example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dataset Generation Example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandasgen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Generate a dataset with base artifact size of 100 rows and 10 columns, with a workflow of 20 versions (artifacts)\n",
    "# and a branching factor (scale=1.5), csv files are written out to directory called 'dataset'\n",
    "ds,errors = pandasgen.generate__dataset((10000,10), 20, scale=1.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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kSeVVrsm+ln0lSZIkSZKko1woFCIYDDJ+/HhmzJhBo0aNKCgo4JlnniE2NpYZM2Zw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\nsrMt+0qSJJWRY2IkSZIkSZKOQDgcZtGiRfTt25ef//zn9OjRg08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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4a35bd3ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize this workflow\n",
    "ds.lineage.draw_graph(canvas_size=(50,50))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('0', '1')\n",
      "('0', '2')\n",
      "('0', '3')\n",
      "('3', '4')\n",
      "('3', '5')\n",
      "('4', '8')\n",
      "('5', '6')\n",
      "('6', '7')\n",
      "('7', '11')\n",
      "('8', '9')\n",
      "('8', '10')\n",
      "('9', '13')\n",
      "('11', '12')\n",
      "('13', '14')\n",
      "('14', '15')\n",
      "('14', '16')\n",
      "('15', '17')\n",
      "('17', '18')\n",
      "('17', '19')\n"
     ]
    }
   ],
   "source": [
    "for e in ds.lineage.graph.edges:\n",
    "    print (e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[     0   1   2   3   4   5   6   7   8   9\n",
       " 0    7  48  47   1  80   9  79  50  58  96\n",
       " 1   79  97   9  64  82  55  40  68  41  92\n",
       " 2   69  23  10  22  89  79  23  32  97  47\n",
       " 3   68   2  28  44  71  94  24  63  54  72\n",
       " 4   57  31   3  52  44  42  25  91  54  43\n",
       " 5   45  85  91  93  19  79  25  27  76  83\n",
       " 6   72  16  87   7  42   7  91   8  74  53\n",
       " 7   39  17  74  56  18  86  59  40  32  83\n",
       " 8   37  31  28  69  19  66  71   2  29   8\n",
       " 9   30  10  37  30  56  27  51  96   0  44\n",
       " 10  21  55  95  89   5  75  75  70   7  26\n",
       " 11  34   8  76  21  81  28  51  64  39  95\n",
       " 12  80   5  89  80  11  76  28  82  43  78\n",
       " 13  23  70  54  60  47  42  27  97  58  53\n",
       " 14   7  11  58  36  74  23  90  11  61  44\n",
       " 15  59  77  21  39  32  61  43  84  26  51\n",
       " 16  71  96   4  90  98  65  35  73  69   8\n",
       " 17  48   4  88  86   1  37  86  31  40  28\n",
       " 18  24  99  51  37  41  67  82  23  27  21\n",
       " 19  21  90  65   0  93  84  76  19  92  68\n",
       " 20  21  31  52  85  15  97  42   1  76  29\n",
       " 21  77  47  93  87  16  86  11   4  64   7\n",
       " 22  58   3  80  15  61  65  19  97  49  35\n",
       " 23  21  85  62  84  75  11  90  32  12  50\n",
       " 24  37  94  13  29  73  94  61  73  12  75\n",
       " 25  84  41  47  69  24  25  42  15  22  76\n",
       " 26  36  50  53  59  13  58  88  77  30  84\n",
       " 27  34  66  70   6  90  77  38   6  97  21\n",
       " 28  44  94  19  21  86  13  85  95  56  13\n",
       " 29  44  59  26  72  80  82  70  21  44  83\n",
       " ..  ..  ..  ..  ..  ..  ..  ..  ..  ..  ..\n",
       " 70  26  87   6  47  91  94  43  77  70  94\n",
       " 71  62  83   1   7  89  86  59  16  52  16\n",
       " 72  59  69  89  49  70  18  52  69  68  83\n",
       " 73  50  28  98   1   9  47  43  39  46  66\n",
       " 74  52  44   2   1  86  61  97  29  18  98\n",
       " 75  49  91  17  36  65  96  27  91  78  74\n",
       " 76  51   2  69  94  78  86  53  41  53  88\n",
       " 77  28  60  26  84  50  50   6   8  66  75\n",
       " 78  76  17  65  62  94  11  84  87  82  70\n",
       " 79  64  42  56   3  65  84  42  44  84  93\n",
       " 80  89  73  94  51  37  75  41  83   2  11\n",
       " 81  73  64   6  54  90   3  22  38  91  83\n",
       " 82   1   7  34   0  86  31  59  15  94  67\n",
       " 83   2  84  33  37  44  33   6  41  74  78\n",
       " 84  97  29  87  18  62  52  27  90  69  34\n",
       " 85  22  25  90   6  84  63  40  14  89  83\n",
       " 86  13  19  71  46  21  65  79  22  89  16\n",
       " 87   1   9  27  35  64  42  27  62  68   1\n",
       " 88   1  61  22  94  91  98  97  70  88  36\n",
       " 89  27  94  77  61  25  69  73  39  20  92\n",
       " 90  99  17  40  46  22  54  82  26  41  64\n",
       " 91  31  82  68  68  73  75  48  81  25  83\n",
       " 92  51  49  26  59  56   2   4  35  63  42\n",
       " 93  44   0  32  95  71  16  11   5   0  16\n",
       " 94  81  16  39  71  18  86  10   0   9  14\n",
       " 95  38  73  81  39  25  26  47  56   6  20\n",
       " 96  85  89  24  90  62  79  86  52   1  98\n",
       " 97  83  70   6  26  43  87  68  63  70  82\n",
       " 98  25  57   7  16  53  96  75   8  85  19\n",
       " 99  28  55  93  82  76  95  45  82  32  46\n",
       " \n",
       " [100 rows x 10 columns],      0   1   2   4   5   6   7   8   9\n",
       " 3                                     \n",
       " 0    1   7  34  86  31  59  15  92  67\n",
       " 1    7  28   2   9   9  43  29  18  66\n",
       " 3   64  42  56  65  84  42  44  84  93\n",
       " 6    5  25  70  25  33  38   6  56  19\n",
       " 7   62  16   1  42   7  59   8  52  16\n",
       " 10  87   5  83  99  75  64  72  51  26\n",
       " 11  99  79   0  14  82  31  75  12  78\n",
       " 13  82  19  68  77  86  21  95  83  62\n",
       " 15  58   3  80  61  65  19  97  49  35\n",
       " 16  25  57   7  53  96  75   8  85  19\n",
       " 18  97  29  87  62  52  27  90  69  34\n",
       " 19  12  85  56  68  48  86  54  82  87\n",
       " 20  16  59  53  24  46  54  95  23  47\n",
       " 21  34   8  19  81  13  51  64  39  13\n",
       " 22  69  23  10  89  79  23  32  97  47\n",
       " 24  67  17  45  90  52  36  39  35  33\n",
       " 26  20  70   6  43   7  68  63  69  62\n",
       " 29   3  87  13  73  64  22  27  12  75\n",
       " 30  29  10  37   0  13  40  32   0   0\n",
       " 31  26  20  94  45  59  11   5  17  86\n",
       " 32   0  13  14  38  15  44  23   1  21\n",
       " 34  38  94  16  92  45  31  16  84  60\n",
       " 35   1   9  27  58  14  27  62  15   1\n",
       " 36   7  11  17  65  23  27  11  61  44\n",
       " 37   2  59  33  27  33   6  23  27  17\n",
       " 39  38  71  21  25  23  32  56   6  20\n",
       " 41  57   7  60  61   6   3   1   6  10\n",
       " 44  68   2  28  71  94  24  63  54  72\n",
       " 45  84  69  76  66  15  26   0   9  36\n",
       " 46  13  17  40  21  43  79  22  22  16\n",
       " ..  ..  ..  ..  ..  ..  ..  ..  ..  ..\n",
       " 52  57  31   3  44  42  25  91  54  43\n",
       " 53   1  59  69  72   8  62   6  62  68\n",
       " 54  73  64   6  90   3  22  38  91  83\n",
       " 56  39  17  74  18  86  59  40  32  83\n",
       " 59  36  49  26  13   2   4  35  27  15\n",
       " 60  23  70  54  47  42  27  97  58  53\n",
       " 61  27  94  77  25  69  73  39  20  92\n",
       " 62  76  17  65  94  11  84  87  82  70\n",
       " 64  79  97   9  82  55  40  68  41  92\n",
       " 66  71  88  35  27  62  90  54  18  35\n",
       " 68   6   8  26  27   8   2  79  25  17\n",
       " 69  37  31  28  19  25  42   2  22   8\n",
       " 71  81  16  39  18  86  10   0   9  14\n",
       " 72  44  59  26  80  82  70  21  44  83\n",
       " 76  37  26  76  68  80  57  77  13   4\n",
       " 77   8  18  31  15  20  15  81  13   1\n",
       " 80  26   5  37  11  76  28   5  43  70\n",
       " 81  20  97  25  98  90  26  73  80  28\n",
       " 82  28  55  93  76  95  45  82  32  46\n",
       " 83  96  14  22   3  51   9  10  17  19\n",
       " 84  21  60  26  50  11   6   8  12  50\n",
       " 85  21  31  52   7  31  42   1  63  29\n",
       " 86  48   4  88   1  37  86  31  40  28\n",
       " 87  77  47  93  16  86  11   4  64   7\n",
       " 89  21  55  95   5  75  75  70   7  26\n",
       " 90  58  62   4  62  65  35  52   1   8\n",
       " 93  45  85  91  19  79  25  27  76  83\n",
       " 94   1   2  19  17  75  31  41  31  36\n",
       " 95  44   0  32  71  16  11   5   0  16\n",
       " 99   7  62  48  68  25  70  27  10   5\n",
       " \n",
       " [63 rows x 9 columns],      0   2   3   4   5   6   7   8   9\n",
       " 1                                     \n",
       " 0   44  32  95  71  16  11   5   0  16\n",
       " 2   51  28  44  71  86  24  41  53  72\n",
       " 3   58  80  15  61  65  19  97  49  35\n",
       " 4   48  88  86   1  37  86  31  40  28\n",
       " 5   80  83  10  11  75  28  72  43  26\n",
       " 7    1  34   0  61   6   3   1   6  10\n",
       " 8    6  26  21  27   8   2  64  39  17\n",
       " 9    1  27  35  64  42  27  62  68   1\n",
       " 10  30  37  30  56  27   1  48   0  44\n",
       " 11   7  58  36  74  23  90  11  61  44\n",
       " 13  20  25  32  57  15  93  23  95  21\n",
       " 14  96  22  83   3  51   9  10  17  19\n",
       " 16  72  39   7  18   7  10   0   9  14\n",
       " 17  39  40  24  18  11  36  26  32  33\n",
       " 18   8  31  77  15  20  15  81  13   1\n",
       " 19  13  68  13  21  65  21  22  83  16\n",
       " 20  26  94  31  45  59  11   5  17  86\n",
       " 23  69  10  22  89  79  23  32  97  47\n",
       " 24  99  97  77  84  64  91  94  78   4\n",
       " 25  22  90   6  84  63  40  14  89  83\n",
       " 26  37  76  76  68  80  57  77  13   4\n",
       " 28  50  98   1   9  47  43  39  46  66\n",
       " 29  97  87  18  62  52  27  90  69  34\n",
       " 31  21   3  52  15  42  25   1  29   8\n",
       " 33  89  95   6  45  33  46  86  72  29\n",
       " 37   0  80  30   0  13  40  28   1   0\n",
       " 41  84  47  69  24  25  42  15  22  76\n",
       " 42  64  56   3  65  84  42  44  84  93\n",
       " 43  65  79  35  58  14  96  74  15  31\n",
       " 44  52   2   1  86  61  97  29  18  98\n",
       " ..  ..  ..  ..  ..  ..  ..  ..  ..  ..\n",
       " 57  25   7  16  53  96  75   8  85  19\n",
       " 59   1  26  20  24   8  54   6  23  17\n",
       " 60  28  26  84  50  50   6   8  66  75\n",
       " 61   1  14  32  91  17  97  27  37  36\n",
       " 62   7  32  90  68  25  70  27  10   5\n",
       " 64  73   6  54  90   3  22  38  91  83\n",
       " 66  34  70   6  90  77  38   6  97  21\n",
       " 67  85  92  46  81  43  88  47  22  56\n",
       " 68  48  75  85   7  31  82  35  63  83\n",
       " 69  59  77  45  70  18  52  27  10  47\n",
       " 70  23   6  26  43  30  27  63  56  51\n",
       " 71  81  97  39  84  23  32  56  45  55\n",
       " 73  38  81  39  25  26  41  56   2  11\n",
       " 76   5  81   6  25  43  41  74  56  19\n",
       " 77  59  21  39  32  61  43  84  26  51\n",
       " 79  99   0  11  14  82  31  75  12  78\n",
       " 80  26  37  80  41  79  64   5  47  70\n",
       " 82  31   0  49  73  75  15  48  25  41\n",
       " 83  62   1   7  89  86  59  16  52  16\n",
       " 84   2  18  26  44   7   6   0   9  36\n",
       " 85  12  56  19  19  11  25  27  12  50\n",
       " 87   3   6  29  73  64  22  27  64  93\n",
       " 88  69  35  59  27  56  75  54  18  15\n",
       " 89  85  24  90  62  79  86  52   1  98\n",
       " 90  21  65   0  93  84  76  19  92  68\n",
       " 91  49  17  36  65  96  27  91  78  74\n",
       " 94  27  13  21  25  13  31  16  12  13\n",
       " 96  71   4  90  98  65  35  73  69   8\n",
       " 97  20   9  64  82  55  26  68  41  28\n",
       " 99  24  51  37  41  67  82  23  27  21\n",
       " \n",
       " [66 rows x 9 columns],      0   1   2   4   5   6   7   8   9   3\n",
       " 0   64  42  56  65  84  42  44  84  93   3\n",
       " 1   99  79   0  14  82  31  75  12  78  11\n",
       " 2   58   3  80  61  65  19  97  49  35  15\n",
       " 3   25  57   7  53  96  75   8  85  19  16\n",
       " 4   97  29  87  62  52  27  90  69  34  18\n",
       " 5   69  23  10  89  79  23  32  97  47  22\n",
       " 6   26  20  94  45  59  11   5  17  86  31\n",
       " 7   73  64   6  90   3  22  38  91  83  54\n",
       " 8   37  26  76  68  80  57  77  13   4  76\n",
       " 9    8  18  31  15  20  15  81  13   1  77\n",
       " 10  96  14  22   3  51   9  10  17  19  83\n",
       " 11  48   4  88   1  37  86  31  40  28  86\n",
       " 12  77  47  93  16  86  11   4  64   7  87\n",
       " 13  44   0  32  71  16  11   5   0  16  95,             0          1          2          4          5          6  \\\n",
       " 1   81.500000  60.500000  28.000000  39.500000  83.000000  36.500000   \n",
       " 2   73.666667  41.333333  45.333333  46.666667  77.000000  30.666667   \n",
       " 3   61.500000  45.250000  35.750000  48.250000  81.750000  41.750000   \n",
       " 4   68.600000  42.000000  46.000000  51.000000  75.800000  38.800000   \n",
       " 5   68.666667  38.833333  40.000000  57.333333  76.333333  36.166667   \n",
       " 6   62.571429  36.142857  47.714286  55.571429  73.857143  32.571429   \n",
       " 7   63.875000  39.625000  42.500000  59.875000  65.000000  31.250000   \n",
       " 8   60.888889  38.111111  46.222222  60.777778  66.666667  34.111111   \n",
       " 9   55.600000  36.100000  44.700000  56.200000  62.000000  32.200000   \n",
       " 10  59.272727  34.090909  42.636364  51.363636  61.000000  30.090909   \n",
       " 11  58.333333  31.583333  46.416667  47.166667  59.000000  34.750000   \n",
       " 12  59.769231  32.769231  50.000000  44.769231  61.076923  32.923077   \n",
       " 13  58.642857  30.428571  48.714286  46.642857  57.857143  31.357143   \n",
       " \n",
       "             7          8          9          3  \n",
       " 1   59.500000  48.000000  85.500000   7.000000  \n",
       " 2   72.000000  48.333333  68.666667   9.666667  \n",
       " 3   56.000000  57.500000  56.250000  11.250000  \n",
       " 4   62.800000  59.800000  51.800000  12.600000  \n",
       " 5   57.666667  66.000000  51.000000  14.166667  \n",
       " 6   50.142857  59.000000  56.000000  16.571429  \n",
       " 7   48.625000  63.000000  59.375000  21.250000  \n",
       " 8   51.777778  57.444444  53.222222  27.333333  \n",
       " 9   54.700000  53.000000  48.000000  32.300000  \n",
       " 10  50.636364  49.727273  45.363636  36.909091  \n",
       " 11  49.000000  48.916667  43.916667  41.000000  \n",
       " 12  45.538462  50.076923  41.076923  44.538462  \n",
       " 13  42.642857  46.500000  39.285714  48.142857  ,             0          1          2          4          5          6  \\\n",
       " 2   73.666667  41.333333  45.333333  46.666667  77.000000  30.666667   \n",
       " 3   61.500000  45.250000  35.750000  48.250000  81.750000  41.750000   \n",
       " 4   68.600000  42.000000  46.000000  51.000000  75.800000  38.800000   \n",
       " 5   68.666667  38.833333  40.000000  57.333333  76.333333  36.166667   \n",
       " 6   62.571429  36.142857  47.714286  55.571429  73.857143  32.571429   \n",
       " 7   63.875000  39.625000  42.500000  59.875000  65.000000  31.250000   \n",
       " 8   60.888889  38.111111  46.222222  60.777778  66.666667  34.111111   \n",
       " 9   55.600000  36.100000  44.700000  56.200000  62.000000  32.200000   \n",
       " 10  59.272727  34.090909  42.636364  51.363636  61.000000  30.090909   \n",
       " 11  58.333333  31.583333  46.416667  47.166667  59.000000  34.750000   \n",
       " 12  59.769231  32.769231  50.000000  44.769231  61.076923  32.923077   \n",
       " \n",
       "             7          8          9          3  \n",
       " 2   72.000000  48.333333  68.666667   9.666667  \n",
       " 3   56.000000  57.500000  56.250000  11.250000  \n",
       " 4   62.800000  59.800000  51.800000  12.600000  \n",
       " 5   57.666667  66.000000  51.000000  14.166667  \n",
       " 6   50.142857  59.000000  56.000000  16.571429  \n",
       " 7   48.625000  63.000000  59.375000  21.250000  \n",
       " 8   51.777778  57.444444  53.222222  27.333333  \n",
       " 9   54.700000  53.000000  48.000000  32.300000  \n",
       " 10  50.636364  49.727273  45.363636  36.909091  \n",
       " 11  49.000000  48.916667  43.916667  41.000000  \n",
       " 12  45.538462  50.076923  41.076923  44.538462  ,             0          1          2          4          5          6  \\\n",
       " 4   68.600000  42.000000  46.000000  51.000000  75.800000  38.800000   \n",
       " 5   68.666667  38.833333  40.000000  57.333333  76.333333  36.166667   \n",
       " 6   62.571429  36.142857  47.714286  55.571429  73.857143  32.571429   \n",
       " 7   63.875000  39.625000  42.500000  59.875000  65.000000  31.250000   \n",
       " 8   60.888889  38.111111  46.222222  60.777778  66.666667  34.111111   \n",
       " 9   55.600000  36.100000  44.700000  56.200000  62.000000  32.200000   \n",
       " 10  59.272727  34.090909  42.636364  51.363636  61.000000  30.090909   \n",
       " 11  58.333333  31.583333  46.416667  47.166667  59.000000  34.750000   \n",
       " 12  59.769231  32.769231  50.000000  44.769231  61.076923  32.923077   \n",
       " \n",
       "             7          8          9          3  \n",
       " 4   62.800000  59.800000  51.800000  12.600000  \n",
       " 5   57.666667  66.000000  51.000000  14.166667  \n",
       " 6   50.142857  59.000000  56.000000  16.571429  \n",
       " 7   48.625000  63.000000  59.375000  21.250000  \n",
       " 8   51.777778  57.444444  53.222222  27.333333  \n",
       " 9   54.700000  53.000000  48.000000  32.300000  \n",
       " 10  50.636364  49.727273  45.363636  36.909091  \n",
       " 11  49.000000  48.916667  43.916667  41.000000  \n",
       " 12  45.538462  50.076923  41.076923  44.538462  ,      0   1   2   4   5   6   7   8   9   3      7_assign\n",
       " 0   64  42  56  65  84  42  44  84  93   3  1.285160e+19\n",
       " 1   99  79   0  14  82  31  75  12  78  11  3.733242e+32\n",
       " 2   58   3  80  61  65  19  97  49  35  15  1.338335e+42\n",
       " 3   25  57   7  53  96  75   8  85  19  16  2.980958e+03\n",
       " 4   97  29  87  62  52  27  90  69  34  18  1.220403e+39\n",
       " 5   69  23  10  89  79  23  32  97  47  22  7.896296e+13\n",
       " 6   26  20  94  45  59  11   5  17  86  31  1.484132e+02\n",
       " 7   73  64   6  90   3  22  38  91  83  54  3.185593e+16\n",
       " 8   37  26  76  68  80  57  77  13   4  76  2.758513e+33\n",
       " 9    8  18  31  15  20  15  81  13   1  77  1.506097e+35\n",
       " 10  96  14  22   3  51   9  10  17  19  83  2.202647e+04\n",
       " 11  48   4  88   1  37  86  31  40  28  86  2.904885e+13\n",
       " 12  77  47  93  16  86  11   4  64   7  87  5.459815e+01\n",
       " 13  44   0  32  71  16  11   5   0  16  95  1.484132e+02,      0   1   2   4   5   6   7   8   9   3      7_assign\n",
       " 0   64  42  56  65  84  42  44  84  93   3  1.285160e+19\n",
       " 1   99  79   0  14  82  31  75  12  78  11  3.733242e+32\n",
       " 2   58   3  80  61  65  19  97  49  35  15  1.338335e+42\n",
       " 3   25  57   7  53  96  75   8  85  19  16  2.980958e+03\n",
       " 4   97  29  87  62  52  27  90  69  34  18  1.220403e+39\n",
       " 5   69  23  10  89  79  23  32  97  47  22  7.896296e+13\n",
       " 6   26  20  94  45  59  11   5  17  86  31  1.484132e+02\n",
       " 7   73  64   6  90   3  22  38  91  83  54  3.185593e+16\n",
       " 8   37  26  76  68  80  57  77  13   4  76  2.758513e+33\n",
       " 9    8  18  31  15  20  15  81  13   1  77  1.506097e+35\n",
       " 10  96  14  22   3  51   9  10  17  19  83  2.202647e+04\n",
       " 11  48   4  88   1  37  86  31  40  28  86  2.904885e+13\n",
       " 12  77  47  93  16  86  11   4  64   7  87  5.459815e+01\n",
       " 13  44   0  32  71  16  11   5   0  16  95  1.484132e+02, Empty DataFrame\n",
       " Columns: [0, 1, 2, 4, 5, 6, 7, 8, 9, 3, 7_assign]\n",
       " Index: [], Empty DataFrame\n",
       " Columns: [7_assign, 0, 1, 2, 4, 5, 6, 7, 8, 9, 3]\n",
       " Index: [], Empty DataFrame\n",
       " Columns: [0, 1, 2, 4, 5, 6, 7, 8, 9, 3, 7_assign]\n",
       " Index: [],      0   1   2   4   5   6   7   8   9      7_assign\n",
       " 3                                                   \n",
       " 3   64  42  56  65  84  42  44  84  93  1.285160e+19\n",
       " 11  99  79   0  14  82  31  75  12  78  3.733242e+32\n",
       " 15  58   3  80  61  65  19  97  49  35  1.338335e+42\n",
       " 16  25  57   7  53  96  75   8  85  19  2.980958e+03\n",
       " 18  97  29  87  62  52  27  90  69  34  1.220403e+39\n",
       " 22  69  23  10  89  79  23  32  97  47  7.896296e+13\n",
       " 31  26  20  94  45  59  11   5  17  86  1.484132e+02\n",
       " 54  73  64   6  90   3  22  38  91  83  3.185593e+16\n",
       " 76  37  26  76  68  80  57  77  13   4  2.758513e+33\n",
       " 77   8  18  31  15  20  15  81  13   1  1.506097e+35\n",
       " 83  96  14  22   3  51   9  10  17  19  2.202647e+04\n",
       " 86  48   4  88   1  37  86  31  40  28  2.904885e+13\n",
       " 87  77  47  93  16  86  11   4  64   7  5.459815e+01\n",
       " 95  44   0  32  71  16  11   5   0  16  1.484132e+02,      0   1   2   4   5   6   7   8   9      7_assign\n",
       " 3                                                   \n",
       " 54  73  64   6  90   3  22  38  91  83  3.185593e+16\n",
       " 76  37  26  76  68  80  57  77  13   4  2.758513e+33\n",
       " 77   8  18  31  15  20  15  81  13   1  1.506097e+35,                   _agg\n",
       " 0         1.180000e+02\n",
       " 1         1.080000e+02\n",
       " 2         1.130000e+02\n",
       " 4         1.730000e+02\n",
       " 5         1.030000e+02\n",
       " 6         9.400000e+01\n",
       " 7         1.960000e+02\n",
       " 8         1.170000e+02\n",
       " 9         8.800000e+01\n",
       " 7_assign  1.533682e+35,                   _agg   _agg_assign\n",
       " 0         1.180000e+02  1.765017e+51\n",
       " 1         1.080000e+02  8.013164e+46\n",
       " 2         1.130000e+02  1.189259e+49\n",
       " 4         1.730000e+02  1.358143e+75\n",
       " 5         1.030000e+02  5.399228e+44\n",
       " 6         9.400000e+01  6.663176e+40\n",
       " 7         1.960000e+02  1.323483e+85\n",
       " 8         1.170000e+02  6.493134e+50\n",
       " 9         8.800000e+01  1.651636e+38\n",
       " 7_assign  1.533682e+35           inf,                   _agg   _agg_assign\n",
       " 4         1.730000e+02  1.358143e+75\n",
       " 5         1.730000e+02  1.358143e+75\n",
       " 6         1.730000e+02  1.358143e+75\n",
       " 7         1.960000e+02  1.323483e+85\n",
       " 8         1.960000e+02  1.323483e+85\n",
       " 9         1.960000e+02  1.323483e+85\n",
       " 7_assign  1.533682e+35  1.323483e+85,     _agg   _agg_assign\n",
       " 4  108.0  8.013164e+46\n",
       " 5  103.0  5.399228e+44\n",
       " 6   94.0  6.663176e+40\n",
       " 7   94.0  6.663176e+40\n",
       " 8   94.0  6.663176e+40\n",
       " 9   88.0  1.651636e+38,                _agg\n",
       " _agg_assign        \n",
       " 1.651636e+38   88.0\n",
       " 6.663176e+40  282.0\n",
       " 5.399228e+44  103.0\n",
       " 8.013164e+46  108.0,     _agg   _agg_assign\n",
       " 5  173.0  1.358143e+75\n",
       " 6  173.0  1.358143e+75\n",
       " 7  196.0  1.323483e+85\n",
       " 8  196.0  1.323483e+85\n",
       " 9  196.0  1.323483e+85]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get a list of each table in the dataset\n",
    "ds.dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2</th>\n",
       "      <td>69</td>\n",
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       "      <th>3</th>\n",
       "      <td>68</td>\n",
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       "      <td>71</td>\n",
       "      <td>94</td>\n",
       "      <td>24</td>\n",
       "      <td>63</td>\n",
       "      <td>54</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>57</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
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       "      <td>44</td>\n",
       "      <td>42</td>\n",
       "      <td>25</td>\n",
       "      <td>91</td>\n",
       "      <td>54</td>\n",
       "      <td>43</td>\n",
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       "      <th>5</th>\n",
       "      <td>45</td>\n",
       "      <td>85</td>\n",
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       "      <td>19</td>\n",
       "      <td>79</td>\n",
       "      <td>25</td>\n",
       "      <td>27</td>\n",
       "      <td>76</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>72</td>\n",
       "      <td>16</td>\n",
       "      <td>87</td>\n",
       "      <td>7</td>\n",
       "      <td>42</td>\n",
       "      <td>7</td>\n",
       "      <td>91</td>\n",
       "      <td>8</td>\n",
       "      <td>74</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>39</td>\n",
       "      <td>17</td>\n",
       "      <td>74</td>\n",
       "      <td>56</td>\n",
       "      <td>18</td>\n",
       "      <td>86</td>\n",
       "      <td>59</td>\n",
       "      <td>40</td>\n",
       "      <td>32</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>37</td>\n",
       "      <td>31</td>\n",
       "      <td>28</td>\n",
       "      <td>69</td>\n",
       "      <td>19</td>\n",
       "      <td>66</td>\n",
       "      <td>71</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>30</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>30</td>\n",
       "      <td>56</td>\n",
       "      <td>27</td>\n",
       "      <td>51</td>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>21</td>\n",
       "      <td>55</td>\n",
       "      <td>95</td>\n",
       "      <td>89</td>\n",
       "      <td>5</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>70</td>\n",
       "      <td>7</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>34</td>\n",
       "      <td>8</td>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>81</td>\n",
       "      <td>28</td>\n",
       "      <td>51</td>\n",
       "      <td>64</td>\n",
       "      <td>39</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>80</td>\n",
       "      <td>5</td>\n",
       "      <td>89</td>\n",
       "      <td>80</td>\n",
       "      <td>11</td>\n",
       "      <td>76</td>\n",
       "      <td>28</td>\n",
       "      <td>82</td>\n",
       "      <td>43</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>23</td>\n",
       "      <td>70</td>\n",
       "      <td>54</td>\n",
       "      <td>60</td>\n",
       "      <td>47</td>\n",
       "      <td>42</td>\n",
       "      <td>27</td>\n",
       "      <td>97</td>\n",
       "      <td>58</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>58</td>\n",
       "      <td>36</td>\n",
       "      <td>74</td>\n",
       "      <td>23</td>\n",
       "      <td>90</td>\n",
       "      <td>11</td>\n",
       "      <td>61</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>59</td>\n",
       "      <td>77</td>\n",
       "      <td>21</td>\n",
       "      <td>39</td>\n",
       "      <td>32</td>\n",
       "      <td>61</td>\n",
       "      <td>43</td>\n",
       "      <td>84</td>\n",
       "      <td>26</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>71</td>\n",
       "      <td>96</td>\n",
       "      <td>4</td>\n",
       "      <td>90</td>\n",
       "      <td>98</td>\n",
       "      <td>65</td>\n",
       "      <td>35</td>\n",
       "      <td>73</td>\n",
       "      <td>69</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>48</td>\n",
       "      <td>4</td>\n",
       "      <td>88</td>\n",
       "      <td>86</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>86</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>24</td>\n",
       "      <td>99</td>\n",
       "      <td>51</td>\n",
       "      <td>37</td>\n",
       "      <td>41</td>\n",
       "      <td>67</td>\n",
       "      <td>82</td>\n",
       "      <td>23</td>\n",
       "      <td>27</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>21</td>\n",
       "      <td>90</td>\n",
       "      <td>65</td>\n",
       "      <td>0</td>\n",
       "      <td>93</td>\n",
       "      <td>84</td>\n",
       "      <td>76</td>\n",
       "      <td>19</td>\n",
       "      <td>92</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>31</td>\n",
       "      <td>52</td>\n",
       "      <td>85</td>\n",
       "      <td>15</td>\n",
       "      <td>97</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "      <td>76</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>77</td>\n",
       "      <td>47</td>\n",
       "      <td>93</td>\n",
       "      <td>87</td>\n",
       "      <td>16</td>\n",
       "      <td>86</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>64</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>58</td>\n",
       "      <td>3</td>\n",
       "      <td>80</td>\n",
       "      <td>15</td>\n",
       "      <td>61</td>\n",
       "      <td>65</td>\n",
       "      <td>19</td>\n",
       "      <td>97</td>\n",
       "      <td>49</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>21</td>\n",
       "      <td>85</td>\n",
       "      <td>62</td>\n",
       "      <td>84</td>\n",
       "      <td>75</td>\n",
       "      <td>11</td>\n",
       "      <td>90</td>\n",
       "      <td>32</td>\n",
       "      <td>12</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>37</td>\n",
       "      <td>94</td>\n",
       "      <td>13</td>\n",
       "      <td>29</td>\n",
       "      <td>73</td>\n",
       "      <td>94</td>\n",
       "      <td>61</td>\n",
       "      <td>73</td>\n",
       "      <td>12</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>84</td>\n",
       "      <td>41</td>\n",
       "      <td>47</td>\n",
       "      <td>69</td>\n",
       "      <td>24</td>\n",
       "      <td>25</td>\n",
       "      <td>42</td>\n",
       "      <td>15</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>36</td>\n",
       "      <td>50</td>\n",
       "      <td>53</td>\n",
       "      <td>59</td>\n",
       "      <td>13</td>\n",
       "      <td>58</td>\n",
       "      <td>88</td>\n",
       "      <td>77</td>\n",
       "      <td>30</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>34</td>\n",
       "      <td>66</td>\n",
       "      <td>70</td>\n",
       "      <td>6</td>\n",
       "      <td>90</td>\n",
       "      <td>77</td>\n",
       "      <td>38</td>\n",
       "      <td>6</td>\n",
       "      <td>97</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>44</td>\n",
       "      <td>94</td>\n",
       "      <td>19</td>\n",
       "      <td>21</td>\n",
       "      <td>86</td>\n",
       "      <td>13</td>\n",
       "      <td>85</td>\n",
       "      <td>95</td>\n",
       "      <td>56</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>44</td>\n",
       "      <td>59</td>\n",
       "      <td>26</td>\n",
       "      <td>72</td>\n",
       "      <td>80</td>\n",
       "      <td>82</td>\n",
       "      <td>70</td>\n",
       "      <td>21</td>\n",
       "      <td>44</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>26</td>\n",
       "      <td>87</td>\n",
       "      <td>6</td>\n",
       "      <td>47</td>\n",
       "      <td>91</td>\n",
       "      <td>94</td>\n",
       "      <td>43</td>\n",
       "      <td>77</td>\n",
       "      <td>70</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>62</td>\n",
       "      <td>83</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>89</td>\n",
       "      <td>86</td>\n",
       "      <td>59</td>\n",
       "      <td>16</td>\n",
       "      <td>52</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>59</td>\n",
       "      <td>69</td>\n",
       "      <td>89</td>\n",
       "      <td>49</td>\n",
       "      <td>70</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>69</td>\n",
       "      <td>68</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>50</td>\n",
       "      <td>28</td>\n",
       "      <td>98</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>47</td>\n",
       "      <td>43</td>\n",
       "      <td>39</td>\n",
       "      <td>46</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>52</td>\n",
       "      <td>44</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>86</td>\n",
       "      <td>61</td>\n",
       "      <td>97</td>\n",
       "      <td>29</td>\n",
       "      <td>18</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>49</td>\n",
       "      <td>91</td>\n",
       "      <td>17</td>\n",
       "      <td>36</td>\n",
       "      <td>65</td>\n",
       "      <td>96</td>\n",
       "      <td>27</td>\n",
       "      <td>91</td>\n",
       "      <td>78</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>51</td>\n",
       "      <td>2</td>\n",
       "      <td>69</td>\n",
       "      <td>94</td>\n",
       "      <td>78</td>\n",
       "      <td>86</td>\n",
       "      <td>53</td>\n",
       "      <td>41</td>\n",
       "      <td>53</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>28</td>\n",
       "      <td>60</td>\n",
       "      <td>26</td>\n",
       "      <td>84</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>66</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>76</td>\n",
       "      <td>17</td>\n",
       "      <td>65</td>\n",
       "      <td>62</td>\n",
       "      <td>94</td>\n",
       "      <td>11</td>\n",
       "      <td>84</td>\n",
       "      <td>87</td>\n",
       "      <td>82</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>64</td>\n",
       "      <td>42</td>\n",
       "      <td>56</td>\n",
       "      <td>3</td>\n",
       "      <td>65</td>\n",
       "      <td>84</td>\n",
       "      <td>42</td>\n",
       "      <td>44</td>\n",
       "      <td>84</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>89</td>\n",
       "      <td>73</td>\n",
       "      <td>94</td>\n",
       "      <td>51</td>\n",
       "      <td>37</td>\n",
       "      <td>75</td>\n",
       "      <td>41</td>\n",
       "      <td>83</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>73</td>\n",
       "      <td>64</td>\n",
       "      <td>6</td>\n",
       "      <td>54</td>\n",
       "      <td>90</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>38</td>\n",
       "      <td>91</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>86</td>\n",
       "      <td>31</td>\n",
       "      <td>59</td>\n",
       "      <td>15</td>\n",
       "      <td>94</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2</td>\n",
       "      <td>84</td>\n",
       "      <td>33</td>\n",
       "      <td>37</td>\n",
       "      <td>44</td>\n",
       "      <td>33</td>\n",
       "      <td>6</td>\n",
       "      <td>41</td>\n",
       "      <td>74</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>97</td>\n",
       "      <td>29</td>\n",
       "      <td>87</td>\n",
       "      <td>18</td>\n",
       "      <td>62</td>\n",
       "      <td>52</td>\n",
       "      <td>27</td>\n",
       "      <td>90</td>\n",
       "      <td>69</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>22</td>\n",
       "      <td>25</td>\n",
       "      <td>90</td>\n",
       "      <td>6</td>\n",
       "      <td>84</td>\n",
       "      <td>63</td>\n",
       "      <td>40</td>\n",
       "      <td>14</td>\n",
       "      <td>89</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>13</td>\n",
       "      <td>19</td>\n",
       "      <td>71</td>\n",
       "      <td>46</td>\n",
       "      <td>21</td>\n",
       "      <td>65</td>\n",
       "      <td>79</td>\n",
       "      <td>22</td>\n",
       "      <td>89</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>35</td>\n",
       "      <td>64</td>\n",
       "      <td>42</td>\n",
       "      <td>27</td>\n",
       "      <td>62</td>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>1</td>\n",
       "      <td>61</td>\n",
       "      <td>22</td>\n",
       "      <td>94</td>\n",
       "      <td>91</td>\n",
       "      <td>98</td>\n",
       "      <td>97</td>\n",
       "      <td>70</td>\n",
       "      <td>88</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>27</td>\n",
       "      <td>94</td>\n",
       "      <td>77</td>\n",
       "      <td>61</td>\n",
       "      <td>25</td>\n",
       "      <td>69</td>\n",
       "      <td>73</td>\n",
       "      <td>39</td>\n",
       "      <td>20</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>99</td>\n",
       "      <td>17</td>\n",
       "      <td>40</td>\n",
       "      <td>46</td>\n",
       "      <td>22</td>\n",
       "      <td>54</td>\n",
       "      <td>82</td>\n",
       "      <td>26</td>\n",
       "      <td>41</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>31</td>\n",
       "      <td>82</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>73</td>\n",
       "      <td>75</td>\n",
       "      <td>48</td>\n",
       "      <td>81</td>\n",
       "      <td>25</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>51</td>\n",
       "      <td>49</td>\n",
       "      <td>26</td>\n",
       "      <td>59</td>\n",
       "      <td>56</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>35</td>\n",
       "      <td>63</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>95</td>\n",
       "      <td>71</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>81</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>71</td>\n",
       "      <td>18</td>\n",
       "      <td>86</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>38</td>\n",
       "      <td>73</td>\n",
       "      <td>81</td>\n",
       "      <td>39</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>47</td>\n",
       "      <td>56</td>\n",
       "      <td>6</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>85</td>\n",
       "      <td>89</td>\n",
       "      <td>24</td>\n",
       "      <td>90</td>\n",
       "      <td>62</td>\n",
       "      <td>79</td>\n",
       "      <td>86</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>83</td>\n",
       "      <td>70</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>43</td>\n",
       "      <td>87</td>\n",
       "      <td>68</td>\n",
       "      <td>63</td>\n",
       "      <td>70</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>25</td>\n",
       "      <td>57</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>53</td>\n",
       "      <td>96</td>\n",
       "      <td>75</td>\n",
       "      <td>8</td>\n",
       "      <td>85</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>28</td>\n",
       "      <td>55</td>\n",
       "      <td>93</td>\n",
       "      <td>82</td>\n",
       "      <td>76</td>\n",
       "      <td>95</td>\n",
       "      <td>45</td>\n",
       "      <td>82</td>\n",
       "      <td>32</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     0   1   2   3   4   5   6   7   8   9\n",
       "0    7  48  47   1  80   9  79  50  58  96\n",
       "1   79  97   9  64  82  55  40  68  41  92\n",
       "2   69  23  10  22  89  79  23  32  97  47\n",
       "3   68   2  28  44  71  94  24  63  54  72\n",
       "4   57  31   3  52  44  42  25  91  54  43\n",
       "5   45  85  91  93  19  79  25  27  76  83\n",
       "6   72  16  87   7  42   7  91   8  74  53\n",
       "7   39  17  74  56  18  86  59  40  32  83\n",
       "8   37  31  28  69  19  66  71   2  29   8\n",
       "9   30  10  37  30  56  27  51  96   0  44\n",
       "10  21  55  95  89   5  75  75  70   7  26\n",
       "11  34   8  76  21  81  28  51  64  39  95\n",
       "12  80   5  89  80  11  76  28  82  43  78\n",
       "13  23  70  54  60  47  42  27  97  58  53\n",
       "14   7  11  58  36  74  23  90  11  61  44\n",
       "15  59  77  21  39  32  61  43  84  26  51\n",
       "16  71  96   4  90  98  65  35  73  69   8\n",
       "17  48   4  88  86   1  37  86  31  40  28\n",
       "18  24  99  51  37  41  67  82  23  27  21\n",
       "19  21  90  65   0  93  84  76  19  92  68\n",
       "20  21  31  52  85  15  97  42   1  76  29\n",
       "21  77  47  93  87  16  86  11   4  64   7\n",
       "22  58   3  80  15  61  65  19  97  49  35\n",
       "23  21  85  62  84  75  11  90  32  12  50\n",
       "24  37  94  13  29  73  94  61  73  12  75\n",
       "25  84  41  47  69  24  25  42  15  22  76\n",
       "26  36  50  53  59  13  58  88  77  30  84\n",
       "27  34  66  70   6  90  77  38   6  97  21\n",
       "28  44  94  19  21  86  13  85  95  56  13\n",
       "29  44  59  26  72  80  82  70  21  44  83\n",
       "..  ..  ..  ..  ..  ..  ..  ..  ..  ..  ..\n",
       "70  26  87   6  47  91  94  43  77  70  94\n",
       "71  62  83   1   7  89  86  59  16  52  16\n",
       "72  59  69  89  49  70  18  52  69  68  83\n",
       "73  50  28  98   1   9  47  43  39  46  66\n",
       "74  52  44   2   1  86  61  97  29  18  98\n",
       "75  49  91  17  36  65  96  27  91  78  74\n",
       "76  51   2  69  94  78  86  53  41  53  88\n",
       "77  28  60  26  84  50  50   6   8  66  75\n",
       "78  76  17  65  62  94  11  84  87  82  70\n",
       "79  64  42  56   3  65  84  42  44  84  93\n",
       "80  89  73  94  51  37  75  41  83   2  11\n",
       "81  73  64   6  54  90   3  22  38  91  83\n",
       "82   1   7  34   0  86  31  59  15  94  67\n",
       "83   2  84  33  37  44  33   6  41  74  78\n",
       "84  97  29  87  18  62  52  27  90  69  34\n",
       "85  22  25  90   6  84  63  40  14  89  83\n",
       "86  13  19  71  46  21  65  79  22  89  16\n",
       "87   1   9  27  35  64  42  27  62  68   1\n",
       "88   1  61  22  94  91  98  97  70  88  36\n",
       "89  27  94  77  61  25  69  73  39  20  92\n",
       "90  99  17  40  46  22  54  82  26  41  64\n",
       "91  31  82  68  68  73  75  48  81  25  83\n",
       "92  51  49  26  59  56   2   4  35  63  42\n",
       "93  44   0  32  95  71  16  11   5   0  16\n",
       "94  81  16  39  71  18  86  10   0   9  14\n",
       "95  38  73  81  39  25  26  47  56   6  20\n",
       "96  85  89  24  90  62  79  86  52   1  98\n",
       "97  83  70   6  26  43  87  68  63  70  82\n",
       "98  25  57   7  16  53  96  75   8  85  19\n",
       "99  28  55  93  82  76  95  45  82  32  46\n",
       "\n",
       "[100 rows x 10 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualize the first dataset\n",
    "ds.dataset[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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