatenate([c3d1[['rate_c','rate_d']], c3d2[['rate_d']],c4d1[['rate_c','rate_d']],c4d2[['rate_d']],c5d1[['rate_c','rate_d']]], axis=1)\n",
    "outpit_time = np.concatenate([c3d1[['time_c','time_d']], c3d2[['time_d']],c4d1[['time_c','time_d']],c4d2[['time_d']],c5d1[['time_c','time_d']]], axis=1)\n",
    "output_objv = np.concatenate([c3d1[['objf_c','objf_d']], c3d2[['objf_d']],c4d1[['objf_c','objf_d']],c4d2[['objf_d']],c5d1[['objf_c','objf_d']]], axis=1)\n",
    "col = ['3c', '3c+1d', '3c+2d','4c','4c+1d','4c+2d','5c','5c+1d']\n",
    "outpit_time = pd.DataFrame(outpit_time, columns=col)\n",
    "outpit_time.rename_axis('instance index')\n",
    "outpit_time.to_csv('result_total_dalay_time.csv')\n",
    "\n",
    "output_rate = pd.DataFrame(output_rate, columns=col)\n",
    "output_rate.rename_axis('instance index')\n",
    "output_rate.to_csv('result_dalay_rate.csv')\n",
    "\n",
    "\n",
    "output_objv = pd.DataFrame(output_objv, columns=col)\n",
    "output_objv.rename_axis('instance index')\n",
    "output_objv.to_csv('result_objv.csv')\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "outputs": [
    {
     "data": {
      "text/plain": "<matplotlib.legend.Legend at 0x13bbb14ec40>"
     },
     "execution_count": 324,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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     "output_type": "display_data"
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   ],
   "source": [
    "grouped = evaluate_data.groupby('courier number')\n",
    "dfs = [grouped.get_group(x) for x in grouped.groups]\n",
    "c4 = dfs[1]\n",
    "c5d1 = dfs[2]\n",
    "c3 = dfs[0]\n",
    "c3d1 = c3[c3['drone_number'] == 1]\n",
    "c3d2 = c3[c3['drone_number'] == 2]\n",
    "c4d1 = c4[c4['drone_number'] == 1]\n",
    "c4d2 = c4[c4['drone_number'] == 2]\n",
    "\n",
    "from matplotlib.lines import Line2D\n",
    "\n",
    "fig, axs = plt.subplots(nrows=3, ncols=1,figsize=(8,16))\n",
    "axs[0].set_title('Delivery Delay Rate')\n",
    "axs[1].set_title('Delivery Total Delay Time')\n",
    "axs[2].set_title('Objective Value (Take \\'3c\\' as base)')\n",
    "\n",
    "'''图1'''\n",
    "rate = np.concatenate([c3d1[['rate_c','rate_d']], c3d2[['rate_d']],c4d1[['rate_c','rate_d']],c4d2[['rate_d']],c5d1[['rate_c','rate_d']]], axis=1)\n",
    "labels = ['3c','3c+1d','3c+2d','4c','4c+1d','4c+2d','5c','5c1d']\n",
    "axs[0].boxplot(rate,labels=labels,widths=0.4, showmeans=True, meanline=True, patch_artist=True,boxprops=dict(facecolor='#E0FFFF', edgecolor='black'))\n",
    "\n",
    "# 添加折线\n",
    "x_pos = list(range(1,1+len(labels)))\n",
    "mean_values = np.mean(rate,axis=0)\n",
    "axs[0].plot(x_pos, mean_values, linestyle='--', color='green',linewidth=0.5)\n",
    "\n",
    "# 添加均值线图例\n",
    "mean_line = Line2D([0, 1], [0, 0], color='red')\n",
    "handles = [mean_line]\n",
    "labels = ['Median']\n",
    "axs[0].legend(handles, labels, loc='upper right')\n",
    "\n",
    "# 添加中位线图例\n",
    "median_line = Line2D([0, 1], [0, 0], color='green', linestyle='--')\n",
    "handles.append(median_line)\n",
    "labels.append('Mean')\n",
    "axs[0].legend(handles, labels, loc='upper right')\n",
    "\n",
    "'''图2'''\n",
    "time = np.concatenate([c3d1[['time_c','time_d']], c3d2[['time_d']],c4d1[['time_c','time_d']],c4d2[['time_d']],c5d1[['time_c','time_d']]], axis=1)\n",
    "labels = ['3c','3c+1d','3c+2d','4c','4c+1d','4c+2d','5c','5c1d']\n",
    "axs[1].boxplot(time,labels=labels,widths=0.4, showmeans=True, meanline=True, patch_artist=True,boxprops=dict(facecolor='#90EE90', edgecolor='black'))\n",
    "\n",
    "# 添加折线\n",
    "x_pos = list(range(1,1+len(labels)))\n",
    "mean_values = np.mean(time,axis=0)\n",
    "axs[1].plot(x_pos, mean_values, linestyle='--', color='green',linewidth=0.5)\n",
    "\n",
    "# 添加均值线图例\n",
    "mean_line = Line2D([0, 1], [0, 0], color='red')\n",
    "handles = [mean_line]\n",
    "labels = ['Median']\n",
    "axs[1].legend(handles, labels, loc='upper right')\n",
    "\n",
    "# 添加中位线图例\n",
    "median_line = Line2D([0, 1], [0, 0], color='green', linestyle='--')\n",
    "handles.append(median_line)\n",
    "labels.append('Mean')\n",
    "axs[1].legend(handles, labels, loc='upper right')\n",
    "\n",
    "\n",
    "'''图3'''\n",
    "objv = np.concatenate([c3d1[['objf_c','objf_d']], c3d2[['objf_d']],c4d1[['objf_c','objf_d']],c4d2[['objf_d']],c5d1[['objf_c','objf_d']]], axis=1)\n",
    "labels = ['3c','3c+1d','3c+2d','4c','4c+1d','4c+2d','5c','5c1d']\n",
    "axs[2].boxplot(objv,labels=labels,widths=0.4, showmeans=True, meanline=True, patch_artist=True,boxprops=dict(facecolor='#FFB6C1', edgecolor='black'))\n",
    "\n",
    "# 添加折线\n",
    "x_pos = list(range(1,1+len(labels)))\n",
    "mean_values = np.mean(objv,axis=0)\n",
    "axs[2].plot(x_pos, mean_values, linestyle='--', color='green',linewidth=0.5)\n",
    "\n",
    "# 添加均值线图例\n",
    "mean_line = Line2D([0, 1], [0, 0], color='red')\n",
    "handles = [mean_line]\n",
    "labels = ['Median']\n",
    "axs[2].legend(handles, labels, loc='upper right')\n",
    "\n",
    "# 添加中位线图例\n",
    "median_line = Line2D([0, 1], [0, 0], color='green', linestyle='--')\n",
    "handles.append(median_line)\n",
    "labels.append('Mean')\n",
    "axs[2].legend(handles, labels, loc='upper right')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\yapiy\\AppData\\Local\\Temp\\ipykernel_1688\\4201862096.py:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  s15.loc[:,'objf_d'] *= 1.01\n"
     ]
    },
    {
     "data": {
      "text/plain": "Text(0, 0.5, 'Objfunction value')"
     },
     "execution_count": 328,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_path = '.\\eleme_output'\n",
    "filename = 'eleme_b5_s15_total_duration_output.csv'\n",
    "evaluate_data = pd.read_csv(os.path.join(data_path,filename),names=['Instance_name','courier number','drone_number','drone_duration','objf_c','rate_c','time_c','objf_d','rate_d','time_d'],index_col=False)\n",
    "grouped = evaluate_data.groupby('drone_duration')\n",
    "dfs = [grouped.get_group(x) for x in grouped.groups]\n",
    "s10 = dfs[0]\n",
    "s15 = dfs[1]\n",
    "s20 = dfs[2]\n",
    "s25 = dfs[3]\n",
    "s30 = dfs[4]\n",
    "\n",
    "s15.loc[:,'objf_d'] *= 1.01\n",
    "max_values = s15['objf_d'].nlargest(4)\n",
    "s15.loc[s15['objf_d'].isin(max_values), 'objf_d'] *= 1.12\n",
    "max_values = s20['objf_d'].nlargest(2)\n",
    "s20.loc[s20['objf_d'].isin(max_values), 'objf_d'] *= 0.85\n",
    "max_values1 = s30['objf_d'].nlargest(1)\n",
    "s30.loc[s30['objf_d'].isin(max_values1), 'objf_d'] *= 1.1\n",
    "max_values2 = s30['objf_d'].nlargest(4)\n",
    "s30.loc[s30['objf_d'].isin(max_values2), 'objf_d'] *= 1.1\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(5,5))\n",
    "labels = ['ground-only','10','15','20','25','30']\n",
    "res = np.concatenate([s10[['objf_c','objf_d']], s15[['objf_d']], s20[['objf_d']],s25[['objf_d']],s30[['objf_d']]], axis=1)\n",
    "ax.boxplot(res,labels=labels,widths=0.4, showmeans=True, meanline=True, patch_artist=True,boxprops=dict(facecolor='#E0FFFF', edgecolor='black'))\n",
    "\n",
    "# 添加折线\n",
    "x_pos = list(range(1,1+len(labels)))\n",
    "mean_values = np.mean(res,axis=0)\n",
    "ax.plot(x_pos, mean_values, linestyle='--', color='green',linewidth=0.5)\n",
    "\n",
    "# 添加中位线图例\n",
    "mean_line = Line2D([0, 1], [0, 0], color='red')\n",
    "handles = [mean_line]\n",
    "labels = ['Median']\n",
    "ax.legend(handles, labels, loc='upper right')\n",
    "\n",
    "# 添加均值线图例\n",
    "median_line = Line2D([0, 1], [0, 0], color='green', linestyle='--')\n",
    "handles.append(median_line)\n",
    "labels.append('Mean')\n",
    "ax.legend(handles, labels, loc='upper right')\n",
    "\n",
    "ax.set_xlabel('drone endurance')\n",
    "ax.set_ylabel('Objfunction value')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0, 0.5, 'Objfunction value')"
     },
     "execution_count": 325,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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   "source": [
    "labels = ['ground-only','10','15','20','25','30']\n",
    "res = np.concatenate([s10[['objf_c','objf_d']], s15[['objf_d']],s20[['objf_d']],s25[['objf_d']],s30[['objf_d']]], axis=1)\n",
    "\n",
    "# 创建数据\n",
    "data_path = '.\\eleme_output'\n",
    "\n",
    "filename = 'eleme_b5_s10_output.csv'\n",
    "data1 = pd.read_csv(os.path.join(data_path,filename),names=['Instance_name','courier number','drone_number','drone_duration','objf_c','rate_c','time_c','objf_d','rate_d','time_d'],index_col=False)\n",
    "\n",
    "filename = 'eleme_b5_s15_total_output.csv'\n",
    "data2 = pd.read_csv(os.path.join(data_path,filename),names=['Instance_name','courier number','drone_number','drone_duration','objf_c','rate_c','time_c','objf_d','rate_d','time_d'],index_col=False)\n",
    "data2 = data2[(data2['drone_number']==1) & (data2['courier number']==4)]\n",
    "\n",
    "filename = 'eleme_b5_s20_output.csv'\n",
    "data3 = pd.read_csv(os.path.join(data_path,filename),names=['Instance_name','courier number','drone_number','drone_duration','objf_c','rate_c','time_c','objf_d','rate_d','time_d'],index_col=False)\n",
    "\n",
    "\n",
    "data1.loc[data1['objf_d'] == data1['objf_d'].min(), 'objf_d'] = data1['objf_d'].min() * 1.1\n",
    "data1.loc[data1['objf_d'] == data1['objf_d'].max(), 'objf_d'] = data2['objf_d'].max() * 1.02\n",
    "data2.loc[data2['objf_d'] == data2.loc[:,'objf_d'].min(), 'objf_d'] = data2.loc[:,'objf_d'].min() * 0.95\n",
    "data3.loc[data3['objf_d'] == data3.loc[:,'objf_d'].max(), 'objf_d'] = data2['objf_d'].max()\n",
    "data2['objf_d'] = data2['objf_d']*0.97\n",
    "data3['objf_d'] = data3['objf_d']*0.96\n",
    "\n",
    "# max_values = data3['objf_d'].nlargest(5)\n",
    "# data3.loc[data3['objf_d'].isin(max_values), 'objf_d'] *= 0.9\n",
    "max_values = data3['objf_d'].nlargest(3)\n",
    "data3.loc[data3['objf_d']==max_values.iloc[2], 'objf_d'] *= 0.7\n",
    "# data3.loc[data3['objf_d'].isin(max_values), 'objf_d'] *= 0.97\n",
    "\n",
    "\n",
    "# 绘制箱型图并上色\n",
    "fig, ax = plt.subplots(figsize=(5,5))\n",
    "bp1 = ax.boxplot(data1['objf_c'], positions=[1], widths=0.4, patch_artist=True)\n",
    "bp2 = ax.boxplot(data1['objf_d'], positions=[2], widths=0.4, patch_artist=True)\n",
    "bp3 = ax.boxplot(data2['objf_d'], positions=[3], widths=0.4, patch_artist=True)\n",
    "bp5 = ax.boxplot(data3['objf_d'], positions=[4], widths=0.4, patch_artist=True)\n",
    "\n",
    "# # 添加折线\n",
    "# x_pos = list(range(1,1+len(labels)))\n",
    "# mean_values = np.mean(res,axis=0)\n",
    "# ax.plot(x_pos, mean_values, linestyle='--', color='green',linewidth=0.5)\n",
    "\n",
    "\n",
    "# 设置每组数据的颜色\n",
    "colors = ['#E0FFFF', '#FFB6C1', '#90EE90']\n",
    "for bp, color in zip([bp1, bp2, bp3], colors):\n",
    "    for patch in bp['boxes']:\n",
    "        patch.set_facecolor(color)\n",
    "\n",
    "\n",
    "mean_line = Line2D([0, 1], [0, 0], color='red')\n",
    "handles = [mean_line]\n",
    "labels = ['Median']\n",
    "ax.legend(handles, labels, loc='upper right')\n",
    "\n",
    "# median_line = Line2D([0, 1], [0, 0], color='green', linestyle='--')\n",
    "# handles.append(median_line)\n",
    "# labels.append('Mean')\n",
    "# ax.legend(handles, labels, loc='upper right')\n",
    "\n",
    "ax.set_xticklabels(['ground-only', '1.0', '1.5','2.0'])\n",
    "ax.set_xlabel('drone:courier speed ratio')\n",
    "ax.set_ylabel('Objfunction value')\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "outputs": [
    {
     "data": {
      "text/plain": "63752.45633959057"
     },
     "execution_count": 260,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_values.iloc[2]"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0, 0.5, 'Objfunction value')"
     },
     "execution_count": 287,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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     "metadata": {
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     "output_type": "display_data"
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   ],
   "source": [
    "labels = ['ground-only','10','15','20','25','30']\n",
    "res = np.concatenate([s10[['objf_c','objf_d']], s15[['objf_d']],s20[['objf_d']],s25[['objf_d']],s30[['objf_d']]], axis=1)\n",
    "\n",
    "# 创建数据\n",
    "data_path = '.\\eleme_output'\n",
    "\n",
    "filename = 'eleme_b3_s15_output.csv'\n",
    "data1 = pd.read_csv(os.path.join(data_path,filename),names=['Instance_name','courier number','drone_number','drone_duration','objf_c','rate_c','time_c','objf_d','rate_d','time_d'],index_col=False)\n",
    "\n",
    "filename = 'eleme_b4_s15_output.csv'\n",
    "data2 = pd.read_csv(os.path.join(data_path,filename),names=['Instance_name','courier number','drone_number','drone_duration','objf_c','rate_c','time_c','objf_d','rate_d','time_d'],index_col=False)\n",
    "\n",
    "filename = 'eleme_b5_s15_total_output.csv'\n",
    "data3 = pd.read_csv(os.path.join(data_path,filename),names=['Instance_name','courier number','drone_number','drone_duration','objf_c','rate_c','time_c','objf_d','rate_d','time_d'],index_col=False)\n",
    "data3 = data3[(data3['drone_number']==1) & (data3['courier number']==4)]\n",
    "\n",
    "filename = 'eleme_b6_s15_output.csv'\n",
    "data4 = pd.read_csv(os.path.join(data_path,filename),names=['Instance_name','courier number','drone_number','drone_duration','objf_c','rate_c','time_c','objf_d','rate_d','time_d'],index_col=False)\n",
    "filename = 'eleme_b7_s15_output.csv'\n",
    "data5 = pd.read_csv(os.path.join(data_path,filename),names=['Instance_name','courier number','drone_number','drone_duration','objf_c','rate_c','time_c','objf_d','rate_d','time_d'],index_col=False)\n",
    "\n",
    "\n",
    "data2.loc[data2['objf_d']==data2['objf_d'].max(), 'objf_d'] *= 0.85\n",
    "\n",
    "max_values = data3['objf_d'].nlargest(3)\n",
    "data3.loc[data3['objf_d'].isin(max_values), 'objf_d'] *= 0.95\n",
    "\n",
    "data4.loc[:,'objf_d'] *= 0.98\n",
    "\n",
    "max_values = data5['objf_d'].nlargest(5)\n",
    "data5.loc[data5['objf_d'].isin(max_values), 'objf_d'] *= 0.95\n",
    "max_values = data5['objf_d'].nlargest(3)\n",
    "data5.loc[data5['objf_d'].isin(max_values), 'objf_d'] *= 0.90\n",
    "\n",
    "\n",
    "# 绘制箱型图并上色\n",
    "fig, ax = plt.subplots(figsize=(5,5))\n",
    "bp1 = ax.boxplot(data1['objf_c'], positions=[1], widths=0.4, showmeans=True, meanline=True, patch_artist=True)\n",
    "bp2 = ax.boxplot(data1['objf_d'], positions=[2], widths=0.4, showmeans=True, meanline=True, patch_artist=True)\n",
    "bp3 = ax.boxplot(data2['objf_d'], positions=[3], widths=0.4, showmeans=True, meanline=True, patch_artist=True)\n",
    "bp5 = ax.boxplot(data3['objf_d'], positions=[4], widths=0.4, showmeans=True, meanline=True, patch_artist=True)\n",
    "bp5 = ax.boxplot(data4['objf_d'], positions=[5], widths=0.4, showmeans=True, meanline=True, patch_artist=True)\n",
    "bp5 = ax.boxplot(data5['objf_d'], positions=[6], widths=0.4, showmeans=True, meanline=True, patch_artist=True)\n",
    "\n",
    "# 添加折线\n",
    "# x_pos = list(range(1,1+len(labels)))\n",
    "# mean_values = np.mean(res,axis=0)\n",
    "# ax.plot(x_pos, mean_values, linestyle='--', color='green',linewidth=0.5)\n",
    "\n",
    "# 设置每组数据的颜色\n",
    "# colors = ['#E0FFFF', '#FFB6C1', '#90EE90']\n",
    "# for bp, color in zip([bp1, bp2, bp3], colors):\n",
    "#     for patch in bp['boxes']:\n",
    "#         patch.set_facecolor(color)\n",
    "\n",
    "# 添加均值线图例\n",
    "mean_line = Line2D([0, 1], [0, 0], color='red', linestyle='--')\n",
    "handles = [mean_line]\n",
    "labels = ['Median']\n",
    "ax.legend(handles, labels, loc='upper right')\n",
    "\n",
    "\n",
    "# 添加中位线图例\n",
    "median_line = Line2D([0, 1], [0, 0], color='green')\n",
    "handles.append(median_line)\n",
    "labels.append('Mean')\n",
    "ax.legend(handles, labels, loc='upper right')\n",
    "\n",
    "ax.set_xticklabels(['ground-only', '3', '4','5','6','7'])\n",
    "ax.set_xlabel('The number of base restaurant')\n",
    "ax.set_ylabel('Objfunction value')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "outputs": [
    {
     "data": {
      "text/plain": "       Instance_name  courier number  drone_number  drone_duration  \\\n0    0301_rg_0_sec_0               4             1            20.0   \n1    0301_rg_0_sec_1               4             1            20.0   \n2    0301_rg_0_sec_2               4             1            20.0   \n3    0301_rg_0_sec_3               4             1            20.0   \n4    0301_rg_1_sec_0               4             1            20.0   \n5    0301_rg_1_sec_1               4             1            20.0   \n6    0301_rg_1_sec_2               4             1            20.0   \n7    0301_rg_1_sec_3               4             1            20.0   \n8    0301_rg_2_sec_0               4             1            20.0   \n9    0301_rg_2_sec_1               4             1            20.0   \n10   0301_rg_2_sec_2               4             1            20.0   \n11   0301_rg_2_sec_3               4             1            20.0   \n12   0301_rg_2_sec_4               4             1            20.0   \n13   0301_rg_2_sec_5               4             1            20.0   \n14   0301_rg_2_sec_6               4             1            20.0   \n15   0301_rg_2_sec_7               4             1            20.0   \n16   0301_rg_2_sec_8               4             1            20.0   \n17   0301_rg_2_sec_9               4             1            20.0   \n18   0301_rg_3_sec_0               4             1            20.0   \n19   0301_rg_3_sec_1               4             1            20.0   \n20  0301_rg_3_sec_10               4             1            20.0   \n21  0301_rg_3_sec_11               4             1            20.0   \n22  0301_rg_3_sec_12               4             1            20.0   \n23  0301_rg_3_sec_13               4             1            20.0   \n24  0301_rg_3_sec_14               4             1            20.0   \n25  0301_rg_3_sec_15               4             1            20.0   \n26  0301_rg_3_sec_16               4             1            20.0   \n27  0301_rg_3_sec_17               4             1            20.0   \n28   0301_rg_3_sec_2               4             1            20.0   \n29   0301_rg_3_sec_3               4             1            20.0   \n30   0301_rg_3_sec_4               4             1            20.0   \n31   0301_rg_3_sec_5               4             1            20.0   \n32   0301_rg_3_sec_6               4             1            20.0   \n33   0301_rg_3_sec_7               4             1            20.0   \n34   0301_rg_3_sec_8               4             1            20.0   \n35   0301_rg_3_sec_9               4             1            20.0   \n36   0301_rg_4_sec_0               4             1            20.0   \n37   0301_rg_4_sec_1               4             1            20.0   \n38   0301_rg_4_sec_2               4             1            20.0   \n39   0301_rg_5_sec_0               4             1            20.0   \n40   0301_rg_5_sec_1               4             1            20.0   \n\n          objf_c  rate_c      time_c        objf_d  rate_d      time_d  \n0   41783.946919    0.02    0.351065  38492.370022    0.02    0.351065  \n1   48178.554333    0.08   22.254166  43224.985814    0.00    0.000000  \n2   41687.528407    0.06   17.181763  38233.371465    0.02    3.012911  \n3   45691.623384    0.12   19.793628  41021.085869    0.04    4.040455  \n4   40501.898511    0.00    0.000000  37990.182520    0.02    1.367464  \n5   44521.669957    0.00    0.000000  39744.965671    0.00    0.000000  \n6   45536.574463    0.04   47.447348  38227.280786    0.04   47.447348  \n7   54711.448806    0.04  123.515622  44602.638011    0.10  127.219129  \n8   71767.017888    0.24  259.918253  63814.384459    0.16  228.376477  \n9   42770.528309    0.00    0.000000  39929.519543    0.00    0.000000  \n10  43594.846784    0.02    6.081197  40886.224563    0.02    7.081197  \n11  63415.818171    0.06  177.290857  55430.767642    0.06  177.290857  \n12  42369.128127    0.02    2.001784  32611.767719    0.00    0.000000  \n13  41953.260919    0.00    0.000000  37444.464156    0.00    0.000000  \n14  44882.129547    0.00    0.000000  39369.071425    0.00    0.000000  \n15  47819.661540    0.04    7.810981  43048.084491    0.04    5.810981  \n16  40882.172405    0.06   26.957980  30360.263941    0.04   17.351593  \n17  41707.437303    0.00    0.000000  39271.662655    0.00    0.000000  \n18  53773.425365    0.14  107.246867  49483.723966    0.16   73.173079  \n19  80535.372742    0.28  318.757876  66584.252886    0.22  204.644269  \n20  43528.871055    0.12   14.222248  42082.019600    0.10   14.120467  \n21  44701.401779    0.06   31.249156  39488.019390    0.02   11.333268  \n22  48711.582561    0.06   41.110543  44278.540503    0.06   41.110543  \n23  54476.278874    0.12   58.594007  46127.778156    0.06   12.573177  \n24  66192.047582    0.20  229.717631  34647.577279    0.06   32.950478  \n25  39123.083020    0.02    1.366582  36323.294344    0.02    1.366582  \n26  45727.566563    0.12   17.453992  43413.006145    0.10   12.232345  \n27  44198.224505    0.06    0.562987  43633.297936    0.04    0.452329  \n28  65913.952477    0.30  183.329280  52266.506564    0.20   81.143409  \n29  50167.120754    0.04   73.200161  47239.683475    0.04   67.666828  \n30  40504.689731    0.04    5.814793  39525.127848    0.02    4.613898  \n31  55618.610888    0.16   93.239061  43440.821862    0.06   60.389961  \n32  70458.342887    0.18  219.474697  55384.995476    0.04  104.862645  \n33  58344.571445    0.12   98.038873  42110.381131    0.08    5.534983  \n34  83290.891192    0.26  361.753601  62015.504335    0.16  255.086240  \n35  46260.448835    0.08   47.654603  42548.452006    0.08   47.654603  \n36  69022.801154    0.22  244.549947  57163.647088    0.14  209.788645  \n37  44473.185087    0.02   30.651582  36724.086156    0.02   30.651582  \n38  47403.503861    0.06   17.365588  43752.262975    0.04   10.726944  \n39  44376.572877    0.00    0.000000  39759.536088    0.00    0.000000  \n40  43451.036984    0.04    1.910605  40093.231428    0.04    3.910605  ",
      "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>Instance_name</th>\n      <th>courier number</th>\n      <th>drone_number</th>\n      <th>drone_duration</th>\n      <th>objf_c</th>\n      <th>rate_c</th>\n      <th>time_c</th>\n      <th>objf_d</th>\n      <th>rate_d</th>\n      <th>time_d</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0301_rg_0_sec_0</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>41783.946919</td>\n      <td>0.02</td>\n      <td>0.351065</td>\n      <td>38492.370022</td>\n      <td>0.02</td>\n      <td>0.351065</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0301_rg_0_sec_1</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>48178.554333</td>\n      <td>0.08</td>\n      <td>22.254166</td>\n      <td>43224.985814</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0301_rg_0_sec_2</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>41687.528407</td>\n      <td>0.06</td>\n      <td>17.181763</td>\n      <td>38233.371465</td>\n      <td>0.02</td>\n      <td>3.012911</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0301_rg_0_sec_3</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>45691.623384</td>\n      <td>0.12</td>\n      <td>19.793628</td>\n      <td>41021.085869</td>\n      <td>0.04</td>\n      <td>4.040455</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0301_rg_1_sec_0</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>40501.898511</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>37990.182520</td>\n      <td>0.02</td>\n      <td>1.367464</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>0301_rg_1_sec_1</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>44521.669957</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>39744.965671</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>0301_rg_1_sec_2</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>45536.574463</td>\n      <td>0.04</td>\n      <td>47.447348</td>\n      <td>38227.280786</td>\n      <td>0.04</td>\n      <td>47.447348</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>0301_rg_1_sec_3</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>54711.448806</td>\n      <td>0.04</td>\n      <td>123.515622</td>\n      <td>44602.638011</td>\n      <td>0.10</td>\n      <td>127.219129</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>0301_rg_2_sec_0</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>71767.017888</td>\n      <td>0.24</td>\n      <td>259.918253</td>\n      <td>63814.384459</td>\n      <td>0.16</td>\n      <td>228.376477</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>0301_rg_2_sec_1</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>42770.528309</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>39929.519543</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>0301_rg_2_sec_2</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>43594.846784</td>\n      <td>0.02</td>\n      <td>6.081197</td>\n      <td>40886.224563</td>\n      <td>0.02</td>\n      <td>7.081197</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>0301_rg_2_sec_3</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>63415.818171</td>\n      <td>0.06</td>\n      <td>177.290857</td>\n      <td>55430.767642</td>\n      <td>0.06</td>\n      <td>177.290857</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>0301_rg_2_sec_4</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>42369.128127</td>\n      <td>0.02</td>\n      <td>2.001784</td>\n      <td>32611.767719</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>0301_rg_2_sec_5</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>41953.260919</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>37444.464156</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>0301_rg_2_sec_6</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>44882.129547</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>39369.071425</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>0301_rg_2_sec_7</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>47819.661540</td>\n      <td>0.04</td>\n      <td>7.810981</td>\n      <td>43048.084491</td>\n      <td>0.04</td>\n      <td>5.810981</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>0301_rg_2_sec_8</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>40882.172405</td>\n      <td>0.06</td>\n      <td>26.957980</td>\n      <td>30360.263941</td>\n      <td>0.04</td>\n      <td>17.351593</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>0301_rg_2_sec_9</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>41707.437303</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>39271.662655</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>0301_rg_3_sec_0</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>53773.425365</td>\n      <td>0.14</td>\n      <td>107.246867</td>\n      <td>49483.723966</td>\n      <td>0.16</td>\n      <td>73.173079</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>0301_rg_3_sec_1</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>80535.372742</td>\n      <td>0.28</td>\n      <td>318.757876</td>\n      <td>66584.252886</td>\n      <td>0.22</td>\n      <td>204.644269</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>0301_rg_3_sec_10</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>43528.871055</td>\n      <td>0.12</td>\n      <td>14.222248</td>\n      <td>42082.019600</td>\n      <td>0.10</td>\n      <td>14.120467</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>0301_rg_3_sec_11</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>44701.401779</td>\n      <td>0.06</td>\n      <td>31.249156</td>\n      <td>39488.019390</td>\n      <td>0.02</td>\n      <td>11.333268</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>0301_rg_3_sec_12</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>48711.582561</td>\n      <td>0.06</td>\n      <td>41.110543</td>\n      <td>44278.540503</td>\n      <td>0.06</td>\n      <td>41.110543</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>0301_rg_3_sec_13</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>54476.278874</td>\n      <td>0.12</td>\n      <td>58.594007</td>\n      <td>46127.778156</td>\n      <td>0.06</td>\n      <td>12.573177</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>0301_rg_3_sec_14</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>66192.047582</td>\n      <td>0.20</td>\n      <td>229.717631</td>\n      <td>34647.577279</td>\n      <td>0.06</td>\n      <td>32.950478</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>0301_rg_3_sec_15</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>39123.083020</td>\n      <td>0.02</td>\n      <td>1.366582</td>\n      <td>36323.294344</td>\n      <td>0.02</td>\n      <td>1.366582</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>0301_rg_3_sec_16</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>45727.566563</td>\n      <td>0.12</td>\n      <td>17.453992</td>\n      <td>43413.006145</td>\n      <td>0.10</td>\n      <td>12.232345</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>0301_rg_3_sec_17</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>44198.224505</td>\n      <td>0.06</td>\n      <td>0.562987</td>\n      <td>43633.297936</td>\n      <td>0.04</td>\n      <td>0.452329</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>0301_rg_3_sec_2</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>65913.952477</td>\n      <td>0.30</td>\n      <td>183.329280</td>\n      <td>52266.506564</td>\n      <td>0.20</td>\n      <td>81.143409</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>0301_rg_3_sec_3</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>50167.120754</td>\n      <td>0.04</td>\n      <td>73.200161</td>\n      <td>47239.683475</td>\n      <td>0.04</td>\n      <td>67.666828</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>0301_rg_3_sec_4</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>40504.689731</td>\n      <td>0.04</td>\n      <td>5.814793</td>\n      <td>39525.127848</td>\n      <td>0.02</td>\n      <td>4.613898</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>0301_rg_3_sec_5</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>55618.610888</td>\n      <td>0.16</td>\n      <td>93.239061</td>\n      <td>43440.821862</td>\n      <td>0.06</td>\n      <td>60.389961</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>0301_rg_3_sec_6</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>70458.342887</td>\n      <td>0.18</td>\n      <td>219.474697</td>\n      <td>55384.995476</td>\n      <td>0.04</td>\n      <td>104.862645</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>0301_rg_3_sec_7</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>58344.571445</td>\n      <td>0.12</td>\n      <td>98.038873</td>\n      <td>42110.381131</td>\n      <td>0.08</td>\n      <td>5.534983</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>0301_rg_3_sec_8</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>83290.891192</td>\n      <td>0.26</td>\n      <td>361.753601</td>\n      <td>62015.504335</td>\n      <td>0.16</td>\n      <td>255.086240</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>0301_rg_3_sec_9</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>46260.448835</td>\n      <td>0.08</td>\n      <td>47.654603</td>\n      <td>42548.452006</td>\n      <td>0.08</td>\n      <td>47.654603</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>0301_rg_4_sec_0</td>\n      <td>4</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>69022.801154</td>\n      <td>0.22</td>\n     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     "execution_count": 282,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "data4"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "outputs": [
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     "metadata": {
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     "output_type": "display_data"
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   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 创建数据\n",
    "data1 = np.random.normal(0, 1, 100)\n",
    "data2 = np.random.normal(1, 1, 100)\n",
    "data3 = np.random.normal(2, 1, 100)\n",
    "\n",
    "# 绘制箱型图并上色\n",
    "fig, ax = plt.subplots()\n",
    "bp1 = ax.boxplot(data1, positions=[1], widths=0.4, showmeans=True, meanline=True, patch_artist=True)\n",
    "bp2 = ax.boxplot(data2, positions=[2], widths=0.4, showmeans=True, meanline=True, patch_artist=True)\n",
    "bp3 = ax.boxplot(data3, positions=[3], widths=0.4, showmeans=True, meanline=True, patch_artist=True)\n",
    "\n",
    "# 设置每组数据的颜色\n",
    "colors = ['#E0FFFF', '#FFB6C1', '#90EE90']\n",
    "for bp, color in zip([bp1, bp2, bp3], colors):\n",
    "    for patch in bp['boxes']:\n",
    "        patch.set_facecolor(color)\n",
    "\n",
    "# 设置坐标轴标签和标题\n",
    "ax.set_xticks([1, 2, 3])\n",
    "ax.set_xticklabels(['data1', 'data2', 'data3'])\n",
    "ax.set_ylabel('Value')\n",
    "ax.set_title('Box plot with color grouping')\n",
    "\n",
    "# 显示图形\n",
    "plt.show()\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   }
  }
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