notebooks/demo_ipypivot.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import ipypivot as pt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Demo notebook for `ipypivot`\n",
    "+ This [Jupyter widget](https://ipywidgets.readthedocs.io/en/stable/#) wraps the very convenient [pivotTable.js lib](https://pivottable.js.org/examples/)\n",
    "+ The examples below are reproduced from the pivotTable.js [examples page](https://pivottable.js.org/examples/)\n",
    "+ `.Pivot()` corresponds to pivotTable.js [`pivot()` method](https://github.com/nicolaskruchten/pivottable/wiki/Parameters#pivotinput-options-locale)\n",
    "+ `.PivotUI_Box()` corresponds to pivotTable.js [`pivotUI()` method](https://github.com/nicolaskruchten/pivottable/wiki/Parameters#pivotuiinput-options-overwrite-locale)\n",
    "+ data must be input as a [pandas DataFrame](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html)\n",
    "+ options must be input as a `Pivot_Options` or `PivotUI_Options` object.\n",
    "    + key-values as per the pivotTable.js [documentation](https://github.com/nicolaskruchten/pivottable/wiki/Parameters)\n",
    "    + These objects have first level autocomplete.\n",
    "+ A `PivotUI` object p (say `p` for example) has 2 buttons: **Save** and **Restore**.\n",
    "    + **Save** to snapshot the current configuration into dataframe `p.table.df_export` and dict `p.table.options`.  \n",
    "    _Note_: Options that are javascript functions are discarded when passed to Python\n",
    "    + **Restore** to apply the options saved\n",
    "+ Bidirectional synchronization is applied (see the end of the notebook for examples)\n",
    "    + from JS to Python: as explained above, if you change the table configuration from the JS and hit the **Save** button, it will be saved in the Python side.\n",
    "    + from Python to JS: if any attribute of the `option` object is changed from the Python side, all views will be automatically re-rerendered."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Examples of pivot tables\n",
    "## 1 - pivot - Base\n",
    "+ Cf. original in [jsfiddle](https://jsfiddle.net/nicolaskruchten/kn381h7s/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>Pivot</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "Pivot()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pt.samples.df_tips\n",
    "dic = {\n",
    "    'sumOverSum': '$.pivotUtilities.aggregators[\"Sum over Sum\"]',\n",
    "    'heatmap': '$.pivotUtilities.renderers[\"Heatmap\"]'    \n",
    "}\n",
    "\n",
    "p = pt.Pivot(df_data=df)\n",
    "opts = p.options\n",
    "opts.rows = ['sex', 'smoker']\n",
    "opts.cols = ['day', 'time']\n",
    "opts.vals = ['tip', 'total_bill']\n",
    "opts.aggregator  = '{sumOverSum}([\"tip\", \"total_bill\"])'.format(**dic)\n",
    "opts.renderer = '{heatmap}'.format(**dic)\n",
    "\n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1 bis - pivot - Base\n",
    "+ Cf. [original in pivotTable.js example](https://pivottable.js.org/examples/scatter.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "model_id": "7ab3d1acabf247c0890ed10a7bd8ea02",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>Pivot</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "Pivot()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pt.samples.df_iris\n",
    "\n",
    "p = pt.Pivot(df_data=df)\n",
    "\n",
    "opts = p.options\n",
    "opts.rows = ['Petal.Length']\n",
    "opts.cols = ['Petal.Width', 'Species']\n",
    "opts.renderer = '$.pivotUtilities.c3_renderers[\"Scatter Chart\"]'\n",
    "opts.rendererOptions = {\n",
    "    'c3': {\n",
    "        'size': {\n",
    "            'width': 700, 'height': 500\n",
    "        }\n",
    "    }\n",
    "}\n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2 - pivotUI - Base\n",
    "+ Options as `PivotUI_Options` helper object\n",
    "+ Cf. [original jsfiddle](https://jsfiddle.net/nicolaskruchten/kn381h7s/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "90345b4d9f804a3cb946fdd5f182ce5c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>PivotUIBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "PivotUIBox(children=(HBox(children=(Button(description='Save', layout=Layout(width='100px'), style=ButtonStyle()), Button(description='Restore', layout=Layout(width='100px'), style=ButtonStyle()), Text(value='', disabled=True, layout=Layout(width='160px'))), layout=Layout(display='flex', justify_content='flex-start')), PivotUI()))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pt.samples.df_tips\n",
    "\n",
    "p = pt.PivotUI(df_data=df)\n",
    "opts = p.table.options\n",
    "\n",
    "dic = {\n",
    "    'sumOverSum': '$.pivotUtilities.aggregators[\"Sum over Sum\"]',\n",
    "    'heatmap': '$.pivotUtilities.renderers[\"Heatmap\"\"]'    \n",
    "}\n",
    "opts.rows = ['sex', 'smoker']\n",
    "opts.cols = ['day', 'time']\n",
    "opts.vals = ['tip', 'total_bill']\n",
    "opts.aggregatorName = 'Sum over Sum'\n",
    "opts.rendererName = 'Heatmap'\n",
    "\n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3 - pivotUI - derived attributes\n",
    "+ Cf. original in [pivotTable.js example](https://pivottable.js.org/examples/mps.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>PivotUIBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "PivotUIBox(children=(HBox(children=(Button(description='Save', layout=Layout(width='100px'), style=ButtonStyle()), Button(description='Restore', layout=Layout(width='100px'), style=ButtonStyle()), Text(value='', disabled=True, layout=Layout(width='160px'))), layout=Layout(display='flex', justify_content='flex-start')), PivotUI()))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pt.samples.df_mps\n",
    "\n",
    "p = pt.PivotUI(df_data=df)\n",
    "opts = p.table.options\n",
    "\n",
    "opts.rows = ['Gender Imbalance']\n",
    "opts.cols = ['Age Bin']\n",
    "opts.derivedAttributes = {\n",
    "    'Age Bin': '$.pivotUtilities.derivers.bin(\"Age\", 10)',\n",
    "    'Gender Imbalance': 'function(mp) { return mp[\"Gender\"] == \"Male\" ? 1 : -1; }'    \n",
    "}\n",
    "\n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5 - pivotUI - prepopulated with click callback\n",
    "+ Cf. [original pivotTable.js example](https://pivottable.js.org/examples/mps_prepop.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-> Click on a cell to view the contents\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7ec30fd1bd784eb6b2c9010a8a56c244",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>PivotUIBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "PivotUIBox(children=(HBox(children=(Button(description='Save', layout=Layout(width='100px'), style=ButtonStyle()), Button(description='Restore', layout=Layout(width='100px'), style=ButtonStyle()), Text(value='', disabled=True, layout=Layout(width='160px'))), layout=Layout(display='flex', justify_content='flex-start')), PivotUI()))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pt.samples.df_mps\n",
    "\n",
    "p = pt.PivotUI(df_data=df)\n",
    "opts = p.table.options\n",
    "\n",
    "opts.rows = ['Province']\n",
    "opts.cols = ['Party']\n",
    "opts.aggregatorName = 'Integer Sum'\n",
    "opts.vals = ['Age']\n",
    "opts.rendererName = 'Heatmap'\n",
    "opts.rendererOptions = {\n",
    "    'table': {\n",
    "        'clickCallback': \"\"\"function(e, value, filters, pivotData){\n",
    "                            var names = [];\n",
    "                            pivotData.forEachMatchingRecord(filters,\n",
    "                                function(record){ names.push(record.Name); });\n",
    "                            alert(names.join(\\\"\\\\n\\\"));\n",
    "                        }\"\"\"\n",
    "    }\n",
    "}\n",
    "\n",
    "print('-> Click on a cell to view the contents')\n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6 - pivotUI - custom aggregators and sort order\n",
    "+ Cf. [original pivotTable.js example](https://pivottable.js.org/examples/mps_agg.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9a401651cff246a6881f9c29d7be3eb6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>PivotUIBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "PivotUIBox(children=(HBox(children=(Button(description='Save', layout=Layout(width='100px'), style=ButtonStyle()), Button(description='Restore', layout=Layout(width='100px'), style=ButtonStyle()), Text(value='', disabled=True, layout=Layout(width='160px'))), layout=Layout(display='flex', justify_content='flex-start')), PivotUI()))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pt.samples.df_mps\n",
    "\n",
    "p = pt.PivotUI(df_data=df)\n",
    "opts = p.table.options\n",
    "\n",
    "dic = {\n",
    "    'tpl': '$.pivotUtilities.aggregatorTemplates',\n",
    "    'sortAs': '$.pivotUtilities.sortAs'\n",
    "}\n",
    "\n",
    "opts.rows = ['Province']\n",
    "opts.cols = ['Party']\n",
    "opts.aggregators = {\n",
    "    \"Number of MPs\":      'function() {{ return {tpl}.count()() }}'.format(**dic),\n",
    "    \"Average Age of MPs\": 'function() {{ return {tpl}.average()([\"Age\"]) }}'.format(**dic)\n",
    "}\n",
    "opts.sorters = {\n",
    "    'Age': 'function(a,b){ return b-a; }', # sort backwards\n",
    "    'Province': \"\"\"{sortAs}([\"British Columbia\", \"Alberta\", \"Saskatchewan\", \"Manitoba\",\n",
    "                             \"Territories\", \"Ontario\", \"Quebec\", \"New Brunswick\",\n",
    "                             \"Prince Edward Island\", \"Nova Scotia\",\n",
    "                             \"Newfoundland and Labrador\"])\"\"\".format(**dic)\n",
    "}\n",
    "\n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7 - pivotUI - C3 chart renderer\n",
    "+ Cf. original in [pivotTable.js example](https://pivottable.js.org/examples/c3.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c96191981c3043f3b0845e561217c63d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>PivotUIBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "PivotUIBox(children=(HBox(children=(Button(description='Save', layout=Layout(width='100px'), style=ButtonStyle()), Button(description='Restore', layout=Layout(width='100px'), style=ButtonStyle()), Text(value='', disabled=True, layout=Layout(width='160px'))), layout=Layout(display='flex', justify_content='flex-start')), PivotUI()))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pt.samples.df_mps\n",
    "\n",
    "p = pt.PivotUI(df_data=df)\n",
    "opts = p.table.options\n",
    "\n",
    "opts.rows = ['Province']\n",
    "opts.cols = ['Party']\n",
    "opts.renderers = '$.extend($.pivotUtilities.renderers, $.pivotUtilities.c3_renderers)'\n",
    "opts.rendererName = 'Horizontal Stacked Bar Chart'\n",
    "opts.rowOrder = 'value_z_to_a'\n",
    "opts.colOrder = 'value_z_to_a'\n",
    "opts.rendererOptions = {\n",
    "    'c3': {\n",
    "        'data': {\n",
    "            'colors': {\n",
    "                'Liberal': '#dc3912',\n",
    "                'Conservative': '#3366cc',\n",
    "                'NDP': '#ff9900',\n",
    "                'Green':'#109618',\n",
    "                'Bloc Quebecois': '#990099'\n",
    "            }\n",
    "        }\n",
    "    }\n",
    "}\n",
    "\n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8 - pivotUI - D3 chart renderer\n",
    "+ Cf. original in [pivotTable.js example](https://pivottable.js.org/examples/d3.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "model_id": "0295f219abf649de8ebad19c54194c9c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>PivotUIBox</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "PivotUIBox(children=(HBox(children=(Button(description='Save', layout=Layout(width='100px'), style=ButtonStyle()), Button(description='Restore', layout=Layout(width='100px'), style=ButtonStyle()), Text(value='', disabled=True, layout=Layout(width='160px'))), layout=Layout(display='flex', justify_content='flex-start')), PivotUI()))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pt.samples.df_mps\n",
    "\n",
    "p = pt.PivotUI(df_data=df)\n",
    "opts = p.table.options\n",
    "\n",
    "opts.rows = ['Province', 'Party']\n",
    "opts.cols = []\n",
    "opts.rendererName = 'Treemap'\n",
    "\n",
    "p"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "## 9 - pivotUI - date derivers, sort overriding and custom heatmap colours\n",
    "+ Cf. original in [pivotTable.js example](https://pivottable.js.org/examples/montreal_2014.html)"
   ]
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    "df = pt.samples.df_weather\n",
    "\n",
    "p = pt.PivotUI(df_data=df)\n",
    "opts = p.table.options\n",
    "\n",
    "putil = '$.pivotUtilities'\n",
    "dic = {\n",
    "    'dateFormat': putil+'.derivers.dateFormat',\n",
    "    'sortAs': putil+'.sortAs',\n",
    "    'tpl': putil+'.aggregatorTemplates',\n",
    "    'numberFormat': putil+\".numberFormat({ suffix: ' °C' })\"    \n",
    "}\n",
    "dic['putil'] = putil\n",
    "\n",
    "opts.hiddenAttributes = ['Date', 'Max Temp (C)', 'Mean Temp (C)',\n",
    "                        'Min Temp (C)', 'Total Rain (mm)', 'Total Snow (cm)']\n",
    "\n",
    "opts.derivedAttributes = {\n",
    "    'month name': \"{dateFormat}('Date', '%n', true)\".format(**dic),\n",
    "    'day name': \"{dateFormat}('Date', '%w', true)\".format(**dic)\n",
    "}\n",
    "\n",
    "opts.rows = ['day name']\n",
    "opts.cols = ['month name']\n",
    "opts.sorters = {\n",
    "    'month name': \"\"\"{sortAs}(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', \n",
    "                               'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\"\"\".format(**dic),\n",
    "    'day name': \"{sortAs}(['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'])\".format(**dic)\n",
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    "opts.aggregators = {\n",
    "    'Mean Temperature': \"function () {{ return {tpl}.average({numberFormat})(['Mean Temp (C)']) }}\".format(**dic),\n",
    "    'Max Temperature': \"function () {{ return {tpl}.max({numberFormat})(['Max Temp (C)']) }}\".format(**dic),\n",
    "    'Min Temperature': \"function () {{ return {tpl}.min({numberFormat})(['Min Temp (C)']) }}\".format(**dic)\n",
    "}\n",
    "opts.renderers = '$.extend({putil}.renderers, {putil}.c3_renderers, {putil}.export_renderers)'.format(**dic)\n",
    "opts.rendererName = 'Heatmap'\n",
    "opts.rendererOptions = {\n",
    "    'heatmap': {\n",
    "        'colorScaleGenerator': \"\"\"function (values) {\n",
    "            return d3.scale.linear()\n",
    "                .domain([-35, 0, 35])\n",
    "                .range(['#77F', '#FFF', '#F77'])\n",
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    "    }\n",
    "}\n",
    "\n",
    "p"
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    "# Examples of bidirectional synchronization\n",
    "### Saved dataframe\n",
    "\n",
    "+ Snapshot by Save button (first click a few milliseconds post creation)\n",
    "+ Multi-index corresponding to pivot table\n"
   ]
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   "metadata": {},
   "outputs": [],
   "source": [
    "# p.table.df_export"
   ]
  },
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   "metadata": {},
   "source": [
    "### Modify options properties\n",
    "\n",
    "+ Triggers re-rendering of all views"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
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    "p.table.options.aggregatorName = 'Max Temperature'"
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   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "p.table.options.aggregators = {\n",
    "    'Mean Temperature': \"function () {{ return {tpl}.average({numberFormat})(['Mean Temp (C)']) }}\".format(**dic),\n",
    "    'Max Temperature': \"function () {{ return {tpl}.max({numberFormat})(['Max Temp (C)']) }}\".format(**dic)\n",
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    "p.table.options.rendererOptions = {\n",
    "    'heatmap': {\n",
    "        'colorScaleGenerator': \"\"\"function (values) {\n",
    "            return d3.scale.linear()\n",
    "                .domain([-20, 0, 20])\n",
    "                .range(['#77F', '#FFF', '#F77'])\n",
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       "{'aggregatorName': 'Max Temperature',\n",
       " 'aggregators': {'Max Temperature': \"function () { return $.pivotUtilities.aggregatorTemplates.max($.pivotUtilities.numberFormat({ suffix: ' °C' }))(['Max Temp (C)']) }\",\n",
       "  'Mean Temperature': \"function () { return $.pivotUtilities.aggregatorTemplates.average($.pivotUtilities.numberFormat({ suffix: ' °C' }))(['Mean Temp (C)']) }\"},\n",
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       "  'Min Temp (C)',\n",
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       "  'Total Snow (cm)'],\n",
       " 'rendererName': 'Heatmap',\n",
       " 'rendererOptions': {'heatmap': {'colorScaleGenerator': \"function (values) {\\n            return d3.scale.linear()\\n                .domain([-20, 0, 20])\\n                .range(['#77F', '#FFF', '#F77'])\\n        }\"}},\n",
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Female"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         52,
         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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         "Male"
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