{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":35332,"databundleVersionId":3723648,"sourceType":"competition"},{"sourceId":3696790,"sourceType":"datasetVersion","datasetId":2211601}],"dockerImageVersionId":30746,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport seaborn as sns\nimport matplotlib.pyplot as plt","metadata":{"execution":{"iopub.status.busy":"2024-08-18T22:57:48.175853Z","iopub.execute_input":"2024-08-18T22:57:48.176284Z","iopub.status.idle":"2024-08-18T22:57:49.370784Z","shell.execute_reply.started":"2024-08-18T22:57:48.176249Z","shell.execute_reply":"2024-08-18T22:57:49.369646Z"},"trusted":true},"execution_count":2,"outputs":[]},{"cell_type":"code","source":"pd.set_option('display.max_rows',1000)\npd.set_option('display.max_columns',1000)\npd.set_option('display.width',1000)","metadata":{"execution":{"iopub.status.busy":"2024-08-18T22:57:49.372999Z","iopub.execute_input":"2024-08-18T22:57:49.375419Z","iopub.status.idle":"2024-08-18T22:57:49.381268Z","shell.execute_reply.started":"2024-08-18T22:57:49.375383Z","shell.execute_reply":"2024-08-18T22:57:49.380135Z"},"trusted":true},"execution_count":3,"outputs":[]},{"cell_type":"code","source":"train = pd.read_parquet('/kaggle/input/amex-parquet/train_data.parquet')\ntrain.head()","metadata":{"execution":{"iopub.status.busy":"2024-08-18T22:57:49.382728Z","iopub.execute_input":"2024-08-18T22:57:49.383135Z","iopub.status.idle":"2024-08-18T22:58:22.43311Z","shell.execute_reply.started":"2024-08-18T22:57:49.383099Z","shell.execute_reply":"2024-08-18T22:58:22.432056Z"},"trusted":true},"execution_count":4,"outputs":[{"execution_count":4,"output_type":"execute_result","data":{"text/plain":"                                         customer_ID         S_2       P_2      D_39       B_1       B_2       R_1       S_3      D_41       B_3  D_42  D_43      D_44       B_4      D_45       B_5       R_2      D_46      D_47      D_48  D_49       B_6       B_7       B_8      D_50      D_51       B_9       R_3      D_52       P_3      B_10  D_53       S_5      B_11       S_6      D_54       R_4       S_7      B_12       S_8      D_55      D_56      B_13       R_5      D_58       S_9      B_14      D_59      D_60      D_61      B_15      S_11      D_62 D_63 D_64      D_65      B_16  B_17      B_18      B_19  D_66      B_20  D_68      S_12       R_6      S_13      B_21      D_69      B_22      D_70      D_71      D_72      S_15      B_23  D_73       P_4      D_74      D_75  D_76      B_24       R_7  D_77      B_25      B_26      D_78      D_79       R_8  R_9      S_16      D_80      R_10      R_11      B_27      D_81      D_82      S_17      R_12      B_28      R_13      D_83  \\\n0  0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...  2017-03-09  0.938469  0.001733  0.008724  1.006838  0.009228  0.124035  0.008771  0.004709   NaN   NaN  0.000630  0.080986  0.708906  0.170600  0.006204  0.358587  0.525351  0.255736   NaN  0.063902  0.059416  0.006466  0.148698  1.335856  0.008207  0.001423  0.207334  0.736463  0.096219   NaN  0.023381  0.002768  0.008322  1.001519  0.008298  0.161345  0.148266  0.922998  0.354596  0.152025  0.118075  0.001882  0.158612  0.065728  0.018385  0.063646  0.199617  0.308233  0.016361  0.401619  0.091071   CR    O  0.007126  0.007665   NaN  0.652984  0.008520   NaN  0.004730   6.0  0.272008  0.008363  0.515222  0.002644  0.009013  0.004808  0.008342  0.119403  0.004802  0.108271  0.050882   NaN  0.007554  0.080422  0.069067   NaN  0.004327  0.007562   NaN  0.007729  0.000272  0.001576  0.004239  0.001434  NaN  0.002271  0.004061  0.007121  0.002456  0.002310  0.003532  0.506612  0.008033  1.009825  0.084683  0.003820  0.007043   \n1  0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...  2017-04-07  0.936665  0.005775  0.004923  1.000653  0.006151  0.126750  0.000798  0.002714   NaN   NaN  0.002526  0.069419  0.712795  0.113239  0.006206  0.353630  0.521311  0.223329   NaN  0.065261  0.057744  0.001614  0.149723  1.339794  0.008373  0.001984  0.202778  0.720886  0.099804   NaN  0.030599  0.002749  0.002482  1.009033  0.005136  0.140951  0.143530  0.919414  0.326757  0.156201  0.118737  0.001610  0.148459  0.093935  0.013035  0.065501  0.151387  0.265026  0.017688  0.406326  0.086805   CR    O  0.002413  0.007148   NaN  0.647093  0.002238   NaN  0.003879   6.0  0.188970  0.004030  0.509048  0.004193  0.007842  0.001283  0.006524  0.140611  0.000094  0.101018  0.040469   NaN  0.004832  0.081413  0.074166   NaN  0.004203  0.005304   NaN  0.001864  0.000979  0.009896  0.007597  0.000509  NaN  0.009810  0.000127  0.005966  0.000395  0.001327  0.007773  0.500855  0.000760  1.009461  0.081843  0.000347  0.007789   \n2  0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...  2017-05-28  0.954180  0.091505  0.021655  1.009672  0.006815  0.123977  0.007598  0.009423   NaN   NaN  0.007605  0.068839  0.720884  0.060492  0.003259  0.334650  0.524568  0.189424   NaN  0.066982  0.056647  0.005126  0.151955  1.337179  0.009355  0.007426  0.206629  0.738044  0.134073   NaN  0.048367  0.010077  0.000530  1.009184  0.006961  0.112229  0.137014  1.001977  0.304124  0.153795  0.114534  0.006328  0.139504  0.084757  0.056653  0.070607  0.305883  0.212165  0.063955  0.406768  0.094001   CR    O  0.001878  0.003636   NaN  0.645819  0.000408   NaN  0.004578   6.0  0.495308  0.006838  0.679257  0.001337  0.006025  0.009393  0.002615  0.075868  0.007152  0.103239  0.047454   NaN  0.006561  0.078891  0.076510   NaN  0.001782  0.001422   NaN  0.005419  0.006149  0.009629  0.003094  0.008295  NaN  0.009362  0.000954  0.005447  0.007345  0.007624  0.008811  0.504606  0.004056  1.004291  0.081954  0.002709  0.004093   \n3  0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...  2017-06-13  0.960384  0.002455  0.013683  1.002700  0.001373  0.117169  0.000685  0.005531   NaN   NaN  0.006406  0.055630  0.723997  0.166782  0.009918  0.323271  0.530929  0.135586   NaN  0.083720  0.049253  0.001418  0.151219  1.339909  0.006782  0.003515  0.208214  0.741813  0.134437   NaN  0.030063  0.009667  0.000783  1.007455  0.008706  0.102838  0.129017  0.704016  0.275055  0.155772  0.120740  0.004980  0.138100  0.048382  0.012498  0.065926  0.273553  0.204300  0.022732  0.405175  0.094854   CR    O  0.005899  0.005896   NaN  0.654358  0.005897   NaN  0.005207   6.0  0.508670  0.008183  0.515282  0.008716  0.005271  0.004554  0.002052  0.150209  0.005364  0.206394  0.031705   NaN  0.009559  0.077490  0.071547   NaN  0.005595  0.006363   NaN  0.000646  0.009193  0.008568  0.003895  0.005153  NaN  0.004876  0.005665  0.001888  0.004961  0.000034  0.004652  0.508998  0.006969  1.004728  0.060634  0.009982  0.008817   \n4  0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...  2017-07-16  0.947248  0.002483  0.015193  1.000727  0.007605  0.117325  0.004653  0.009312   NaN   NaN  0.007731  0.038862  0.720619  0.143630  0.006667  0.231009  0.529305       NaN   NaN  0.075900  0.048918  0.001199  0.154026  1.341735  0.000519  0.001362  0.205468  0.691986  0.121518   NaN  0.054221  0.009484  0.006698  1.003738  0.003846  0.094311  0.129539  0.917133  0.231110  0.154914  0.095178  0.001653  0.126443  0.039259  0.027897  0.063697  0.233103  0.175655  0.031171  0.487460  0.093915   CR    O  0.009479  0.001714   NaN  0.650112  0.007773   NaN  0.005851   6.0  0.216507  0.008605  0.507712  0.006821  0.000152  0.000104  0.001419  0.096441  0.007972  0.106020  0.032733   NaN  0.008156  0.076561  0.074432   NaN  0.004933  0.004831   NaN  0.001833  0.005738  0.003289  0.002608  0.007338  NaN  0.007447  0.004465  0.006111  0.002246  0.002109  0.001141  0.506213  0.001770  1.000904  0.062492  0.005860  0.001845   \n\n       R_14      R_15      D_84      R_16  B_29  B_30      S_18      D_86  D_87      R_17      R_18  D_88  B_31      S_19      R_19      B_32      S_20      R_20      R_21      B_33      D_89      R_22      R_23      D_91      D_92      D_93      D_94      R_24      R_25      D_96      S_22      S_23      S_24      S_25      S_26     D_102     D_103     D_104     D_105  D_106     D_107      B_36      B_37  R_26      R_27  B_38  D_108     D_109  D_110  D_111  B_39     D_112      B_40      S_27     D_113  D_114     D_115  D_116  D_117     D_118     D_119  D_120     D_121     D_122     D_123     D_124     D_125  D_126     D_127     D_128     D_129      B_41  B_42     D_130     D_131  D_132     D_133      R_28  D_134  D_135  D_136  D_137  D_138     D_139     D_140     D_141  D_142     D_143     D_144     D_145  target  \n0  0.000438  0.006452  0.000830  0.005055   NaN   0.0  0.005720  0.007084   NaN  0.000198  0.008907   NaN     1  0.002537  0.005177  0.006626  0.009705  0.007782  0.002450  1.001101  0.002665  0.007479  0.006893  1.503673  1.006133  0.003569  0.008871  0.003950  0.003647  0.004950  0.894090  0.135561  0.911191  0.974539  0.001243  0.766688  1.008691  1.004587  0.893734    NaN  0.670041  0.009968  0.004572   NaN  1.008949   2.0    NaN  0.004326    NaN    NaN   NaN  1.007336  0.210060  0.676922  0.007871    1.0  0.238250    0.0    4.0  0.232120  0.236266    0.0  0.702280  0.434345  0.003057  0.686516  0.008740    1.0  1.003319  1.007819  1.000080  0.006805   NaN  0.002052  0.005972    NaN  0.004345  0.001535    NaN    NaN    NaN    NaN    NaN  0.002427  0.003706  0.003818    NaN  0.000569  0.000610  0.002674       0  \n1  0.004311  0.002332  0.009469  0.003753   NaN   0.0  0.007584  0.006677   NaN  0.001142  0.005907   NaN     1  0.008427  0.008979  0.001854  0.009924  0.005987  0.002247  1.006779  0.002508  0.006827  0.002837  1.503577  1.005791  0.000571  0.000391  0.008351  0.008850  0.003180  0.902135  0.136333  0.919876  0.975625  0.004561  0.786007  1.000084  1.004118  0.906841    NaN  0.668647  0.003921  0.004654   NaN  1.003205   2.0    NaN  0.008707    NaN    NaN   NaN  1.007653  0.184093  0.822281  0.003444    1.0  0.247217    0.0    4.0  0.243532  0.241885    0.0  0.707017  0.430501  0.001306  0.686414  0.000755    1.0  1.008394  1.004333  1.008344  0.004407   NaN  0.001034  0.004838    NaN  0.007495  0.004931    NaN    NaN    NaN    NaN    NaN  0.003954  0.003167  0.005032    NaN  0.009576  0.005492  0.009217       0  \n2  0.007139  0.008358  0.002325  0.007381   NaN   0.0  0.005901  0.001185   NaN  0.008013  0.008882   NaN     1  0.007327  0.002016  0.008686  0.008446  0.007291  0.007794  1.001014  0.009634  0.009820  0.005080  1.503359  1.005801  0.007425  0.009234  0.002471  0.009769  0.005433  0.939654  0.134938  0.958699  0.974067  0.011736  0.806840  1.003014  1.009285  0.928719    NaN  0.670901  0.001264  0.019176   NaN  1.000754   2.0    NaN  0.004092    NaN    NaN   NaN  1.004312  0.154837  0.853498  0.003269    1.0  0.239867    0.0    4.0  0.240768  0.239710    0.0  0.704843  0.434409  0.003954  0.690101  0.009617    1.0  1.009307  1.007831  1.006878  0.003221   NaN  0.005681  0.005497    NaN  0.009227  0.009123    NaN    NaN    NaN    NaN    NaN  0.003269  0.007329  0.000427    NaN  0.003429  0.006986  0.002603       0  \n3  0.008690  0.007364  0.005924  0.008802   NaN   0.0  0.002520  0.003324   NaN  0.009455  0.008348   NaN     1  0.007053  0.003909  0.002478  0.006614  0.009977  0.007686  1.002775  0.007791  0.000458  0.007320  1.503701  1.007036  0.000664  0.003200  0.008507  0.004858  0.000063  0.913205  0.140058  0.926341  0.975499  0.007571  0.808214  1.001517  1.004514  0.935383    NaN  0.672620  0.002729  0.011720   NaN  1.005338   2.0    NaN  0.009703    NaN    NaN   NaN  1.002538  0.153939  0.844667  0.000053    1.0  0.240910    0.0    4.0  0.239400  0.240727    0.0  0.711546  0.436903  0.005135  0.687779  0.004649    1.0  1.001671  1.003460  1.007573  0.007703   NaN  0.007108  0.008261    NaN  0.007206  0.002409    NaN    NaN    NaN    NaN    NaN  0.006117  0.004516  0.003200    NaN  0.008419  0.006527  0.009600       0  \n4  0.007816  0.002470  0.005516  0.007166   NaN   0.0  0.000155  0.001504   NaN  0.002019  0.002678   NaN     1  0.007728  0.003432  0.002199  0.005511  0.004105  0.009656  1.006536  0.005158  0.003341  0.000264  1.509905  1.002915  0.003079  0.003845  0.007190  0.002983  0.000535  0.921026  0.131620  0.933479  0.978027  0.018200  0.822281  1.006125  1.005735  0.953363    NaN  0.673869  0.009998  0.017598   NaN  1.003175   2.0    NaN  0.009120    NaN    NaN   NaN  1.000130  0.120717  0.811199  0.008724    1.0  0.247939    0.0    4.0  0.244199  0.242325    0.0  0.705343  0.437433  0.002849  0.688774  0.000097    1.0  1.009886  1.005053  1.008132  0.009823   NaN  0.009680  0.004848    NaN  0.006312  0.004462    NaN    NaN    NaN    NaN    NaN  0.003671  0.004946  0.008889    NaN  0.001670  0.008126  0.009827       0  ","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>customer_ID</th>\n      <th>S_2</th>\n      <th>P_2</th>\n      <th>D_39</th>\n      <th>B_1</th>\n      <th>B_2</th>\n      <th>R_1</th>\n      <th>S_3</th>\n      <th>D_41</th>\n      <th>B_3</th>\n      <th>D_42</th>\n      <th>D_43</th>\n      <th>D_44</th>\n      <th>B_4</th>\n      <th>D_45</th>\n      <th>B_5</th>\n      <th>R_2</th>\n      <th>D_46</th>\n      <th>D_47</th>\n      <th>D_48</th>\n      <th>D_49</th>\n      <th>B_6</th>\n      <th>B_7</th>\n      <th>B_8</th>\n      <th>D_50</th>\n      <th>D_51</th>\n      <th>B_9</th>\n      <th>R_3</th>\n      <th>D_52</th>\n      <th>P_3</th>\n      <th>B_10</th>\n      <th>D_53</th>\n      <th>S_5</th>\n      <th>B_11</th>\n      <th>S_6</th>\n      <th>D_54</th>\n      <th>R_4</th>\n      <th>S_7</th>\n      <th>B_12</th>\n      <th>S_8</th>\n      <th>D_55</th>\n      <th>D_56</th>\n      <th>B_13</th>\n      <th>R_5</th>\n      <th>D_58</th>\n      <th>S_9</th>\n      <th>B_14</th>\n      <th>D_59</th>\n      <th>D_60</th>\n      <th>D_61</th>\n      <th>B_15</th>\n      <th>S_11</th>\n      <th>D_62</th>\n      <th>D_63</th>\n      <th>D_64</th>\n      <th>D_65</th>\n      <th>B_16</th>\n      <th>B_17</th>\n      <th>B_18</th>\n      <th>B_19</th>\n      <th>D_66</th>\n      <th>B_20</th>\n      <th>D_68</th>\n      <th>S_12</th>\n      <th>R_6</th>\n      <th>S_13</th>\n      <th>B_21</th>\n      <th>D_69</th>\n      <th>B_22</th>\n      <th>D_70</th>\n      <th>D_71</th>\n      <th>D_72</th>\n      <th>S_15</th>\n      <th>B_23</th>\n      <th>D_73</th>\n      <th>P_4</th>\n      <th>D_74</th>\n      <th>D_75</th>\n      <th>D_76</th>\n      <th>B_24</th>\n      <th>R_7</th>\n      <th>D_77</th>\n      <th>B_25</th>\n      <th>B_26</th>\n      <th>D_78</th>\n      <th>D_79</th>\n      <th>R_8</th>\n      <th>R_9</th>\n      <th>S_16</th>\n      <th>D_80</th>\n      <th>R_10</th>\n      <th>R_11</th>\n      <th>B_27</th>\n      <th>D_81</th>\n      <th>D_82</th>\n      <th>S_17</th>\n      <th>R_12</th>\n      <th>B_28</th>\n      <th>R_13</th>\n      <th>D_83</th>\n      <th>R_14</th>\n      <th>R_15</th>\n      <th>D_84</th>\n      <th>R_16</th>\n      <th>B_29</th>\n      <th>B_30</th>\n      <th>S_18</th>\n      <th>D_86</th>\n      <th>D_87</th>\n      <th>R_17</th>\n      <th>R_18</th>\n      <th>D_88</th>\n      <th>B_31</th>\n      <th>S_19</th>\n      <th>R_19</th>\n      <th>B_32</th>\n      <th>S_20</th>\n      <th>R_20</th>\n      <th>R_21</th>\n      <th>B_33</th>\n      <th>D_89</th>\n      <th>R_22</th>\n      <th>R_23</th>\n      <th>D_91</th>\n      <th>D_92</th>\n      <th>D_93</th>\n      <th>D_94</th>\n      <th>R_24</th>\n      <th>R_25</th>\n      <th>D_96</th>\n      <th>S_22</th>\n      <th>S_23</th>\n      <th>S_24</th>\n      <th>S_25</th>\n      <th>S_26</th>\n      <th>D_102</th>\n      <th>D_103</th>\n      <th>D_104</th>\n      <th>D_105</th>\n      <th>D_106</th>\n      <th>D_107</th>\n      <th>B_36</th>\n      <th>B_37</th>\n      <th>R_26</th>\n      <th>R_27</th>\n      <th>B_38</th>\n      <th>D_108</th>\n      <th>D_109</th>\n      <th>D_110</th>\n      <th>D_111</th>\n      <th>B_39</th>\n      <th>D_112</th>\n      <th>B_40</th>\n      <th>S_27</th>\n      <th>D_113</th>\n      <th>D_114</th>\n      <th>D_115</th>\n      <th>D_116</th>\n      <th>D_117</th>\n      <th>D_118</th>\n      <th>D_119</th>\n      <th>D_120</th>\n      <th>D_121</th>\n      <th>D_122</th>\n      <th>D_123</th>\n      <th>D_124</th>\n      <th>D_125</th>\n      <th>D_126</th>\n      <th>D_127</th>\n      <th>D_128</th>\n      <th>D_129</th>\n      <th>B_41</th>\n      <th>B_42</th>\n      <th>D_130</th>\n      <th>D_131</th>\n      <th>D_132</th>\n      <th>D_133</th>\n      <th>R_28</th>\n      <th>D_134</th>\n      <th>D_135</th>\n      <th>D_136</th>\n      <th>D_137</th>\n      <th>D_138</th>\n      <th>D_139</th>\n      <th>D_140</th>\n      <th>D_141</th>\n      <th>D_142</th>\n      <th>D_143</th>\n      <th>D_144</th>\n      <th>D_145</th>\n      <th>target</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...</td>\n      <td>2017-03-09</td>\n      <td>0.938469</td>\n      <td>0.001733</td>\n      <td>0.008724</td>\n      <td>1.006838</td>\n      <td>0.009228</td>\n      <td>0.124035</td>\n      <td>0.008771</td>\n      <td>0.004709</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000630</td>\n      <td>0.080986</td>\n      <td>0.708906</td>\n      <td>0.170600</td>\n      <td>0.006204</td>\n      <td>0.358587</td>\n      <td>0.525351</td>\n      <td>0.255736</td>\n      <td>NaN</td>\n      <td>0.063902</td>\n      <td>0.059416</td>\n      <td>0.006466</td>\n      <td>0.148698</td>\n      <td>1.335856</td>\n      <td>0.008207</td>\n      <td>0.001423</td>\n      <td>0.207334</td>\n      <td>0.736463</td>\n      <td>0.096219</td>\n      <td>NaN</td>\n      <td>0.023381</td>\n      <td>0.002768</td>\n      <td>0.008322</td>\n      <td>1.001519</td>\n      <td>0.008298</td>\n      <td>0.161345</td>\n      <td>0.148266</td>\n      <td>0.922998</td>\n      <td>0.354596</td>\n      <td>0.152025</td>\n      <td>0.118075</td>\n      <td>0.001882</td>\n      <td>0.158612</td>\n      <td>0.065728</td>\n      <td>0.018385</td>\n      <td>0.063646</td>\n      <td>0.199617</td>\n      <td>0.308233</td>\n      <td>0.016361</td>\n      <td>0.401619</td>\n      <td>0.091071</td>\n      <td>CR</td>\n      <td>O</td>\n      <td>0.007126</td>\n      <td>0.007665</td>\n      <td>NaN</td>\n      <td>0.652984</td>\n      <td>0.008520</td>\n      <td>NaN</td>\n      <td>0.004730</td>\n      <td>6.0</td>\n      <td>0.272008</td>\n      <td>0.008363</td>\n      <td>0.515222</td>\n      <td>0.002644</td>\n      <td>0.009013</td>\n      <td>0.004808</td>\n      <td>0.008342</td>\n      <td>0.119403</td>\n      <td>0.004802</td>\n      <td>0.108271</td>\n      <td>0.050882</td>\n      <td>NaN</td>\n      <td>0.007554</td>\n      <td>0.080422</td>\n      <td>0.069067</td>\n      <td>NaN</td>\n      <td>0.004327</td>\n      <td>0.007562</td>\n      <td>NaN</td>\n      <td>0.007729</td>\n      <td>0.000272</td>\n      <td>0.001576</td>\n      <td>0.004239</td>\n      <td>0.001434</td>\n      <td>NaN</td>\n      <td>0.002271</td>\n      <td>0.004061</td>\n      <td>0.007121</td>\n      <td>0.002456</td>\n      <td>0.002310</td>\n      <td>0.003532</td>\n      <td>0.506612</td>\n      <td>0.008033</td>\n      <td>1.009825</td>\n      <td>0.084683</td>\n      <td>0.003820</td>\n      <td>0.007043</td>\n      <td>0.000438</td>\n      <td>0.006452</td>\n      <td>0.000830</td>\n      <td>0.005055</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.005720</td>\n      <td>0.007084</td>\n      <td>NaN</td>\n      <td>0.000198</td>\n      <td>0.008907</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.002537</td>\n      <td>0.005177</td>\n      <td>0.006626</td>\n      <td>0.009705</td>\n      <td>0.007782</td>\n      <td>0.002450</td>\n      <td>1.001101</td>\n      <td>0.002665</td>\n      <td>0.007479</td>\n      <td>0.006893</td>\n      <td>1.503673</td>\n      <td>1.006133</td>\n      <td>0.003569</td>\n      <td>0.008871</td>\n      <td>0.003950</td>\n      <td>0.003647</td>\n      <td>0.004950</td>\n      <td>0.894090</td>\n      <td>0.135561</td>\n      <td>0.911191</td>\n      <td>0.974539</td>\n      <td>0.001243</td>\n      <td>0.766688</td>\n      <td>1.008691</td>\n      <td>1.004587</td>\n      <td>0.893734</td>\n      <td>NaN</td>\n      <td>0.670041</td>\n      <td>0.009968</td>\n      <td>0.004572</td>\n      <td>NaN</td>\n      <td>1.008949</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.004326</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.007336</td>\n      <td>0.210060</td>\n      <td>0.676922</td>\n      <td>0.007871</td>\n      <td>1.0</td>\n      <td>0.238250</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.232120</td>\n      <td>0.236266</td>\n      <td>0.0</td>\n      <td>0.702280</td>\n      <td>0.434345</td>\n      <td>0.003057</td>\n      <td>0.686516</td>\n      <td>0.008740</td>\n      <td>1.0</td>\n      <td>1.003319</td>\n      <td>1.007819</td>\n      <td>1.000080</td>\n      <td>0.006805</td>\n      <td>NaN</td>\n      <td>0.002052</td>\n      <td>0.005972</td>\n      <td>NaN</td>\n      <td>0.004345</td>\n      <td>0.001535</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002427</td>\n      <td>0.003706</td>\n      <td>0.003818</td>\n      <td>NaN</td>\n      <td>0.000569</td>\n      <td>0.000610</td>\n      <td>0.002674</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...</td>\n      <td>2017-04-07</td>\n      <td>0.936665</td>\n      <td>0.005775</td>\n      <td>0.004923</td>\n      <td>1.000653</td>\n      <td>0.006151</td>\n      <td>0.126750</td>\n      <td>0.000798</td>\n      <td>0.002714</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002526</td>\n      <td>0.069419</td>\n      <td>0.712795</td>\n      <td>0.113239</td>\n      <td>0.006206</td>\n      <td>0.353630</td>\n      <td>0.521311</td>\n      <td>0.223329</td>\n      <td>NaN</td>\n      <td>0.065261</td>\n      <td>0.057744</td>\n      <td>0.001614</td>\n      <td>0.149723</td>\n      <td>1.339794</td>\n      <td>0.008373</td>\n      <td>0.001984</td>\n      <td>0.202778</td>\n      <td>0.720886</td>\n      <td>0.099804</td>\n      <td>NaN</td>\n      <td>0.030599</td>\n      <td>0.002749</td>\n      <td>0.002482</td>\n      <td>1.009033</td>\n      <td>0.005136</td>\n      <td>0.140951</td>\n      <td>0.143530</td>\n      <td>0.919414</td>\n      <td>0.326757</td>\n      <td>0.156201</td>\n      <td>0.118737</td>\n      <td>0.001610</td>\n      <td>0.148459</td>\n      <td>0.093935</td>\n      <td>0.013035</td>\n      <td>0.065501</td>\n      <td>0.151387</td>\n      <td>0.265026</td>\n      <td>0.017688</td>\n      <td>0.406326</td>\n      <td>0.086805</td>\n      <td>CR</td>\n      <td>O</td>\n      <td>0.002413</td>\n      <td>0.007148</td>\n      <td>NaN</td>\n      <td>0.647093</td>\n      <td>0.002238</td>\n      <td>NaN</td>\n      <td>0.003879</td>\n      <td>6.0</td>\n      <td>0.188970</td>\n      <td>0.004030</td>\n      <td>0.509048</td>\n      <td>0.004193</td>\n      <td>0.007842</td>\n      <td>0.001283</td>\n      <td>0.006524</td>\n      <td>0.140611</td>\n      <td>0.000094</td>\n      <td>0.101018</td>\n      <td>0.040469</td>\n      <td>NaN</td>\n      <td>0.004832</td>\n      <td>0.081413</td>\n      <td>0.074166</td>\n      <td>NaN</td>\n      <td>0.004203</td>\n      <td>0.005304</td>\n      <td>NaN</td>\n      <td>0.001864</td>\n      <td>0.000979</td>\n      <td>0.009896</td>\n      <td>0.007597</td>\n      <td>0.000509</td>\n      <td>NaN</td>\n      <td>0.009810</td>\n      <td>0.000127</td>\n      <td>0.005966</td>\n      <td>0.000395</td>\n      <td>0.001327</td>\n      <td>0.007773</td>\n      <td>0.500855</td>\n      <td>0.000760</td>\n      <td>1.009461</td>\n      <td>0.081843</td>\n      <td>0.000347</td>\n      <td>0.007789</td>\n      <td>0.004311</td>\n      <td>0.002332</td>\n      <td>0.009469</td>\n      <td>0.003753</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.007584</td>\n      <td>0.006677</td>\n      <td>NaN</td>\n      <td>0.001142</td>\n      <td>0.005907</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.008427</td>\n      <td>0.008979</td>\n      <td>0.001854</td>\n      <td>0.009924</td>\n      <td>0.005987</td>\n      <td>0.002247</td>\n      <td>1.006779</td>\n      <td>0.002508</td>\n      <td>0.006827</td>\n      <td>0.002837</td>\n      <td>1.503577</td>\n      <td>1.005791</td>\n      <td>0.000571</td>\n      <td>0.000391</td>\n      <td>0.008351</td>\n      <td>0.008850</td>\n      <td>0.003180</td>\n      <td>0.902135</td>\n      <td>0.136333</td>\n      <td>0.919876</td>\n      <td>0.975625</td>\n      <td>0.004561</td>\n      <td>0.786007</td>\n      <td>1.000084</td>\n      <td>1.004118</td>\n      <td>0.906841</td>\n      <td>NaN</td>\n      <td>0.668647</td>\n      <td>0.003921</td>\n      <td>0.004654</td>\n      <td>NaN</td>\n      <td>1.003205</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.008707</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.007653</td>\n      <td>0.184093</td>\n      <td>0.822281</td>\n      <td>0.003444</td>\n      <td>1.0</td>\n      <td>0.247217</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.243532</td>\n      <td>0.241885</td>\n      <td>0.0</td>\n      <td>0.707017</td>\n      <td>0.430501</td>\n      <td>0.001306</td>\n      <td>0.686414</td>\n      <td>0.000755</td>\n      <td>1.0</td>\n      <td>1.008394</td>\n      <td>1.004333</td>\n      <td>1.008344</td>\n      <td>0.004407</td>\n      <td>NaN</td>\n      <td>0.001034</td>\n      <td>0.004838</td>\n      <td>NaN</td>\n      <td>0.007495</td>\n      <td>0.004931</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003954</td>\n      <td>0.003167</td>\n      <td>0.005032</td>\n      <td>NaN</td>\n      <td>0.009576</td>\n      <td>0.005492</td>\n      <td>0.009217</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...</td>\n      <td>2017-05-28</td>\n      <td>0.954180</td>\n      <td>0.091505</td>\n      <td>0.021655</td>\n      <td>1.009672</td>\n      <td>0.006815</td>\n      <td>0.123977</td>\n      <td>0.007598</td>\n      <td>0.009423</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.007605</td>\n      <td>0.068839</td>\n      <td>0.720884</td>\n      <td>0.060492</td>\n      <td>0.003259</td>\n      <td>0.334650</td>\n      <td>0.524568</td>\n      <td>0.189424</td>\n      <td>NaN</td>\n      <td>0.066982</td>\n      <td>0.056647</td>\n      <td>0.005126</td>\n      <td>0.151955</td>\n      <td>1.337179</td>\n      <td>0.009355</td>\n      <td>0.007426</td>\n      <td>0.206629</td>\n      <td>0.738044</td>\n      <td>0.134073</td>\n      <td>NaN</td>\n      <td>0.048367</td>\n      <td>0.010077</td>\n      <td>0.000530</td>\n      <td>1.009184</td>\n      <td>0.006961</td>\n      <td>0.112229</td>\n      <td>0.137014</td>\n      <td>1.001977</td>\n      <td>0.304124</td>\n      <td>0.153795</td>\n      <td>0.114534</td>\n      <td>0.006328</td>\n      <td>0.139504</td>\n      <td>0.084757</td>\n      <td>0.056653</td>\n      <td>0.070607</td>\n      <td>0.305883</td>\n      <td>0.212165</td>\n      <td>0.063955</td>\n      <td>0.406768</td>\n      <td>0.094001</td>\n      <td>CR</td>\n      <td>O</td>\n      <td>0.001878</td>\n      <td>0.003636</td>\n      <td>NaN</td>\n      <td>0.645819</td>\n      <td>0.000408</td>\n      <td>NaN</td>\n      <td>0.004578</td>\n      <td>6.0</td>\n      <td>0.495308</td>\n      <td>0.006838</td>\n      <td>0.679257</td>\n      <td>0.001337</td>\n      <td>0.006025</td>\n      <td>0.009393</td>\n      <td>0.002615</td>\n      <td>0.075868</td>\n      <td>0.007152</td>\n      <td>0.103239</td>\n      <td>0.047454</td>\n      <td>NaN</td>\n      <td>0.006561</td>\n      <td>0.078891</td>\n      <td>0.076510</td>\n      <td>NaN</td>\n      <td>0.001782</td>\n      <td>0.001422</td>\n      <td>NaN</td>\n      <td>0.005419</td>\n      <td>0.006149</td>\n      <td>0.009629</td>\n      <td>0.003094</td>\n      <td>0.008295</td>\n      <td>NaN</td>\n      <td>0.009362</td>\n      <td>0.000954</td>\n      <td>0.005447</td>\n      <td>0.007345</td>\n      <td>0.007624</td>\n      <td>0.008811</td>\n      <td>0.504606</td>\n      <td>0.004056</td>\n      <td>1.004291</td>\n      <td>0.081954</td>\n      <td>0.002709</td>\n      <td>0.004093</td>\n      <td>0.007139</td>\n      <td>0.008358</td>\n      <td>0.002325</td>\n      <td>0.007381</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.005901</td>\n      <td>0.001185</td>\n      <td>NaN</td>\n      <td>0.008013</td>\n      <td>0.008882</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.007327</td>\n      <td>0.002016</td>\n      <td>0.008686</td>\n      <td>0.008446</td>\n      <td>0.007291</td>\n      <td>0.007794</td>\n      <td>1.001014</td>\n      <td>0.009634</td>\n      <td>0.009820</td>\n      <td>0.005080</td>\n      <td>1.503359</td>\n      <td>1.005801</td>\n      <td>0.007425</td>\n      <td>0.009234</td>\n      <td>0.002471</td>\n      <td>0.009769</td>\n      <td>0.005433</td>\n      <td>0.939654</td>\n      <td>0.134938</td>\n      <td>0.958699</td>\n      <td>0.974067</td>\n      <td>0.011736</td>\n      <td>0.806840</td>\n      <td>1.003014</td>\n      <td>1.009285</td>\n      <td>0.928719</td>\n      <td>NaN</td>\n      <td>0.670901</td>\n      <td>0.001264</td>\n      <td>0.019176</td>\n      <td>NaN</td>\n      <td>1.000754</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.004092</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.004312</td>\n      <td>0.154837</td>\n      <td>0.853498</td>\n      <td>0.003269</td>\n      <td>1.0</td>\n      <td>0.239867</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.240768</td>\n      <td>0.239710</td>\n      <td>0.0</td>\n      <td>0.704843</td>\n      <td>0.434409</td>\n      <td>0.003954</td>\n      <td>0.690101</td>\n      <td>0.009617</td>\n      <td>1.0</td>\n      <td>1.009307</td>\n      <td>1.007831</td>\n      <td>1.006878</td>\n      <td>0.003221</td>\n      <td>NaN</td>\n      <td>0.005681</td>\n      <td>0.005497</td>\n      <td>NaN</td>\n      <td>0.009227</td>\n      <td>0.009123</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003269</td>\n      <td>0.007329</td>\n      <td>0.000427</td>\n      <td>NaN</td>\n      <td>0.003429</td>\n      <td>0.006986</td>\n      <td>0.002603</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...</td>\n      <td>2017-06-13</td>\n      <td>0.960384</td>\n      <td>0.002455</td>\n      <td>0.013683</td>\n      <td>1.002700</td>\n      <td>0.001373</td>\n      <td>0.117169</td>\n      <td>0.000685</td>\n      <td>0.005531</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.006406</td>\n      <td>0.055630</td>\n      <td>0.723997</td>\n      <td>0.166782</td>\n      <td>0.009918</td>\n      <td>0.323271</td>\n      <td>0.530929</td>\n      <td>0.135586</td>\n      <td>NaN</td>\n      <td>0.083720</td>\n      <td>0.049253</td>\n      <td>0.001418</td>\n      <td>0.151219</td>\n      <td>1.339909</td>\n      <td>0.006782</td>\n      <td>0.003515</td>\n      <td>0.208214</td>\n      <td>0.741813</td>\n      <td>0.134437</td>\n      <td>NaN</td>\n      <td>0.030063</td>\n      <td>0.009667</td>\n      <td>0.000783</td>\n      <td>1.007455</td>\n      <td>0.008706</td>\n      <td>0.102838</td>\n      <td>0.129017</td>\n      <td>0.704016</td>\n      <td>0.275055</td>\n      <td>0.155772</td>\n      <td>0.120740</td>\n      <td>0.004980</td>\n      <td>0.138100</td>\n      <td>0.048382</td>\n      <td>0.012498</td>\n      <td>0.065926</td>\n      <td>0.273553</td>\n      <td>0.204300</td>\n      <td>0.022732</td>\n      <td>0.405175</td>\n      <td>0.094854</td>\n      <td>CR</td>\n      <td>O</td>\n      <td>0.005899</td>\n      <td>0.005896</td>\n      <td>NaN</td>\n      <td>0.654358</td>\n      <td>0.005897</td>\n      <td>NaN</td>\n      <td>0.005207</td>\n      <td>6.0</td>\n      <td>0.508670</td>\n      <td>0.008183</td>\n      <td>0.515282</td>\n      <td>0.008716</td>\n      <td>0.005271</td>\n      <td>0.004554</td>\n      <td>0.002052</td>\n      <td>0.150209</td>\n      <td>0.005364</td>\n      <td>0.206394</td>\n      <td>0.031705</td>\n      <td>NaN</td>\n      <td>0.009559</td>\n      <td>0.077490</td>\n      <td>0.071547</td>\n      <td>NaN</td>\n      <td>0.005595</td>\n      <td>0.006363</td>\n      <td>NaN</td>\n      <td>0.000646</td>\n      <td>0.009193</td>\n      <td>0.008568</td>\n      <td>0.003895</td>\n      <td>0.005153</td>\n      <td>NaN</td>\n      <td>0.004876</td>\n      <td>0.005665</td>\n      <td>0.001888</td>\n      <td>0.004961</td>\n      <td>0.000034</td>\n      <td>0.004652</td>\n      <td>0.508998</td>\n      <td>0.006969</td>\n      <td>1.004728</td>\n      <td>0.060634</td>\n      <td>0.009982</td>\n      <td>0.008817</td>\n      <td>0.008690</td>\n      <td>0.007364</td>\n      <td>0.005924</td>\n      <td>0.008802</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.002520</td>\n      <td>0.003324</td>\n      <td>NaN</td>\n      <td>0.009455</td>\n      <td>0.008348</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.007053</td>\n      <td>0.003909</td>\n      <td>0.002478</td>\n      <td>0.006614</td>\n      <td>0.009977</td>\n      <td>0.007686</td>\n      <td>1.002775</td>\n      <td>0.007791</td>\n      <td>0.000458</td>\n      <td>0.007320</td>\n      <td>1.503701</td>\n      <td>1.007036</td>\n      <td>0.000664</td>\n      <td>0.003200</td>\n      <td>0.008507</td>\n      <td>0.004858</td>\n      <td>0.000063</td>\n      <td>0.913205</td>\n      <td>0.140058</td>\n      <td>0.926341</td>\n      <td>0.975499</td>\n      <td>0.007571</td>\n      <td>0.808214</td>\n      <td>1.001517</td>\n      <td>1.004514</td>\n      <td>0.935383</td>\n      <td>NaN</td>\n      <td>0.672620</td>\n      <td>0.002729</td>\n      <td>0.011720</td>\n      <td>NaN</td>\n      <td>1.005338</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.009703</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.002538</td>\n      <td>0.153939</td>\n      <td>0.844667</td>\n      <td>0.000053</td>\n      <td>1.0</td>\n      <td>0.240910</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.239400</td>\n      <td>0.240727</td>\n      <td>0.0</td>\n      <td>0.711546</td>\n      <td>0.436903</td>\n      <td>0.005135</td>\n      <td>0.687779</td>\n      <td>0.004649</td>\n      <td>1.0</td>\n      <td>1.001671</td>\n      <td>1.003460</td>\n      <td>1.007573</td>\n      <td>0.007703</td>\n      <td>NaN</td>\n      <td>0.007108</td>\n      <td>0.008261</td>\n      <td>NaN</td>\n      <td>0.007206</td>\n      <td>0.002409</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.006117</td>\n      <td>0.004516</td>\n      <td>0.003200</td>\n      <td>NaN</td>\n      <td>0.008419</td>\n      <td>0.006527</td>\n      <td>0.009600</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...</td>\n      <td>2017-07-16</td>\n      <td>0.947248</td>\n      <td>0.002483</td>\n      <td>0.015193</td>\n      <td>1.000727</td>\n      <td>0.007605</td>\n      <td>0.117325</td>\n      <td>0.004653</td>\n      <td>0.009312</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.007731</td>\n      <td>0.038862</td>\n      <td>0.720619</td>\n      <td>0.143630</td>\n      <td>0.006667</td>\n      <td>0.231009</td>\n      <td>0.529305</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.075900</td>\n      <td>0.048918</td>\n      <td>0.001199</td>\n      <td>0.154026</td>\n      <td>1.341735</td>\n      <td>0.000519</td>\n      <td>0.001362</td>\n      <td>0.205468</td>\n      <td>0.691986</td>\n      <td>0.121518</td>\n      <td>NaN</td>\n      <td>0.054221</td>\n      <td>0.009484</td>\n      <td>0.006698</td>\n      <td>1.003738</td>\n      <td>0.003846</td>\n      <td>0.094311</td>\n      <td>0.129539</td>\n      <td>0.917133</td>\n      <td>0.231110</td>\n      <td>0.154914</td>\n      <td>0.095178</td>\n      <td>0.001653</td>\n      <td>0.126443</td>\n      <td>0.039259</td>\n      <td>0.027897</td>\n      <td>0.063697</td>\n      <td>0.233103</td>\n      <td>0.175655</td>\n      <td>0.031171</td>\n      <td>0.487460</td>\n      <td>0.093915</td>\n      <td>CR</td>\n      <td>O</td>\n      <td>0.009479</td>\n      <td>0.001714</td>\n      <td>NaN</td>\n      <td>0.650112</td>\n      <td>0.007773</td>\n      <td>NaN</td>\n      <td>0.005851</td>\n      <td>6.0</td>\n      <td>0.216507</td>\n      <td>0.008605</td>\n      <td>0.507712</td>\n      <td>0.006821</td>\n      <td>0.000152</td>\n      <td>0.000104</td>\n      <td>0.001419</td>\n      <td>0.096441</td>\n      <td>0.007972</td>\n      <td>0.106020</td>\n      <td>0.032733</td>\n      <td>NaN</td>\n      <td>0.008156</td>\n      <td>0.076561</td>\n      <td>0.074432</td>\n      <td>NaN</td>\n      <td>0.004933</td>\n      <td>0.004831</td>\n      <td>NaN</td>\n      <td>0.001833</td>\n      <td>0.005738</td>\n      <td>0.003289</td>\n      <td>0.002608</td>\n      <td>0.007338</td>\n      <td>NaN</td>\n      <td>0.007447</td>\n      <td>0.004465</td>\n      <td>0.006111</td>\n      <td>0.002246</td>\n      <td>0.002109</td>\n      <td>0.001141</td>\n      <td>0.506213</td>\n      <td>0.001770</td>\n      <td>1.000904</td>\n      <td>0.062492</td>\n      <td>0.005860</td>\n      <td>0.001845</td>\n      <td>0.007816</td>\n      <td>0.002470</td>\n      <td>0.005516</td>\n      <td>0.007166</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.000155</td>\n      <td>0.001504</td>\n      <td>NaN</td>\n      <td>0.002019</td>\n      <td>0.002678</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.007728</td>\n      <td>0.003432</td>\n      <td>0.002199</td>\n      <td>0.005511</td>\n      <td>0.004105</td>\n      <td>0.009656</td>\n      <td>1.006536</td>\n      <td>0.005158</td>\n      <td>0.003341</td>\n      <td>0.000264</td>\n      <td>1.509905</td>\n      <td>1.002915</td>\n      <td>0.003079</td>\n      <td>0.003845</td>\n      <td>0.007190</td>\n      <td>0.002983</td>\n      <td>0.000535</td>\n      <td>0.921026</td>\n      <td>0.131620</td>\n      <td>0.933479</td>\n      <td>0.978027</td>\n      <td>0.018200</td>\n      <td>0.822281</td>\n      <td>1.006125</td>\n      <td>1.005735</td>\n      <td>0.953363</td>\n      <td>NaN</td>\n      <td>0.673869</td>\n      <td>0.009998</td>\n      <td>0.017598</td>\n      <td>NaN</td>\n      <td>1.003175</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.009120</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.000130</td>\n      <td>0.120717</td>\n      <td>0.811199</td>\n      <td>0.008724</td>\n      <td>1.0</td>\n      <td>0.247939</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.244199</td>\n      <td>0.242325</td>\n      <td>0.0</td>\n      <td>0.705343</td>\n      <td>0.437433</td>\n      <td>0.002849</td>\n      <td>0.688774</td>\n      <td>0.000097</td>\n      <td>1.0</td>\n      <td>1.009886</td>\n      <td>1.005053</td>\n      <td>1.008132</td>\n      <td>0.009823</td>\n      <td>NaN</td>\n      <td>0.009680</td>\n      <td>0.004848</td>\n      <td>NaN</td>\n      <td>0.006312</td>\n      <td>0.004462</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003671</td>\n      <td>0.004946</td>\n      <td>0.008889</td>\n      <td>NaN</td>\n      <td>0.001670</td>\n      <td>0.008126</td>\n      <td>0.009827</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"teste= pd.read_parquet('/kaggle/input/amex-parquet/test_data.parquet')\nteste.head()","metadata":{"execution":{"iopub.status.busy":"2024-08-18T22:58:22.434571Z","iopub.execute_input":"2024-08-18T22:58:22.435008Z","iopub.status.idle":"2024-08-18T22:59:26.999655Z","shell.execute_reply.started":"2024-08-18T22:58:22.434969Z","shell.execute_reply":"2024-08-18T22:59:26.998376Z"},"trusted":true},"execution_count":5,"outputs":[{"execution_count":5,"output_type":"execute_result","data":{"text/plain":"                                         customer_ID         S_2       P_2      D_39       B_1       B_2       R_1       S_3      D_41       B_3      D_42  D_43      D_44       B_4      D_45       B_5       R_2      D_46      D_47      D_48  D_49       B_6       B_7       B_8  D_50      D_51       B_9       R_3      D_52       P_3      B_10  D_53       S_5      B_11       S_6      D_54       R_4       S_7      B_12       S_8      D_55  D_56      B_13       R_5      D_58       S_9      B_14      D_59      D_60      D_61      B_15      S_11      D_62 D_63 D_64      D_65      B_16  B_17      B_18      B_19  D_66      B_20  D_68      S_12       R_6      S_13      B_21      D_69      B_22      D_70      D_71      D_72      S_15      B_23      D_73       P_4      D_74      D_75  D_76      B_24       R_7      D_77      B_25      B_26      D_78      D_79       R_8  R_9      S_16      D_80      R_10      R_11      B_27      D_81      D_82      S_17      R_12      B_28      R_13      D_83  \\\n0  00000469ba478561f23a92a868bd366de6f6527a684c9a...  2019-02-19  0.631315  0.001912  0.010728  0.814497  0.007547  0.168651  0.009971  0.002347  0.113189   NaN  0.007584  0.116402  0.004483  0.009517  0.005178       NaN  0.474383  0.626467   NaN  0.174591  1.250677  1.003925   NaN  0.008718  0.001013  0.103590  0.119043       NaN -0.002919   NaN  0.002771  0.004416  1.006875  1.005069  0.002810  0.105587  0.119198  0.321676  0.114564   NaN       NaN  0.003420  0.205898       NaN  0.010182       NaN  0.027472  0.588734  0.010489  1.881856  0.051811   CR  NaN  0.008294  0.008663   NaN  0.592103  0.009144   NaN  0.004986   NaN  0.190516  0.002675  0.409411  0.009990       NaN  0.005210       NaN  0.014684  0.004310  0.400602  1.134792  0.178862  0.959531  0.217694  0.204590   NaN  0.009799  0.007748  0.002916  0.006896  0.001656  0.004356       NaN  0.002008  NaN  0.002531  0.000348  0.001173  0.004170  0.004585  0.002291  0.508240  0.005093  1.002944  0.133804  0.004322       NaN   \n1  00000469ba478561f23a92a868bd366de6f6527a684c9a...  2019-03-25  0.587042  0.005275  0.011026  0.810848  0.001817  0.241389  0.000166  0.009132  0.123035   NaN  0.006646  0.134878  0.009497  0.026313  0.009029       NaN  0.473587  0.611682   NaN  0.177115  0.234169  1.009301   NaN  0.003146  0.005533  0.101239  0.120991       NaN  0.031222   NaN  0.006497  0.010003  1.005728  1.000432  0.000525  0.160562  0.121490  0.170728  0.184116   NaN  0.028347  0.007156  0.403270  0.014491  0.025130       NaN  0.054790  0.622886  0.021704  2.043278  0.057567   CR  NaN  0.002011  0.000835   NaN  0.590922  0.000165   NaN  0.001557   NaN  0.190172  0.001771  0.561424  0.008125       NaN  0.008394  0.000606  0.011945  0.002283  0.605887  0.208381  0.179502  0.961667  0.216526  0.206570   NaN  0.004549  0.003098       NaN  0.003682  0.005516  0.001506  0.001013  0.006444  NaN  0.007169  0.003077  0.005880  0.004056  0.009634  0.001225  0.508681  0.007319  1.003831  0.144626  0.005300       NaN   \n2  00000469ba478561f23a92a868bd366de6f6527a684c9a...  2019-04-25  0.609056  0.003326  0.016390  1.004620  0.000114  0.266976  0.004196  0.004192  0.125319   NaN  0.009606  0.136109  0.007020  0.060017  0.008286       NaN  0.471837  0.622228   NaN  1.417059  0.126995  1.004635   NaN  0.006082  0.000023  0.108955  0.113107       NaN  0.035532   NaN  0.003407  0.004140  0.006408  1.007979  0.004876  0.210077  0.120145  0.172760  0.253969   NaN  0.033726  0.006025  0.393717  0.022947  0.028865  0.423664  0.083740  0.617996  0.039339  1.641889  0.050673   CR  NaN  0.008807  0.006182   NaN  0.591441  0.006097   NaN  0.002339   NaN -0.026253  0.007217  0.692383  0.008099       NaN  0.002630  0.001675  0.015594  0.002481  0.601936  0.115770  0.182408  0.963797  0.223477  0.204640   NaN  0.004056  0.008546       NaN  0.002389  0.000776  0.007588  0.008679  0.008287  NaN  0.006505  0.000671  0.009992  0.007178  0.006634  0.009232  0.507665  0.006450  1.006577  0.149697  0.001414       NaN   \n3  00000469ba478561f23a92a868bd366de6f6527a684c9a...  2019-05-20  0.614911  0.009065  0.021672  0.816549  0.009722  0.188947  0.004123  0.015325  0.123438   NaN  0.007820  0.146546  0.008946  0.003400  0.008305       NaN  0.475889  0.615620   NaN  0.044620  0.144631  1.009093   NaN  0.004940  0.007204  0.100545  0.120276       NaN  0.043155   NaN  0.007204  0.013309  0.005841  1.003715  0.006444  0.193704  0.073299  0.171138  0.305662   NaN  0.040765  0.005942  0.416276  0.019371  0.026172  0.400214  0.063188  0.614086  0.025483  1.001688  0.015384   CR  NaN  0.001455  0.009910   NaN  0.590951  0.002537   NaN  0.006877   NaN  0.096763  0.004032  0.690850  0.009127       NaN  0.004402  0.000454  0.008696  0.001988  0.508140  0.131948  0.185931  0.958618  0.216830  0.203464   NaN  0.006455  0.003718       NaN  0.004244  0.006314  0.004431  0.007889  0.006862  NaN  0.004076  0.007267  0.004758  0.008958  0.006116  0.009567  0.500727  0.001257  1.005334  0.159761  0.006111       NaN   \n4  00000469ba478561f23a92a868bd366de6f6527a684c9a...  2019-06-15  0.591673  0.238794  0.015923  0.810456  0.002026  0.180035  0.000731  0.011281  0.122212   NaN  0.009959  0.135725  0.008514  0.141991  0.002728  0.442145  0.479899  0.591795   NaN  0.039586  0.178240  1.006634   NaN  0.003320  0.000569  0.100728  0.115423  0.597524  0.063187   NaN  0.008620  0.006974  0.002622  1.005363  0.005849  0.202131  0.049336  0.320033  0.350231   NaN  0.063157  0.001305  0.398535  0.011345  0.009429  0.401725  0.024818  0.592988  0.016975  1.082219  0.020399   CR    U  0.003040  0.000131   NaN  0.593366  0.001112   NaN  0.007519   6.0  0.116827  0.003106  0.691550  0.009907  0.007157  0.000384  0.005929  0.009421  0.000674  0.402430  0.153263  0.184804  0.962635  0.214919  0.201180   NaN  0.000208  0.003138       NaN  0.000604  0.005901  0.006243  0.006990  0.005630  NaN  0.003887  0.009457  0.009644  0.005239  0.003339  0.005440  0.501997  0.002934  1.005763  0.145105  0.005117  0.001843   \n\n       R_14      R_15      D_84      R_16      B_29  B_30      S_18      D_86  D_87      R_17      R_18  D_88  B_31      S_19      R_19      B_32      S_20      R_20      R_21      B_33      D_89      R_22      R_23  D_91      D_92      D_93      D_94      R_24      R_25      D_96      S_22      S_23      S_24      S_25      S_26     D_102     D_103     D_104  D_105  D_106     D_107      B_36      B_37  R_26      R_27  B_38  D_108     D_109  D_110  D_111  B_39     D_112      B_40      S_27     D_113  D_114    D_115  D_116  D_117     D_118     D_119  D_120     D_121     D_122     D_123     D_124     D_125  D_126     D_127     D_128     D_129      B_41  B_42     D_130     D_131  D_132     D_133      R_28  D_134  D_135  D_136  D_137  D_138     D_139     D_140     D_141  D_142     D_143     D_144     D_145  \n0  0.008857  0.004144  0.009563  0.006942       NaN   0.0  0.003684  0.009909   NaN  0.008908  0.002955   NaN     1  0.008999  0.003418  0.002200  0.003781  0.002948  0.004635  1.003810  0.006653  0.007474  0.000192   NaN  0.008761  0.000835  0.004389  0.004115  0.008442  0.009575  0.981078  0.134916  0.954664  0.971086  0.006562  0.002419       NaN       NaN    NaN    NaN       NaN  0.008146  0.007970   NaN       NaN   1.0    NaN  0.005124    NaN    NaN   NaN  1.004130  0.274203  0.004302       NaN    NaN      NaN    NaN    NaN       NaN       NaN    NaN       NaN       NaN       NaN       NaN       NaN    0.0  0.006201       NaN       NaN  0.009664   NaN       NaN       NaN    NaN  0.007082  0.005957    NaN    NaN    NaN    NaN    NaN       NaN  0.004669       NaN    NaN       NaN  0.008281       NaN  \n1  0.001477  0.002083  0.002234  0.005523       NaN   0.0  0.006410  0.007458   NaN  0.000843  0.007457   NaN     1  0.005120  0.002382  0.006557  0.001691  0.004449  0.000574  1.004629  0.004394  0.001169  0.006693   NaN  0.004318  0.008072  0.007888  0.007656  0.006347  0.006952  0.966995  0.138531  0.957019  0.975003  0.004611  0.006549  0.003031  0.008755    NaN    NaN  0.004698  0.000078  0.015463   NaN  1.007666   1.0    NaN  0.000610    NaN    NaN   NaN  1.004495  0.353639  0.276623       NaN    NaN      NaN    NaN    NaN       NaN       NaN    NaN       NaN       NaN       NaN       NaN       NaN    0.0  0.003833  0.008782  0.005579  0.007441   NaN  0.007598  0.008074    NaN  0.007188  0.001253    NaN    NaN    NaN    NaN    NaN  0.000142  0.004940  0.009021    NaN  0.003695  0.003753  0.001460  \n2  0.002942  0.001140  0.002693  0.002464       NaN   0.0  0.003726  0.008303   NaN  0.000337  0.006015   NaN     1  0.002576  0.005423  0.009860  0.008547  0.002201  0.006438  1.007063  0.004019  0.004840  0.004163   NaN  0.008537  0.004833  0.000699  0.007905  0.009021  0.003944  0.970504  0.136436  0.964148  0.978581  0.005550  0.006819  0.002500  0.008872    NaN    NaN  0.004696  0.000989  0.016206   NaN  1.005097   2.0    NaN  0.006811    NaN    NaN   NaN  1.003939  0.390530  0.247940       NaN    NaN      NaN    NaN    NaN       NaN       NaN    NaN       NaN       NaN       NaN       NaN       NaN    0.0  0.006758  0.005602  0.009336  0.009595   NaN  0.003608  0.009865    NaN  0.008436  0.001924    NaN    NaN    NaN    NaN    NaN  0.000074  0.002114  0.004656    NaN  0.003155  0.002156  0.006482  \n3  0.002308  0.006834  0.004952  0.004009       NaN   0.0  0.003363  0.003571   NaN  0.003653  0.001441   NaN     1  0.005077  0.002619  0.005238  0.000531  0.000277  0.002879  1.009508  0.003135  0.003861  0.008369   NaN  0.004359  0.007704  0.002926  0.008645  0.000756  0.001333  0.926058  0.131422  0.929261  0.976669  0.001566  0.009241  0.009274  0.008570    NaN    NaN  0.003453  0.000845  0.018480   NaN  1.005593   2.0    NaN  0.006936    NaN    NaN   NaN  1.002883  0.403018  0.295951       NaN    NaN      NaN    NaN    NaN       NaN       NaN    NaN       NaN       NaN       NaN       NaN       NaN    0.0  0.004069  0.008690  0.006479  0.006602   NaN  0.006133  0.005897    NaN  0.002422  0.006757    NaN    NaN    NaN    NaN    NaN  0.004743  0.006392  0.002890    NaN  0.006044  0.005206  0.007855  \n4  0.004263  0.005148  0.009974  0.003086  0.001969   0.0  0.006484  0.008765   NaN  0.003520  0.000117   NaN     1  0.009074  0.002172  0.007614  0.008243  0.007483  0.000445  1.001869  0.004443  0.005493  0.009766   NaN  0.003006  0.000445  0.008522  0.001573  0.003849  0.009160  0.914256  0.139606  0.904863  0.975395  0.002411  0.009546  0.003093  0.000221    NaN    NaN  0.003509  0.001413  0.015362   NaN  1.009071   2.0    NaN  0.001480    NaN    NaN   NaN  1.003670  0.359984  0.390859  0.005624    0.0  0.24982    0.0   -1.0  0.243366  0.245074    1.0  0.198171  0.149127  0.003232  0.009485  0.007616    0.0  0.000031  0.005304  0.002027  0.008995   NaN  0.006975  0.005312    NaN  0.000302  0.003578    NaN    NaN    NaN    NaN    NaN  0.008133  0.004329  0.008384    NaN  0.001008  0.007421  0.009471  ","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>customer_ID</th>\n      <th>S_2</th>\n      <th>P_2</th>\n      <th>D_39</th>\n      <th>B_1</th>\n      <th>B_2</th>\n      <th>R_1</th>\n      <th>S_3</th>\n      <th>D_41</th>\n      <th>B_3</th>\n      <th>D_42</th>\n      <th>D_43</th>\n      <th>D_44</th>\n      <th>B_4</th>\n      <th>D_45</th>\n      <th>B_5</th>\n      <th>R_2</th>\n      <th>D_46</th>\n      <th>D_47</th>\n      <th>D_48</th>\n      <th>D_49</th>\n      <th>B_6</th>\n      <th>B_7</th>\n      <th>B_8</th>\n      <th>D_50</th>\n      <th>D_51</th>\n      <th>B_9</th>\n      <th>R_3</th>\n      <th>D_52</th>\n      <th>P_3</th>\n      <th>B_10</th>\n      <th>D_53</th>\n      <th>S_5</th>\n      <th>B_11</th>\n      <th>S_6</th>\n      <th>D_54</th>\n      <th>R_4</th>\n      <th>S_7</th>\n      <th>B_12</th>\n      <th>S_8</th>\n      <th>D_55</th>\n      <th>D_56</th>\n      <th>B_13</th>\n      <th>R_5</th>\n      <th>D_58</th>\n      <th>S_9</th>\n      <th>B_14</th>\n      <th>D_59</th>\n      <th>D_60</th>\n      <th>D_61</th>\n      <th>B_15</th>\n      <th>S_11</th>\n      <th>D_62</th>\n      <th>D_63</th>\n      <th>D_64</th>\n      <th>D_65</th>\n      <th>B_16</th>\n      <th>B_17</th>\n      <th>B_18</th>\n      <th>B_19</th>\n      <th>D_66</th>\n      <th>B_20</th>\n      <th>D_68</th>\n      <th>S_12</th>\n      <th>R_6</th>\n      <th>S_13</th>\n      <th>B_21</th>\n      <th>D_69</th>\n      <th>B_22</th>\n      <th>D_70</th>\n      <th>D_71</th>\n      <th>D_72</th>\n      <th>S_15</th>\n      <th>B_23</th>\n      <th>D_73</th>\n      <th>P_4</th>\n      <th>D_74</th>\n      <th>D_75</th>\n      <th>D_76</th>\n      <th>B_24</th>\n      <th>R_7</th>\n      <th>D_77</th>\n      <th>B_25</th>\n      <th>B_26</th>\n      <th>D_78</th>\n      <th>D_79</th>\n      <th>R_8</th>\n      <th>R_9</th>\n      <th>S_16</th>\n      <th>D_80</th>\n      <th>R_10</th>\n      <th>R_11</th>\n      <th>B_27</th>\n      <th>D_81</th>\n      <th>D_82</th>\n      <th>S_17</th>\n      <th>R_12</th>\n      <th>B_28</th>\n      <th>R_13</th>\n      <th>D_83</th>\n      <th>R_14</th>\n      <th>R_15</th>\n      <th>D_84</th>\n      <th>R_16</th>\n      <th>B_29</th>\n      <th>B_30</th>\n      <th>S_18</th>\n      <th>D_86</th>\n      <th>D_87</th>\n      <th>R_17</th>\n      <th>R_18</th>\n      <th>D_88</th>\n      <th>B_31</th>\n      <th>S_19</th>\n      <th>R_19</th>\n      <th>B_32</th>\n      <th>S_20</th>\n      <th>R_20</th>\n      <th>R_21</th>\n      <th>B_33</th>\n      <th>D_89</th>\n      <th>R_22</th>\n      <th>R_23</th>\n      <th>D_91</th>\n      <th>D_92</th>\n      <th>D_93</th>\n      <th>D_94</th>\n      <th>R_24</th>\n      <th>R_25</th>\n      <th>D_96</th>\n      <th>S_22</th>\n      <th>S_23</th>\n      <th>S_24</th>\n      <th>S_25</th>\n      <th>S_26</th>\n      <th>D_102</th>\n      <th>D_103</th>\n      <th>D_104</th>\n      <th>D_105</th>\n      <th>D_106</th>\n      <th>D_107</th>\n      <th>B_36</th>\n      <th>B_37</th>\n      <th>R_26</th>\n      <th>R_27</th>\n      <th>B_38</th>\n      <th>D_108</th>\n      <th>D_109</th>\n      <th>D_110</th>\n      <th>D_111</th>\n      <th>B_39</th>\n      <th>D_112</th>\n      <th>B_40</th>\n      <th>S_27</th>\n      <th>D_113</th>\n      <th>D_114</th>\n      <th>D_115</th>\n      <th>D_116</th>\n      <th>D_117</th>\n      <th>D_118</th>\n      <th>D_119</th>\n      <th>D_120</th>\n      <th>D_121</th>\n      <th>D_122</th>\n      <th>D_123</th>\n      <th>D_124</th>\n      <th>D_125</th>\n      <th>D_126</th>\n      <th>D_127</th>\n      <th>D_128</th>\n      <th>D_129</th>\n      <th>B_41</th>\n      <th>B_42</th>\n      <th>D_130</th>\n      <th>D_131</th>\n      <th>D_132</th>\n      <th>D_133</th>\n      <th>R_28</th>\n      <th>D_134</th>\n      <th>D_135</th>\n      <th>D_136</th>\n      <th>D_137</th>\n      <th>D_138</th>\n      <th>D_139</th>\n      <th>D_140</th>\n      <th>D_141</th>\n      <th>D_142</th>\n      <th>D_143</th>\n      <th>D_144</th>\n      <th>D_145</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>00000469ba478561f23a92a868bd366de6f6527a684c9a...</td>\n      <td>2019-02-19</td>\n      <td>0.631315</td>\n      <td>0.001912</td>\n      <td>0.010728</td>\n      <td>0.814497</td>\n      <td>0.007547</td>\n      <td>0.168651</td>\n      <td>0.009971</td>\n      <td>0.002347</td>\n      <td>0.113189</td>\n      <td>NaN</td>\n      <td>0.007584</td>\n      <td>0.116402</td>\n      <td>0.004483</td>\n      <td>0.009517</td>\n      <td>0.005178</td>\n      <td>NaN</td>\n      <td>0.474383</td>\n      <td>0.626467</td>\n      <td>NaN</td>\n      <td>0.174591</td>\n      <td>1.250677</td>\n      <td>1.003925</td>\n      <td>NaN</td>\n      <td>0.008718</td>\n      <td>0.001013</td>\n      <td>0.103590</td>\n      <td>0.119043</td>\n      <td>NaN</td>\n      <td>-0.002919</td>\n      <td>NaN</td>\n      <td>0.002771</td>\n      <td>0.004416</td>\n      <td>1.006875</td>\n      <td>1.005069</td>\n      <td>0.002810</td>\n      <td>0.105587</td>\n      <td>0.119198</td>\n      <td>0.321676</td>\n      <td>0.114564</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003420</td>\n      <td>0.205898</td>\n      <td>NaN</td>\n      <td>0.010182</td>\n      <td>NaN</td>\n      <td>0.027472</td>\n      <td>0.588734</td>\n      <td>0.010489</td>\n      <td>1.881856</td>\n      <td>0.051811</td>\n      <td>CR</td>\n      <td>NaN</td>\n      <td>0.008294</td>\n      <td>0.008663</td>\n      <td>NaN</td>\n      <td>0.592103</td>\n      <td>0.009144</td>\n      <td>NaN</td>\n      <td>0.004986</td>\n      <td>NaN</td>\n      <td>0.190516</td>\n      <td>0.002675</td>\n      <td>0.409411</td>\n      <td>0.009990</td>\n      <td>NaN</td>\n      <td>0.005210</td>\n      <td>NaN</td>\n      <td>0.014684</td>\n      <td>0.004310</td>\n      <td>0.400602</td>\n      <td>1.134792</td>\n      <td>0.178862</td>\n      <td>0.959531</td>\n      <td>0.217694</td>\n      <td>0.204590</td>\n      <td>NaN</td>\n      <td>0.009799</td>\n      <td>0.007748</td>\n      <td>0.002916</td>\n      <td>0.006896</td>\n      <td>0.001656</td>\n      <td>0.004356</td>\n      <td>NaN</td>\n      <td>0.002008</td>\n      <td>NaN</td>\n      <td>0.002531</td>\n      <td>0.000348</td>\n      <td>0.001173</td>\n      <td>0.004170</td>\n      <td>0.004585</td>\n      <td>0.002291</td>\n      <td>0.508240</td>\n      <td>0.005093</td>\n      <td>1.002944</td>\n      <td>0.133804</td>\n      <td>0.004322</td>\n      <td>NaN</td>\n      <td>0.008857</td>\n      <td>0.004144</td>\n      <td>0.009563</td>\n      <td>0.006942</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.003684</td>\n      <td>0.009909</td>\n      <td>NaN</td>\n      <td>0.008908</td>\n      <td>0.002955</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.008999</td>\n      <td>0.003418</td>\n      <td>0.002200</td>\n      <td>0.003781</td>\n      <td>0.002948</td>\n      <td>0.004635</td>\n      <td>1.003810</td>\n      <td>0.006653</td>\n      <td>0.007474</td>\n      <td>0.000192</td>\n      <td>NaN</td>\n      <td>0.008761</td>\n      <td>0.000835</td>\n      <td>0.004389</td>\n      <td>0.004115</td>\n      <td>0.008442</td>\n      <td>0.009575</td>\n      <td>0.981078</td>\n      <td>0.134916</td>\n      <td>0.954664</td>\n      <td>0.971086</td>\n      <td>0.006562</td>\n      <td>0.002419</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.008146</td>\n      <td>0.007970</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>NaN</td>\n      <td>0.005124</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.004130</td>\n      <td>0.274203</td>\n      <td>0.004302</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.006201</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.009664</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.007082</td>\n      <td>0.005957</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.004669</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.008281</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>00000469ba478561f23a92a868bd366de6f6527a684c9a...</td>\n      <td>2019-03-25</td>\n      <td>0.587042</td>\n      <td>0.005275</td>\n      <td>0.011026</td>\n      <td>0.810848</td>\n      <td>0.001817</td>\n      <td>0.241389</td>\n      <td>0.000166</td>\n      <td>0.009132</td>\n      <td>0.123035</td>\n      <td>NaN</td>\n      <td>0.006646</td>\n      <td>0.134878</td>\n      <td>0.009497</td>\n      <td>0.026313</td>\n      <td>0.009029</td>\n      <td>NaN</td>\n      <td>0.473587</td>\n      <td>0.611682</td>\n      <td>NaN</td>\n      <td>0.177115</td>\n      <td>0.234169</td>\n      <td>1.009301</td>\n      <td>NaN</td>\n      <td>0.003146</td>\n      <td>0.005533</td>\n      <td>0.101239</td>\n      <td>0.120991</td>\n      <td>NaN</td>\n      <td>0.031222</td>\n      <td>NaN</td>\n      <td>0.006497</td>\n      <td>0.010003</td>\n      <td>1.005728</td>\n      <td>1.000432</td>\n      <td>0.000525</td>\n      <td>0.160562</td>\n      <td>0.121490</td>\n      <td>0.170728</td>\n      <td>0.184116</td>\n      <td>NaN</td>\n      <td>0.028347</td>\n      <td>0.007156</td>\n      <td>0.403270</td>\n      <td>0.014491</td>\n      <td>0.025130</td>\n      <td>NaN</td>\n      <td>0.054790</td>\n      <td>0.622886</td>\n      <td>0.021704</td>\n      <td>2.043278</td>\n      <td>0.057567</td>\n      <td>CR</td>\n      <td>NaN</td>\n      <td>0.002011</td>\n      <td>0.000835</td>\n      <td>NaN</td>\n      <td>0.590922</td>\n      <td>0.000165</td>\n      <td>NaN</td>\n      <td>0.001557</td>\n      <td>NaN</td>\n      <td>0.190172</td>\n      <td>0.001771</td>\n      <td>0.561424</td>\n      <td>0.008125</td>\n      <td>NaN</td>\n      <td>0.008394</td>\n      <td>0.000606</td>\n      <td>0.011945</td>\n      <td>0.002283</td>\n      <td>0.605887</td>\n      <td>0.208381</td>\n      <td>0.179502</td>\n      <td>0.961667</td>\n      <td>0.216526</td>\n      <td>0.206570</td>\n      <td>NaN</td>\n      <td>0.004549</td>\n      <td>0.003098</td>\n      <td>NaN</td>\n      <td>0.003682</td>\n      <td>0.005516</td>\n      <td>0.001506</td>\n      <td>0.001013</td>\n      <td>0.006444</td>\n      <td>NaN</td>\n      <td>0.007169</td>\n      <td>0.003077</td>\n      <td>0.005880</td>\n      <td>0.004056</td>\n      <td>0.009634</td>\n      <td>0.001225</td>\n      <td>0.508681</td>\n      <td>0.007319</td>\n      <td>1.003831</td>\n      <td>0.144626</td>\n      <td>0.005300</td>\n      <td>NaN</td>\n      <td>0.001477</td>\n      <td>0.002083</td>\n      <td>0.002234</td>\n      <td>0.005523</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.006410</td>\n      <td>0.007458</td>\n      <td>NaN</td>\n      <td>0.000843</td>\n      <td>0.007457</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.005120</td>\n      <td>0.002382</td>\n      <td>0.006557</td>\n      <td>0.001691</td>\n      <td>0.004449</td>\n      <td>0.000574</td>\n      <td>1.004629</td>\n      <td>0.004394</td>\n      <td>0.001169</td>\n      <td>0.006693</td>\n      <td>NaN</td>\n      <td>0.004318</td>\n      <td>0.008072</td>\n      <td>0.007888</td>\n      <td>0.007656</td>\n      <td>0.006347</td>\n      <td>0.006952</td>\n      <td>0.966995</td>\n      <td>0.138531</td>\n      <td>0.957019</td>\n      <td>0.975003</td>\n      <td>0.004611</td>\n      <td>0.006549</td>\n      <td>0.003031</td>\n      <td>0.008755</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.004698</td>\n      <td>0.000078</td>\n      <td>0.015463</td>\n      <td>NaN</td>\n      <td>1.007666</td>\n      <td>1.0</td>\n      <td>NaN</td>\n      <td>0.000610</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.004495</td>\n      <td>0.353639</td>\n      <td>0.276623</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.003833</td>\n      <td>0.008782</td>\n      <td>0.005579</td>\n      <td>0.007441</td>\n      <td>NaN</td>\n      <td>0.007598</td>\n      <td>0.008074</td>\n      <td>NaN</td>\n      <td>0.007188</td>\n      <td>0.001253</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000142</td>\n      <td>0.004940</td>\n      <td>0.009021</td>\n      <td>NaN</td>\n      <td>0.003695</td>\n      <td>0.003753</td>\n      <td>0.001460</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>00000469ba478561f23a92a868bd366de6f6527a684c9a...</td>\n      <td>2019-04-25</td>\n      <td>0.609056</td>\n      <td>0.003326</td>\n      <td>0.016390</td>\n      <td>1.004620</td>\n      <td>0.000114</td>\n      <td>0.266976</td>\n      <td>0.004196</td>\n      <td>0.004192</td>\n      <td>0.125319</td>\n      <td>NaN</td>\n      <td>0.009606</td>\n      <td>0.136109</td>\n      <td>0.007020</td>\n      <td>0.060017</td>\n      <td>0.008286</td>\n      <td>NaN</td>\n      <td>0.471837</td>\n      <td>0.622228</td>\n      <td>NaN</td>\n      <td>1.417059</td>\n      <td>0.126995</td>\n      <td>1.004635</td>\n      <td>NaN</td>\n      <td>0.006082</td>\n      <td>0.000023</td>\n      <td>0.108955</td>\n      <td>0.113107</td>\n      <td>NaN</td>\n      <td>0.035532</td>\n      <td>NaN</td>\n      <td>0.003407</td>\n      <td>0.004140</td>\n      <td>0.006408</td>\n      <td>1.007979</td>\n      <td>0.004876</td>\n      <td>0.210077</td>\n      <td>0.120145</td>\n      <td>0.172760</td>\n      <td>0.253969</td>\n      <td>NaN</td>\n      <td>0.033726</td>\n      <td>0.006025</td>\n      <td>0.393717</td>\n      <td>0.022947</td>\n      <td>0.028865</td>\n      <td>0.423664</td>\n      <td>0.083740</td>\n      <td>0.617996</td>\n      <td>0.039339</td>\n      <td>1.641889</td>\n      <td>0.050673</td>\n      <td>CR</td>\n      <td>NaN</td>\n      <td>0.008807</td>\n      <td>0.006182</td>\n      <td>NaN</td>\n      <td>0.591441</td>\n      <td>0.006097</td>\n      <td>NaN</td>\n      <td>0.002339</td>\n      <td>NaN</td>\n      <td>-0.026253</td>\n      <td>0.007217</td>\n      <td>0.692383</td>\n      <td>0.008099</td>\n      <td>NaN</td>\n      <td>0.002630</td>\n      <td>0.001675</td>\n      <td>0.015594</td>\n      <td>0.002481</td>\n      <td>0.601936</td>\n      <td>0.115770</td>\n      <td>0.182408</td>\n      <td>0.963797</td>\n      <td>0.223477</td>\n      <td>0.204640</td>\n      <td>NaN</td>\n      <td>0.004056</td>\n      <td>0.008546</td>\n      <td>NaN</td>\n      <td>0.002389</td>\n      <td>0.000776</td>\n      <td>0.007588</td>\n      <td>0.008679</td>\n      <td>0.008287</td>\n      <td>NaN</td>\n      <td>0.006505</td>\n      <td>0.000671</td>\n      <td>0.009992</td>\n      <td>0.007178</td>\n      <td>0.006634</td>\n      <td>0.009232</td>\n      <td>0.507665</td>\n      <td>0.006450</td>\n      <td>1.006577</td>\n      <td>0.149697</td>\n      <td>0.001414</td>\n      <td>NaN</td>\n      <td>0.002942</td>\n      <td>0.001140</td>\n      <td>0.002693</td>\n      <td>0.002464</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.003726</td>\n      <td>0.008303</td>\n      <td>NaN</td>\n      <td>0.000337</td>\n      <td>0.006015</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.002576</td>\n      <td>0.005423</td>\n      <td>0.009860</td>\n      <td>0.008547</td>\n      <td>0.002201</td>\n      <td>0.006438</td>\n      <td>1.007063</td>\n      <td>0.004019</td>\n      <td>0.004840</td>\n      <td>0.004163</td>\n      <td>NaN</td>\n      <td>0.008537</td>\n      <td>0.004833</td>\n      <td>0.000699</td>\n      <td>0.007905</td>\n      <td>0.009021</td>\n      <td>0.003944</td>\n      <td>0.970504</td>\n      <td>0.136436</td>\n      <td>0.964148</td>\n      <td>0.978581</td>\n      <td>0.005550</td>\n      <td>0.006819</td>\n      <td>0.002500</td>\n      <td>0.008872</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.004696</td>\n      <td>0.000989</td>\n      <td>0.016206</td>\n      <td>NaN</td>\n      <td>1.005097</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.006811</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.003939</td>\n      <td>0.390530</td>\n      <td>0.247940</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.006758</td>\n      <td>0.005602</td>\n      <td>0.009336</td>\n      <td>0.009595</td>\n      <td>NaN</td>\n      <td>0.003608</td>\n      <td>0.009865</td>\n      <td>NaN</td>\n      <td>0.008436</td>\n      <td>0.001924</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000074</td>\n      <td>0.002114</td>\n      <td>0.004656</td>\n      <td>NaN</td>\n      <td>0.003155</td>\n      <td>0.002156</td>\n      <td>0.006482</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>00000469ba478561f23a92a868bd366de6f6527a684c9a...</td>\n      <td>2019-05-20</td>\n      <td>0.614911</td>\n      <td>0.009065</td>\n      <td>0.021672</td>\n      <td>0.816549</td>\n      <td>0.009722</td>\n      <td>0.188947</td>\n      <td>0.004123</td>\n      <td>0.015325</td>\n      <td>0.123438</td>\n      <td>NaN</td>\n      <td>0.007820</td>\n      <td>0.146546</td>\n      <td>0.008946</td>\n      <td>0.003400</td>\n      <td>0.008305</td>\n      <td>NaN</td>\n      <td>0.475889</td>\n      <td>0.615620</td>\n      <td>NaN</td>\n      <td>0.044620</td>\n      <td>0.144631</td>\n      <td>1.009093</td>\n      <td>NaN</td>\n      <td>0.004940</td>\n      <td>0.007204</td>\n      <td>0.100545</td>\n      <td>0.120276</td>\n      <td>NaN</td>\n      <td>0.043155</td>\n      <td>NaN</td>\n      <td>0.007204</td>\n      <td>0.013309</td>\n      <td>0.005841</td>\n      <td>1.003715</td>\n      <td>0.006444</td>\n      <td>0.193704</td>\n      <td>0.073299</td>\n      <td>0.171138</td>\n      <td>0.305662</td>\n      <td>NaN</td>\n      <td>0.040765</td>\n      <td>0.005942</td>\n      <td>0.416276</td>\n      <td>0.019371</td>\n      <td>0.026172</td>\n      <td>0.400214</td>\n      <td>0.063188</td>\n      <td>0.614086</td>\n      <td>0.025483</td>\n      <td>1.001688</td>\n      <td>0.015384</td>\n      <td>CR</td>\n      <td>NaN</td>\n      <td>0.001455</td>\n      <td>0.009910</td>\n      <td>NaN</td>\n      <td>0.590951</td>\n      <td>0.002537</td>\n      <td>NaN</td>\n      <td>0.006877</td>\n      <td>NaN</td>\n      <td>0.096763</td>\n      <td>0.004032</td>\n      <td>0.690850</td>\n      <td>0.009127</td>\n      <td>NaN</td>\n      <td>0.004402</td>\n      <td>0.000454</td>\n      <td>0.008696</td>\n      <td>0.001988</td>\n      <td>0.508140</td>\n      <td>0.131948</td>\n      <td>0.185931</td>\n      <td>0.958618</td>\n      <td>0.216830</td>\n      <td>0.203464</td>\n      <td>NaN</td>\n      <td>0.006455</td>\n      <td>0.003718</td>\n      <td>NaN</td>\n      <td>0.004244</td>\n      <td>0.006314</td>\n      <td>0.004431</td>\n      <td>0.007889</td>\n      <td>0.006862</td>\n      <td>NaN</td>\n      <td>0.004076</td>\n      <td>0.007267</td>\n      <td>0.004758</td>\n      <td>0.008958</td>\n      <td>0.006116</td>\n      <td>0.009567</td>\n      <td>0.500727</td>\n      <td>0.001257</td>\n      <td>1.005334</td>\n      <td>0.159761</td>\n      <td>0.006111</td>\n      <td>NaN</td>\n      <td>0.002308</td>\n      <td>0.006834</td>\n      <td>0.004952</td>\n      <td>0.004009</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.003363</td>\n      <td>0.003571</td>\n      <td>NaN</td>\n      <td>0.003653</td>\n      <td>0.001441</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.005077</td>\n      <td>0.002619</td>\n      <td>0.005238</td>\n      <td>0.000531</td>\n      <td>0.000277</td>\n      <td>0.002879</td>\n      <td>1.009508</td>\n      <td>0.003135</td>\n      <td>0.003861</td>\n      <td>0.008369</td>\n      <td>NaN</td>\n      <td>0.004359</td>\n      <td>0.007704</td>\n      <td>0.002926</td>\n      <td>0.008645</td>\n      <td>0.000756</td>\n      <td>0.001333</td>\n      <td>0.926058</td>\n      <td>0.131422</td>\n      <td>0.929261</td>\n      <td>0.976669</td>\n      <td>0.001566</td>\n      <td>0.009241</td>\n      <td>0.009274</td>\n      <td>0.008570</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003453</td>\n      <td>0.000845</td>\n      <td>0.018480</td>\n      <td>NaN</td>\n      <td>1.005593</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.006936</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.002883</td>\n      <td>0.403018</td>\n      <td>0.295951</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.004069</td>\n      <td>0.008690</td>\n      <td>0.006479</td>\n      <td>0.006602</td>\n      <td>NaN</td>\n      <td>0.006133</td>\n      <td>0.005897</td>\n      <td>NaN</td>\n      <td>0.002422</td>\n      <td>0.006757</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.004743</td>\n      <td>0.006392</td>\n      <td>0.002890</td>\n      <td>NaN</td>\n      <td>0.006044</td>\n      <td>0.005206</td>\n      <td>0.007855</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>00000469ba478561f23a92a868bd366de6f6527a684c9a...</td>\n      <td>2019-06-15</td>\n      <td>0.591673</td>\n      <td>0.238794</td>\n      <td>0.015923</td>\n      <td>0.810456</td>\n      <td>0.002026</td>\n      <td>0.180035</td>\n      <td>0.000731</td>\n      <td>0.011281</td>\n      <td>0.122212</td>\n      <td>NaN</td>\n      <td>0.009959</td>\n      <td>0.135725</td>\n      <td>0.008514</td>\n      <td>0.141991</td>\n      <td>0.002728</td>\n      <td>0.442145</td>\n      <td>0.479899</td>\n      <td>0.591795</td>\n      <td>NaN</td>\n      <td>0.039586</td>\n      <td>0.178240</td>\n      <td>1.006634</td>\n      <td>NaN</td>\n      <td>0.003320</td>\n      <td>0.000569</td>\n      <td>0.100728</td>\n      <td>0.115423</td>\n      <td>0.597524</td>\n      <td>0.063187</td>\n      <td>NaN</td>\n      <td>0.008620</td>\n      <td>0.006974</td>\n      <td>0.002622</td>\n      <td>1.005363</td>\n      <td>0.005849</td>\n      <td>0.202131</td>\n      <td>0.049336</td>\n      <td>0.320033</td>\n      <td>0.350231</td>\n      <td>NaN</td>\n      <td>0.063157</td>\n      <td>0.001305</td>\n      <td>0.398535</td>\n      <td>0.011345</td>\n      <td>0.009429</td>\n      <td>0.401725</td>\n      <td>0.024818</td>\n      <td>0.592988</td>\n      <td>0.016975</td>\n      <td>1.082219</td>\n      <td>0.020399</td>\n      <td>CR</td>\n      <td>U</td>\n      <td>0.003040</td>\n      <td>0.000131</td>\n      <td>NaN</td>\n      <td>0.593366</td>\n      <td>0.001112</td>\n      <td>NaN</td>\n      <td>0.007519</td>\n      <td>6.0</td>\n      <td>0.116827</td>\n      <td>0.003106</td>\n      <td>0.691550</td>\n      <td>0.009907</td>\n      <td>0.007157</td>\n      <td>0.000384</td>\n      <td>0.005929</td>\n      <td>0.009421</td>\n      <td>0.000674</td>\n      <td>0.402430</td>\n      <td>0.153263</td>\n      <td>0.184804</td>\n      <td>0.962635</td>\n      <td>0.214919</td>\n      <td>0.201180</td>\n      <td>NaN</td>\n      <td>0.000208</td>\n      <td>0.003138</td>\n      <td>NaN</td>\n      <td>0.000604</td>\n      <td>0.005901</td>\n      <td>0.006243</td>\n      <td>0.006990</td>\n      <td>0.005630</td>\n      <td>NaN</td>\n      <td>0.003887</td>\n      <td>0.009457</td>\n      <td>0.009644</td>\n      <td>0.005239</td>\n      <td>0.003339</td>\n      <td>0.005440</td>\n      <td>0.501997</td>\n      <td>0.002934</td>\n      <td>1.005763</td>\n      <td>0.145105</td>\n      <td>0.005117</td>\n      <td>0.001843</td>\n      <td>0.004263</td>\n      <td>0.005148</td>\n      <td>0.009974</td>\n      <td>0.003086</td>\n      <td>0.001969</td>\n      <td>0.0</td>\n      <td>0.006484</td>\n      <td>0.008765</td>\n      <td>NaN</td>\n      <td>0.003520</td>\n      <td>0.000117</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.009074</td>\n      <td>0.002172</td>\n      <td>0.007614</td>\n      <td>0.008243</td>\n      <td>0.007483</td>\n      <td>0.000445</td>\n      <td>1.001869</td>\n      <td>0.004443</td>\n      <td>0.005493</td>\n      <td>0.009766</td>\n      <td>NaN</td>\n      <td>0.003006</td>\n      <td>0.000445</td>\n      <td>0.008522</td>\n      <td>0.001573</td>\n      <td>0.003849</td>\n      <td>0.009160</td>\n      <td>0.914256</td>\n      <td>0.139606</td>\n      <td>0.904863</td>\n      <td>0.975395</td>\n      <td>0.002411</td>\n      <td>0.009546</td>\n      <td>0.003093</td>\n      <td>0.000221</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003509</td>\n      <td>0.001413</td>\n      <td>0.015362</td>\n      <td>NaN</td>\n      <td>1.009071</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.001480</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.003670</td>\n      <td>0.359984</td>\n      <td>0.390859</td>\n      <td>0.005624</td>\n      <td>0.0</td>\n      <td>0.24982</td>\n      <td>0.0</td>\n      <td>-1.0</td>\n      <td>0.243366</td>\n      <td>0.245074</td>\n      <td>1.0</td>\n      <td>0.198171</td>\n      <td>0.149127</td>\n      <td>0.003232</td>\n      <td>0.009485</td>\n      <td>0.007616</td>\n      <td>0.0</td>\n      <td>0.000031</td>\n      <td>0.005304</td>\n      <td>0.002027</td>\n      <td>0.008995</td>\n      <td>NaN</td>\n      <td>0.006975</td>\n      <td>0.005312</td>\n      <td>NaN</td>\n      <td>0.000302</td>\n      <td>0.003578</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.008133</td>\n      <td>0.004329</td>\n      <td>0.008384</td>\n      <td>NaN</td>\n      <td>0.001008</td>\n      <td>0.007421</td>\n      <td>0.009471</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"print(train.shape)\nprint(teste.shape)","metadata":{"execution":{"iopub.status.busy":"2024-08-18T22:59:27.003417Z","iopub.execute_input":"2024-08-18T22:59:27.003836Z","iopub.status.idle":"2024-08-18T22:59:27.010793Z","shell.execute_reply.started":"2024-08-18T22:59:27.003803Z","shell.execute_reply":"2024-08-18T22:59:27.009534Z"},"trusted":true},"execution_count":6,"outputs":[{"name":"stdout","text":"(5531451, 191)\n(11363762, 190)\n","output_type":"stream"}]},{"cell_type":"code","source":"train.isna().sum()","metadata":{"execution":{"iopub.status.busy":"2024-08-18T22:59:27.012146Z","iopub.execute_input":"2024-08-18T22:59:27.012579Z","iopub.status.idle":"2024-08-18T22:59:33.358783Z","shell.execute_reply.started":"2024-08-18T22:59:27.012536Z","shell.execute_reply":"2024-08-18T22:59:33.357594Z"},"trusted":true},"execution_count":7,"outputs":[{"execution_count":7,"output_type":"execute_result","data":{"text/plain":"customer_ID          0\nS_2                  0\nP_2              45985\nD_39                 0\nB_1                  0\nB_2               2016\nR_1                  0\nS_3            1020544\nD_41              2016\nB_3               2016\nD_42           4740137\nD_43           1658396\nD_44            274319\nB_4                  0\nD_45              2017\nB_5                  0\nR_2                  0\nD_46           1211699\nD_47                 0\nD_48            718725\nD_49           4985917\nB_6                233\nB_7                  0\nB_8              22268\nD_50           3142402\nD_51                 0\nB_9                  0\nR_3                  0\nD_52             29563\nP_3             301492\nB_10                 0\nD_53           4084585\nS_5                  0\nB_11                 0\nS_6                  0\nD_54              2016\nR_4                  0\nS_7            1020544\nB_12                 0\nS_8                  0\nD_55            184803\nD_56           2990943\nB_13             49519\nR_5                  0\nD_58                 0\nS_9            2933643\nB_14                 0\nD_59            106725\nD_60                 0\nD_61            598052\nB_15              6923\nS_11                 0\nD_62            758161\nD_63                 0\nD_64            217442\nD_65                 0\nB_16              2016\nB_17           3137598\nB_18                 0\nB_19              2016\nD_66           4908097\nB_20              2016\nD_68            216503\nS_12                 0\nR_6                  0\nS_13                 0\nB_21                 0\nD_69            194473\nB_22              2016\nD_70             94917\nD_71                 0\nD_72             23708\nS_15                 0\nB_23                 0\nD_73           5475595\nP_4                  0\nD_74             21773\nD_75                 0\nD_76           4908954\nB_24                 0\nR_7                  1\nD_77           2513912\nB_25              6923\nB_26              2016\nD_78            274319\nD_79             75939\nR_8                  0\nR_9            5218918\nS_16                 0\nD_80             21773\nR_10                 0\nR_11                 0\nB_27              2016\nD_81             25687\nD_82           4058614\nS_17                 0\nR_12                56\nB_28                 0\nR_13                 0\nD_83            194473\nR_14                 1\nR_15                 0\nD_84             29563\nR_16                 0\nB_29           5150035\nB_30              2016\nS_18                 0\nD_86                 0\nD_87           5527586\nR_17                 0\nR_18                 0\nD_88           5525447\nB_31                 0\nS_19                 0\nR_19                 0\nB_32                 0\nS_20                 0\nR_20                75\nR_21                 0\nB_33              2016\nD_89             29563\nR_22                 0\nR_23                 0\nD_91            157216\nD_92                 0\nD_93                 0\nD_94                 0\nR_24                 0\nR_25                 0\nD_96                 0\nS_22             19024\nS_23               445\nS_24             18593\nS_25             12847\nS_26               634\nD_102            40655\nD_103           101548\nD_104           101548\nD_105          3021431\nD_106          4990102\nD_107           101548\nB_36                 0\nB_37                56\nR_26           4922146\nR_27            128703\nB_38              2016\nD_108          5502513\nD_109             1597\nD_110          5500117\nD_111          5500117\nB_39           5497819\nD_112             2650\nB_40                53\nS_27           1400935\nD_113           176716\nD_114           176716\nD_115           176716\nD_116           176716\nD_117           176716\nD_118           176716\nD_119           176716\nD_120           176716\nD_121           176716\nD_122           176716\nD_123           176716\nD_124           176716\nD_125           176716\nD_126           116816\nD_127                0\nD_128           101548\nD_129           101548\nB_41               690\nB_42           5459973\nD_130           101548\nD_131           101548\nD_132          4988874\nD_133            42716\nR_28                 0\nD_134          5336752\nD_135          5336752\nD_136          5336752\nD_137          5336752\nD_138          5336752\nD_139           101548\nD_140            40632\nD_141           101548\nD_142          4587043\nD_143           101548\nD_144            40727\nD_145           101548\ntarget               0\ndtype: int64"},"metadata":{}}]},{"cell_type":"code","source":"teste.isna().sum()","metadata":{"execution":{"iopub.status.busy":"2024-08-18T22:59:33.360469Z","iopub.execute_input":"2024-08-18T22:59:33.360914Z","iopub.status.idle":"2024-08-18T22:59:36.184489Z","shell.execute_reply.started":"2024-08-18T22:59:33.360858Z","shell.execute_reply":"2024-08-18T22:59:36.183319Z"},"trusted":true},"execution_count":8,"outputs":[{"execution_count":8,"output_type":"execute_result","data":{"text/plain":"customer_ID           0\nS_2                   0\nP_2               59878\nD_39                  0\nB_1                   0\nB_2                2917\nR_1                   0\nS_3             1740965\nD_41               2917\nB_3                2917\nD_42           10006179\nD_43            3412626\nD_44             538165\nB_4                   0\nD_45               2978\nB_5                   0\nR_2                   0\nD_46            2297153\nD_47                  0\nD_48            1447136\nD_49           10006862\nB_6                3074\nB_7                   0\nB_8              104340\nD_50            6482746\nD_51                  0\nB_9                   0\nR_3                   0\nD_52              30521\nP_3              448579\nB_10                  0\nD_53            8378975\nS_5                   0\nB_11                  0\nS_6                   0\nD_54               2917\nR_4                   0\nS_7             1740965\nB_12                  0\nS_8                   0\nD_55             742973\nD_56            5712708\nB_13              58458\nR_5                   0\nD_58                  0\nS_9             3985374\nB_14                  0\nD_59             166415\nD_60                  0\nD_61            1240161\nB_15              14773\nS_11                  0\nD_62            1891514\nD_63                  0\nD_64             377838\nD_65                  0\nB_16               2917\nB_17            6126180\nB_18                  0\nB_19               2917\nD_66           10013928\nB_20               2917\nD_68             348496\nS_12               2385\nR_6                   0\nS_13                  0\nB_21                  0\nD_69             288272\nB_22               2917\nD_70             138180\nD_71                  0\nD_72              25724\nS_15                  0\nB_23                  0\nD_73           11214185\nP_4                   0\nD_74              40673\nD_75                  0\nD_76           10172788\nB_24                  0\nR_7                   0\nD_77            5572825\nB_25              14773\nB_26               2917\nD_78             538165\nD_79              90947\nR_8                   0\nR_9            10788361\nS_16                  0\nD_80              40673\nR_10                  0\nR_11                  0\nB_27               2917\nD_81              28487\nD_82            8452621\nS_17              12535\nR_12                  0\nB_28                  0\nR_13                  0\nD_83             288272\nR_14                  0\nR_15                  0\nD_84              30521\nR_16                  0\nB_29            8527163\nB_30               2917\nS_18                  0\nD_86               1067\nD_87           11352790\nR_17                  0\nR_18                  0\nD_88           11352497\nB_31                  0\nS_19                  0\nR_19                  0\nB_32                  0\nS_20                  0\nR_20                  0\nR_21                  0\nB_33               2917\nD_89              30521\nR_22                  0\nR_23                  0\nD_91             440397\nD_92                  0\nD_93                  0\nD_94                  0\nR_24                  0\nR_25                  0\nD_96                  0\nS_22              61208\nS_23               1541\nS_24              60156\nS_25              26312\nS_26               3766\nD_102             23790\nD_103             97700\nD_104             97700\nD_105           6068201\nD_106          10011090\nD_107             97700\nB_36                  0\nB_37               2020\nR_26            9773216\nR_27             663504\nB_38               2917\nD_108          11295987\nD_109              6683\nD_110          11247468\nD_111          11247468\nB_39           11226171\nD_112              6683\nB_40               2003\nS_27            2500275\nD_113            284241\nD_114            284241\nD_115            284241\nD_116            284241\nD_117            284241\nD_118            284241\nD_119            284241\nD_120            284241\nD_121            284241\nD_122            284241\nD_123            284241\nD_124            284241\nD_125            284241\nD_126             82401\nD_127                 0\nD_128             97700\nD_129             97700\nB_41               3766\nB_42           11162444\nD_130             97700\nD_131             97700\nD_132          10008918\nD_133             27994\nR_28                  0\nD_134          11001717\nD_135          11001717\nD_136          11001717\nD_137          11001717\nD_138          11001717\nD_139             97700\nD_140             23753\nD_141             97700\nD_142           9396967\nD_143             97700\nD_144             23840\nD_145             97700\ndtype: int64"},"metadata":{}}]},{"cell_type":"code","source":"train.info()","metadata":{"execution":{"iopub.status.busy":"2024-08-18T22:59:36.185959Z","iopub.execute_input":"2024-08-18T22:59:36.186318Z","iopub.status.idle":"2024-08-18T22:59:36.224443Z","shell.execute_reply.started":"2024-08-18T22:59:36.186288Z","shell.execute_reply":"2024-08-18T22:59:36.223157Z"},"trusted":true},"execution_count":9,"outputs":[{"name":"stdout","text":"<class 'pandas.core.frame.DataFrame'>\nIndex: 5531451 entries, 0 to 5531450\nColumns: 191 entries, customer_ID to target\ndtypes: float32(185), int64(2), object(4)\nmemory usage: 4.1+ GB\n","output_type":"stream"}]},{"cell_type":"code","source":"train.describe()","metadata":{"execution":{"iopub.status.busy":"2024-08-18T22:59:36.226086Z","iopub.execute_input":"2024-08-18T22:59:36.226512Z","iopub.status.idle":"2024-08-18T23:00:19.420512Z","shell.execute_reply.started":"2024-08-18T22:59:36.226462Z","shell.execute_reply":"2024-08-18T23:00:19.419422Z"},"trusted":true},"execution_count":10,"outputs":[{"execution_count":10,"output_type":"execute_result","data":{"text/plain":"                P_2          D_39           B_1           B_2           R_1           S_3          D_41           B_3           D_42          D_43          D_44           B_4          D_45           B_5           R_2          D_46          D_47          D_48          D_49           B_6           B_7           B_8          D_50          D_51           B_9           R_3          D_52           P_3          B_10          D_53           S_5          B_11           S_6          D_54           R_4           S_7          B_12           S_8          D_55          D_56          B_13           R_5          D_58           S_9          B_14          D_59          D_60          D_61          B_15          S_11          D_62          D_65          B_16          B_17          B_18          B_19           D_66          B_20          D_68          S_12           R_6          S_13          B_21          D_69          B_22          D_70          D_71          D_72          S_15          B_23  \\\ncount  5.485466e+06  5.531451e+06  5.531451e+06  5.529435e+06  5.531451e+06  4.510907e+06  5.529435e+06  5.529435e+06  791314.000000  3.873055e+06  5.257132e+06  5.531451e+06  5.529434e+06  5.531451e+06  5.531451e+06  4.319752e+06  5.531451e+06  4.812726e+06  5.455340e+05  5.531218e+06  5.531451e+06  5.509183e+06  2.389049e+06  5.531451e+06  5.531451e+06  5.531451e+06  5.501888e+06  5.229959e+06  5.531451e+06  1.446866e+06  5.531451e+06  5.531451e+06  5.531451e+06  5.529435e+06  5.531451e+06  4.510907e+06  5.531451e+06  5.531451e+06  5.346648e+06  2.540508e+06  5.481932e+06  5.531451e+06  5.531451e+06  2.597808e+06  5.531451e+06  5.424726e+06  5.531451e+06  4.933399e+06  5.524528e+06  5.531451e+06  4.773290e+06  5.531451e+06  5.529435e+06  2.393853e+06  5.531451e+06  5.529435e+06  623354.000000  5.529435e+06  5.314948e+06  5.531451e+06  5.531451e+06  5.531451e+06  5.531451e+06  5.336978e+06  5.529435e+06  5.436534e+06  5.531451e+06  5.507743e+06  5.531451e+06  5.531451e+06   \nmean   6.563343e-01  1.531172e-01  1.240101e-01  6.214890e-01  7.880273e-02  2.258454e-01  5.978473e-02  1.325390e-01       0.184974  1.546841e-01  1.184431e-01  1.725543e-01  2.521866e-01  8.311187e-02  4.751791e-02  4.754784e-01  4.071096e-01  3.816244e-01  1.919254e-01  1.521173e-01  1.860835e-01  4.505811e-01  1.744348e-01  1.450789e-01  1.895235e-01  1.208287e-01  1.800505e-01  6.012886e-01  2.316002e-01  7.618338e-02  8.810536e-02  1.109685e-01  2.441923e-01  9.846390e-01  3.120413e-02  2.231380e-01  9.369955e-02  3.275998e-01  2.980905e-01  2.037095e-01  1.007155e-01  3.459406e-02  2.155313e-01  7.441475e-02  1.011546e-01  3.624226e-01  3.761549e-01  4.296289e-01  5.280756e-02  3.753335e-01  1.906619e-01  3.976370e-02  3.486763e-01  7.152397e-01  5.962380e-01  1.501351e-01       0.989913  2.363042e-01  5.012030e+00  2.404628e-01  5.853071e-02  2.546720e-01  5.315427e-02  1.540407e-01  1.072334e-01  1.105738e-01  7.083229e-02  3.756611e-02  3.747913e-01  1.714804e-01   \nstd    2.446494e-01  2.700709e-01  2.119869e-01  4.014876e-01  2.263971e-01  1.933475e-01  2.025443e-01  2.349929e-01       0.228185  2.133977e-01  2.213035e-01  2.224149e-01  2.426829e-01  3.970432e-01  2.017843e-01  1.698931e-01  2.347989e-01  3.264793e-01  2.783910e-01  1.476770e+00  2.304195e-01  4.969413e-01  6.337476e-01  2.423309e-01  2.862744e-01  2.105157e-01  1.738649e-01  1.707992e-01  4.799846e+00  2.026925e-01  4.074052e-01  2.082563e-01  4.265999e-01  1.411058e-01  1.597703e-01  2.063030e-01  8.204270e-01  3.030894e-01  2.887424e-01  2.121586e-01  5.593840e-01  2.568067e-01  2.604405e-01  1.959977e-01  2.835833e-01  1.931294e-01  3.718325e-01  5.245269e-01  3.005498e-01  1.910100e-01  2.302575e-01  4.730981e-01  4.023606e-01  3.866728e-01  3.656087e-01  2.896169e-01       0.099928  3.737005e-01  1.351339e+00  2.507191e-01  6.415658e-01  2.966695e-01  7.196355e-01  1.600965e+01  2.232634e-01  2.277415e-01  3.260109e-01  2.029198e-01  1.950984e-01  2.293527e-01   \nmin   -4.589548e-01  5.026190e-09 -7.588799e+00  9.192280e-09  1.534223e-09 -6.271321e-01  5.566545e-10  6.285293e-09      -0.000454  1.154550e-07  5.153088e-10  3.099332e-09  1.563241e-08  2.804822e-11  8.265748e-10 -1.728934e+01 -2.662164e-02 -9.615277e-03  5.021298e-07 -5.178168e-03 -2.652749e+00  1.153704e-08 -3.064871e+02  3.551497e-10  6.726070e-09  2.238322e-09 -7.083110e-03 -1.519690e+00 -2.958481e-03  5.678129e-08  8.168135e-09  2.017814e-08  2.541465e-09 -2.005767e-03  4.024685e-10 -4.701318e-01  3.343624e-08  6.187214e-09  2.353218e-08 -1.708915e-02  1.905850e-08  1.154589e-09  4.968945e-09  2.823498e-07 -8.469853e+00 -1.024301e-01  5.905030e-09 -9.259018e-03 -1.000805e+01 -1.999987e-01 -2.822135e-03  3.539404e-09  7.813820e-10  3.774555e-08  5.891222e-08  1.573038e-09       0.000000  1.218623e-09  0.000000e+00 -4.041090e-01  4.650681e-10  3.655658e-09  4.426753e-09  6.051601e-09  2.056148e-09  6.623321e-10  3.026939e-09  3.381434e-10 -2.999998e-01  4.352963e-08   \n25%    4.803307e-01  4.528464e-03  8.863645e-03  1.053313e-01  2.895934e-03  1.272588e-01  2.873244e-03  5.227570e-03       0.037516  4.227546e-02  3.832838e-03  2.750011e-02  5.462902e-02  7.280386e-03  2.613008e-03  4.251277e-01  2.323514e-01  8.100685e-02  6.158435e-02  2.048716e-02  2.824729e-02  4.506935e-03  6.476120e-02  3.644930e-03  5.752602e-03  4.700085e-03  7.387472e-02  5.408657e-01  2.899070e-02  6.171486e-03  5.636077e-03  6.602670e-03  3.285294e-03  1.002341e+00  2.565920e-03  9.372874e-02  1.086972e-02  7.645077e-03  5.701689e-02  8.700979e-02  9.255422e-03  2.575087e-03  5.858120e-03  9.789102e-03  8.151003e-03  2.348764e-01  3.227373e-02  9.247558e-02  3.139858e-03  2.824439e-01  3.101255e-02  2.611131e-03  6.237099e-03  4.800441e-01  2.067308e-01  3.455325e-03       1.000000  4.038402e-03  4.000000e+00  1.868979e-01  2.592271e-03  4.894502e-03  2.550872e-03  2.585181e-03  3.080827e-03  3.398316e-03  8.633795e-03  2.624563e-03  2.075500e-01  1.747994e-02   \n50%    6.942950e-01  9.056902e-03  3.132968e-02  8.143328e-01  5.782230e-03  1.639082e-01  5.746725e-03  9.777229e-03       0.120519  8.851244e-02  7.668474e-03  8.222598e-02  1.808053e-01  1.537682e-02  5.223076e-03  4.596702e-01  3.831664e-01  2.861716e-01  1.303682e-01  8.338487e-02  7.574612e-02  9.020668e-03  1.094135e-01  7.282917e-03  2.587759e-02  9.400615e-03  1.444321e-01  6.183025e-01  1.105554e-01  1.337968e-02  1.352057e-02  1.945133e-02  6.573143e-03  1.004893e+00  5.132659e-03  1.397011e-01  1.944087e-02  3.217483e-01  1.816685e-01  1.494290e-01  2.931426e-02  5.149018e-03  1.065893e-01  1.949362e-02  2.849409e-02  3.784090e-01  2.353444e-01  3.722664e-01  6.234544e-03  2.897305e-01  9.443575e-02  5.223146e-03  9.173869e-02  9.320872e-01  6.466326e-01  6.907869e-03       1.000000  8.074334e-03  6.000000e+00  1.908262e-01  5.186870e-03  9.796928e-03  5.101578e-03  5.166080e-03  6.160283e-03  6.787958e-03  1.279650e-02  5.250227e-03  4.018433e-01  5.951238e-02   \n75%    8.648159e-01  2.366407e-01  1.259019e-01  1.002403e+00  8.660590e-03  2.581017e-01  8.615665e-03  1.550507e-01       0.250869  1.843206e-01  1.319484e-01  2.388817e-01  3.733219e-01  5.371837e-02  7.837339e-03  5.174066e-01  5.615486e-01  6.693663e-01  2.467636e-01  1.919294e-01  2.709323e-01  1.004175e+00  1.869698e-01  3.360340e-01  3.342967e-01  2.003357e-01  2.331460e-01  6.838264e-01  2.955389e-01  4.987849e-02  7.132090e-02  1.019708e-01  9.858875e-03  1.007448e+00  7.700315e-03  2.954592e-01  6.913839e-02  4.949366e-01  5.012074e-01  2.496252e-01  8.941486e-02  7.721870e-03  3.726992e-01  5.322812e-02  1.003196e-01  4.678926e-01  7.036913e-01  7.745240e-01  9.289617e-03  4.487620e-01  2.844872e-01  7.835914e-03  7.565882e-01  1.002225e+00  1.003277e+00  9.546030e-02       1.000000  3.578489e-01  6.000000e+00  2.088756e-01  7.781599e-03  4.277199e-01  7.651583e-03  7.749850e-03  9.242110e-03  2.507828e-01  3.118547e-02  7.873465e-03  5.048339e-01  2.472314e-01   \nmax    1.010000e+00  5.389619e+00  1.324060e+00  1.010000e+00  3.256284e+00  5.482888e+00  8.988807e+00  1.625262e+00       4.191119  1.011162e+01  5.634724e+00  1.980329e+01  1.610002e+00  1.442070e+02  1.010000e+00  1.631990e+01  1.643096e+00  8.971425e+00  4.584012e+01  1.214517e+03  1.252750e+00  1.019079e+00  2.440427e+02  2.676606e+00  2.742486e+01  1.160260e+01  1.010000e+00  2.428051e+00  4.097441e+03  7.901939e+00  2.068753e+02  1.970375e+00  1.010000e+00  1.010000e+00  1.010000e+00  3.948271e+00  4.207490e+02  1.231413e+00  2.767759e+00  1.095651e+01  2.761778e+02  3.500452e+01  1.261945e+00  2.839635e+00  5.501152e+01  2.153332e+00  1.010000e+00  8.685154e+02  6.503743e+01  3.801432e+00  1.110095e+01  3.859016e+02  1.010000e+00  1.010000e+00  1.010000e+00  1.010000e+00       1.000000  1.010000e+00  6.000000e+00  1.753314e+02  1.444820e+01  1.010000e+00  2.882943e+02  1.300091e+04  3.507759e+00  7.004608e+00  6.703231e+01  3.010000e+00  5.308959e+00  1.693098e+00   \n\n               D_73           P_4          D_74          D_75          D_76          B_24           R_7          D_77          B_25          B_26          D_78          D_79           R_8           R_9          S_16          D_80          R_10          R_11          B_27          D_81          D_82          S_17          R_12          B_28          R_13          D_83          R_14          R_15          D_84          R_16          B_29          B_30          S_18          D_86    D_87          R_17          R_18         D_88          B_31          S_19          R_19          B_32          S_20          R_20          R_21          B_33          D_89          R_22          R_23          D_91          D_92          D_93          D_94          R_24          R_25          D_96          S_22          S_23          S_24          S_25          S_26         D_102         D_103         D_104         D_105         D_106         D_107          B_36          B_37          R_26          R_27  \\\ncount  55856.000000  5.531451e+06  5.509678e+06  5.531451e+06  6.224970e+05  5.531451e+06  5.531450e+06  3.017539e+06  5.524528e+06  5.529435e+06  5.257132e+06  5.455512e+06  5.531451e+06  3.125330e+05  5.531451e+06  5.509678e+06  5.531451e+06  5.531451e+06  5.529435e+06  5.505764e+06  1.472837e+06  5.531451e+06  5.531395e+06  5.531451e+06  5.531451e+06  5.336978e+06  5.531450e+06  5.531451e+06  5.501888e+06  5.531451e+06  3.814160e+05  5.529435e+06  5.531451e+06  5.531451e+06  3865.0  5.531451e+06  5.531451e+06  6004.000000  5.531451e+06  5.531451e+06  5.531451e+06  5.531451e+06  5.531451e+06  5.531376e+06  5.531451e+06  5.529435e+06  5.501888e+06  5.531451e+06  5.531451e+06  5.374235e+06  5.531451e+06  5.531451e+06  5.531451e+06  5.531451e+06  5.531451e+06  5.531451e+06  5.512427e+06  5.531006e+06  5.512858e+06  5.518604e+06  5.530817e+06  5.490796e+06  5.429903e+06  5.429903e+06  2.510020e+06  5.413490e+05  5.429903e+06  5.531451e+06  5.531395e+06  6.093050e+05  5.402748e+06   \nmean       0.156493  1.439271e-01  1.534933e-01  1.711994e-01  1.405047e-01  3.965137e-02  8.806447e-02  2.565560e-01  1.038704e-01  9.062000e-02  6.261218e-02  6.912670e-02  3.812034e-02  2.298897e-01  5.081591e-02  1.120091e-01  6.477524e-02  5.083077e-02  5.008232e-03  5.491777e-02  4.577110e-01  3.972028e-02  9.792206e-01  1.545279e-01  5.479773e-03  4.093297e-02  2.414380e-01  2.028242e-02  4.474851e-02  5.853862e-02  3.299849e-02  1.579888e-01  3.146582e-02  3.749743e-02     1.0  5.318526e-03  5.008656e-03     0.172304  9.969435e-01  5.025947e-03  2.269557e-02  2.741511e-02  1.748739e-02  3.694554e-02  2.160975e-02  6.121952e-01  6.448086e-03  8.604037e-03  5.296269e-03  6.220702e-02  9.101938e-02  1.510617e-02  2.227300e-02  1.891781e-02  8.205677e-03  3.571873e-02  7.791036e-01  1.796775e-01  7.349204e-01  9.250376e-01  6.683999e-02  1.898366e-01  4.672621e-01  4.506291e-01  3.701222e-01  2.052421e-01  2.068964e-01  6.359809e-03  1.231896e-01  8.464977e-02  8.936940e-01   \nstd        0.204952  3.382721e-01  2.191907e-01  2.242142e-01  2.901273e-01  3.172191e-01  1.550873e+00  2.326449e-01  2.087053e-01  2.588205e+00  2.593386e-01  2.201319e-01  3.036416e-01  1.891741e-01  7.724871e-01  2.147461e-01  3.056937e-01  1.756224e-01  3.011975e-03  3.399970e-01  1.899956e-01  2.410227e-01  1.537445e-01  2.275020e-01  7.279533e-03  3.059534e-01  8.356452e+00  1.227099e-01  2.850662e-01  2.392474e-01  2.765134e-01  3.909677e-01  1.605456e-01  1.773409e-01     0.0  6.380480e-03  3.240295e-03     0.218063  5.520127e-02  3.069175e-03  1.318707e-01  1.480568e-01  1.110884e-01  3.780643e-01  1.278468e-01  4.883837e-01  1.902708e-02  6.000691e-02  1.743741e-02  1.864340e-01  2.936208e-01  1.000588e-01  1.303137e-01  1.171877e-01  5.660054e-02  1.725806e-01  7.187471e-01  8.519580e-01  8.356727e-01  2.068055e-01  4.638081e-01  2.748047e-01  4.985823e-01  4.807409e-01  2.505208e-01  1.257595e+00  2.572546e-01  2.123930e-02  2.117770e-01  2.443295e-01  3.123073e-01   \nmin       -0.045261  2.668066e-09  2.137169e-09  1.120811e-09  3.128482e-07  1.820939e-09  8.676290e-10  2.678714e-08 -1.125358e+01  1.691721e-09  6.210012e-10  1.438067e-10  1.738091e-09  3.121485e-07  5.083304e-09  1.890425e-09  2.233250e-09  8.363790e-10  1.044159e-09  5.759929e-10  3.813199e-08  1.019806e-09 -9.179347e-02 -2.160207e-05  2.894743e-09  5.042657e-09  6.702420e-10  3.588444e-10  1.190379e-09  5.660560e-10  2.146359e-08  0.000000e+00  4.075928e-11  7.226234e-11     1.0  1.066114e-09  2.170287e-09    -0.000032  0.000000e+00  3.156390e-09  1.954925e-09  2.098142e-09  6.887991e-10  4.972086e-09  3.646872e-09  2.147189e-10  2.014300e-10  9.576147e-10  8.443201e-10  1.117682e-09  2.088378e-09  6.382819e-09  9.098536e-10  6.570262e-10  4.640562e-11  2.677825e-10 -9.199815e+01 -2.060855e+02 -9.048383e+01 -2.453451e+00  5.137101e-09  9.620587e-10  1.025806e-09  2.869108e-09 -2.640482e-02  7.532992e-08  6.403922e-09  1.160856e-09 -7.604273e+00  2.970700e-08 -2.571099e-02   \n25%        0.056187  2.924059e-03  5.887432e-03  6.720455e-03  1.534821e-02  2.587743e-03  2.568756e-03  7.946026e-02  5.964626e-03  2.620160e-03  2.700048e-03  2.777576e-03  2.553690e-03  1.691219e-01  2.553210e-03  3.621738e-03  2.624501e-03  2.707382e-03  2.502497e-03  2.584436e-03  5.015002e-01  2.686053e-03  1.002284e+00  2.745631e-02  2.521217e-03  2.561606e-03  2.535147e-03  2.538874e-03  2.602661e-03  2.705823e-03  2.557025e-03  0.000000e+00  2.571063e-03  2.584600e-03     1.0  2.518641e-03  2.498538e-03     0.027192  1.000000e+00  2.504171e-03  2.548580e-03  2.555637e-03  2.532760e-03  2.537703e-03  2.536777e-03  6.361827e-03  2.524606e-03  2.505943e-03  2.502194e-03  2.773983e-03  2.722707e-03  2.525242e-03  2.545030e-03  2.535647e-03  2.509307e-03  2.579307e-03  8.111972e-01  1.334254e-01  8.094516e-01  9.708745e-01  3.413339e-03  4.453618e-03  4.645799e-03  4.654078e-03  1.706199e-01  5.172805e-02  4.647512e-03  2.513542e-03  8.834880e-03  5.244059e-03  1.001545e+00   \n50%        0.103089  5.848502e-03  7.570754e-02  7.436965e-02  5.874229e-02  5.174881e-03  5.135867e-03  2.058335e-01  1.985531e-02  5.237409e-03  5.395388e-03  5.555031e-03  5.105827e-03  1.727493e-01  5.104234e-03  7.247500e-03  5.247257e-03  5.413602e-03  5.004534e-03  5.168711e-03  5.044333e-01  5.367302e-03  1.004859e+00  7.706299e-02  5.043645e-03  5.121536e-03  5.069985e-03  5.078574e-03  5.206744e-03  5.410478e-03  5.088062e-03  0.000000e+00  5.134277e-03  5.167800e-03     1.0  5.030552e-03  4.999655e-03     0.085616  1.000000e+00  5.007637e-03  5.092067e-03  5.114076e-03  5.061884e-03  5.075566e-03  5.080965e-03  1.001767e+00  5.048758e-03  5.015861e-03  5.002915e-03  5.545980e-03  5.447958e-03  5.052575e-03  5.090312e-03  5.069786e-03  5.015866e-03  5.156619e-03  9.422135e-01  1.362231e-01  9.493249e-01  9.736766e-01  6.754730e-03  8.898508e-03  9.296491e-03  9.302054e-03  3.338462e-01  1.363444e-01  9.299602e-03  5.028643e-03  3.114089e-02  3.685061e-02  1.004365e+00   \n75%        0.174849  8.766024e-03  2.194434e-01  2.688564e-01  1.678398e-01  7.760693e-03  7.702539e-03  3.749256e-01  1.061590e-01  7.855688e-03  8.095952e-03  8.331476e-03  7.657797e-03  1.763400e-01  7.657400e-03  2.031722e-01  7.869666e-03  8.121441e-03  7.506658e-03  7.755538e-03  5.073687e-01  8.049988e-03  1.007424e+00  1.944009e-01  7.567901e-03  7.679788e-03  7.608542e-03  7.615540e-03  7.811827e-03  8.111589e-03  7.633992e-03  0.000000e+00  7.701028e-03  7.751853e-03     1.0  7.544346e-03  7.500095e-03     0.234028  1.000000e+00  7.510969e-03  7.634533e-03  7.674605e-03  7.592210e-03  7.614203e-03  7.624208e-03  1.005885e+00  7.570818e-03  7.524826e-03  7.501197e-03  8.317631e-03  8.171540e-03  7.578425e-03  7.632676e-03  7.604379e-03  7.524547e-03  7.736906e-03  9.647727e-01  1.390174e-01  9.715760e-01  9.764816e-01  1.103299e-02  3.278337e-01  1.004590e+00  9.644330e-01  5.256952e-01  2.626341e-01  3.394784e-01  7.542553e-03  1.238671e-01  7.713827e-02  1.007182e+00   \nmax        3.853647  1.269390e+00  4.509086e+00  4.275118e+00  1.513261e+01  4.660665e+01  4.499889e+02  1.022917e+01  1.569976e+01  1.499220e+03  1.600864e+01  1.800687e+01  3.800808e+01  1.510000e+00  2.317589e+02  8.009780e+00  2.100367e+01  1.250260e+01  1.005370e+00  8.009993e+00  3.008527e+00  4.049070e+00  1.010000e+00  2.553337e+01  1.005321e+00  3.800753e+01  4.837305e+03  1.010000e+00  2.900559e+01  1.850013e+01  1.202397e+01  2.000000e+00  1.010000e+00  1.010000e+00     1.0  1.001528e+00  1.000777e+00     2.669250  1.000000e+00  1.004730e+00  1.010000e+00  1.010000e+00  1.010000e+00  4.500603e+01  1.010000e+00  1.010000e+00  1.009996e+00  1.010000e+00  1.009985e+00  3.009737e+00  2.010000e+00  1.010000e+00  1.010000e+00  1.010000e+00  1.010000e+00  1.010000e+00  1.032727e+00  8.853349e+02  1.055638e+00  4.052048e+00  1.366660e+02  1.089998e+00  1.010000e+00  1.302976e+00  5.631732e+00  6.268292e+02  7.009004e+00  1.002340e+00  1.327812e+00  9.509053e+00  1.010000e+00   \n\n               B_38         D_108         D_109         D_110         D_111          B_39         D_112          B_40          S_27         D_113         D_114         D_115         D_116         D_117         D_118         D_119         D_120         D_121         D_122         D_123         D_124         D_125         D_126         D_127         D_128         D_129          B_41          B_42         D_130         D_131          D_132         D_133          R_28          D_134         D_135         D_136         D_137         D_138         D_139         D_140         D_141          D_142         D_143         D_144         D_145        target  \ncount  5.529435e+06  2.893800e+04  5.529854e+06  31334.000000  31334.000000  33632.000000  5.528801e+06  5.531398e+06  4.130516e+06  5.354735e+06  5.354735e+06  5.354735e+06  5.354735e+06  5.354735e+06  5.354735e+06  5.354735e+06  5.354735e+06  5.354735e+06  5.354735e+06  5.354735e+06  5.354735e+06  5.354735e+06  5.414635e+06  5.531451e+06  5.429903e+06  5.429903e+06  5.530761e+06  71478.000000  5.429903e+06  5.429903e+06  542577.000000  5.488735e+06  5.531451e+06  194699.000000  1.946990e+05  1.946990e+05  1.946990e+05  1.946990e+05  5.429903e+06  5.490819e+06  5.429903e+06  944408.000000  5.429903e+06  5.490724e+06  5.429903e+06  5.531451e+06  \nmean   2.716704e+00  7.148189e-02  6.660047e-03      0.739263      0.874545      0.255473  8.410445e-01  2.032608e-01  2.779785e-01  1.569559e-01  6.193542e-01  2.781286e-01  1.237410e-03  2.319057e+00  2.835119e-01  2.794083e-01  1.167214e-01  5.322440e-01  4.044235e-01  5.050567e-02  3.055478e-01  8.434255e-02  7.390186e-01  1.075479e-01  5.841210e-01  4.399480e-01  3.234880e-02      0.110038  2.016621e-01  1.033795e-01       0.210199  4.614353e-02  5.742027e-03       0.330082  2.997324e-02  2.427725e-01  1.424409e-02  1.646184e-01  1.789304e-01  2.664348e-02  1.645212e-01       0.390799  1.788023e-01  5.238953e-02  6.233494e-02  2.490972e-01  \nstd    1.581322e+00  3.217310e-01  4.080646e-02      0.308294      0.269492      0.297895  3.694077e-01  8.081345e+00  3.250327e-01  2.266650e-01  4.855457e-01  2.562120e-01  3.515507e-02  2.288730e+00  2.559502e-01  2.564670e-01  3.210880e-01  2.338079e-01  2.369062e-01  2.456041e-01  2.261268e-01  2.922580e-01  5.378084e-01  3.033793e-01  4.931497e-01  4.957559e-01  2.223059e-01      0.313704  3.974942e-01  2.953313e-01       0.247630  1.720901e-01  2.737901e-02       0.296216  1.561003e-01  2.101320e-01  9.571116e-02  2.670208e-01  3.790614e-01  1.455480e-01  3.482771e-01       0.236182  3.789498e-01  1.825135e-01  1.934937e-01  4.324903e-01  \nmin    1.000000e+00  3.917639e-07  3.119567e-10     -0.023750      0.000003     -0.979314  4.344640e-08  1.201275e-08  4.417077e-10  1.463474e-11  0.000000e+00  2.228054e-07  0.000000e+00 -1.000000e+00  2.551906e-08  7.076709e-08  0.000000e+00 -3.207547e-02  4.033095e-08  8.578643e-10 -4.545438e-02  4.410464e-09 -1.000000e+00  1.006008e-09  3.235349e-09  2.422876e-10  2.030713e-09      0.000003  6.097074e-11  5.173169e-10      -0.015102  6.380582e-10  1.097922e-09      -0.012444  5.008304e-08  6.316773e-08  1.078787e-08  3.307923e-08  3.767347e-10  3.725073e-09  1.650100e-10      -0.014539  5.549692e-09  2.500991e-09  1.226024e-09  0.000000e+00  \n25%    2.000000e+00  2.676816e-03  2.503555e-03      0.525457      1.000482      0.058394  1.001025e+00  1.739309e-02  6.364579e-03  4.352625e-03  0.000000e+00  6.258397e-02  0.000000e+00 -1.000000e+00  6.241067e-02  5.837902e-02  0.000000e+00  3.563471e-01  1.514714e-01  2.614415e-03  1.405611e-01  2.697240e-03  1.000000e+00  2.787533e-03  5.949431e-03  4.424397e-03  2.553868e-03      0.007260  3.113379e-03  2.780952e-03       0.073693  2.718821e-03  2.502250e-03       0.114126  2.551973e-03  9.314305e-03  2.532470e-03  3.517452e-03  3.027212e-03  2.555848e-03  3.026087e-03       0.199399  3.028116e-03  2.752895e-03  3.028347e-03  0.000000e+00  \n50%    2.000000e+00  5.350452e-03  5.009813e-03      0.878845      1.003683      0.149225  1.004013e+00  5.830858e-02  2.905143e-01  8.711394e-03  1.000000e+00  1.991381e-01  0.000000e+00  3.000000e+00  2.204558e-01  2.133946e-01  0.000000e+00  5.953797e-01  4.291804e-01  5.236194e-03  2.741950e-01  5.399487e-03  1.000000e+00  5.572430e-03  1.000419e+00  8.850723e-03  5.106535e-03      0.021599  6.224161e-03  5.560417e-03       0.161484  5.439861e-03  5.004332e-03       0.217769  5.109191e-03  2.539468e-01  5.069830e-03  7.037814e-03  6.053010e-03  5.110523e-03  6.051590e-03       0.382136  6.053151e-03  5.508129e-03  6.053247e-03  0.000000e+00  \n75%    3.000000e+00  7.955245e-03  7.513660e-03      1.003896      1.006830      0.291426  1.007006e+00  2.451545e-01  4.477965e-01  2.077554e-01  1.000000e+00  4.340722e-01  0.000000e+00  4.000000e+00  4.417185e-01  4.372384e-01  0.000000e+00  7.148844e-01  5.761250e-01  7.855672e-03  4.166305e-01  8.096403e-03  1.000000e+00  8.356926e-03  1.004735e+00  1.004246e+00  7.659996e-03      0.105613  9.334572e-03  8.334345e-03       0.278052  8.163446e-03  7.506120e-03       0.454186  7.684750e-03  2.582450e-01  7.573434e-03  5.015469e-01  9.080455e-03  7.663697e-03  9.078914e-03       0.559307  9.076287e-03  8.260448e-03  9.080930e-03  0.000000e+00  \nmax    7.000000e+00  9.008856e+00  1.010000e+00      1.010000      1.010000      2.060899  1.010000e+00  5.755076e+03  5.456269e+00  2.500756e+01  1.000000e+00  1.999540e+00  1.000000e+00  6.000000e+00  1.970907e+00  1.977007e+00  1.000000e+00  1.791115e+00  2.009276e+00  1.040062e+02  9.094335e+00  1.400848e+01  1.000000e+00  1.010000e+00  1.023472e+00  1.010000e+00  2.200488e+01      9.051837  1.028044e+00  1.491624e+00       6.039006  1.510000e+00  1.009996e+00       1.010000  1.009999e+00  1.759910e+00  1.009998e+00  3.005383e+00  1.010000e+00  1.010000e+00  1.339910e+00       2.229368  1.010000e+00  1.343331e+00  4.827630e+00  1.000000e+00  ","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>P_2</th>\n      <th>D_39</th>\n      <th>B_1</th>\n      <th>B_2</th>\n      <th>R_1</th>\n      <th>S_3</th>\n      <th>D_41</th>\n      <th>B_3</th>\n      <th>D_42</th>\n      <th>D_43</th>\n      <th>D_44</th>\n      <th>B_4</th>\n      <th>D_45</th>\n      <th>B_5</th>\n      <th>R_2</th>\n      <th>D_46</th>\n      <th>D_47</th>\n      <th>D_48</th>\n      <th>D_49</th>\n      <th>B_6</th>\n      <th>B_7</th>\n      <th>B_8</th>\n      <th>D_50</th>\n      <th>D_51</th>\n      <th>B_9</th>\n      <th>R_3</th>\n      <th>D_52</th>\n      <th>P_3</th>\n      <th>B_10</th>\n      <th>D_53</th>\n      <th>S_5</th>\n      <th>B_11</th>\n      <th>S_6</th>\n      <th>D_54</th>\n      <th>R_4</th>\n      <th>S_7</th>\n      <th>B_12</th>\n      <th>S_8</th>\n      <th>D_55</th>\n      <th>D_56</th>\n      <th>B_13</th>\n      <th>R_5</th>\n      <th>D_58</th>\n      <th>S_9</th>\n      <th>B_14</th>\n      <th>D_59</th>\n      <th>D_60</th>\n      <th>D_61</th>\n      <th>B_15</th>\n      <th>S_11</th>\n      <th>D_62</th>\n      <th>D_65</th>\n      <th>B_16</th>\n      <th>B_17</th>\n      <th>B_18</th>\n      <th>B_19</th>\n      <th>D_66</th>\n      <th>B_20</th>\n      <th>D_68</th>\n      <th>S_12</th>\n      <th>R_6</th>\n      <th>S_13</th>\n      <th>B_21</th>\n      <th>D_69</th>\n      <th>B_22</th>\n      <th>D_70</th>\n      <th>D_71</th>\n      <th>D_72</th>\n      <th>S_15</th>\n      <th>B_23</th>\n      <th>D_73</th>\n      <th>P_4</th>\n      <th>D_74</th>\n      <th>D_75</th>\n      <th>D_76</th>\n      <th>B_24</th>\n      <th>R_7</th>\n      <th>D_77</th>\n      <th>B_25</th>\n      <th>B_26</th>\n      <th>D_78</th>\n      <th>D_79</th>\n      <th>R_8</th>\n      <th>R_9</th>\n      <th>S_16</th>\n      <th>D_80</th>\n      <th>R_10</th>\n      <th>R_11</th>\n      <th>B_27</th>\n      <th>D_81</th>\n      <th>D_82</th>\n      <th>S_17</th>\n      <th>R_12</th>\n      <th>B_28</th>\n      <th>R_13</th>\n      <th>D_83</th>\n      <th>R_14</th>\n      <th>R_15</th>\n      <th>D_84</th>\n      <th>R_16</th>\n      <th>B_29</th>\n      <th>B_30</th>\n      <th>S_18</th>\n      <th>D_86</th>\n      <th>D_87</th>\n      <th>R_17</th>\n      <th>R_18</th>\n      <th>D_88</th>\n      <th>B_31</th>\n      <th>S_19</th>\n      <th>R_19</th>\n      <th>B_32</th>\n      <th>S_20</th>\n      <th>R_20</th>\n      <th>R_21</th>\n      <th>B_33</th>\n      <th>D_89</th>\n      <th>R_22</th>\n      <th>R_23</th>\n      <th>D_91</th>\n      <th>D_92</th>\n      <th>D_93</th>\n      <th>D_94</th>\n      <th>R_24</th>\n      <th>R_25</th>\n      <th>D_96</th>\n      <th>S_22</th>\n      <th>S_23</th>\n      <th>S_24</th>\n      <th>S_25</th>\n      <th>S_26</th>\n      <th>D_102</th>\n      <th>D_103</th>\n      <th>D_104</th>\n      <th>D_105</th>\n      <th>D_106</th>\n      <th>D_107</th>\n      <th>B_36</th>\n      <th>B_37</th>\n      <th>R_26</th>\n      <th>R_27</th>\n      <th>B_38</th>\n      <th>D_108</th>\n      <th>D_109</th>\n      <th>D_110</th>\n      <th>D_111</th>\n      <th>B_39</th>\n      <th>D_112</th>\n      <th>B_40</th>\n      <th>S_27</th>\n      <th>D_113</th>\n      <th>D_114</th>\n      <th>D_115</th>\n      <th>D_116</th>\n      <th>D_117</th>\n      <th>D_118</th>\n      <th>D_119</th>\n      <th>D_120</th>\n      <th>D_121</th>\n      <th>D_122</th>\n      <th>D_123</th>\n      <th>D_124</th>\n      <th>D_125</th>\n      <th>D_126</th>\n      <th>D_127</th>\n      <th>D_128</th>\n      <th>D_129</th>\n      <th>B_41</th>\n      <th>B_42</th>\n      <th>D_130</th>\n      <th>D_131</th>\n      <th>D_132</th>\n      <th>D_133</th>\n      <th>R_28</th>\n      <th>D_134</th>\n      <th>D_135</th>\n      <th>D_136</th>\n      <th>D_137</th>\n      <th>D_138</th>\n      <th>D_139</th>\n      <th>D_140</th>\n      <th>D_141</th>\n      <th>D_142</th>\n      <th>D_143</th>\n      <th>D_144</th>\n      <th>D_145</th>\n      <th>target</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>5.485466e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.529435e+06</td>\n      <td>5.531451e+06</td>\n      <td>4.510907e+06</td>\n      <td>5.529435e+06</td>\n      <td>5.529435e+06</td>\n      <td>791314.000000</td>\n      <td>3.873055e+06</td>\n      <td>5.257132e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.529434e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>4.319752e+06</td>\n      <td>5.531451e+06</td>\n      <td>4.812726e+06</td>\n      <td>5.455340e+05</td>\n      <td>5.531218e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.509183e+06</td>\n      <td>2.389049e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.501888e+06</td>\n      <td>5.229959e+06</td>\n      <td>5.531451e+06</td>\n      <td>1.446866e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.529435e+06</td>\n      <td>5.531451e+06</td>\n      <td>4.510907e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.346648e+06</td>\n      <td>2.540508e+06</td>\n      <td>5.481932e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>2.597808e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.424726e+06</td>\n      <td>5.531451e+06</td>\n      <td>4.933399e+06</td>\n      <td>5.524528e+06</td>\n      <td>5.531451e+06</td>\n      <td>4.773290e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.529435e+06</td>\n      <td>2.393853e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.529435e+06</td>\n      <td>623354.000000</td>\n      <td>5.529435e+06</td>\n      <td>5.314948e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.336978e+06</td>\n      <td>5.529435e+06</td>\n      <td>5.436534e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.507743e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>55856.000000</td>\n      <td>5.531451e+06</td>\n      <td>5.509678e+06</td>\n      <td>5.531451e+06</td>\n      <td>6.224970e+05</td>\n      <td>5.531451e+06</td>\n      <td>5.531450e+06</td>\n      <td>3.017539e+06</td>\n      <td>5.524528e+06</td>\n      <td>5.529435e+06</td>\n      <td>5.257132e+06</td>\n      <td>5.455512e+06</td>\n      <td>5.531451e+06</td>\n      <td>3.125330e+05</td>\n      <td>5.531451e+06</td>\n      <td>5.509678e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.529435e+06</td>\n      <td>5.505764e+06</td>\n      <td>1.472837e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531395e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.336978e+06</td>\n      <td>5.531450e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.501888e+06</td>\n      <td>5.531451e+06</td>\n      <td>3.814160e+05</td>\n      <td>5.529435e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>3865.0</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>6004.000000</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531376e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.529435e+06</td>\n      <td>5.501888e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.374235e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.512427e+06</td>\n      <td>5.531006e+06</td>\n      <td>5.512858e+06</td>\n      <td>5.518604e+06</td>\n      <td>5.530817e+06</td>\n      <td>5.490796e+06</td>\n      <td>5.429903e+06</td>\n      <td>5.429903e+06</td>\n      <td>2.510020e+06</td>\n      <td>5.413490e+05</td>\n      <td>5.429903e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.531395e+06</td>\n      <td>6.093050e+05</td>\n      <td>5.402748e+06</td>\n      <td>5.529435e+06</td>\n      <td>2.893800e+04</td>\n      <td>5.529854e+06</td>\n      <td>31334.000000</td>\n      <td>31334.000000</td>\n      <td>33632.000000</td>\n      <td>5.528801e+06</td>\n      <td>5.531398e+06</td>\n      <td>4.130516e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.354735e+06</td>\n      <td>5.414635e+06</td>\n      <td>5.531451e+06</td>\n      <td>5.429903e+06</td>\n      <td>5.429903e+06</td>\n      <td>5.530761e+06</td>\n      <td>71478.000000</td>\n      <td>5.429903e+06</td>\n      <td>5.429903e+06</td>\n      <td>542577.000000</td>\n      <td>5.488735e+06</td>\n      <td>5.531451e+06</td>\n      <td>194699.000000</td>\n      <td>1.946990e+05</td>\n      <td>1.946990e+05</td>\n      <td>1.946990e+05</td>\n      <td>1.946990e+05</td>\n      <td>5.429903e+06</td>\n      <td>5.490819e+06</td>\n      <td>5.429903e+06</td>\n      <td>944408.000000</td>\n      <td>5.429903e+06</td>\n      <td>5.490724e+06</td>\n      <td>5.429903e+06</td>\n      <td>5.531451e+06</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>6.563343e-01</td>\n      <td>1.531172e-01</td>\n      <td>1.240101e-01</td>\n      <td>6.214890e-01</td>\n      <td>7.880273e-02</td>\n      <td>2.258454e-01</td>\n      <td>5.978473e-02</td>\n      <td>1.325390e-01</td>\n      <td>0.184974</td>\n      <td>1.546841e-01</td>\n      <td>1.184431e-01</td>\n      <td>1.725543e-01</td>\n      <td>2.521866e-01</td>\n      <td>8.311187e-02</td>\n      <td>4.751791e-02</td>\n      <td>4.754784e-01</td>\n      <td>4.071096e-01</td>\n      <td>3.816244e-01</td>\n      <td>1.919254e-01</td>\n      <td>1.521173e-01</td>\n      <td>1.860835e-01</td>\n      <td>4.505811e-01</td>\n      <td>1.744348e-01</td>\n      <td>1.450789e-01</td>\n      <td>1.895235e-01</td>\n      <td>1.208287e-01</td>\n      <td>1.800505e-01</td>\n      <td>6.012886e-01</td>\n      <td>2.316002e-01</td>\n      <td>7.618338e-02</td>\n      <td>8.810536e-02</td>\n      <td>1.109685e-01</td>\n      <td>2.441923e-01</td>\n      <td>9.846390e-01</td>\n      <td>3.120413e-02</td>\n      <td>2.231380e-01</td>\n      <td>9.369955e-02</td>\n      <td>3.275998e-01</td>\n      <td>2.980905e-01</td>\n      <td>2.037095e-01</td>\n      <td>1.007155e-01</td>\n      <td>3.459406e-02</td>\n      <td>2.155313e-01</td>\n      <td>7.441475e-02</td>\n      <td>1.011546e-01</td>\n      <td>3.624226e-01</td>\n      <td>3.761549e-01</td>\n      <td>4.296289e-01</td>\n      <td>5.280756e-02</td>\n      <td>3.753335e-01</td>\n      <td>1.906619e-01</td>\n      <td>3.976370e-02</td>\n      <td>3.486763e-01</td>\n      <td>7.152397e-01</td>\n      <td>5.962380e-01</td>\n      <td>1.501351e-01</td>\n      <td>0.989913</td>\n      <td>2.363042e-01</td>\n      <td>5.012030e+00</td>\n      <td>2.404628e-01</td>\n      <td>5.853071e-02</td>\n      <td>2.546720e-01</td>\n      <td>5.315427e-02</td>\n      <td>1.540407e-01</td>\n      <td>1.072334e-01</td>\n      <td>1.105738e-01</td>\n      <td>7.083229e-02</td>\n      <td>3.756611e-02</td>\n      <td>3.747913e-01</td>\n      <td>1.714804e-01</td>\n      <td>0.156493</td>\n      <td>1.439271e-01</td>\n      <td>1.534933e-01</td>\n      <td>1.711994e-01</td>\n      <td>1.405047e-01</td>\n      <td>3.965137e-02</td>\n      <td>8.806447e-02</td>\n      <td>2.565560e-01</td>\n      <td>1.038704e-01</td>\n      <td>9.062000e-02</td>\n      <td>6.261218e-02</td>\n      <td>6.912670e-02</td>\n      <td>3.812034e-02</td>\n      <td>2.298897e-01</td>\n      <td>5.081591e-02</td>\n      <td>1.120091e-01</td>\n      <td>6.477524e-02</td>\n      <td>5.083077e-02</td>\n      <td>5.008232e-03</td>\n      <td>5.491777e-02</td>\n      <td>4.577110e-01</td>\n      <td>3.972028e-02</td>\n      <td>9.792206e-01</td>\n      <td>1.545279e-01</td>\n      <td>5.479773e-03</td>\n      <td>4.093297e-02</td>\n      <td>2.414380e-01</td>\n      <td>2.028242e-02</td>\n      <td>4.474851e-02</td>\n      <td>5.853862e-02</td>\n      <td>3.299849e-02</td>\n      <td>1.579888e-01</td>\n      <td>3.146582e-02</td>\n      <td>3.749743e-02</td>\n      <td>1.0</td>\n      <td>5.318526e-03</td>\n      <td>5.008656e-03</td>\n      <td>0.172304</td>\n      <td>9.969435e-01</td>\n      <td>5.025947e-03</td>\n      <td>2.269557e-02</td>\n      <td>2.741511e-02</td>\n      <td>1.748739e-02</td>\n      <td>3.694554e-02</td>\n      <td>2.160975e-02</td>\n      <td>6.121952e-01</td>\n      <td>6.448086e-03</td>\n      <td>8.604037e-03</td>\n      <td>5.296269e-03</td>\n      <td>6.220702e-02</td>\n      <td>9.101938e-02</td>\n      <td>1.510617e-02</td>\n      <td>2.227300e-02</td>\n      <td>1.891781e-02</td>\n      <td>8.205677e-03</td>\n      <td>3.571873e-02</td>\n      <td>7.791036e-01</td>\n      <td>1.796775e-01</td>\n      <td>7.349204e-01</td>\n      <td>9.250376e-01</td>\n      <td>6.683999e-02</td>\n      <td>1.898366e-01</td>\n      <td>4.672621e-01</td>\n      <td>4.506291e-01</td>\n      <td>3.701222e-01</td>\n      <td>2.052421e-01</td>\n      <td>2.068964e-01</td>\n      <td>6.359809e-03</td>\n      <td>1.231896e-01</td>\n      <td>8.464977e-02</td>\n      <td>8.936940e-01</td>\n      <td>2.716704e+00</td>\n      <td>7.148189e-02</td>\n      <td>6.660047e-03</td>\n      <td>0.739263</td>\n      <td>0.874545</td>\n      <td>0.255473</td>\n      <td>8.410445e-01</td>\n      <td>2.032608e-01</td>\n      <td>2.779785e-01</td>\n      <td>1.569559e-01</td>\n      <td>6.193542e-01</td>\n      <td>2.781286e-01</td>\n      <td>1.237410e-03</td>\n      <td>2.319057e+00</td>\n      <td>2.835119e-01</td>\n      <td>2.794083e-01</td>\n      <td>1.167214e-01</td>\n      <td>5.322440e-01</td>\n      <td>4.044235e-01</td>\n      <td>5.050567e-02</td>\n      <td>3.055478e-01</td>\n      <td>8.434255e-02</td>\n      <td>7.390186e-01</td>\n      <td>1.075479e-01</td>\n      <td>5.841210e-01</td>\n      <td>4.399480e-01</td>\n      <td>3.234880e-02</td>\n      <td>0.110038</td>\n      <td>2.016621e-01</td>\n      <td>1.033795e-01</td>\n      <td>0.210199</td>\n      <td>4.614353e-02</td>\n      <td>5.742027e-03</td>\n      <td>0.330082</td>\n      <td>2.997324e-02</td>\n      <td>2.427725e-01</td>\n      <td>1.424409e-02</td>\n      <td>1.646184e-01</td>\n      <td>1.789304e-01</td>\n      <td>2.664348e-02</td>\n      <td>1.645212e-01</td>\n      <td>0.390799</td>\n      <td>1.788023e-01</td>\n      <td>5.238953e-02</td>\n      <td>6.233494e-02</td>\n      <td>2.490972e-01</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>2.446494e-01</td>\n      <td>2.700709e-01</td>\n      <td>2.119869e-01</td>\n      <td>4.014876e-01</td>\n      <td>2.263971e-01</td>\n      <td>1.933475e-01</td>\n      <td>2.025443e-01</td>\n      <td>2.349929e-01</td>\n      <td>0.228185</td>\n      <td>2.133977e-01</td>\n      <td>2.213035e-01</td>\n      <td>2.224149e-01</td>\n      <td>2.426829e-01</td>\n      <td>3.970432e-01</td>\n      <td>2.017843e-01</td>\n      <td>1.698931e-01</td>\n      <td>2.347989e-01</td>\n      <td>3.264793e-01</td>\n      <td>2.783910e-01</td>\n      <td>1.476770e+00</td>\n      <td>2.304195e-01</td>\n      <td>4.969413e-01</td>\n      <td>6.337476e-01</td>\n      <td>2.423309e-01</td>\n      <td>2.862744e-01</td>\n      <td>2.105157e-01</td>\n      <td>1.738649e-01</td>\n      <td>1.707992e-01</td>\n      <td>4.799846e+00</td>\n      <td>2.026925e-01</td>\n      <td>4.074052e-01</td>\n      <td>2.082563e-01</td>\n      <td>4.265999e-01</td>\n      <td>1.411058e-01</td>\n      <td>1.597703e-01</td>\n      <td>2.063030e-01</td>\n      <td>8.204270e-01</td>\n      <td>3.030894e-01</td>\n      <td>2.887424e-01</td>\n      <td>2.121586e-01</td>\n      <td>5.593840e-01</td>\n      <td>2.568067e-01</td>\n      <td>2.604405e-01</td>\n      <td>1.959977e-01</td>\n      <td>2.835833e-01</td>\n      <td>1.931294e-01</td>\n      <td>3.718325e-01</td>\n      <td>5.245269e-01</td>\n      <td>3.005498e-01</td>\n      <td>1.910100e-01</td>\n      <td>2.302575e-01</td>\n      <td>4.730981e-01</td>\n      <td>4.023606e-01</td>\n      <td>3.866728e-01</td>\n      <td>3.656087e-01</td>\n      <td>2.896169e-01</td>\n      <td>0.099928</td>\n      <td>3.737005e-01</td>\n      <td>1.351339e+00</td>\n      <td>2.507191e-01</td>\n      <td>6.415658e-01</td>\n      <td>2.966695e-01</td>\n      <td>7.196355e-01</td>\n      <td>1.600965e+01</td>\n      <td>2.232634e-01</td>\n      <td>2.277415e-01</td>\n      <td>3.260109e-01</td>\n      <td>2.029198e-01</td>\n      <td>1.950984e-01</td>\n      <td>2.293527e-01</td>\n      <td>0.204952</td>\n      <td>3.382721e-01</td>\n      <td>2.191907e-01</td>\n      <td>2.242142e-01</td>\n      <td>2.901273e-01</td>\n      <td>3.172191e-01</td>\n      <td>1.550873e+00</td>\n      <td>2.326449e-01</td>\n      <td>2.087053e-01</td>\n      <td>2.588205e+00</td>\n      <td>2.593386e-01</td>\n      <td>2.201319e-01</td>\n      <td>3.036416e-01</td>\n      <td>1.891741e-01</td>\n      <td>7.724871e-01</td>\n      <td>2.147461e-01</td>\n      <td>3.056937e-01</td>\n      <td>1.756224e-01</td>\n      <td>3.011975e-03</td>\n      <td>3.399970e-01</td>\n      <td>1.899956e-01</td>\n      <td>2.410227e-01</td>\n      <td>1.537445e-01</td>\n      <td>2.275020e-01</td>\n      <td>7.279533e-03</td>\n      <td>3.059534e-01</td>\n      <td>8.356452e+00</td>\n      <td>1.227099e-01</td>\n      <td>2.850662e-01</td>\n      <td>2.392474e-01</td>\n      <td>2.765134e-01</td>\n      <td>3.909677e-01</td>\n      <td>1.605456e-01</td>\n      <td>1.773409e-01</td>\n      <td>0.0</td>\n      <td>6.380480e-03</td>\n      <td>3.240295e-03</td>\n      <td>0.218063</td>\n      <td>5.520127e-02</td>\n      <td>3.069175e-03</td>\n      <td>1.318707e-01</td>\n      <td>1.480568e-01</td>\n      <td>1.110884e-01</td>\n      <td>3.780643e-01</td>\n      <td>1.278468e-01</td>\n      <td>4.883837e-01</td>\n      <td>1.902708e-02</td>\n      <td>6.000691e-02</td>\n      <td>1.743741e-02</td>\n      <td>1.864340e-01</td>\n      <td>2.936208e-01</td>\n      <td>1.000588e-01</td>\n      <td>1.303137e-01</td>\n      <td>1.171877e-01</td>\n      <td>5.660054e-02</td>\n      <td>1.725806e-01</td>\n      <td>7.187471e-01</td>\n      <td>8.519580e-01</td>\n      <td>8.356727e-01</td>\n      <td>2.068055e-01</td>\n      <td>4.638081e-01</td>\n      <td>2.748047e-01</td>\n      <td>4.985823e-01</td>\n      <td>4.807409e-01</td>\n      <td>2.505208e-01</td>\n      <td>1.257595e+00</td>\n      <td>2.572546e-01</td>\n      <td>2.123930e-02</td>\n      <td>2.117770e-01</td>\n      <td>2.443295e-01</td>\n      <td>3.123073e-01</td>\n      <td>1.581322e+00</td>\n      <td>3.217310e-01</td>\n      <td>4.080646e-02</td>\n      <td>0.308294</td>\n      <td>0.269492</td>\n      <td>0.297895</td>\n      <td>3.694077e-01</td>\n      <td>8.081345e+00</td>\n      <td>3.250327e-01</td>\n      <td>2.266650e-01</td>\n      <td>4.855457e-01</td>\n      <td>2.562120e-01</td>\n      <td>3.515507e-02</td>\n      <td>2.288730e+00</td>\n      <td>2.559502e-01</td>\n      <td>2.564670e-01</td>\n      <td>3.210880e-01</td>\n      <td>2.338079e-01</td>\n      <td>2.369062e-01</td>\n      <td>2.456041e-01</td>\n      <td>2.261268e-01</td>\n      <td>2.922580e-01</td>\n      <td>5.378084e-01</td>\n      <td>3.033793e-01</td>\n      <td>4.931497e-01</td>\n      <td>4.957559e-01</td>\n      <td>2.223059e-01</td>\n      <td>0.313704</td>\n      <td>3.974942e-01</td>\n      <td>2.953313e-01</td>\n      <td>0.247630</td>\n      <td>1.720901e-01</td>\n      <td>2.737901e-02</td>\n      <td>0.296216</td>\n      <td>1.561003e-01</td>\n      <td>2.101320e-01</td>\n      <td>9.571116e-02</td>\n      <td>2.670208e-01</td>\n      <td>3.790614e-01</td>\n      <td>1.455480e-01</td>\n      <td>3.482771e-01</td>\n      <td>0.236182</td>\n      <td>3.789498e-01</td>\n      <td>1.825135e-01</td>\n      <td>1.934937e-01</td>\n      <td>4.324903e-01</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>-4.589548e-01</td>\n      <td>5.026190e-09</td>\n      <td>-7.588799e+00</td>\n      <td>9.192280e-09</td>\n      <td>1.534223e-09</td>\n      <td>-6.271321e-01</td>\n      <td>5.566545e-10</td>\n      <td>6.285293e-09</td>\n      <td>-0.000454</td>\n      <td>1.154550e-07</td>\n      <td>5.153088e-10</td>\n      <td>3.099332e-09</td>\n      <td>1.563241e-08</td>\n      <td>2.804822e-11</td>\n      <td>8.265748e-10</td>\n      <td>-1.728934e+01</td>\n      <td>-2.662164e-02</td>\n      <td>-9.615277e-03</td>\n      <td>5.021298e-07</td>\n      <td>-5.178168e-03</td>\n      <td>-2.652749e+00</td>\n      <td>1.153704e-08</td>\n      <td>-3.064871e+02</td>\n      <td>3.551497e-10</td>\n      <td>6.726070e-09</td>\n      <td>2.238322e-09</td>\n      <td>-7.083110e-03</td>\n      <td>-1.519690e+00</td>\n      <td>-2.958481e-03</td>\n      <td>5.678129e-08</td>\n      <td>8.168135e-09</td>\n      <td>2.017814e-08</td>\n      <td>2.541465e-09</td>\n      <td>-2.005767e-03</td>\n      <td>4.024685e-10</td>\n      <td>-4.701318e-01</td>\n      <td>3.343624e-08</td>\n      <td>6.187214e-09</td>\n      <td>2.353218e-08</td>\n      <td>-1.708915e-02</td>\n      <td>1.905850e-08</td>\n      <td>1.154589e-09</td>\n      <td>4.968945e-09</td>\n      <td>2.823498e-07</td>\n      <td>-8.469853e+00</td>\n      <td>-1.024301e-01</td>\n      <td>5.905030e-09</td>\n      <td>-9.259018e-03</td>\n      <td>-1.000805e+01</td>\n      <td>-1.999987e-01</td>\n      <td>-2.822135e-03</td>\n      <td>3.539404e-09</td>\n      <td>7.813820e-10</td>\n      <td>3.774555e-08</td>\n      <td>5.891222e-08</td>\n      <td>1.573038e-09</td>\n      <td>0.000000</td>\n      <td>1.218623e-09</td>\n      <td>0.000000e+00</td>\n      <td>-4.041090e-01</td>\n      <td>4.650681e-10</td>\n      <td>3.655658e-09</td>\n      <td>4.426753e-09</td>\n      <td>6.051601e-09</td>\n      <td>2.056148e-09</td>\n      <td>6.623321e-10</td>\n      <td>3.026939e-09</td>\n      <td>3.381434e-10</td>\n      <td>-2.999998e-01</td>\n      <td>4.352963e-08</td>\n      <td>-0.045261</td>\n      <td>2.668066e-09</td>\n      <td>2.137169e-09</td>\n      <td>1.120811e-09</td>\n      <td>3.128482e-07</td>\n      <td>1.820939e-09</td>\n      <td>8.676290e-10</td>\n      <td>2.678714e-08</td>\n      <td>-1.125358e+01</td>\n      <td>1.691721e-09</td>\n      <td>6.210012e-10</td>\n      <td>1.438067e-10</td>\n      <td>1.738091e-09</td>\n      <td>3.121485e-07</td>\n      <td>5.083304e-09</td>\n      <td>1.890425e-09</td>\n      <td>2.233250e-09</td>\n      <td>8.363790e-10</td>\n      <td>1.044159e-09</td>\n      <td>5.759929e-10</td>\n      <td>3.813199e-08</td>\n      <td>1.019806e-09</td>\n      <td>-9.179347e-02</td>\n      <td>-2.160207e-05</td>\n      <td>2.894743e-09</td>\n      <td>5.042657e-09</td>\n      <td>6.702420e-10</td>\n      <td>3.588444e-10</td>\n      <td>1.190379e-09</td>\n      <td>5.660560e-10</td>\n      <td>2.146359e-08</td>\n      <td>0.000000e+00</td>\n      <td>4.075928e-11</td>\n      <td>7.226234e-11</td>\n      <td>1.0</td>\n      <td>1.066114e-09</td>\n      <td>2.170287e-09</td>\n      <td>-0.000032</td>\n      <td>0.000000e+00</td>\n      <td>3.156390e-09</td>\n      <td>1.954925e-09</td>\n      <td>2.098142e-09</td>\n      <td>6.887991e-10</td>\n      <td>4.972086e-09</td>\n      <td>3.646872e-09</td>\n      <td>2.147189e-10</td>\n      <td>2.014300e-10</td>\n      <td>9.576147e-10</td>\n      <td>8.443201e-10</td>\n      <td>1.117682e-09</td>\n      <td>2.088378e-09</td>\n      <td>6.382819e-09</td>\n      <td>9.098536e-10</td>\n      <td>6.570262e-10</td>\n      <td>4.640562e-11</td>\n      <td>2.677825e-10</td>\n      <td>-9.199815e+01</td>\n      <td>-2.060855e+02</td>\n      <td>-9.048383e+01</td>\n      <td>-2.453451e+00</td>\n      <td>5.137101e-09</td>\n      <td>9.620587e-10</td>\n      <td>1.025806e-09</td>\n      <td>2.869108e-09</td>\n      <td>-2.640482e-02</td>\n      <td>7.532992e-08</td>\n      <td>6.403922e-09</td>\n      <td>1.160856e-09</td>\n      <td>-7.604273e+00</td>\n      <td>2.970700e-08</td>\n      <td>-2.571099e-02</td>\n      <td>1.000000e+00</td>\n      <td>3.917639e-07</td>\n      <td>3.119567e-10</td>\n      <td>-0.023750</td>\n      <td>0.000003</td>\n      <td>-0.979314</td>\n      <td>4.344640e-08</td>\n      <td>1.201275e-08</td>\n      <td>4.417077e-10</td>\n      <td>1.463474e-11</td>\n      <td>0.000000e+00</td>\n      <td>2.228054e-07</td>\n      <td>0.000000e+00</td>\n      <td>-1.000000e+00</td>\n      <td>2.551906e-08</td>\n      <td>7.076709e-08</td>\n      <td>0.000000e+00</td>\n      <td>-3.207547e-02</td>\n      <td>4.033095e-08</td>\n      <td>8.578643e-10</td>\n      <td>-4.545438e-02</td>\n      <td>4.410464e-09</td>\n      <td>-1.000000e+00</td>\n      <td>1.006008e-09</td>\n      <td>3.235349e-09</td>\n      <td>2.422876e-10</td>\n      <td>2.030713e-09</td>\n      <td>0.000003</td>\n      <td>6.097074e-11</td>\n      <td>5.173169e-10</td>\n      <td>-0.015102</td>\n      <td>6.380582e-10</td>\n      <td>1.097922e-09</td>\n      <td>-0.012444</td>\n      <td>5.008304e-08</td>\n      <td>6.316773e-08</td>\n      <td>1.078787e-08</td>\n      <td>3.307923e-08</td>\n      <td>3.767347e-10</td>\n      <td>3.725073e-09</td>\n      <td>1.650100e-10</td>\n      <td>-0.014539</td>\n      <td>5.549692e-09</td>\n      <td>2.500991e-09</td>\n      <td>1.226024e-09</td>\n      <td>0.000000e+00</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>4.803307e-01</td>\n      <td>4.528464e-03</td>\n      <td>8.863645e-03</td>\n      <td>1.053313e-01</td>\n      <td>2.895934e-03</td>\n      <td>1.272588e-01</td>\n      <td>2.873244e-03</td>\n      <td>5.227570e-03</td>\n      <td>0.037516</td>\n      <td>4.227546e-02</td>\n      <td>3.832838e-03</td>\n      <td>2.750011e-02</td>\n      <td>5.462902e-02</td>\n      <td>7.280386e-03</td>\n      <td>2.613008e-03</td>\n      <td>4.251277e-01</td>\n      <td>2.323514e-01</td>\n      <td>8.100685e-02</td>\n      <td>6.158435e-02</td>\n      <td>2.048716e-02</td>\n      <td>2.824729e-02</td>\n      <td>4.506935e-03</td>\n      <td>6.476120e-02</td>\n      <td>3.644930e-03</td>\n      <td>5.752602e-03</td>\n      <td>4.700085e-03</td>\n      <td>7.387472e-02</td>\n      <td>5.408657e-01</td>\n      <td>2.899070e-02</td>\n      <td>6.171486e-03</td>\n      <td>5.636077e-03</td>\n      <td>6.602670e-03</td>\n      <td>3.285294e-03</td>\n      <td>1.002341e+00</td>\n      <td>2.565920e-03</td>\n      <td>9.372874e-02</td>\n      <td>1.086972e-02</td>\n      <td>7.645077e-03</td>\n      <td>5.701689e-02</td>\n      <td>8.700979e-02</td>\n      <td>9.255422e-03</td>\n      <td>2.575087e-03</td>\n      <td>5.858120e-03</td>\n      <td>9.789102e-03</td>\n      <td>8.151003e-03</td>\n      <td>2.348764e-01</td>\n      <td>3.227373e-02</td>\n      <td>9.247558e-02</td>\n      <td>3.139858e-03</td>\n      <td>2.824439e-01</td>\n      <td>3.101255e-02</td>\n      <td>2.611131e-03</td>\n      <td>6.237099e-03</td>\n      <td>4.800441e-01</td>\n      <td>2.067308e-01</td>\n      <td>3.455325e-03</td>\n      <td>1.000000</td>\n      <td>4.038402e-03</td>\n      <td>4.000000e+00</td>\n      <td>1.868979e-01</td>\n      <td>2.592271e-03</td>\n      <td>4.894502e-03</td>\n      <td>2.550872e-03</td>\n      <td>2.585181e-03</td>\n      <td>3.080827e-03</td>\n      <td>3.398316e-03</td>\n      <td>8.633795e-03</td>\n      <td>2.624563e-03</td>\n      <td>2.075500e-01</td>\n      <td>1.747994e-02</td>\n      <td>0.056187</td>\n      <td>2.924059e-03</td>\n      <td>5.887432e-03</td>\n      <td>6.720455e-03</td>\n      <td>1.534821e-02</td>\n      <td>2.587743e-03</td>\n      <td>2.568756e-03</td>\n      <td>7.946026e-02</td>\n      <td>5.964626e-03</td>\n      <td>2.620160e-03</td>\n      <td>2.700048e-03</td>\n      <td>2.777576e-03</td>\n      <td>2.553690e-03</td>\n      <td>1.691219e-01</td>\n      <td>2.553210e-03</td>\n      <td>3.621738e-03</td>\n      <td>2.624501e-03</td>\n      <td>2.707382e-03</td>\n      <td>2.502497e-03</td>\n      <td>2.584436e-03</td>\n      <td>5.015002e-01</td>\n      <td>2.686053e-03</td>\n      <td>1.002284e+00</td>\n      <td>2.745631e-02</td>\n      <td>2.521217e-03</td>\n      <td>2.561606e-03</td>\n      <td>2.535147e-03</td>\n      <td>2.538874e-03</td>\n      <td>2.602661e-03</td>\n      <td>2.705823e-03</td>\n      <td>2.557025e-03</td>\n      <td>0.000000e+00</td>\n      <td>2.571063e-03</td>\n      <td>2.584600e-03</td>\n      <td>1.0</td>\n      <td>2.518641e-03</td>\n      <td>2.498538e-03</td>\n      <td>0.027192</td>\n      <td>1.000000e+00</td>\n      <td>2.504171e-03</td>\n      <td>2.548580e-03</td>\n      <td>2.555637e-03</td>\n      <td>2.532760e-03</td>\n      <td>2.537703e-03</td>\n      <td>2.536777e-03</td>\n      <td>6.361827e-03</td>\n      <td>2.524606e-03</td>\n      <td>2.505943e-03</td>\n      <td>2.502194e-03</td>\n      <td>2.773983e-03</td>\n      <td>2.722707e-03</td>\n      <td>2.525242e-03</td>\n      <td>2.545030e-03</td>\n      <td>2.535647e-03</td>\n      <td>2.509307e-03</td>\n      <td>2.579307e-03</td>\n      <td>8.111972e-01</td>\n      <td>1.334254e-01</td>\n      <td>8.094516e-01</td>\n      <td>9.708745e-01</td>\n      <td>3.413339e-03</td>\n      <td>4.453618e-03</td>\n      <td>4.645799e-03</td>\n      <td>4.654078e-03</td>\n      <td>1.706199e-01</td>\n      <td>5.172805e-02</td>\n      <td>4.647512e-03</td>\n      <td>2.513542e-03</td>\n      <td>8.834880e-03</td>\n      <td>5.244059e-03</td>\n      <td>1.001545e+00</td>\n      <td>2.000000e+00</td>\n      <td>2.676816e-03</td>\n      <td>2.503555e-03</td>\n      <td>0.525457</td>\n      <td>1.000482</td>\n      <td>0.058394</td>\n      <td>1.001025e+00</td>\n      <td>1.739309e-02</td>\n      <td>6.364579e-03</td>\n      <td>4.352625e-03</td>\n      <td>0.000000e+00</td>\n      <td>6.258397e-02</td>\n      <td>0.000000e+00</td>\n      <td>-1.000000e+00</td>\n      <td>6.241067e-02</td>\n      <td>5.837902e-02</td>\n      <td>0.000000e+00</td>\n      <td>3.563471e-01</td>\n      <td>1.514714e-01</td>\n      <td>2.614415e-03</td>\n      <td>1.405611e-01</td>\n      <td>2.697240e-03</td>\n      <td>1.000000e+00</td>\n      <td>2.787533e-03</td>\n      <td>5.949431e-03</td>\n      <td>4.424397e-03</td>\n      <td>2.553868e-03</td>\n      <td>0.007260</td>\n      <td>3.113379e-03</td>\n      <td>2.780952e-03</td>\n      <td>0.073693</td>\n      <td>2.718821e-03</td>\n      <td>2.502250e-03</td>\n      <td>0.114126</td>\n      <td>2.551973e-03</td>\n      <td>9.314305e-03</td>\n      <td>2.532470e-03</td>\n      <td>3.517452e-03</td>\n      <td>3.027212e-03</td>\n      <td>2.555848e-03</td>\n      <td>3.026087e-03</td>\n      <td>0.199399</td>\n      <td>3.028116e-03</td>\n      <td>2.752895e-03</td>\n      <td>3.028347e-03</td>\n      <td>0.000000e+00</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>6.942950e-01</td>\n      <td>9.056902e-03</td>\n      <td>3.132968e-02</td>\n      <td>8.143328e-01</td>\n      <td>5.782230e-03</td>\n      <td>1.639082e-01</td>\n      <td>5.746725e-03</td>\n      <td>9.777229e-03</td>\n      <td>0.120519</td>\n      <td>8.851244e-02</td>\n      <td>7.668474e-03</td>\n      <td>8.222598e-02</td>\n      <td>1.808053e-01</td>\n      <td>1.537682e-02</td>\n      <td>5.223076e-03</td>\n      <td>4.596702e-01</td>\n      <td>3.831664e-01</td>\n      <td>2.861716e-01</td>\n      <td>1.303682e-01</td>\n      <td>8.338487e-02</td>\n      <td>7.574612e-02</td>\n      <td>9.020668e-03</td>\n      <td>1.094135e-01</td>\n      <td>7.282917e-03</td>\n      <td>2.587759e-02</td>\n      <td>9.400615e-03</td>\n      <td>1.444321e-01</td>\n      <td>6.183025e-01</td>\n      <td>1.105554e-01</td>\n      <td>1.337968e-02</td>\n      <td>1.352057e-02</td>\n      <td>1.945133e-02</td>\n      <td>6.573143e-03</td>\n      <td>1.004893e+00</td>\n      <td>5.132659e-03</td>\n      <td>1.397011e-01</td>\n      <td>1.944087e-02</td>\n      <td>3.217483e-01</td>\n      <td>1.816685e-01</td>\n      <td>1.494290e-01</td>\n      <td>2.931426e-02</td>\n      <td>5.149018e-03</td>\n      <td>1.065893e-01</td>\n      <td>1.949362e-02</td>\n      <td>2.849409e-02</td>\n      <td>3.784090e-01</td>\n      <td>2.353444e-01</td>\n      <td>3.722664e-01</td>\n      <td>6.234544e-03</td>\n      <td>2.897305e-01</td>\n      <td>9.443575e-02</td>\n      <td>5.223146e-03</td>\n      <td>9.173869e-02</td>\n      <td>9.320872e-01</td>\n      <td>6.466326e-01</td>\n      <td>6.907869e-03</td>\n      <td>1.000000</td>\n      <td>8.074334e-03</td>\n      <td>6.000000e+00</td>\n      <td>1.908262e-01</td>\n      <td>5.186870e-03</td>\n      <td>9.796928e-03</td>\n      <td>5.101578e-03</td>\n      <td>5.166080e-03</td>\n      <td>6.160283e-03</td>\n      <td>6.787958e-03</td>\n      <td>1.279650e-02</td>\n      <td>5.250227e-03</td>\n      <td>4.018433e-01</td>\n      <td>5.951238e-02</td>\n      <td>0.103089</td>\n      <td>5.848502e-03</td>\n      <td>7.570754e-02</td>\n      <td>7.436965e-02</td>\n      <td>5.874229e-02</td>\n      <td>5.174881e-03</td>\n      <td>5.135867e-03</td>\n      <td>2.058335e-01</td>\n      <td>1.985531e-02</td>\n      <td>5.237409e-03</td>\n      <td>5.395388e-03</td>\n      <td>5.555031e-03</td>\n      <td>5.105827e-03</td>\n      <td>1.727493e-01</td>\n      <td>5.104234e-03</td>\n      <td>7.247500e-03</td>\n      <td>5.247257e-03</td>\n      <td>5.413602e-03</td>\n      <td>5.004534e-03</td>\n      <td>5.168711e-03</td>\n      <td>5.044333e-01</td>\n      <td>5.367302e-03</td>\n      <td>1.004859e+00</td>\n      <td>7.706299e-02</td>\n      <td>5.043645e-03</td>\n      <td>5.121536e-03</td>\n      <td>5.069985e-03</td>\n      <td>5.078574e-03</td>\n      <td>5.206744e-03</td>\n      <td>5.410478e-03</td>\n      <td>5.088062e-03</td>\n      <td>0.000000e+00</td>\n      <td>5.134277e-03</td>\n      <td>5.167800e-03</td>\n      <td>1.0</td>\n      <td>5.030552e-03</td>\n      <td>4.999655e-03</td>\n      <td>0.085616</td>\n      <td>1.000000e+00</td>\n      <td>5.007637e-03</td>\n      <td>5.092067e-03</td>\n      <td>5.114076e-03</td>\n      <td>5.061884e-03</td>\n      <td>5.075566e-03</td>\n      <td>5.080965e-03</td>\n      <td>1.001767e+00</td>\n      <td>5.048758e-03</td>\n      <td>5.015861e-03</td>\n      <td>5.002915e-03</td>\n      <td>5.545980e-03</td>\n      <td>5.447958e-03</td>\n      <td>5.052575e-03</td>\n      <td>5.090312e-03</td>\n      <td>5.069786e-03</td>\n      <td>5.015866e-03</td>\n      <td>5.156619e-03</td>\n      <td>9.422135e-01</td>\n      <td>1.362231e-01</td>\n      <td>9.493249e-01</td>\n      <td>9.736766e-01</td>\n      <td>6.754730e-03</td>\n      <td>8.898508e-03</td>\n      <td>9.296491e-03</td>\n      <td>9.302054e-03</td>\n      <td>3.338462e-01</td>\n      <td>1.363444e-01</td>\n      <td>9.299602e-03</td>\n      <td>5.028643e-03</td>\n      <td>3.114089e-02</td>\n      <td>3.685061e-02</td>\n      <td>1.004365e+00</td>\n      <td>2.000000e+00</td>\n      <td>5.350452e-03</td>\n      <td>5.009813e-03</td>\n      <td>0.878845</td>\n      <td>1.003683</td>\n      <td>0.149225</td>\n      <td>1.004013e+00</td>\n      <td>5.830858e-02</td>\n      <td>2.905143e-01</td>\n      <td>8.711394e-03</td>\n      <td>1.000000e+00</td>\n      <td>1.991381e-01</td>\n      <td>0.000000e+00</td>\n      <td>3.000000e+00</td>\n      <td>2.204558e-01</td>\n      <td>2.133946e-01</td>\n      <td>0.000000e+00</td>\n      <td>5.953797e-01</td>\n      <td>4.291804e-01</td>\n      <td>5.236194e-03</td>\n      <td>2.741950e-01</td>\n      <td>5.399487e-03</td>\n      <td>1.000000e+00</td>\n      <td>5.572430e-03</td>\n      <td>1.000419e+00</td>\n      <td>8.850723e-03</td>\n      <td>5.106535e-03</td>\n      <td>0.021599</td>\n      <td>6.224161e-03</td>\n      <td>5.560417e-03</td>\n      <td>0.161484</td>\n      <td>5.439861e-03</td>\n      <td>5.004332e-03</td>\n      <td>0.217769</td>\n      <td>5.109191e-03</td>\n      <td>2.539468e-01</td>\n      <td>5.069830e-03</td>\n      <td>7.037814e-03</td>\n      <td>6.053010e-03</td>\n      <td>5.110523e-03</td>\n      <td>6.051590e-03</td>\n      <td>0.382136</td>\n      <td>6.053151e-03</td>\n      <td>5.508129e-03</td>\n      <td>6.053247e-03</td>\n      <td>0.000000e+00</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>8.648159e-01</td>\n      <td>2.366407e-01</td>\n      <td>1.259019e-01</td>\n      <td>1.002403e+00</td>\n      <td>8.660590e-03</td>\n      <td>2.581017e-01</td>\n      <td>8.615665e-03</td>\n      <td>1.550507e-01</td>\n      <td>0.250869</td>\n      <td>1.843206e-01</td>\n      <td>1.319484e-01</td>\n      <td>2.388817e-01</td>\n      <td>3.733219e-01</td>\n      <td>5.371837e-02</td>\n      <td>7.837339e-03</td>\n      <td>5.174066e-01</td>\n      <td>5.615486e-01</td>\n      <td>6.693663e-01</td>\n      <td>2.467636e-01</td>\n      <td>1.919294e-01</td>\n      <td>2.709323e-01</td>\n      <td>1.004175e+00</td>\n      <td>1.869698e-01</td>\n      <td>3.360340e-01</td>\n      <td>3.342967e-01</td>\n      <td>2.003357e-01</td>\n      <td>2.331460e-01</td>\n      <td>6.838264e-01</td>\n      <td>2.955389e-01</td>\n      <td>4.987849e-02</td>\n      <td>7.132090e-02</td>\n      <td>1.019708e-01</td>\n      <td>9.858875e-03</td>\n      <td>1.007448e+00</td>\n      <td>7.700315e-03</td>\n      <td>2.954592e-01</td>\n      <td>6.913839e-02</td>\n      <td>4.949366e-01</td>\n      <td>5.012074e-01</td>\n      <td>2.496252e-01</td>\n      <td>8.941486e-02</td>\n      <td>7.721870e-03</td>\n      <td>3.726992e-01</td>\n      <td>5.322812e-02</td>\n      <td>1.003196e-01</td>\n      <td>4.678926e-01</td>\n      <td>7.036913e-01</td>\n      <td>7.745240e-01</td>\n      <td>9.289617e-03</td>\n      <td>4.487620e-01</td>\n      <td>2.844872e-01</td>\n      <td>7.835914e-03</td>\n      <td>7.565882e-01</td>\n      <td>1.002225e+00</td>\n      <td>1.003277e+00</td>\n      <td>9.546030e-02</td>\n      <td>1.000000</td>\n      <td>3.578489e-01</td>\n      <td>6.000000e+00</td>\n      <td>2.088756e-01</td>\n      <td>7.781599e-03</td>\n      <td>4.277199e-01</td>\n      <td>7.651583e-03</td>\n      <td>7.749850e-03</td>\n      <td>9.242110e-03</td>\n      <td>2.507828e-01</td>\n      <td>3.118547e-02</td>\n      <td>7.873465e-03</td>\n      <td>5.048339e-01</td>\n      <td>2.472314e-01</td>\n      <td>0.174849</td>\n      <td>8.766024e-03</td>\n      <td>2.194434e-01</td>\n      <td>2.688564e-01</td>\n      <td>1.678398e-01</td>\n      <td>7.760693e-03</td>\n      <td>7.702539e-03</td>\n      <td>3.749256e-01</td>\n      <td>1.061590e-01</td>\n      <td>7.855688e-03</td>\n      <td>8.095952e-03</td>\n      <td>8.331476e-03</td>\n      <td>7.657797e-03</td>\n      <td>1.763400e-01</td>\n      <td>7.657400e-03</td>\n      <td>2.031722e-01</td>\n      <td>7.869666e-03</td>\n      <td>8.121441e-03</td>\n      <td>7.506658e-03</td>\n      <td>7.755538e-03</td>\n      <td>5.073687e-01</td>\n      <td>8.049988e-03</td>\n      <td>1.007424e+00</td>\n      <td>1.944009e-01</td>\n      <td>7.567901e-03</td>\n      <td>7.679788e-03</td>\n      <td>7.608542e-03</td>\n      <td>7.615540e-03</td>\n      <td>7.811827e-03</td>\n      <td>8.111589e-03</td>\n      <td>7.633992e-03</td>\n      <td>0.000000e+00</td>\n      <td>7.701028e-03</td>\n      <td>7.751853e-03</td>\n      <td>1.0</td>\n      <td>7.544346e-03</td>\n      <td>7.500095e-03</td>\n      <td>0.234028</td>\n      <td>1.000000e+00</td>\n      <td>7.510969e-03</td>\n      <td>7.634533e-03</td>\n      <td>7.674605e-03</td>\n      <td>7.592210e-03</td>\n      <td>7.614203e-03</td>\n      <td>7.624208e-03</td>\n      <td>1.005885e+00</td>\n      <td>7.570818e-03</td>\n      <td>7.524826e-03</td>\n      <td>7.501197e-03</td>\n      <td>8.317631e-03</td>\n      <td>8.171540e-03</td>\n      <td>7.578425e-03</td>\n      <td>7.632676e-03</td>\n      <td>7.604379e-03</td>\n      <td>7.524547e-03</td>\n      <td>7.736906e-03</td>\n      <td>9.647727e-01</td>\n      <td>1.390174e-01</td>\n      <td>9.715760e-01</td>\n      <td>9.764816e-01</td>\n      <td>1.103299e-02</td>\n      <td>3.278337e-01</td>\n      <td>1.004590e+00</td>\n      <td>9.644330e-01</td>\n      <td>5.256952e-01</td>\n      <td>2.626341e-01</td>\n      <td>3.394784e-01</td>\n      <td>7.542553e-03</td>\n      <td>1.238671e-01</td>\n      <td>7.713827e-02</td>\n      <td>1.007182e+00</td>\n      <td>3.000000e+00</td>\n      <td>7.955245e-03</td>\n      <td>7.513660e-03</td>\n      <td>1.003896</td>\n      <td>1.006830</td>\n      <td>0.291426</td>\n      <td>1.007006e+00</td>\n      <td>2.451545e-01</td>\n      <td>4.477965e-01</td>\n      <td>2.077554e-01</td>\n      <td>1.000000e+00</td>\n      <td>4.340722e-01</td>\n      <td>0.000000e+00</td>\n      <td>4.000000e+00</td>\n      <td>4.417185e-01</td>\n      <td>4.372384e-01</td>\n      <td>0.000000e+00</td>\n      <td>7.148844e-01</td>\n      <td>5.761250e-01</td>\n      <td>7.855672e-03</td>\n      <td>4.166305e-01</td>\n      <td>8.096403e-03</td>\n      <td>1.000000e+00</td>\n      <td>8.356926e-03</td>\n      <td>1.004735e+00</td>\n      <td>1.004246e+00</td>\n      <td>7.659996e-03</td>\n      <td>0.105613</td>\n      <td>9.334572e-03</td>\n      <td>8.334345e-03</td>\n      <td>0.278052</td>\n      <td>8.163446e-03</td>\n      <td>7.506120e-03</td>\n      <td>0.454186</td>\n      <td>7.684750e-03</td>\n      <td>2.582450e-01</td>\n      <td>7.573434e-03</td>\n      <td>5.015469e-01</td>\n      <td>9.080455e-03</td>\n      <td>7.663697e-03</td>\n      <td>9.078914e-03</td>\n      <td>0.559307</td>\n      <td>9.076287e-03</td>\n      <td>8.260448e-03</td>\n      <td>9.080930e-03</td>\n      <td>0.000000e+00</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>1.010000e+00</td>\n      <td>5.389619e+00</td>\n      <td>1.324060e+00</td>\n      <td>1.010000e+00</td>\n      <td>3.256284e+00</td>\n      <td>5.482888e+00</td>\n      <td>8.988807e+00</td>\n      <td>1.625262e+00</td>\n      <td>4.191119</td>\n      <td>1.011162e+01</td>\n      <td>5.634724e+00</td>\n      <td>1.980329e+01</td>\n      <td>1.610002e+00</td>\n      <td>1.442070e+02</td>\n      <td>1.010000e+00</td>\n      <td>1.631990e+01</td>\n      <td>1.643096e+00</td>\n      <td>8.971425e+00</td>\n      <td>4.584012e+01</td>\n      <td>1.214517e+03</td>\n      <td>1.252750e+00</td>\n      <td>1.019079e+00</td>\n      <td>2.440427e+02</td>\n      <td>2.676606e+00</td>\n      <td>2.742486e+01</td>\n      <td>1.160260e+01</td>\n      <td>1.010000e+00</td>\n      <td>2.428051e+00</td>\n      <td>4.097441e+03</td>\n      <td>7.901939e+00</td>\n      <td>2.068753e+02</td>\n      <td>1.970375e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>3.948271e+00</td>\n      <td>4.207490e+02</td>\n      <td>1.231413e+00</td>\n      <td>2.767759e+00</td>\n      <td>1.095651e+01</td>\n      <td>2.761778e+02</td>\n      <td>3.500452e+01</td>\n      <td>1.261945e+00</td>\n      <td>2.839635e+00</td>\n      <td>5.501152e+01</td>\n      <td>2.153332e+00</td>\n      <td>1.010000e+00</td>\n      <td>8.685154e+02</td>\n      <td>6.503743e+01</td>\n      <td>3.801432e+00</td>\n      <td>1.110095e+01</td>\n      <td>3.859016e+02</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.000000</td>\n      <td>1.010000e+00</td>\n      <td>6.000000e+00</td>\n      <td>1.753314e+02</td>\n      <td>1.444820e+01</td>\n      <td>1.010000e+00</td>\n      <td>2.882943e+02</td>\n      <td>1.300091e+04</td>\n      <td>3.507759e+00</td>\n      <td>7.004608e+00</td>\n      <td>6.703231e+01</td>\n      <td>3.010000e+00</td>\n      <td>5.308959e+00</td>\n      <td>1.693098e+00</td>\n      <td>3.853647</td>\n      <td>1.269390e+00</td>\n      <td>4.509086e+00</td>\n      <td>4.275118e+00</td>\n      <td>1.513261e+01</td>\n      <td>4.660665e+01</td>\n      <td>4.499889e+02</td>\n      <td>1.022917e+01</td>\n      <td>1.569976e+01</td>\n      <td>1.499220e+03</td>\n      <td>1.600864e+01</td>\n      <td>1.800687e+01</td>\n      <td>3.800808e+01</td>\n      <td>1.510000e+00</td>\n      <td>2.317589e+02</td>\n      <td>8.009780e+00</td>\n      <td>2.100367e+01</td>\n      <td>1.250260e+01</td>\n      <td>1.005370e+00</td>\n      <td>8.009993e+00</td>\n      <td>3.008527e+00</td>\n      <td>4.049070e+00</td>\n      <td>1.010000e+00</td>\n      <td>2.553337e+01</td>\n      <td>1.005321e+00</td>\n      <td>3.800753e+01</td>\n      <td>4.837305e+03</td>\n      <td>1.010000e+00</td>\n      <td>2.900559e+01</td>\n      <td>1.850013e+01</td>\n      <td>1.202397e+01</td>\n      <td>2.000000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.0</td>\n      <td>1.001528e+00</td>\n      <td>1.000777e+00</td>\n      <td>2.669250</td>\n      <td>1.000000e+00</td>\n      <td>1.004730e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>4.500603e+01</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.009996e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.009985e+00</td>\n      <td>3.009737e+00</td>\n      <td>2.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.032727e+00</td>\n      <td>8.853349e+02</td>\n      <td>1.055638e+00</td>\n      <td>4.052048e+00</td>\n      <td>1.366660e+02</td>\n      <td>1.089998e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.302976e+00</td>\n      <td>5.631732e+00</td>\n      <td>6.268292e+02</td>\n      <td>7.009004e+00</td>\n      <td>1.002340e+00</td>\n      <td>1.327812e+00</td>\n      <td>9.509053e+00</td>\n      <td>1.010000e+00</td>\n      <td>7.000000e+00</td>\n      <td>9.008856e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000</td>\n      <td>1.010000</td>\n      <td>2.060899</td>\n      <td>1.010000e+00</td>\n      <td>5.755076e+03</td>\n      <td>5.456269e+00</td>\n      <td>2.500756e+01</td>\n      <td>1.000000e+00</td>\n      <td>1.999540e+00</td>\n      <td>1.000000e+00</td>\n      <td>6.000000e+00</td>\n      <td>1.970907e+00</td>\n      <td>1.977007e+00</td>\n      <td>1.000000e+00</td>\n      <td>1.791115e+00</td>\n      <td>2.009276e+00</td>\n      <td>1.040062e+02</td>\n      <td>9.094335e+00</td>\n      <td>1.400848e+01</td>\n      <td>1.000000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.023472e+00</td>\n      <td>1.010000e+00</td>\n      <td>2.200488e+01</td>\n      <td>9.051837</td>\n      <td>1.028044e+00</td>\n      <td>1.491624e+00</td>\n      <td>6.039006</td>\n      <td>1.510000e+00</td>\n      <td>1.009996e+00</td>\n      <td>1.010000</td>\n      <td>1.009999e+00</td>\n      <td>1.759910e+00</td>\n      <td>1.009998e+00</td>\n      <td>3.005383e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.010000e+00</td>\n      <td>1.339910e+00</td>\n      <td>2.229368</td>\n      <td>1.010000e+00</td>\n      <td>1.343331e+00</td>\n      <td>4.827630e+00</td>\n      <td>1.000000e+00</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"train.describe(include=['int64']) #Para colunas de Inteiros","metadata":{"execution":{"iopub.status.busy":"2024-08-18T23:00:19.422007Z","iopub.execute_input":"2024-08-18T23:00:19.422406Z","iopub.status.idle":"2024-08-18T23:00:19.692441Z","shell.execute_reply.started":"2024-08-18T23:00:19.422369Z","shell.execute_reply":"2024-08-18T23:00:19.691436Z"},"trusted":true},"execution_count":11,"outputs":[{"execution_count":11,"output_type":"execute_result","data":{"text/plain":"               B_31        target\ncount  5.531451e+06  5.531451e+06\nmean   9.969435e-01  2.490972e-01\nstd    5.520127e-02  4.324903e-01\nmin    0.000000e+00  0.000000e+00\n25%    1.000000e+00  0.000000e+00\n50%    1.000000e+00  0.000000e+00\n75%    1.000000e+00  0.000000e+00\nmax    1.000000e+00  1.000000e+00","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>B_31</th>\n      <th>target</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>5.531451e+06</td>\n      <td>5.531451e+06</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>9.969435e-01</td>\n      <td>2.490972e-01</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>5.520127e-02</td>\n      <td>4.324903e-01</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>0.000000e+00</td>\n      <td>0.000000e+00</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>1.000000e+00</td>\n      <td>0.000000e+00</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>1.000000e+00</td>\n      <td>0.000000e+00</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>1.000000e+00</td>\n      <td>0.000000e+00</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>1.000000e+00</td>\n      <td>1.000000e+00</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"train.describe(include=['object']) #Para colunas categóricas","metadata":{"execution":{"iopub.status.busy":"2024-08-18T23:00:19.69396Z","iopub.execute_input":"2024-08-18T23:00:19.694289Z","iopub.status.idle":"2024-08-18T23:00:25.78587Z","shell.execute_reply.started":"2024-08-18T23:00:19.694259Z","shell.execute_reply":"2024-08-18T23:00:25.784811Z"},"trusted":true},"execution_count":12,"outputs":[{"execution_count":12,"output_type":"execute_result","data":{"text/plain":"                                              customer_ID         S_2     D_63     D_64\ncount                                             5531451     5531451  5531451  5314009\nunique                                             458913         396        6        4\ntop     0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...  2018-02-17       CO        O\nfreq                                                   13       26715  4119621  2913244","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>customer_ID</th>\n      <th>S_2</th>\n      <th>D_63</th>\n      <th>D_64</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>5531451</td>\n      <td>5531451</td>\n      <td>5531451</td>\n      <td>5314009</td>\n    </tr>\n    <tr>\n      <th>unique</th>\n      <td>458913</td>\n      <td>396</td>\n      <td>6</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>top</th>\n      <td>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...</td>\n      <td>2018-02-17</td>\n      <td>CO</td>\n      <td>O</td>\n    </tr>\n    <tr>\n      <th>freq</th>\n      <td>13</td>\n      <td>26715</td>\n      <td>4119621</td>\n      <td>2913244</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"sns.countplot(x='target', data=train)\nplt.title('Distribuição da variável target')\nplt.show()\n","metadata":{"execution":{"iopub.status.busy":"2024-08-18T23:00:25.787382Z","iopub.execute_input":"2024-08-18T23:00:25.787817Z","iopub.status.idle":"2024-08-18T23:00:26.588159Z","shell.execute_reply.started":"2024-08-18T23:00:25.787779Z","shell.execute_reply":"2024-08-18T23:00:26.586961Z"},"trusted":true},"execution_count":13,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 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"},"metadata":{}}]},{"cell_type":"code","source":"train['S_2'] = pd.to_datetime(train['S_2'])\ntrain['S_2'].head()","metadata":{"execution":{"iopub.status.busy":"2024-08-18T23:03:38.880113Z","iopub.execute_input":"2024-08-18T23:03:38.880543Z","iopub.status.idle":"2024-08-18T23:03:39.033713Z","shell.execute_reply.started":"2024-08-18T23:03:38.880497Z","shell.execute_reply":"2024-08-18T23:03:39.032473Z"},"trusted":true},"execution_count":20,"outputs":[{"execution_count":20,"output_type":"execute_result","data":{"text/plain":"0   2017-03-09\n1   2017-04-07\n2   2017-05-28\n3   2017-06-13\n4   2017-07-16\nName: S_2, dtype: datetime64[ns]"},"metadata":{}}]},{"cell_type":"code","source":"train = train.sort_values(by=[\"customer_ID\", \"S_2\"])","metadata":{"execution":{"iopub.status.busy":"2024-08-18T23:02:11.556466Z","iopub.execute_input":"2024-08-18T23:02:11.556927Z","iopub.status.idle":"2024-08-18T23:02:17.781508Z","shell.execute_reply.started":"2024-08-18T23:02:11.556867Z","shell.execute_reply":"2024-08-18T23:02:17.780529Z"},"trusted":true},"execution_count":18,"outputs":[]},{"cell_type":"code","source":"train.head()","metadata":{"execution":{"iopub.status.busy":"2024-08-18T23:03:04.308061Z","iopub.execute_input":"2024-08-18T23:03:04.309089Z","iopub.status.idle":"2024-08-18T23:03:04.47022Z","shell.execute_reply.started":"2024-08-18T23:03:04.309045Z","shell.execute_reply":"2024-08-18T23:03:04.46899Z"},"trusted":true},"execution_count":19,"outputs":[{"execution_count":19,"output_type":"execute_result","data":{"text/plain":"                                         customer_ID        S_2       P_2      D_39       B_1       B_2       R_1       S_3      D_41       B_3  D_42  D_43      D_44       B_4      D_45       B_5       R_2      D_46      D_47      D_48  D_49       B_6       B_7       B_8      D_50      D_51       B_9       R_3      D_52       P_3      B_10  D_53       S_5      B_11       S_6      D_54       R_4       S_7      B_12       S_8      D_55      D_56      B_13       R_5      D_58       S_9      B_14      D_59      D_60      D_61      B_15      S_11      D_62 D_63 D_64      D_65      B_16  B_17      B_18      B_19  D_66      B_20  D_68      S_12       R_6      S_13      B_21      D_69      B_22      D_70      D_71      D_72      S_15      B_23  D_73       P_4      D_74      D_75  D_76      B_24       R_7  D_77      B_25      B_26      D_78      D_79       R_8  R_9      S_16      D_80      R_10      R_11      B_27      D_81      D_82      S_17      R_12      B_28      R_13      D_83  \\\n0  0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f... 2017-03-09  0.938469  0.001733  0.008724  1.006838  0.009228  0.124035  0.008771  0.004709   NaN   NaN  0.000630  0.080986  0.708906  0.170600  0.006204  0.358587  0.525351  0.255736   NaN  0.063902  0.059416  0.006466  0.148698  1.335856  0.008207  0.001423  0.207334  0.736463  0.096219   NaN  0.023381  0.002768  0.008322  1.001519  0.008298  0.161345  0.148266  0.922998  0.354596  0.152025  0.118075  0.001882  0.158612  0.065728  0.018385  0.063646  0.199617  0.308233  0.016361  0.401619  0.091071   CR    O  0.007126  0.007665   NaN  0.652984  0.008520   NaN  0.004730   6.0  0.272008  0.008363  0.515222  0.002644  0.009013  0.004808  0.008342  0.119403  0.004802  0.108271  0.050882   NaN  0.007554  0.080422  0.069067   NaN  0.004327  0.007562   NaN  0.007729  0.000272  0.001576  0.004239  0.001434  NaN  0.002271  0.004061  0.007121  0.002456  0.002310  0.003532  0.506612  0.008033  1.009825  0.084683  0.003820  0.007043   \n1  0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f... 2017-04-07  0.936665  0.005775  0.004923  1.000653  0.006151  0.126750  0.000798  0.002714   NaN   NaN  0.002526  0.069419  0.712795  0.113239  0.006206  0.353630  0.521311  0.223329   NaN  0.065261  0.057744  0.001614  0.149723  1.339794  0.008373  0.001984  0.202778  0.720886  0.099804   NaN  0.030599  0.002749  0.002482  1.009033  0.005136  0.140951  0.143530  0.919414  0.326757  0.156201  0.118737  0.001610  0.148459  0.093935  0.013035  0.065501  0.151387  0.265026  0.017688  0.406326  0.086805   CR    O  0.002413  0.007148   NaN  0.647093  0.002238   NaN  0.003879   6.0  0.188970  0.004030  0.509048  0.004193  0.007842  0.001283  0.006524  0.140611  0.000094  0.101018  0.040469   NaN  0.004832  0.081413  0.074166   NaN  0.004203  0.005304   NaN  0.001864  0.000979  0.009896  0.007597  0.000509  NaN  0.009810  0.000127  0.005966  0.000395  0.001327  0.007773  0.500855  0.000760  1.009461  0.081843  0.000347  0.007789   \n2  0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f... 2017-05-28  0.954180  0.091505  0.021655  1.009672  0.006815  0.123977  0.007598  0.009423   NaN   NaN  0.007605  0.068839  0.720884  0.060492  0.003259  0.334650  0.524568  0.189424   NaN  0.066982  0.056647  0.005126  0.151955  1.337179  0.009355  0.007426  0.206629  0.738044  0.134073   NaN  0.048367  0.010077  0.000530  1.009184  0.006961  0.112229  0.137014  1.001977  0.304124  0.153795  0.114534  0.006328  0.139504  0.084757  0.056653  0.070607  0.305883  0.212165  0.063955  0.406768  0.094001   CR    O  0.001878  0.003636   NaN  0.645819  0.000408   NaN  0.004578   6.0  0.495308  0.006838  0.679257  0.001337  0.006025  0.009393  0.002615  0.075868  0.007152  0.103239  0.047454   NaN  0.006561  0.078891  0.076510   NaN  0.001782  0.001422   NaN  0.005419  0.006149  0.009629  0.003094  0.008295  NaN  0.009362  0.000954  0.005447  0.007345  0.007624  0.008811  0.504606  0.004056  1.004291  0.081954  0.002709  0.004093   \n3  0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f... 2017-06-13  0.960384  0.002455  0.013683  1.002700  0.001373  0.117169  0.000685  0.005531   NaN   NaN  0.006406  0.055630  0.723997  0.166782  0.009918  0.323271  0.530929  0.135586   NaN  0.083720  0.049253  0.001418  0.151219  1.339909  0.006782  0.003515  0.208214  0.741813  0.134437   NaN  0.030063  0.009667  0.000783  1.007455  0.008706  0.102838  0.129017  0.704016  0.275055  0.155772  0.120740  0.004980  0.138100  0.048382  0.012498  0.065926  0.273553  0.204300  0.022732  0.405175  0.094854   CR    O  0.005899  0.005896   NaN  0.654358  0.005897   NaN  0.005207   6.0  0.508670  0.008183  0.515282  0.008716  0.005271  0.004554  0.002052  0.150209  0.005364  0.206394  0.031705   NaN  0.009559  0.077490  0.071547   NaN  0.005595  0.006363   NaN  0.000646  0.009193  0.008568  0.003895  0.005153  NaN  0.004876  0.005665  0.001888  0.004961  0.000034  0.004652  0.508998  0.006969  1.004728  0.060634  0.009982  0.008817   \n4  0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f... 2017-07-16  0.947248  0.002483  0.015193  1.000727  0.007605  0.117325  0.004653  0.009312   NaN   NaN  0.007731  0.038862  0.720619  0.143630  0.006667  0.231009  0.529305       NaN   NaN  0.075900  0.048918  0.001199  0.154026  1.341735  0.000519  0.001362  0.205468  0.691986  0.121518   NaN  0.054221  0.009484  0.006698  1.003738  0.003846  0.094311  0.129539  0.917133  0.231110  0.154914  0.095178  0.001653  0.126443  0.039259  0.027897  0.063697  0.233103  0.175655  0.031171  0.487460  0.093915   CR    O  0.009479  0.001714   NaN  0.650112  0.007773   NaN  0.005851   6.0  0.216507  0.008605  0.507712  0.006821  0.000152  0.000104  0.001419  0.096441  0.007972  0.106020  0.032733   NaN  0.008156  0.076561  0.074432   NaN  0.004933  0.004831   NaN  0.001833  0.005738  0.003289  0.002608  0.007338  NaN  0.007447  0.004465  0.006111  0.002246  0.002109  0.001141  0.506213  0.001770  1.000904  0.062492  0.005860  0.001845   \n\n       R_14      R_15      D_84      R_16  B_29  B_30      S_18      D_86  D_87      R_17      R_18  D_88  B_31      S_19      R_19      B_32      S_20      R_20      R_21      B_33      D_89      R_22      R_23      D_91      D_92      D_93      D_94      R_24      R_25      D_96      S_22      S_23      S_24      S_25      S_26     D_102     D_103     D_104     D_105  D_106     D_107      B_36      B_37  R_26      R_27  B_38  D_108     D_109  D_110  D_111  B_39     D_112      B_40      S_27     D_113  D_114     D_115  D_116  D_117     D_118     D_119  D_120     D_121     D_122     D_123     D_124     D_125  D_126     D_127     D_128     D_129      B_41  B_42     D_130     D_131  D_132     D_133      R_28  D_134  D_135  D_136  D_137  D_138     D_139     D_140     D_141  D_142     D_143     D_144     D_145  target  \n0  0.000438  0.006452  0.000830  0.005055   NaN   0.0  0.005720  0.007084   NaN  0.000198  0.008907   NaN     1  0.002537  0.005177  0.006626  0.009705  0.007782  0.002450  1.001101  0.002665  0.007479  0.006893  1.503673  1.006133  0.003569  0.008871  0.003950  0.003647  0.004950  0.894090  0.135561  0.911191  0.974539  0.001243  0.766688  1.008691  1.004587  0.893734    NaN  0.670041  0.009968  0.004572   NaN  1.008949   2.0    NaN  0.004326    NaN    NaN   NaN  1.007336  0.210060  0.676922  0.007871    1.0  0.238250    0.0    4.0  0.232120  0.236266    0.0  0.702280  0.434345  0.003057  0.686516  0.008740    1.0  1.003319  1.007819  1.000080  0.006805   NaN  0.002052  0.005972    NaN  0.004345  0.001535    NaN    NaN    NaN    NaN    NaN  0.002427  0.003706  0.003818    NaN  0.000569  0.000610  0.002674       0  \n1  0.004311  0.002332  0.009469  0.003753   NaN   0.0  0.007584  0.006677   NaN  0.001142  0.005907   NaN     1  0.008427  0.008979  0.001854  0.009924  0.005987  0.002247  1.006779  0.002508  0.006827  0.002837  1.503577  1.005791  0.000571  0.000391  0.008351  0.008850  0.003180  0.902135  0.136333  0.919876  0.975625  0.004561  0.786007  1.000084  1.004118  0.906841    NaN  0.668647  0.003921  0.004654   NaN  1.003205   2.0    NaN  0.008707    NaN    NaN   NaN  1.007653  0.184093  0.822281  0.003444    1.0  0.247217    0.0    4.0  0.243532  0.241885    0.0  0.707017  0.430501  0.001306  0.686414  0.000755    1.0  1.008394  1.004333  1.008344  0.004407   NaN  0.001034  0.004838    NaN  0.007495  0.004931    NaN    NaN    NaN    NaN    NaN  0.003954  0.003167  0.005032    NaN  0.009576  0.005492  0.009217       0  \n2  0.007139  0.008358  0.002325  0.007381   NaN   0.0  0.005901  0.001185   NaN  0.008013  0.008882   NaN     1  0.007327  0.002016  0.008686  0.008446  0.007291  0.007794  1.001014  0.009634  0.009820  0.005080  1.503359  1.005801  0.007425  0.009234  0.002471  0.009769  0.005433  0.939654  0.134938  0.958699  0.974067  0.011736  0.806840  1.003014  1.009285  0.928719    NaN  0.670901  0.001264  0.019176   NaN  1.000754   2.0    NaN  0.004092    NaN    NaN   NaN  1.004312  0.154837  0.853498  0.003269    1.0  0.239867    0.0    4.0  0.240768  0.239710    0.0  0.704843  0.434409  0.003954  0.690101  0.009617    1.0  1.009307  1.007831  1.006878  0.003221   NaN  0.005681  0.005497    NaN  0.009227  0.009123    NaN    NaN    NaN    NaN    NaN  0.003269  0.007329  0.000427    NaN  0.003429  0.006986  0.002603       0  \n3  0.008690  0.007364  0.005924  0.008802   NaN   0.0  0.002520  0.003324   NaN  0.009455  0.008348   NaN     1  0.007053  0.003909  0.002478  0.006614  0.009977  0.007686  1.002775  0.007791  0.000458  0.007320  1.503701  1.007036  0.000664  0.003200  0.008507  0.004858  0.000063  0.913205  0.140058  0.926341  0.975499  0.007571  0.808214  1.001517  1.004514  0.935383    NaN  0.672620  0.002729  0.011720   NaN  1.005338   2.0    NaN  0.009703    NaN    NaN   NaN  1.002538  0.153939  0.844667  0.000053    1.0  0.240910    0.0    4.0  0.239400  0.240727    0.0  0.711546  0.436903  0.005135  0.687779  0.004649    1.0  1.001671  1.003460  1.007573  0.007703   NaN  0.007108  0.008261    NaN  0.007206  0.002409    NaN    NaN    NaN    NaN    NaN  0.006117  0.004516  0.003200    NaN  0.008419  0.006527  0.009600       0  \n4  0.007816  0.002470  0.005516  0.007166   NaN   0.0  0.000155  0.001504   NaN  0.002019  0.002678   NaN     1  0.007728  0.003432  0.002199  0.005511  0.004105  0.009656  1.006536  0.005158  0.003341  0.000264  1.509905  1.002915  0.003079  0.003845  0.007190  0.002983  0.000535  0.921026  0.131620  0.933479  0.978027  0.018200  0.822281  1.006125  1.005735  0.953363    NaN  0.673869  0.009998  0.017598   NaN  1.003175   2.0    NaN  0.009120    NaN    NaN   NaN  1.000130  0.120717  0.811199  0.008724    1.0  0.247939    0.0    4.0  0.244199  0.242325    0.0  0.705343  0.437433  0.002849  0.688774  0.000097    1.0  1.009886  1.005053  1.008132  0.009823   NaN  0.009680  0.004848    NaN  0.006312  0.004462    NaN    NaN    NaN    NaN    NaN  0.003671  0.004946  0.008889    NaN  0.001670  0.008126  0.009827       0  ","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>customer_ID</th>\n      <th>S_2</th>\n      <th>P_2</th>\n      <th>D_39</th>\n      <th>B_1</th>\n      <th>B_2</th>\n      <th>R_1</th>\n      <th>S_3</th>\n      <th>D_41</th>\n      <th>B_3</th>\n      <th>D_42</th>\n      <th>D_43</th>\n      <th>D_44</th>\n      <th>B_4</th>\n      <th>D_45</th>\n      <th>B_5</th>\n      <th>R_2</th>\n      <th>D_46</th>\n      <th>D_47</th>\n      <th>D_48</th>\n      <th>D_49</th>\n      <th>B_6</th>\n      <th>B_7</th>\n      <th>B_8</th>\n      <th>D_50</th>\n      <th>D_51</th>\n      <th>B_9</th>\n      <th>R_3</th>\n      <th>D_52</th>\n      <th>P_3</th>\n      <th>B_10</th>\n      <th>D_53</th>\n      <th>S_5</th>\n      <th>B_11</th>\n      <th>S_6</th>\n      <th>D_54</th>\n      <th>R_4</th>\n      <th>S_7</th>\n      <th>B_12</th>\n      <th>S_8</th>\n      <th>D_55</th>\n      <th>D_56</th>\n      <th>B_13</th>\n      <th>R_5</th>\n      <th>D_58</th>\n      <th>S_9</th>\n      <th>B_14</th>\n      <th>D_59</th>\n      <th>D_60</th>\n      <th>D_61</th>\n      <th>B_15</th>\n      <th>S_11</th>\n      <th>D_62</th>\n      <th>D_63</th>\n      <th>D_64</th>\n      <th>D_65</th>\n      <th>B_16</th>\n      <th>B_17</th>\n      <th>B_18</th>\n      <th>B_19</th>\n      <th>D_66</th>\n      <th>B_20</th>\n      <th>D_68</th>\n      <th>S_12</th>\n      <th>R_6</th>\n      <th>S_13</th>\n      <th>B_21</th>\n      <th>D_69</th>\n      <th>B_22</th>\n      <th>D_70</th>\n      <th>D_71</th>\n      <th>D_72</th>\n      <th>S_15</th>\n      <th>B_23</th>\n      <th>D_73</th>\n      <th>P_4</th>\n      <th>D_74</th>\n      <th>D_75</th>\n      <th>D_76</th>\n      <th>B_24</th>\n      <th>R_7</th>\n      <th>D_77</th>\n      <th>B_25</th>\n      <th>B_26</th>\n      <th>D_78</th>\n      <th>D_79</th>\n      <th>R_8</th>\n      <th>R_9</th>\n      <th>S_16</th>\n      <th>D_80</th>\n      <th>R_10</th>\n      <th>R_11</th>\n      <th>B_27</th>\n      <th>D_81</th>\n      <th>D_82</th>\n      <th>S_17</th>\n      <th>R_12</th>\n      <th>B_28</th>\n      <th>R_13</th>\n      <th>D_83</th>\n      <th>R_14</th>\n      <th>R_15</th>\n      <th>D_84</th>\n      <th>R_16</th>\n      <th>B_29</th>\n      <th>B_30</th>\n      <th>S_18</th>\n      <th>D_86</th>\n      <th>D_87</th>\n      <th>R_17</th>\n      <th>R_18</th>\n      <th>D_88</th>\n      <th>B_31</th>\n      <th>S_19</th>\n      <th>R_19</th>\n      <th>B_32</th>\n      <th>S_20</th>\n      <th>R_20</th>\n      <th>R_21</th>\n      <th>B_33</th>\n      <th>D_89</th>\n      <th>R_22</th>\n      <th>R_23</th>\n      <th>D_91</th>\n      <th>D_92</th>\n      <th>D_93</th>\n      <th>D_94</th>\n      <th>R_24</th>\n      <th>R_25</th>\n      <th>D_96</th>\n      <th>S_22</th>\n      <th>S_23</th>\n      <th>S_24</th>\n      <th>S_25</th>\n      <th>S_26</th>\n      <th>D_102</th>\n      <th>D_103</th>\n      <th>D_104</th>\n      <th>D_105</th>\n      <th>D_106</th>\n      <th>D_107</th>\n      <th>B_36</th>\n      <th>B_37</th>\n      <th>R_26</th>\n      <th>R_27</th>\n      <th>B_38</th>\n      <th>D_108</th>\n      <th>D_109</th>\n      <th>D_110</th>\n      <th>D_111</th>\n      <th>B_39</th>\n      <th>D_112</th>\n      <th>B_40</th>\n      <th>S_27</th>\n      <th>D_113</th>\n      <th>D_114</th>\n      <th>D_115</th>\n      <th>D_116</th>\n      <th>D_117</th>\n      <th>D_118</th>\n      <th>D_119</th>\n      <th>D_120</th>\n      <th>D_121</th>\n      <th>D_122</th>\n      <th>D_123</th>\n      <th>D_124</th>\n      <th>D_125</th>\n      <th>D_126</th>\n      <th>D_127</th>\n      <th>D_128</th>\n      <th>D_129</th>\n      <th>B_41</th>\n      <th>B_42</th>\n      <th>D_130</th>\n      <th>D_131</th>\n      <th>D_132</th>\n      <th>D_133</th>\n      <th>R_28</th>\n      <th>D_134</th>\n      <th>D_135</th>\n      <th>D_136</th>\n      <th>D_137</th>\n      <th>D_138</th>\n      <th>D_139</th>\n      <th>D_140</th>\n      <th>D_141</th>\n      <th>D_142</th>\n      <th>D_143</th>\n      <th>D_144</th>\n      <th>D_145</th>\n      <th>target</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...</td>\n      <td>2017-03-09</td>\n      <td>0.938469</td>\n      <td>0.001733</td>\n      <td>0.008724</td>\n      <td>1.006838</td>\n      <td>0.009228</td>\n      <td>0.124035</td>\n      <td>0.008771</td>\n      <td>0.004709</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000630</td>\n      <td>0.080986</td>\n      <td>0.708906</td>\n      <td>0.170600</td>\n      <td>0.006204</td>\n      <td>0.358587</td>\n      <td>0.525351</td>\n      <td>0.255736</td>\n      <td>NaN</td>\n      <td>0.063902</td>\n      <td>0.059416</td>\n      <td>0.006466</td>\n      <td>0.148698</td>\n      <td>1.335856</td>\n      <td>0.008207</td>\n      <td>0.001423</td>\n      <td>0.207334</td>\n      <td>0.736463</td>\n      <td>0.096219</td>\n      <td>NaN</td>\n      <td>0.023381</td>\n      <td>0.002768</td>\n      <td>0.008322</td>\n      <td>1.001519</td>\n      <td>0.008298</td>\n      <td>0.161345</td>\n      <td>0.148266</td>\n      <td>0.922998</td>\n      <td>0.354596</td>\n      <td>0.152025</td>\n      <td>0.118075</td>\n      <td>0.001882</td>\n      <td>0.158612</td>\n      <td>0.065728</td>\n      <td>0.018385</td>\n      <td>0.063646</td>\n      <td>0.199617</td>\n      <td>0.308233</td>\n      <td>0.016361</td>\n      <td>0.401619</td>\n      <td>0.091071</td>\n      <td>CR</td>\n      <td>O</td>\n      <td>0.007126</td>\n      <td>0.007665</td>\n      <td>NaN</td>\n      <td>0.652984</td>\n      <td>0.008520</td>\n      <td>NaN</td>\n      <td>0.004730</td>\n      <td>6.0</td>\n      <td>0.272008</td>\n      <td>0.008363</td>\n      <td>0.515222</td>\n      <td>0.002644</td>\n      <td>0.009013</td>\n      <td>0.004808</td>\n      <td>0.008342</td>\n      <td>0.119403</td>\n      <td>0.004802</td>\n      <td>0.108271</td>\n      <td>0.050882</td>\n      <td>NaN</td>\n      <td>0.007554</td>\n      <td>0.080422</td>\n      <td>0.069067</td>\n      <td>NaN</td>\n      <td>0.004327</td>\n      <td>0.007562</td>\n      <td>NaN</td>\n      <td>0.007729</td>\n      <td>0.000272</td>\n      <td>0.001576</td>\n      <td>0.004239</td>\n      <td>0.001434</td>\n      <td>NaN</td>\n      <td>0.002271</td>\n      <td>0.004061</td>\n      <td>0.007121</td>\n      <td>0.002456</td>\n      <td>0.002310</td>\n      <td>0.003532</td>\n      <td>0.506612</td>\n      <td>0.008033</td>\n      <td>1.009825</td>\n      <td>0.084683</td>\n      <td>0.003820</td>\n      <td>0.007043</td>\n      <td>0.000438</td>\n      <td>0.006452</td>\n      <td>0.000830</td>\n      <td>0.005055</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.005720</td>\n      <td>0.007084</td>\n      <td>NaN</td>\n      <td>0.000198</td>\n      <td>0.008907</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.002537</td>\n      <td>0.005177</td>\n      <td>0.006626</td>\n      <td>0.009705</td>\n      <td>0.007782</td>\n      <td>0.002450</td>\n      <td>1.001101</td>\n      <td>0.002665</td>\n      <td>0.007479</td>\n      <td>0.006893</td>\n      <td>1.503673</td>\n      <td>1.006133</td>\n      <td>0.003569</td>\n      <td>0.008871</td>\n      <td>0.003950</td>\n      <td>0.003647</td>\n      <td>0.004950</td>\n      <td>0.894090</td>\n      <td>0.135561</td>\n      <td>0.911191</td>\n      <td>0.974539</td>\n      <td>0.001243</td>\n      <td>0.766688</td>\n      <td>1.008691</td>\n      <td>1.004587</td>\n      <td>0.893734</td>\n      <td>NaN</td>\n      <td>0.670041</td>\n      <td>0.009968</td>\n      <td>0.004572</td>\n      <td>NaN</td>\n      <td>1.008949</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.004326</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.007336</td>\n      <td>0.210060</td>\n      <td>0.676922</td>\n      <td>0.007871</td>\n      <td>1.0</td>\n      <td>0.238250</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.232120</td>\n      <td>0.236266</td>\n      <td>0.0</td>\n      <td>0.702280</td>\n      <td>0.434345</td>\n      <td>0.003057</td>\n      <td>0.686516</td>\n      <td>0.008740</td>\n      <td>1.0</td>\n      <td>1.003319</td>\n      <td>1.007819</td>\n      <td>1.000080</td>\n      <td>0.006805</td>\n      <td>NaN</td>\n      <td>0.002052</td>\n      <td>0.005972</td>\n      <td>NaN</td>\n      <td>0.004345</td>\n      <td>0.001535</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002427</td>\n      <td>0.003706</td>\n      <td>0.003818</td>\n      <td>NaN</td>\n      <td>0.000569</td>\n      <td>0.000610</td>\n      <td>0.002674</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...</td>\n      <td>2017-04-07</td>\n      <td>0.936665</td>\n      <td>0.005775</td>\n      <td>0.004923</td>\n      <td>1.000653</td>\n      <td>0.006151</td>\n      <td>0.126750</td>\n      <td>0.000798</td>\n      <td>0.002714</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002526</td>\n      <td>0.069419</td>\n      <td>0.712795</td>\n      <td>0.113239</td>\n      <td>0.006206</td>\n      <td>0.353630</td>\n      <td>0.521311</td>\n      <td>0.223329</td>\n      <td>NaN</td>\n      <td>0.065261</td>\n      <td>0.057744</td>\n      <td>0.001614</td>\n      <td>0.149723</td>\n      <td>1.339794</td>\n      <td>0.008373</td>\n      <td>0.001984</td>\n      <td>0.202778</td>\n      <td>0.720886</td>\n      <td>0.099804</td>\n      <td>NaN</td>\n      <td>0.030599</td>\n      <td>0.002749</td>\n      <td>0.002482</td>\n      <td>1.009033</td>\n      <td>0.005136</td>\n      <td>0.140951</td>\n      <td>0.143530</td>\n      <td>0.919414</td>\n      <td>0.326757</td>\n      <td>0.156201</td>\n      <td>0.118737</td>\n      <td>0.001610</td>\n      <td>0.148459</td>\n      <td>0.093935</td>\n      <td>0.013035</td>\n      <td>0.065501</td>\n      <td>0.151387</td>\n      <td>0.265026</td>\n      <td>0.017688</td>\n      <td>0.406326</td>\n      <td>0.086805</td>\n      <td>CR</td>\n      <td>O</td>\n      <td>0.002413</td>\n      <td>0.007148</td>\n      <td>NaN</td>\n      <td>0.647093</td>\n      <td>0.002238</td>\n      <td>NaN</td>\n      <td>0.003879</td>\n      <td>6.0</td>\n      <td>0.188970</td>\n      <td>0.004030</td>\n      <td>0.509048</td>\n      <td>0.004193</td>\n      <td>0.007842</td>\n      <td>0.001283</td>\n      <td>0.006524</td>\n      <td>0.140611</td>\n      <td>0.000094</td>\n      <td>0.101018</td>\n      <td>0.040469</td>\n      <td>NaN</td>\n      <td>0.004832</td>\n      <td>0.081413</td>\n      <td>0.074166</td>\n      <td>NaN</td>\n      <td>0.004203</td>\n      <td>0.005304</td>\n      <td>NaN</td>\n      <td>0.001864</td>\n      <td>0.000979</td>\n      <td>0.009896</td>\n      <td>0.007597</td>\n      <td>0.000509</td>\n      <td>NaN</td>\n      <td>0.009810</td>\n      <td>0.000127</td>\n      <td>0.005966</td>\n      <td>0.000395</td>\n      <td>0.001327</td>\n      <td>0.007773</td>\n      <td>0.500855</td>\n      <td>0.000760</td>\n      <td>1.009461</td>\n      <td>0.081843</td>\n      <td>0.000347</td>\n      <td>0.007789</td>\n      <td>0.004311</td>\n      <td>0.002332</td>\n      <td>0.009469</td>\n      <td>0.003753</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.007584</td>\n      <td>0.006677</td>\n      <td>NaN</td>\n      <td>0.001142</td>\n      <td>0.005907</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.008427</td>\n      <td>0.008979</td>\n      <td>0.001854</td>\n      <td>0.009924</td>\n      <td>0.005987</td>\n      <td>0.002247</td>\n      <td>1.006779</td>\n      <td>0.002508</td>\n      <td>0.006827</td>\n      <td>0.002837</td>\n      <td>1.503577</td>\n      <td>1.005791</td>\n      <td>0.000571</td>\n      <td>0.000391</td>\n      <td>0.008351</td>\n      <td>0.008850</td>\n      <td>0.003180</td>\n      <td>0.902135</td>\n      <td>0.136333</td>\n      <td>0.919876</td>\n      <td>0.975625</td>\n      <td>0.004561</td>\n      <td>0.786007</td>\n      <td>1.000084</td>\n      <td>1.004118</td>\n      <td>0.906841</td>\n      <td>NaN</td>\n      <td>0.668647</td>\n      <td>0.003921</td>\n      <td>0.004654</td>\n      <td>NaN</td>\n      <td>1.003205</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.008707</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.007653</td>\n      <td>0.184093</td>\n      <td>0.822281</td>\n      <td>0.003444</td>\n      <td>1.0</td>\n      <td>0.247217</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.243532</td>\n      <td>0.241885</td>\n      <td>0.0</td>\n      <td>0.707017</td>\n      <td>0.430501</td>\n      <td>0.001306</td>\n      <td>0.686414</td>\n      <td>0.000755</td>\n      <td>1.0</td>\n      <td>1.008394</td>\n      <td>1.004333</td>\n      <td>1.008344</td>\n      <td>0.004407</td>\n      <td>NaN</td>\n      <td>0.001034</td>\n      <td>0.004838</td>\n      <td>NaN</td>\n      <td>0.007495</td>\n      <td>0.004931</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003954</td>\n      <td>0.003167</td>\n      <td>0.005032</td>\n      <td>NaN</td>\n      <td>0.009576</td>\n      <td>0.005492</td>\n      <td>0.009217</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...</td>\n      <td>2017-05-28</td>\n      <td>0.954180</td>\n      <td>0.091505</td>\n      <td>0.021655</td>\n      <td>1.009672</td>\n      <td>0.006815</td>\n      <td>0.123977</td>\n      <td>0.007598</td>\n      <td>0.009423</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.007605</td>\n      <td>0.068839</td>\n      <td>0.720884</td>\n      <td>0.060492</td>\n      <td>0.003259</td>\n      <td>0.334650</td>\n      <td>0.524568</td>\n      <td>0.189424</td>\n      <td>NaN</td>\n      <td>0.066982</td>\n      <td>0.056647</td>\n      <td>0.005126</td>\n      <td>0.151955</td>\n      <td>1.337179</td>\n      <td>0.009355</td>\n      <td>0.007426</td>\n      <td>0.206629</td>\n      <td>0.738044</td>\n      <td>0.134073</td>\n      <td>NaN</td>\n      <td>0.048367</td>\n      <td>0.010077</td>\n      <td>0.000530</td>\n      <td>1.009184</td>\n      <td>0.006961</td>\n      <td>0.112229</td>\n      <td>0.137014</td>\n      <td>1.001977</td>\n      <td>0.304124</td>\n      <td>0.153795</td>\n      <td>0.114534</td>\n      <td>0.006328</td>\n      <td>0.139504</td>\n      <td>0.084757</td>\n      <td>0.056653</td>\n      <td>0.070607</td>\n      <td>0.305883</td>\n      <td>0.212165</td>\n      <td>0.063955</td>\n      <td>0.406768</td>\n      <td>0.094001</td>\n      <td>CR</td>\n      <td>O</td>\n      <td>0.001878</td>\n      <td>0.003636</td>\n      <td>NaN</td>\n      <td>0.645819</td>\n      <td>0.000408</td>\n      <td>NaN</td>\n      <td>0.004578</td>\n      <td>6.0</td>\n      <td>0.495308</td>\n      <td>0.006838</td>\n      <td>0.679257</td>\n      <td>0.001337</td>\n      <td>0.006025</td>\n      <td>0.009393</td>\n      <td>0.002615</td>\n      <td>0.075868</td>\n      <td>0.007152</td>\n      <td>0.103239</td>\n      <td>0.047454</td>\n      <td>NaN</td>\n      <td>0.006561</td>\n      <td>0.078891</td>\n      <td>0.076510</td>\n      <td>NaN</td>\n      <td>0.001782</td>\n      <td>0.001422</td>\n      <td>NaN</td>\n      <td>0.005419</td>\n      <td>0.006149</td>\n      <td>0.009629</td>\n      <td>0.003094</td>\n      <td>0.008295</td>\n      <td>NaN</td>\n      <td>0.009362</td>\n      <td>0.000954</td>\n      <td>0.005447</td>\n      <td>0.007345</td>\n      <td>0.007624</td>\n      <td>0.008811</td>\n      <td>0.504606</td>\n      <td>0.004056</td>\n      <td>1.004291</td>\n      <td>0.081954</td>\n      <td>0.002709</td>\n      <td>0.004093</td>\n      <td>0.007139</td>\n      <td>0.008358</td>\n      <td>0.002325</td>\n      <td>0.007381</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.005901</td>\n      <td>0.001185</td>\n      <td>NaN</td>\n      <td>0.008013</td>\n      <td>0.008882</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.007327</td>\n      <td>0.002016</td>\n      <td>0.008686</td>\n      <td>0.008446</td>\n      <td>0.007291</td>\n      <td>0.007794</td>\n      <td>1.001014</td>\n      <td>0.009634</td>\n      <td>0.009820</td>\n      <td>0.005080</td>\n      <td>1.503359</td>\n      <td>1.005801</td>\n      <td>0.007425</td>\n      <td>0.009234</td>\n      <td>0.002471</td>\n      <td>0.009769</td>\n      <td>0.005433</td>\n      <td>0.939654</td>\n      <td>0.134938</td>\n      <td>0.958699</td>\n      <td>0.974067</td>\n      <td>0.011736</td>\n      <td>0.806840</td>\n      <td>1.003014</td>\n      <td>1.009285</td>\n      <td>0.928719</td>\n      <td>NaN</td>\n      <td>0.670901</td>\n      <td>0.001264</td>\n      <td>0.019176</td>\n      <td>NaN</td>\n      <td>1.000754</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.004092</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.004312</td>\n      <td>0.154837</td>\n      <td>0.853498</td>\n      <td>0.003269</td>\n      <td>1.0</td>\n      <td>0.239867</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.240768</td>\n      <td>0.239710</td>\n      <td>0.0</td>\n      <td>0.704843</td>\n      <td>0.434409</td>\n      <td>0.003954</td>\n      <td>0.690101</td>\n      <td>0.009617</td>\n      <td>1.0</td>\n      <td>1.009307</td>\n      <td>1.007831</td>\n      <td>1.006878</td>\n      <td>0.003221</td>\n      <td>NaN</td>\n      <td>0.005681</td>\n      <td>0.005497</td>\n      <td>NaN</td>\n      <td>0.009227</td>\n      <td>0.009123</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003269</td>\n      <td>0.007329</td>\n      <td>0.000427</td>\n      <td>NaN</td>\n      <td>0.003429</td>\n      <td>0.006986</td>\n      <td>0.002603</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...</td>\n      <td>2017-06-13</td>\n      <td>0.960384</td>\n      <td>0.002455</td>\n      <td>0.013683</td>\n      <td>1.002700</td>\n      <td>0.001373</td>\n      <td>0.117169</td>\n      <td>0.000685</td>\n      <td>0.005531</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.006406</td>\n      <td>0.055630</td>\n      <td>0.723997</td>\n      <td>0.166782</td>\n      <td>0.009918</td>\n      <td>0.323271</td>\n      <td>0.530929</td>\n      <td>0.135586</td>\n      <td>NaN</td>\n      <td>0.083720</td>\n      <td>0.049253</td>\n      <td>0.001418</td>\n      <td>0.151219</td>\n      <td>1.339909</td>\n      <td>0.006782</td>\n      <td>0.003515</td>\n      <td>0.208214</td>\n      <td>0.741813</td>\n      <td>0.134437</td>\n      <td>NaN</td>\n      <td>0.030063</td>\n      <td>0.009667</td>\n      <td>0.000783</td>\n      <td>1.007455</td>\n      <td>0.008706</td>\n      <td>0.102838</td>\n      <td>0.129017</td>\n      <td>0.704016</td>\n      <td>0.275055</td>\n      <td>0.155772</td>\n      <td>0.120740</td>\n      <td>0.004980</td>\n      <td>0.138100</td>\n      <td>0.048382</td>\n      <td>0.012498</td>\n      <td>0.065926</td>\n      <td>0.273553</td>\n      <td>0.204300</td>\n      <td>0.022732</td>\n      <td>0.405175</td>\n      <td>0.094854</td>\n      <td>CR</td>\n      <td>O</td>\n      <td>0.005899</td>\n      <td>0.005896</td>\n      <td>NaN</td>\n      <td>0.654358</td>\n      <td>0.005897</td>\n      <td>NaN</td>\n      <td>0.005207</td>\n      <td>6.0</td>\n      <td>0.508670</td>\n      <td>0.008183</td>\n      <td>0.515282</td>\n      <td>0.008716</td>\n      <td>0.005271</td>\n      <td>0.004554</td>\n      <td>0.002052</td>\n      <td>0.150209</td>\n      <td>0.005364</td>\n      <td>0.206394</td>\n      <td>0.031705</td>\n      <td>NaN</td>\n      <td>0.009559</td>\n      <td>0.077490</td>\n      <td>0.071547</td>\n      <td>NaN</td>\n      <td>0.005595</td>\n      <td>0.006363</td>\n      <td>NaN</td>\n      <td>0.000646</td>\n      <td>0.009193</td>\n      <td>0.008568</td>\n      <td>0.003895</td>\n      <td>0.005153</td>\n      <td>NaN</td>\n      <td>0.004876</td>\n      <td>0.005665</td>\n      <td>0.001888</td>\n      <td>0.004961</td>\n      <td>0.000034</td>\n      <td>0.004652</td>\n      <td>0.508998</td>\n      <td>0.006969</td>\n      <td>1.004728</td>\n      <td>0.060634</td>\n      <td>0.009982</td>\n      <td>0.008817</td>\n      <td>0.008690</td>\n      <td>0.007364</td>\n      <td>0.005924</td>\n      <td>0.008802</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.002520</td>\n      <td>0.003324</td>\n      <td>NaN</td>\n      <td>0.009455</td>\n      <td>0.008348</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.007053</td>\n      <td>0.003909</td>\n      <td>0.002478</td>\n      <td>0.006614</td>\n      <td>0.009977</td>\n      <td>0.007686</td>\n      <td>1.002775</td>\n      <td>0.007791</td>\n      <td>0.000458</td>\n      <td>0.007320</td>\n      <td>1.503701</td>\n      <td>1.007036</td>\n      <td>0.000664</td>\n      <td>0.003200</td>\n      <td>0.008507</td>\n      <td>0.004858</td>\n      <td>0.000063</td>\n      <td>0.913205</td>\n      <td>0.140058</td>\n      <td>0.926341</td>\n      <td>0.975499</td>\n      <td>0.007571</td>\n      <td>0.808214</td>\n      <td>1.001517</td>\n      <td>1.004514</td>\n      <td>0.935383</td>\n      <td>NaN</td>\n      <td>0.672620</td>\n      <td>0.002729</td>\n      <td>0.011720</td>\n      <td>NaN</td>\n      <td>1.005338</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.009703</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.002538</td>\n      <td>0.153939</td>\n      <td>0.844667</td>\n      <td>0.000053</td>\n      <td>1.0</td>\n      <td>0.240910</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.239400</td>\n      <td>0.240727</td>\n      <td>0.0</td>\n      <td>0.711546</td>\n      <td>0.436903</td>\n      <td>0.005135</td>\n      <td>0.687779</td>\n      <td>0.004649</td>\n      <td>1.0</td>\n      <td>1.001671</td>\n      <td>1.003460</td>\n      <td>1.007573</td>\n      <td>0.007703</td>\n      <td>NaN</td>\n      <td>0.007108</td>\n      <td>0.008261</td>\n      <td>NaN</td>\n      <td>0.007206</td>\n      <td>0.002409</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.006117</td>\n      <td>0.004516</td>\n      <td>0.003200</td>\n      <td>NaN</td>\n      <td>0.008419</td>\n      <td>0.006527</td>\n      <td>0.009600</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0000099d6bd597052cdcda90ffabf56573fe9d7c79be5f...</td>\n      <td>2017-07-16</td>\n      <td>0.947248</td>\n      <td>0.002483</td>\n      <td>0.015193</td>\n      <td>1.000727</td>\n      <td>0.007605</td>\n      <td>0.117325</td>\n      <td>0.004653</td>\n      <td>0.009312</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.007731</td>\n      <td>0.038862</td>\n      <td>0.720619</td>\n      <td>0.143630</td>\n      <td>0.006667</td>\n      <td>0.231009</td>\n      <td>0.529305</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.075900</td>\n      <td>0.048918</td>\n      <td>0.001199</td>\n      <td>0.154026</td>\n      <td>1.341735</td>\n      <td>0.000519</td>\n      <td>0.001362</td>\n      <td>0.205468</td>\n      <td>0.691986</td>\n      <td>0.121518</td>\n      <td>NaN</td>\n      <td>0.054221</td>\n      <td>0.009484</td>\n      <td>0.006698</td>\n      <td>1.003738</td>\n      <td>0.003846</td>\n      <td>0.094311</td>\n      <td>0.129539</td>\n      <td>0.917133</td>\n      <td>0.231110</td>\n      <td>0.154914</td>\n      <td>0.095178</td>\n      <td>0.001653</td>\n      <td>0.126443</td>\n      <td>0.039259</td>\n      <td>0.027897</td>\n      <td>0.063697</td>\n      <td>0.233103</td>\n      <td>0.175655</td>\n      <td>0.031171</td>\n      <td>0.487460</td>\n      <td>0.093915</td>\n      <td>CR</td>\n      <td>O</td>\n      <td>0.009479</td>\n      <td>0.001714</td>\n      <td>NaN</td>\n      <td>0.650112</td>\n      <td>0.007773</td>\n      <td>NaN</td>\n      <td>0.005851</td>\n      <td>6.0</td>\n      <td>0.216507</td>\n      <td>0.008605</td>\n      <td>0.507712</td>\n      <td>0.006821</td>\n      <td>0.000152</td>\n      <td>0.000104</td>\n      <td>0.001419</td>\n      <td>0.096441</td>\n      <td>0.007972</td>\n      <td>0.106020</td>\n      <td>0.032733</td>\n      <td>NaN</td>\n      <td>0.008156</td>\n      <td>0.076561</td>\n      <td>0.074432</td>\n      <td>NaN</td>\n      <td>0.004933</td>\n      <td>0.004831</td>\n      <td>NaN</td>\n      <td>0.001833</td>\n      <td>0.005738</td>\n      <td>0.003289</td>\n      <td>0.002608</td>\n      <td>0.007338</td>\n      <td>NaN</td>\n      <td>0.007447</td>\n      <td>0.004465</td>\n      <td>0.006111</td>\n      <td>0.002246</td>\n      <td>0.002109</td>\n      <td>0.001141</td>\n      <td>0.506213</td>\n      <td>0.001770</td>\n      <td>1.000904</td>\n      <td>0.062492</td>\n      <td>0.005860</td>\n      <td>0.001845</td>\n      <td>0.007816</td>\n      <td>0.002470</td>\n      <td>0.005516</td>\n      <td>0.007166</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.000155</td>\n      <td>0.001504</td>\n      <td>NaN</td>\n      <td>0.002019</td>\n      <td>0.002678</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.007728</td>\n      <td>0.003432</td>\n      <td>0.002199</td>\n      <td>0.005511</td>\n      <td>0.004105</td>\n      <td>0.009656</td>\n      <td>1.006536</td>\n      <td>0.005158</td>\n      <td>0.003341</td>\n      <td>0.000264</td>\n      <td>1.509905</td>\n      <td>1.002915</td>\n      <td>0.003079</td>\n      <td>0.003845</td>\n      <td>0.007190</td>\n      <td>0.002983</td>\n      <td>0.000535</td>\n      <td>0.921026</td>\n      <td>0.131620</td>\n      <td>0.933479</td>\n      <td>0.978027</td>\n      <td>0.018200</td>\n      <td>0.822281</td>\n      <td>1.006125</td>\n      <td>1.005735</td>\n      <td>0.953363</td>\n      <td>NaN</td>\n      <td>0.673869</td>\n      <td>0.009998</td>\n      <td>0.017598</td>\n      <td>NaN</td>\n      <td>1.003175</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.009120</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.000130</td>\n      <td>0.120717</td>\n      <td>0.811199</td>\n      <td>0.008724</td>\n      <td>1.0</td>\n      <td>0.247939</td>\n      <td>0.0</td>\n      <td>4.0</td>\n      <td>0.244199</td>\n      <td>0.242325</td>\n      <td>0.0</td>\n      <td>0.705343</td>\n      <td>0.437433</td>\n      <td>0.002849</td>\n      <td>0.688774</td>\n      <td>0.000097</td>\n      <td>1.0</td>\n      <td>1.009886</td>\n      <td>1.005053</td>\n      <td>1.008132</td>\n      <td>0.009823</td>\n      <td>NaN</td>\n      <td>0.009680</td>\n      <td>0.004848</td>\n      <td>NaN</td>\n      <td>0.006312</td>\n      <td>0.004462</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003671</td>\n      <td>0.004946</td>\n      <td>0.008889</td>\n      <td>NaN</td>\n      <td>0.001670</td>\n      <td>0.008126</td>\n      <td>0.009827</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}