{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## BC Liberal Party Donations in 2016-2017"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The BC Liberal Party [disclosed donations](https://www.bcliberals.com/realtime-disclosure/) received during the run-up to the 41st British Columbia general election held May 9, 2017. The data was shared in the form of PDF files containing donations during time intervals of varying length. In this format, the disclosed donations data is not presented for easy analysis using a computer.\n",
    "\n",
    "Disclosed donations data were munged into CSV format. The collection is available as an [open Google docs spreadsheet](https://docs.google.com/spreadsheets/d/1K26qXaaKPaXV4FAmce9W7xX_lCy2RGfDSBO2lwRxfkA/edit?usp=sharing).\n",
    "\n",
    "<img src=\"https://wwejubwfy.s3.amazonaws.com/Real-time_Disclosure_-_Todays_BC_Liberals_2017-08-06_16-52-21.png\" alt=\"BC Liberals Screen Capture\" align=\"right\" width=\"400\"> \n",
    "\n",
    "This notebook explores the donations data and achieves the following objectives:\n",
    "\n",
    "* Plot Donations vs. Time. \n",
    "* List the top donors by accumulating across all disclosed transactions.\n",
    "* Identify all donors matching a `string`.\n",
    "* Explore donations made by UBCBoG members.\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set up some tools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import *\n",
    "from dateutil.relativedelta import *\n",
    "import calendar\n",
    "from dateutil.rrule import *\n",
    "from dateutil.parser import *\n",
    "import matplotlib.pyplot as plt \n",
    "from bokeh.plotting import output_notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from bokeh.plotting import figure, output_notebook, show\n",
    "# from holoviews import Bar\n",
    "# from bokeh.models import DatetimeTickFormatter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"5836eb67-d12d-4708-af4f-5274c125fbba\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "  }\n",
       "\n",
       "  var JS_MIME_TYPE = 'application/javascript';\n",
       "  var HTML_MIME_TYPE = 'text/html';\n",
       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
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       "    var script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
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       "\n",
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       "  function handleClearOutput(event, handle) {\n",
       "    var cell = handle.cell;\n",
       "\n",
       "    var id = cell.output_area._bokeh_element_id;\n",
       "    var server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
       "    if (id !== undefined) {\n",
       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
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       "\n",
       "    if (server_id !== undefined) {\n",
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       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            var element_id = msg.content.text.trim();\n",
       "            Bokeh.index[element_id].model.document.clear();\n",
       "            delete Bokeh.index[element_id];\n",
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       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
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       "      toinsert[0].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
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       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      var bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      var script_attrs = bk_div.children[0].attributes;\n",
       "      for (var i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      var toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[0]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
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       "\n",
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       "    var events = require('base/js/events');\n",
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       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
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       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    var el = document.getElementById(\"5836eb67-d12d-4708-af4f-5274c125fbba\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        root._bokeh_is_loading--;\n",
       "        if (root._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"5836eb67-d12d-4708-af4f-5274c125fbba\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '5836eb67-d12d-4708-af4f-5274c125fbba' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.14.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"5836eb67-d12d-4708-af4f-5274c125fbba\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"5836eb67-d12d-4708-af4f-5274c125fbba\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n    }\n    finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.info(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(js_urls, callback) {\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = js_urls.length;\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var s = document.createElement('script');\n      s.src = url;\n      s.async = false;\n      s.onreadystatechange = s.onload = function() {\n        root._bokeh_is_loading--;\n        if (root._bokeh_is_loading === 0) {\n          console.log(\"Bokeh: all BokehJS libraries loaded\");\n          run_callbacks()\n        }\n      };\n      s.onerror = function() {\n        console.warn(\"failed to load library \" + url);\n      };\n      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.getElementsByTagName(\"head\")[0].appendChild(s);\n    }\n  };var element = document.getElementById(\"5836eb67-d12d-4708-af4f-5274c125fbba\");\n  if (element == null) {\n    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '5836eb67-d12d-4708-af4f-5274c125fbba' but no matching script tag was found. \")\n    return false;\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.14.min.js\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n    }\n  ];\n\n  function run_inline_js() {\n    \n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"5836eb67-d12d-4708-af4f-5274c125fbba\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(js_urls, function() {\n      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Source data: \n",
    "https://docs.google.com/spreadsheets/d/1K26qXaaKPaXV4FAmce9W7xX_lCy2RGfDSBO2lwRxfkA/edit?usp=sharing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Import multisheet Google doc in as an Excel file.\n",
    "xl = pd.ExcelFile('https://docs.google.com/spreadsheets/d/1K26qXaaKPaXV4FAmce9W7xX_lCy2RGfDSBO2lwRxfkA/export?format=xlsx&id', \n",
    "                )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pandas.io.excel.ExcelFile at 0x7f5442624358>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Copy-of-2016-Contributions-v4',\n",
       " '2017-Contributions-June-2',\n",
       " '2017-Contributions-May-26-2017',\n",
       " '2017-Contributions-May-19',\n",
       " '2017-Contributions-May-12',\n",
       " '2017-Contributions-May-5',\n",
       " '2017-Contributions-April-28-201',\n",
       " '2017-Contributions-April-21',\n",
       " '2017-Contributions-April-14',\n",
       " '2017-Contributions-April-7',\n",
       " '2017-Contributions-March-31-201',\n",
       " '2017-Contributions-March-23',\n",
       " '2017-Contributions-—-March-17-2',\n",
       " '2017-Contributions-March-10',\n",
       " '2017-Contributions-March-3-2017',\n",
       " '2017-Contributions-_-February-2',\n",
       " '2017-Contributions-February-17',\n",
       " 'Copy-of-2017-Contributions-Janu',\n",
       " 'Sheet2',\n",
       " '2017-Contributions-—-February-3',\n",
       " '2017-Contributions-—-February-1',\n",
       " 'Real-Time-Donations-Jan-25V3']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## List the names of the sheets in the imported Excel file.\n",
    "## The sheet names correspond to the filenames used to label the disclosed files.\n",
    "xl.sheet_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Make a dictionary of Pandas Dataframes for each sheet\n",
    "dict = pd.ExcelFile.parse(xl, sheetname=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Merge the data frames in the dictionary into a single large data frame.\n",
    "## The `df` file contains the list of disclosed BC Liberal Party data in the form of a Pandas Dataframe.\n",
    "df = pd.concat(dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>29509.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>628.985388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2279.642803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>36.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>300.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>85000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Amount\n",
       "count  29509.000000\n",
       "mean     628.985388\n",
       "std     2279.642803\n",
       "min        0.000000\n",
       "25%       36.000000\n",
       "50%      100.000000\n",
       "75%      300.000000\n",
       "max    85000.000000"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## List descriptive statistics of the collection of all donations.\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Convert Date to a better Format for ordering\n",
    "df['datetime'] = pd.to_datetime(df['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15306"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Number of unique Donor Names\n",
    "len(df['Donor Name'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There were 29,509 donation transactions reported. These donations were made by 15,306 unique donors. The `mean` donation is \\$628.99 with a maximum single donation of \\$85,000."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18560729.800000001"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Calculate total amount donated.\n",
    "df['Amount'].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Donation Total: \\$18,560,729.80"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyze donations vs. time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5440846dd8>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9IStpgGumUCj6kpzUBB7aXGy+tI39pHNSEwZ1WVaiwjzv58D/BUbon5OAs1LKNv1zJTBB/3sCUAEgpWwTQrj18ycAf7Vc0/qdioDjM7vQhgHD2Hzj6fxS/vzxGfaX1/ltyqFQKIYmxgY7D20u5q6ZE/lt4Qm/zX8Ga1lWOl05CCG+AnwhpTxoPRziVNnJ/7p6PFRdHhBCHBBCHHC5XB3Uuv8I3PhbCQaF4uJgVuYY7po5kdU7y7hr5sQ+fVn3Z1kG4aiVbgD+QQhRjqbymYe2khglhDBWHqlAlf53JZAGoP8/Aai1Hg/4TnvHg5BSrpVSTpdSTk9OTg6j6n1P4MbfgTYIhUIxNClwVvPbwhM8PC+L3xaeCLILDNayTMLdbFrfTnQu8I7+9/8Cd+h/rwH+Wf/7e8Aa/e87gNf1v68EDgExwGTgOGBHU20d149F6+dc2Vldpk2b1qVNuvuCwI2/Az8rFIqhyWN/OCSnPrFN7itzSSml3FfmklOf2CYf+8OhXi9rX5lL5j613a8s6+euAByQYb7vexLn8CjwiBCiDM2msF4/vh5I0o8/AjymC6GPgdeBT4BtwPeklF6p2S0eAt5D84Z6XT834gnc+HvZ7ExWLMxmX1nNANdMoVAMFUoq3X42BsMGUVLp7tNyhSZMBh/Tp0+XBw4cGOhqKBSKixTDa6g/jcQ9RQhxUEo5PZxzVYS0QqFQdIOBMBL3J0o4KBQKRTcYECNxPzLkhMNARRNGWh0UCkXfYaiUnl+cyyMLpphxCH0hICI6QnowMVDRhJFWB4VC0Xf0p5F4oN4nQ9IgHQmGokioQ7is2e0kJzXBr34FzmpKKt08OEcF9SkUA01vvU8ueoN0JBiKIqEO4aJWOgpFZBOpEdKDjkgwFPVGHfpL12jN3fLc9iOmLjWSBZpCcTExEO+0IScc+tNQ1Nd16M8Z/WBa6SgUFxMD9U4bcsJhoKIJ+6IO/Tmjj4TVlkKhCEZFSHeRiylC+rntR1i9s4yH52XxyIIpvX5968xkVuaYoM8KhWJocNEbpIcS/TGjj4TVlkKhiCzUyiGCGQozeuUmq1BEDmrlMEQYCjN65SarUAxOlHDoAfP+Zxcrt5T4HVu5pYR5/7OrV67/4JzMoBXCrMwxg2rGrdxkFUORgUyRE07ZSzYUBW08tm6Pk6jECVnhlqOEQw+4PjORTYUVpoBYuaWETYUVXJ+ZOMA1iyyUm6xiqNFfK+JQgsBug6UbD3RY9g1ZSTydX2oKiHV7nDydX4psOV8fbtlRnZ+iaI9Vi3IA2FRYwfulLqrcHu6cmWYeV2gEGtWvy0xSAkIxqLGuiPsyRY4hhKx2xxd3HeeRBZd2WLaxAdnT+aX8+eMz7C+vY8XCbB74r9ovwi1bCYcesmpRjikYUhJilWAIINCIfl1mklItKYYE1hXxw/Oy+uR+7kgINZxv67DsZbMz+fPHZyjS97hfNjuTB7pQtlIr9ZCVW0pMwVDl9gTZILrDUEr5PRSM6gpFKPorcDSUWjacstftcbJfFwz7y+uCbBCdEu5m05H2M23atC5vrt3brHjzkJz06DtyxZuHQn7uLr25obhCoeh9+vMZNa790/dKZe5T2+XaD8o6LXvtB2Uy/dF35NoPyvw+24cnnpBhvmOVWqkHfOis9bMxGL8/dNb26Lr9pc9UKBTdY+0Hx1k+N8NvRbx8bgZrPzjeq89pKLXs0o0HeGTBpSFX48axfWU1rFiYbdoejN//vG7YyHDLVkFwEUxfp81QKBTdo78CVHs7iLQrQXBKOEQog2mzIIXiYmQwPqMqQnqQEwlpxxUKRccM9fgdJRx6QHe9ijr7Xnc9fAbCy6mzMoeS51VXMdpu7QPr5/7sg74ah/YicZdsKAo67zsbi/zqsG6Pk9tf2Dso74U1u52s2+P08xhat8cZ1Jae9vua3U6uf2aHnxfk5MfzuXRFvl8mhlnP7CDj8fxOy7UPTxwbbhuVcOgB3Y2S7Ox73U2bMRB5jDor82LOrWS03W6DhzYXs26P0+9zf/ZBX41De5G4N2QlBZ23s9TF/a9okb3r9jhZlV/KsTPnBuW9YLdpAWbL52bwyIIpLJ+bwdP5pdgD3qg97fec1ARqzjWbmRgKnNVICa0+OO0+D2iCocrtYdzI2E7L9bV6msJto7I59JDu6h37Sl85EHrQzsocjLrZ3sJo+5zLxvBWcRVfy53A7qOuAemDvhoHQyDM0P3prV4ygeetyi8lyiZo80niou28dO/0QXkvrNntxG6DF3cdN/tz+dwMvD6CJnE97fcCZzVLXi6ixSsRgARi7IJm74V3d1K8g2VfyvQrO1S5N2QlK5tDf9FdvWNf6SsHQg/aWZlDXTfbEUbbtxRXMSN9NFuKTw5YH/TVOCybncmM9NEUldcxQ4/Ebe+8vPTRtPm0l9r9N04etPfCg3MyWTY7068/l83ODLm672m/W7UGEk0QxMc6/M6RiKDVSE/LVcKhh3Q3SrKvoisHYrvPzsq8mLcgNdq+KDeF/eV1LMqdMGB90FfjEG4k7ro9TorK64iyCQBe2vvZoL4Xwu3Pnva71UYhgJrGVho9rX7nCGTQy7/H4x1utFyk/URChPRjfzgkpz6xzS9SceoT2+Rjf+g4QrqvoisHIrK6szIv5mhvo61GRGvg7/7sg74ah/YicY3P1vMmPfqOvPyHW+W+MlfQ58FGuP3Z037fV+aSl67INzMv7CtzyUmPviMnPfqOzHhc+33lj7bKSY++I69/+i+dliti4o7IMN+xauUwAPRVvqGByGPUWZkXc24lo+1eHzy/OJdlszP9PvdnH/TVOISKxF2xMJt9ZTVB583LTjZtDMtmZ7JyYTaXjh0+KO+FcPuzp/1eUukmaXiMmYlhVuYYhAC7ACnh4XlZREfZSYp3cLre02m5NkdsXLhtVAbpHnIxG1sVCkX/05PobBUE148MdmPrxRyHoFAMRvprNa6EQw8Z7MbWizkOQaEYjPTX9sGdCgchRJoQ4n0hxKdCiI+FEN/XjycKIf4shDim/x6tHxdCiNVCiDIhRIkQ4lrLte7Vzz8mhLjXcnyaEOIj/TurhRCiV1vZRzz+ZgnfffUgzy/OJS4miuVzM/juqwd5/E0tmrHAWc2SDUV9NjO/9qntLN14IRJ1zW4ni17Yy7VPbQ+7LLXHc88ZyquvcNvW2XnhRlIPFoz9463tNvaP7+2xD9yrfsmGIha9sNcvQjqwL631Mvq+LyKk24B/k1JeDlwHfE8IcQXwGLBDSnkpsEP/DHArcKn+8wDwImjCBHgCmAnkAU8YAkU/5wHL924JtwGRQk5qAqt3lNHm9QEXZuA3ZCX12cw8d+IodpS6TAHx3uFTFFe4mZQU16WyBrtqbKAZyquvcNvW2XnhRlIPFoz94/d/VsNDm4tZurGITYUVTB4T1+tjH7hXvbupheIKNwnDtB0XQvWldTyMvl+6cX/fRkgLIf4IPK//zJVSnhJCjAd2SSmnCCF+rf/9mn7+EWCu8SOl/K5+/NfALv3nfSlltn7829bz2iMSDdIbCsoBuG9Wup9xui+N1ks3FrGj1MXwGDvnmr3kpiXwee35LpWljOo9Zyj3Ybht6+y8cCOpBwsrt5SwqbCCpHgHNY2tTJ0wkqqznj4Ze6MsY8fJ3LQE/l7h7rAvjfG4fNwI9pfX0uqVVL60/Fxr9YkR4ZTZJZuDECIdyAUKgbFSylMA+u9L9NMmABWWr1Xqxzo6XhnieKjyHxBCHBBCHHC5XF2pep9hnXXfNyud+2alB83A+3Jmvn5JnikYhsfY2fK9G7tUlsoA2zsM5dVXuG3r7LxwI6kHC6sW5ZCSEEtNYyvDY+wcPlnfZ2NvlGVsSbzlezd22pfGeOxz1mCzCS4bNxybI2Z4uGWGLRyEEMOBPwD/IqWs7+jUEMdkN44HH5RyrZRyupRyenJycmdV7hesBukNBeVsKCgPMk73pdF66cYiUzCca/ay6IW9XSrrYo5D6E0Gu2NCR/RWJHCP9zSOMIz945PiHZxr9jJ1wsg+G/vAveoXvbC30760jofPJzly+hzS29YSbplhCQchhANNMGySUr6pHz6jq5PQf3+hH68E0ixfTwWqOjmeGuJ4xGOddV+XeUHfd11mkjkDNzJx9sXM3FApzc9O5vB/3EJuWoJmc0gcFnZZ/eX5MJQZyquvcNvW2XmGSmnFwmxef3AWKxZm+9kgYHAZ9g01z/zsZCRCewZP1pObltDrY2+UdefMNAoen28+59ekJbTbl9bxGDEsilavJMoGwh4VHW654XgrCWA98KmU8jnLv94GDI+je4E/Wo7fo3stXQe4dbXTe8ACIcRo3RC9AHhP/1+DEOI6vax7LNdql3PNbX6fB+Imss66Syrd/Pruafz67mnmXq7PL85lX1lNn83Mi0+cZX52MuuX5AFw89Txms2hpqnXy1K0z1BeffVWJHCoSOqbspN5p+SUeY2c1IQgb79INewb+8fPmKxNBNcvyePOmWl8Vt3U62MfuFd9Qlw0uWkJuM9r78BQUenW8dhXVsPimWkMi47C1+JpCLvgzvJrADeiqXlKgL/rP7cBSWheSsf034n6+QJ4AXACHwHTLdf6DlCm/9xnOT4dOKx/53l0Q3lHP8NSLr0o8/X0BS/uKguZE+bFXWXtfEOh6Dmh8v9MfWKbnPrENvnT90rVM91LWPsZOCDDzK00aNNnZF91jYz75k+Yc1ky2w6fZv2SwZkXPhLoSTi+QtETQnk4/dVZw+qdZTw8L4tHFkwZ6CoOetbsdpKTmqDnZboI0mcMj4lizmXJbCk+yS1Txw3Jl1h/6WBLKt0sn5vhFwi3fG7GkFCLKCKbQA8nYMga9geKUHbFcBi0wqGirom3ik+ySN9ZayjeRP0VXJWTmsCLu44z57IxrN5ZxpzLxvDiruMRqetVDC0Cvf2MjANDzbA/GBm0wuFsUytfy03hn6ancvOVY/0MWf1FX83sjevOyhxjtu1ff/93lm48wPOLc81zeqv8tR8cJzctgbeKq8hLH81bxVXkpiWw9oPjPWrHxc5g8r7pLuGmxQjVF+v2OM17+pEFU/hKzni//4dr2B+Ifg5MaQEX0mf0Fka7rGlyCpzVXP7DrUz78Xa/NDlLNxb5fe4NBq1wEMC2w6f57qsHyUiOH5A69NXM3nrdr16dQnObz1SfwYXN6Xur/AmjYtlR6uLKCSMpKq/jygkj2VHqYsKo2M6/PMTpyYtnKKfVMAg3LUaovnhu+zEeWXCpqfJ45us5prefQThu1QPRz4EpLQx30+szE3utDKNdsQ47O0pdLHphLw9tLsZhF9Q0tuJp9QIXXNpzJ47qtbJhEO/nMDbzChn3Tz/BYRfEOOz8+u5pA2J36Ku0CcZ151w2hi3FVURH2bAJcNhtfm21lv+rXU6+NSPVdHkD7WHdV1bDxvvy2i1rzW4n+z+rYUepywyymZ+dzIzJSRd9vENPjfVDOa2GQbhpMfqyLwainwNTWljdTcPBaig2KHBWU1LpNp+7Amc13331IOc8bUhgmMPG+Vafeb4R/Gp1ae+Ii8IgfbaplRnpo2nxSq6akDBgD1xfpU2YlTnGFAyLclN48EsZeFp9tHp9QecZ5V+XkcjmwoouJzfLSdWCarLHDqfK7SF77HCKK9xDaobbXXqatXYop9UwCDctRl/2xUD0c2BKi64IBghvxTMrcwz3zUo3U0YYgmHzspl+aXM6EgyhVr/hMGiFw6g4h7lhe+nphgEzWvVV2oQCZzXbDp9hUW4Kf/n0CzMth8Nu40+HqvzOM8r/5FQDi2em8XR+Kd9cU2BGpHaWw6ak0s2tU8dy5Mw58tJHc+TMOW6dOlZ5K+n05MUzlNNqGISbFqMv+6K/+3nNbidLNxb5pbRYurGoS3aOcCYeRrvSk/x39/w/m//mlzbHmro/kEAhFC72J598sktfiBSe+O9fPPn0in/hjYMnWT43g6f+9ClXpSaQlhj2Fqk9xqpi+OaMiVylD0JP62Fc99d3T+PKlAQzinT53Ey+enUKv9xZxlWpCVTUNQWVv3pHGROT4iipdJOXPppnv3F1p+UVV9Txq/ePs2JhNs9+42riY+z86v3jzJkyhmmTek+HOlh1dxdfAAAgAElEQVQpcFbz7LYjLJs9md8Wngh7fHvr/liyoQjXOY/fWKzb4+SXO8v4Wm7IHJX9hjUthnHvPJ1fSnyM3a++ffWs9PW12+PFXWXsKHWRFO9g2ZcyiLYLdpS6iIkSfNHg4Zc7yzhd76HF6/OrQ4GzmvyPTjE9XeubtMQ4GpvbWL2zjGWzJ/PNGROD2hUbZaOi7jw2ATEOG20+yflWH3EOGx8/dSsfVZ5lR6mLjyrPcvs1wfdDWmKc2SeuA1vFjx7/vz8Np42DduUwMTFuQDdsh75Lm7D2g+Msn5vhl5bj4flZrP3guF8Zocq/depYjpxu6FJys3A3ie8L+sLTpDev2ZO8Sb11f0TyXgjh3jvh9EV3xy3cfu7N++Kz6ibmZyfT1OJlVX4pBc4a5mcnU3zirDk24aiNOlrxlFS6ufnKsVQ3arnyHr8tm5eXzMBu03KVGqqm9UvyzLLbw1j92uNHjW/3pEDCDaWOtJ9p06b1Tmx5BBIqrUA4qQTWflAm0x99R679oCzk50iku23tr2tGSmoRYyz/6cV9ET+m3aUv7oW+vv5P3yuVkx59R05qZ2yMMkKlAwmnPvvKXDL737fKFW8ekrlPbZf/8rtimf7oO3LFm4e6dA8a17aPGFMlh3r6jEjZ7Kev6I73xZINRdyQleRnYwjXW6kzr4m+pC88TYail9A31xRQpOv2X39w1kBXp0/oy3Fbs9uJ3QYv7jpuXn/53Ay8Prp1n1vr+sKuMrw+Qo7Nc9uPhEwH0t5zt/aD4zzwpQw/j8TvvnqQhGEOKuvOsyh3Aj/71jVdrufzi3O5ISt56HsrRTI9Xb4a5wWmFejs+xvvywsyPi+bndmhYICB98fvC0+ToeYlNNT2QmiPvhy3C5kAkvVMAMndzgRg3T9+xLAofD6wCSgKGJuO1Ebtpct/4EsZQapLT6uXyrrz5KWP7nJGCKuauisM2pXD6InZsu5Eqfl50Qt7KT3dwKc/vjXsa4SS3Le/sJek+GhetriGtTf7nvc/u7g+M5G0xHjzOobvswDuyEtjUlI8dhs8824pAnA+s9BvVh5qtj/5sXwkYLcJrs9I5FClm0Y9Rfnjt2WbdUl/LJ8Yu+DIqtsAbeWw56gLr4TyZxcC8J2NRdQ0tvDH791oXt9aftaKd2nzafdAYnw0d82cyPPvl6EfMq9jrafRbx9XuXnm3VLGjYzlvhvTzRnYohf28nFVPY8smNLhjMy4DuC31epXcsbzzNdz2h2jUKuaNbudbD18iq/kjGfZ7EwKnNXcvb6IkbFRnGtu45Xv5DErc0zQWFqvb62Pcf2rnnyPsSNi+Mu/zTXLWrqxiOITZ/nbjxa02zaAjMfzGTcylntmpZtlXPXke5zztLFp2UxTJ2634Td7DWyf1ei7bHam32evT3vp/fuWw1yfmciqRTnm7NMuNN34zh/MZcmGIiaMiiUtUQsYNcYv1L1kjPUvdxyj3uPlzplppI+J57ntR/n6tZrB80NnLTt/MJernnwPpGRaeqJ5f6zcUsKHzlq+PTPNvH4442jUcevhM+bM/tapYzl51tPuBCdw3I3rvrTnOD6J3/eufWo7ifHROF2NZkxGZnI8tY0t5lhe+9R2cieO8nMNnfbj7TS1eP3eLemP5QMwIjaKBk8bd85MY1PhhY0uE+MdPL/4WpZuPMDXr00hLTGerYdPcfR0A48suAyvD/56vAa7AK+lnvN/uouqs+f5+rUTzPeI8YYeHefAfb7VfDYBHrs1mwfnZHLFD7fS1OoL+bw+/mYJ75Sc4h+uHs9/33+bu7WmMqxouUG7cmhq1XY9A00wFFe4yR4X1taoJqFmzEdPN/B+qSss4197m4zHOWxI4HdFFRw5Xc+q/FJ8EiaPiQ+alYcyNhpj7/VJ9pbV0OBpwye1gBdrXWLsgmavZMrKdwFMwWDX99Zbt8fJzlIXx86ca3dVYHWRq21sYfXOMr+bz8Baz5zUBO5/5QCr8jXBUOX2sCq/FLvtwlj4JJ3OyIz8/cYMzNgw6Z2SU2Z9u7LB/dHTDTydX8rKLdqsTkpJXVMrU1NG8tDmYlZuKelwI3ZrfXJSEyhwVnO+pY0yV6PpKhgqGtVYKVpXjAXOaobH2Klye1j9l6M8tLmYaT/eToNHE/JGGXYbPK33XXvt68joa9R/8pg4NhVWsHRjEQ9tLsbd1MKOUheTx2jjO2FULJsKK6iobfQbvxuyksw6N3slOU9u44asJFbll1Lv8eKwwabCClbll5I9bgSbCivMSOCVW0po8LTR0OzF3dTC0/mlLHphL5sKK0gYFuXX1+GMo1HHW6eO5ZEFU7h16lg2FVZ0GKlvHfd1e7T+X7pxP++XuoKe2UlJcZS5GrlkZAxF5XVcMjKGMlcjkyzPQO7EUewodfmNd01jK+dbfX7PqIExnoZgMJ49gTbB+Pq1KWwurMBug6/kjOd8q4//2npEG3sBO0pdfs+r09XI+VYfmworiNXfIwZ1Ta1Bz2ZOaoIpGKwvc+vz+tWrU2hp8xl1DLXzZkgG9cohYfFPcdgFrV5JbloCWyyz43AJpeP8uMod9kbo7W0yHhtlo8rtMc+zCXjopqywNl6/KTuZ0lMNft832rkyoC5TVr5Ls/fCGNoF+CR+db8yJaFDPe6Xf7qLMldjUNuMWUioehaV1xEXbef+Gyf7rTQAomyC3yzNC2sZa8xq7puVbtYNCIoSDXeD+6Ub93O+1YdNgJQwLzuZnaUuLhs3giOnG4L6L/D6GwrKAfzqs37PcXaUutqNRjW+v3xuBi/uOu73e1V+qV9Zw2PsaHtaXSjDOL+7enaj/JSEWA5X1ZMUH01NY4vmwVLh9puFby6sCBo/o8wHXz1Avcfrd+08/VzA9Oe3/n3nTG1zx02FFYyMtVPv8ZI8Iprqhpag56azcVyz20lFbaNZx/3ldSyemUZaYnyHK1DruNtt4PMR8plds9vJGwcqKHM1ms9TVnI8/zg9ze/6xgTAOt7XZSYFvROMlVUggf1uHd91e47jafWZ1zHuT+t1gaD7JhwC7+3A5zXKJqjY8H2aTx0LS0AM2pVD5iXDzQF22EW3BAOE1nF2ZSP09jYZ/59v+scX3H7NhLA3Xs+bnMR9N6b7ndPqlaSOHkZ5daNfci9DpWTgfGZhUN1DtdE6y33qa1OD2pUYHx2k17TWMy99NPffOJnVO8t46KYsHPYL99s/zw0/RfAzX8/hvlnpfnULzKcTrh66pNJt5p8yBOTS2RlMGD3MdO/taCP21TvLuG9WelB91i/J6zAa1XCdNDLbPp1fauqzNy+b6XfuuWYvX778Er8yrkxJIHvciHbb15kNy6j/4ap6hsfYqWlsISUhlvVL8vz6bdWinJDjZ5RZ8uQtfmXkWc61RgIHRgUbz0C9x4vDLnA1tIR8bjobxwfnZPrVcUb6aFYtyunUWGwdd69PG/crUxKCbHQ5qQnUNrUyzGGj1SsZ5rBR29QatAoNNd6h3glr7g6266YkxLJ0dobfeC6bnWm2e9nsDL/rrF+SF3Td465GbJ28vm8MWBWFmvRY65w9djhR9rAXDcAgDoJ79D+fe9IxdYEpIHYf+YI78iYGnbdmt7PDQJRQAU7bPj7F7/dXmsa/wIAeKyu3lFDgrCUp3oH7fBtTJ4xk11EXvyvSlpnGcJSebmBR7gT+VHIKmw32l9eZgTDr9jj9youJErzy4Ymgsuo9bXx0sp42n+Sf52YB2srBsnDglzuOcfKsx6/uzW2+oDaOHRlrBgrdu74oaLl6vtVL8Ymz3Dsr3TxmrWdReR0fnXSzfE4mz7+veWoYHPy8junpo8MOFOsswCzcILTiijrWfvAZoOnxK+s8/PHvJ3Gfb+twLK3X31BQzt8rzvLglzLMsp58+zBHzpwzXxihgo2MYKZXPvycvPTR7Cj9gmWzJ/PzvxyjwbKlbazDxuGT9WbfbSgo563ik1Sfa/Er09q+Fq/PL6jLmIHfd0O6+fnZbUfITI6n8qyHpPhovmho5qPKs2z/5Auz307UNvLex2eCxs8oc+HqD2huu3AjGPdRUXkdDc1tplCw/u1q8LCz9AwFzlpGxto53+ojeUQ0ZV80hgyE62wcA5+Fjp69jsZ96+HTLPtSht/18z86RXWDh4o6D8Nj7DS1+MgeN5wRsQ7zWQRt5RA43l80ePzq5Wrw8OTbnwTVpaG5jT/+/SS1Ta3meNps8PK+cpbNnsy6Pcc5UXvevM5HlWfZV1bj1963iquo97QFXdvKidrzfp+LjtfgiLL5tcPoy+yxwyk9cw67TVCz97VT4QbBDVrh8MR//+LJL331W+x7bD67j3xBcYU7pIDo6MEKFWF8z/oidh+tZmVAxGdJiBeCdZPxU/XNzMpMpPCzOqTPh1dqs4iHv5zFnmParM/V4GH53ExtZqlHH4eKMA0lGKxcOX4Ed+RNNFVKMXaB85mF/HLHMdPmsPex+cTH2FmVX8rWw6dZc/c0v+jR264az21XjefOdYV+wiUrOZ7aplZA03H+y5cvA/yNov9wzQS2Hj6tGelOufHoL5SVC7M552mlyu1hS/FJZkxO7FBAFDiruWd9EV/LTeHfv3KlWbcTtY28+tfP+VruBB5/s4Tn/nyUF++61qz/d189SEVtE1++fKzftR7/w0e0+bQZ4cKcFEpPN+CT2jL/t/dfFzJ61+rml5oY5xeNbvTPcT3g6b1/nWNGo75zqIp7dMG5ZEMR+8treLO4ilumjmVnqYupE0byp5JTNDS3kRTvYFh0FAItslWgrQRTRg3j01P1NLdJ/mnaBL8+sE4grBGujc1tPLvtiKmSMfpn+qRRFH5Wx/zsZE7UnWdMfDQlJ+uZlZnIs9+4mhO1jeYm9ffMSjfH78tXXMKSWeksXldIc5tkZKydH9w8xbxnv6j3mBOHrEviOV3fDMA/XDOenNQENhVW8NHJenLTEjhRe57ctAScriZSEmLZ+tFps6/DiWION9o68B4yxj0u2s7Cq7Rxb/VKsseP8Pvei7vKKDhe6zeWBcdriYkS5rNtqJQCx3vPMf93wgvva+nsbUCgYt4nYeLoYbx493QKP6vhNx+e4PrMRL5oaObYF41E2wU3XDqGS0bEsKPURVZyPH96eLb5vFonE50xZdwIas614JXwobOa74d4XmMddo6dOUdzm4/6ojfP/mjFoz8L59qDVq0U57CbqqQt37uR3LQESk8H750dmL9k6cYDftHH1v0RZmWOYVJSHA6b4MoUbal5ZUoCsQ4bNXqUopVNhRXYBcyYnGQmxLMLaPVpgiEu2s5z24+ycmE2NgG1ja28uOs4sQ4bv9dXFoax8a/OGq59ajvLZmciOlj9xTlsHNK9XAzBYKiWZl+WbHo/gLaszEyOZ3xCrF/06PK5Gfz7lsMAfmUJwNPmn9jP4OW95VyTlsCy2ZmUVLp56d7p3DkzzdS5zs9OxuuD//+WbHNJHGo/CGtu+pJKN9+akcqmwgou/+FWM8J7U2FFl6N/SyrdXDZuhL68zmBL8UnGjoghKznerz862ojdiEY30kbPyhxDrEPLhrt0dgag/XbYBGcams1rGIbU3LQEdh+tZl52ModP1pv/X3DlOJ5fnMtLS2YA2stkUe4EthSfxCchNy2B1w9UUuDU9vC4Ji2Bn2w7GqTuCKV6eqfkFOdb2th1tJqs5HiWzs7gfEsbZxqaSYp3sPuo9pLf+tFpspLjOXnWw9oPjvOv/9+lzM9O5sX3nea17AJKnryFVfmlxDlsjIy10+qDO2emEeewUVzh5s6Zadw5M40PnbWsWpRjjrUPTc9vjH91Y4tfX4cTxfzi+07mZSf7Gd7n6XUMZ9zvv3EyW/QNwOZlJwdFaRefOOtnLwoVWRzqnKR4B8McNr96GcTHRhFl08bTysmz/jP7z2uaqGlsISbKZkY4Vze24LAJ4mOjzOumJGjG9/nZyUFtHRlrJyZANXTG7SEmSnuNWyd5VieGU24PP7j5MlYuzEZEDxvZbmcGMGgN0l0NgjMCURblprD7aHWHKZjDNYAaXgJxDhvXZyaxo9QF4PfZuNGsgTAfV7n9/medrRg35bo9znaNUobxPdyUv6FSTi+fm8HqHWUAJMVHU17TZF4jPtpGY4vPLMcIwgHMdOHW6xoG/K/pfWsY4EL1W2BbrcZwY2kdaITsSmDUQATUGYbUTYUVZI8dzpEz58w25KQmhHRLjbIL7DaBAKLsNh6en2UaLQ2juLWvjf63GsqtrtMGhuujofbJTI5nx7/NNb3I7pyZhk/Cm387SXObj3nZydw/O4PvvnrQdCGe9uPt1DS2khTv4OAPFwR9tmK0J9ZhY9nsDNPgGk7Cx0A6ctnt7Fq3v7CXo6cbWDY7w8+xpLMA0O5iuLICxEXbaWrxN0w77IKv5Iwn/6PT+Hw+7DYbWZcM58jpBqKjbFyTNorS0w0hg/CM8W7oRLVkEGWDNh/mWAfS3SC4QatWWrt27ZMPPPBAWOdadZ1/KjnF8rkZPP6HwzhdDX4vMcMWsSg3td1kWFa+N+9S1u520tTq47PqCy/XGIeNI2fOmS/AQF3rv3/lCs7qroYv7Tnud65R36f+9CljR8Zw9nxrULnzL7+E+ZePDVKZGSqG+2dPNpfqFXVNeH2SX+4s81NJXDIi1lSh3DEjjcLPagHt5dLilaaR3fjOi3ddy1evTgmp2pg2KZHPaxrZUlzFVRNGsv2TL9p9Kd9+zQRzqf7SnuOcrm/GYRdcOnYEJZVupowbwaFKt6lPh46TkwWOc18kYOus/Onpicy/fCwFZdUcOllPXvpo1tw93VQJWfXAzW0+3j5URatXcu3EUaYK7zs3TiYxLprVO8t48EsZLJ+bafb1j/M/BTRhEdiuJbMm42rw8JFlpRIXrRlaHTZBs9eHp8XLziMukJJDFW5a23zmyueatNGs3nEMgH9bMIW0xDi+OyeTVz8sp6axlZ//5RjnW30hBQPAtEmJxMfY2VnqovCzWtp8wR514WJc6+n8UgrKqvn9/sqwBEOBs5oNez/D0+oz1WSGO+ud103sk+SRr35YbqbPbvWGnmB/eqoBKSU+qa36Pq6qxyYEUkrKa5q4Zeo43jh40u9eX7PbSfW5Zj44Vo3XJ0mItfvZgULhk9rq7pXvzAz5/4su8Z5BYORxoGeHIYVvvnKsmTjtxV3HmTZpNFuKq5hz2Ri/mbDh3x5u+t9PAoLuAr0c2kvctnR2RrseMA9t+huTEof5zeatvK2n7A5UmRkve2vbH9pczFevTgnyEjFUKIbXDGgzEAlE2wWn3B6uGD8iyIsolLdJgbOa3UerTePlnMuSO5ytW71BABw2wZHTDaQkxHLkdAOeljbueqnQrx3hjEdfJUIMp/xwI5j/dKiKWIfd7KsvXz6WX989jT8dqvIrAy5EyOdMSPDb4Mlo19oPjvP4myWkj4n3c15vatHsGq8szTPH975Z6Wz8Th42G5SeOYdNQHSUjS3FJ2n1+oI2ywoUBKEEg8GVKQlmnIbdhqmS7Q5d8RQ0KKl0s37JDFYszObp/FJ+/uejeFp9ZCTHB9Wlp0kdDVo6eGFnJcebdhqf1LYXOFxVT9roYbT5JC265+FbxSeDIpdzUhN45t1SWtp8LMpNwddBWIKh0rMJePvQqXafC2vGha4k3hvUK4ep87/u57UBwQboX+0q4+iZc+asKC0xDptNW1Z/9erxvFVcxec1Tby4y2naH7oy+7zih1tptbj6tHiln5dDlN3GfTekmzeAIcV/9NZhTtc3h/SA+d8DFXxyqkHT+w6L8tv5KSneQWJ8jOlFZJ3VBs44jdk9EOQlsig3lYq6Jp7ddoRLRsRQr0deDo/RPE5SEmI5+sU5MzbDSBH+7LYjXDtxFO99coZr0kaZRv1bp45l91FtW9O3ik+2a0Sc9z+7+PVup+n62+KVZv81NLfhsAua2yQjYu0sn5vVpdWAMVM3WLPbydiRsSzKTTWPBaZMthLKs23dHieP/+FwyFl7Vw2pBc5qfrmzjIfmZbL9ky+4Zeo43io+SazDxraPz/i18buvHjS9pvI/Ok3WJfF+16qoa2LzX0/w1+O1fKAbj2Pswk/vfLapxc9bSUrJoUpthSHRVok+CVF2zSBrbfe0H2/3u+9e/bCc74ZwKTViDFq9krz00Zys8/DuR6e4dlJ43mqBdMdbyRj3aZMSKSirNt1vVyy8vEMvr57w5t8qzVVfIIHHPa0+4qPtVDe2aPE3aJ6Hi3JTeK2ows+5oqKuibeKq/BJuHz8CD466Q4yeBtINFXsybMepJTYbcLPScOgxesz76cvPtgctrfSoLU5pF02VSbf/bN2dXaGjviXO8u4xhIgV+Cs5t6Xi4iNsvHRf9zCv/7+76YR62ffusZMiWHd1clIB7DzB3P96mDoHW0C7EL4CQkDh03wytI87t+43wxvz3w8H6/uRVN84ixCQE1jK1E2QdnTt/npM9uj/NmF5nlG2otf7XKaqTAAHp6XxQu7nHh9ks3LZporpLteKsQmBCOHOUhLHMahCm1mHWWD3yydyQ9eP2QGO5U/q6X7WLyuEJuA394/kzvXabN6gWaIDKyXkf7j6rQEKmqayJ04iqWzMyipdPPs1lK/c0O11a7Paj/98a3meJw86+GGrCT2ldXgbmrBfb6Nb89M48X3neROHEXxibMsvynT1FXvK6vh4Od1ZqoKo+1LXi4iaXgMHz4+H/BPl3D9MzuobWzhivEj+LymiefvvJa71xeRMCyKv1lmzoF2nVApF6wpNoxUBl6fJvhPuT0syk0x2/TMu6VMHnNBX/z4myW8VXySr+VO4Jmv5zD/p7twuhqZl53My/pq9P5XDgTpuUNhqCut/RwfbafR8l0jBQRgBrIZ4xCoMdm8bCb5JVXm83DhHnRw69RxpI+JN21l4xNiaW718rcfLTDHMX1MvGkHCHyuLv/hVs63+lippwUx7Dg2Acf1tDMPbfobifHR+CTm9y779620eX3cNOVCQJkW9AVXTkigova8uQoTwGeW4M6Mx/LxcSHgM9RYXvHDrbT5JEctaWp2HXF12vfhEh1l4+h/ahoIoz/HjozhTH1zR18DNHXSKbeHnbq90xq4atynL+wso6m1jbjoKD597q5TbfWulHDqNWjVSl80NDPnsjEhE2dZ1R+TkuIornCbHjI/euswrV7J2JGxrNvjZPdRF4tyJ7Dt8GnW7XGSPiYuaKvNzYUVfFuPBA2FTxJSMABIJIvXFZqG6wJntd8DlztxFDWNrebZHe3o1B61jS08smBKkGBYt+c4Xv3YT7aVmr99EoZF23l+cS5fybmwyrQLwUt7jvtFZoPWn0nxDnxS+/6IWDuSYMEQYxdMWfmuOdOxcSEdwT3rC4PH6ZkdIdvjlTBh1DAAvj0zTUs/ILQ0E5W1TRRXuLHpnxPjo9lR6iIxPpqn80tZurFIS0chtNQGEljychHPbT/CkpeLaPFK5lk8QazpEuZlJ9Pc5qO4ws3IYQ7u27Afr0/iCXgJ/+D1Q/z3tgtCbvlNmewMSLmys9TF+VZthy4jlYHdBk5XI00tXj+PLJ/UjluJstv46tXaM3xdhjZz/uBoNc9tP2IKhugwgpoKnMF7coxLuJCOQqDNPg2sEb+hVOn3bdhvps+wqjHqGlvZVFjB0xYnilNuD7VNrazb4zRTzRgpOwxD+vWZF1YFcdF2AP7q1NKCvH6g0uwfIy1IrMNOmSVIbOWWElrafPiklopiXnYyI3TvnzYfjNEnTobqVKIJBLggGKwvwVDpM5pafbR4JSu3lADgbgr2XOwJbbqHYM6T28xj4QgGgNcPVJqCAQiZnuSSkTF4fZrjSVfUSoN25ZCQNkUm3vmcabCyzuYCvUsmJQ6juMLtFw4vgZ2lLnNTcMM7KDctgdHx0bxvmYEEbhxulLX18Clz1h0Ohj755ivHUnqqnuIKt19irWi7oMUriY6y0dKOSynAt/PSeObrOR3OYKxpD+IcNppafSFTjazZ7eQn7x0xhYiVYQ6bmWzMmnogHAy3yZgom2lUt9oZOkOguUa+pufp+XuFm5GxUbg9bThs2iotbfQwKuvOMy87mR2lLrN9ycOjqT7XwriEWBqbW/1eeLlpCSTERfsl3nvv8Cm/+8OKw3bBNbng8fnMemYHVW4PI2PtZkTxkg1FZp4cw1tpXnYyf684S01jK1nJ8XwrLy3I+ywwNUWBvpopcFbzp0NVvPexfwI6q1fSyoXZvLjLSW1jaNWGEQXc5pN+aS/aIyUhllNuT7sqDK0v/FfHifHRTEwcxt/beQaM5+z9Uhepo4dRUXfeLKvK7WF+djKXjIxlUpLmmRZqLKJsgqTh0ZypbzbTghipaozrZCXHh7wvc9MS8IG5cli35zPOt/qPrwAe1ZPXgTaWlbVNlLkazTokxTsA/MqMREbE2HFE2YO86qzP7qmN35fNp8vCWhQM2pWDp83HDVlaqoL0x/JNKXn7C3tZunG/aQBOSxzGRyfd2MA0/l6XmcT+z+pw2ASbCyv4198Xs3pHGQ6boORkPfdbQtyzxw5n6+EzISVyUnx02PV9eF6WacjNSI6n9PQ5hgUk1mrxSqJsdCgYhjkuDNkDX8ogsZ06GC8dgJRRw/xSjVyRMtJMwZGTmkB7EwRrIkMj9YA9zDvmM90bwxAMUTbCFgygCcyn80vxtHoprnAT57Dh9rRpAWQ+iQ2oqDtvpsgYMzza9BpxnWshdXQsrgZPUO6b4gp3UOK9z2vPE+uwca7Z65cGRAD/99ZsBFDl9pD+WD5Vbg8C/FInVNQ2saPURfLwaErPnGPM8Gh9y0g7UTYoczXyi78cM883irCO0Zwp2mqmwFnNveuLeKfklDnjvXzcCNLHxBOlT5eN3/UhPNkMsseNMP3pO3uZJcU7OF3fsWCA4NXxnMvG8ElVfchUDyNjo9h9tJrxCbHMSB+tbXOp/6/K7W7qtywAABYDSURBVCEp3kGBs4bXD1Sa91ROagKlp8+Z98owh40ou+BMfTNRNsxYo5rGVhw2TCEdSjCkjdZWnp9U1ZvvgkcWXBpk3h0dH+23or0hKwmnSwtUO9esrc6MxHtJ8Q6z7n1F1xJc+BMdZQvpMPJfW0sp09tkJvYKg0ErHIbHRLG3rNo0rC2fq+m0k+Kj8bT6+LhKm82MiY+mzaepQIwXwKr8Um3pqXfTluIqznnaaPVJou2C9XuOs7+8jinjRlB65hyTEodxr66asMYM3K8HRoXD6p1lzMpMYkNBOT957yij4xyc12fzVjqQCwCcb/WZ6oa1HxynNkRwnpUom6DM1WgKhlavZFNhBR59BlVS6SZjTHzI7948VVuBrtnt5EdvHaa2scUvTUaH5QrYdvh02O0KxYqF2eaLrVE3jhqvJx/aC2B/eR13vVRI9bkWv76sqPP4lWn8xy78vWlmZY5hUuIwPHrSNkPApCTEIoFntx5hcYBKccXCbD8PqDvytP+7zrUQ67DhOqeNydnzrfxm6UzzRQOQPDw6pLrmd0UVPLf9CPeuL6LVpyWEM7yXPnTWsCq/lDafZvRt80n9c/t9d6jSTXMYnT7MYaOmsZXuKBC2FFfR4pUhs/jWe9qItgs2FVaYkyxrbYwX7tgRMazeUWYGADrsF+6V860+mvVxb/NpAseg1aeNaajEd6BNHIor3Hxzeqr5klw2OzNIANY1tvh5CxmBoy1eiU1oE7as5Hiuz0g0nShq2lmt9QY90ePcMnVcSK8647lo8UranQmGYNAKh3OWEHO7DVbvKOPzmkZeXpJnurR9c02BGZgG/jPyKreHVq80B8P4fb7Vx45SF9ekJeBqaCY3LYHiCjcTRg0LksiL111wtwwHQ//b0uajyu1h7MiYIB/pmKjOBbtRbjhGMasdInl4jPn3mQYP6/ZowVvtqYoM47FVnTRuZEzIcwNp9kpSOki13Bk2oT2o8Y72b9GKuvOa7UNqKrn2/M1BG9/k4Q68Ej832Wk/3k5xhZv0pDg/wdfcpu1j4PVJP3UOaCua9tKReywePpeMiOEn20q1h1KnsZ3UCBJtAtHqk9gF/L3CbbpfR0Vd6IPrMpKICuOpbccEFoSZwTa807tEk6UvSs+cC3lOldtDg6eN7756kPTH8v1e9laVKxAUFBZOnTdbxi6U84MMOL50YxFlrkYSYqPwSUiIjaLM1ciOUhdTU0aa2odIZFNhRci9zq3330WxcrDS5oNmfSa8ZreTK1MSTLWQQWyULewHZnScg+IKN8kjYvh7hZvctAROnj0fVtxDZ1xteamcqW8OWkZ2FvDSHikJsR1+Bn/1gtenveTe/NvJDq976cp3/YRHqKC89qioDR2nES7r9jhpbA329A5lh23pQDAApI4ehutcq/79Cxdwn9deOF80NDM82u53fGGOv1OHYbiVwIOvXojOf01PnWFl3MgYyms047kh8AX+L8z28EqtjC/qtfESlsne6p1lXV6FBaZ2CCTc56IvCRUNHFit7lRTQsjn9YbMpKD7qsBZzY5SF3EOG/UeLVmjNQFeldvDw/OyuqQe7W+MiWtJpdvUpnSXISEcQHs5/O+BSl7YeYy7Xio0A5IMPG2+TtPgGtQ1tTIiNoojpxuYMnY4n9ee55Xv5AVJ5JGxXZtB2AXsDcj30p0bfnxCrN8NP2Xc8CC9cjhGsxULs/182UMROBv3hPFyM5jYiS95R7pbn9SEl6HeseKVF9RENhGenvZk3YVcN7HRdtbtcbJkQxFfukx7mJpavFyRciHtTOroYSzdeEEA3JiVRFF5HVMnaOc0WGa4CcOiKDbdgbXanK5vxia0+rX5tE2VujLWAs3APeuZHX77dXSV4TF2dh/tPbfLwciSl4uY89/v+x3762c15nik6M/TQ5uLibYLmlp9ZCbH8/qDs8hMvqByzU1L4JEFU7r83PcXDssLztgStSdb/Q4Z4QCaCqWh2YtPagnlrsvwT97WlRlSg6fNtDnkpiWYEtgadduevrM9wnnGwzF2nXJ7zFw7AEdOn/MThOGyKr+U2HB0FN3keHXHnk2d6W6tNgfAT7hLNCO/T4YnYAPVE6v0TLufnmog2i7M/X8NymuayLC8GPaV1TBl3AgzoZ71etbZWfa4EWYiNJ/UVopen2w32r2z+vbUM+Zcs5es5NA2pYuFFq/k84BVrFWFWOX2mPnGjBVomauRqU9s81s1G8K6q899f2F1GLBmT+guQ0o4WPFJTN/m7jA/OxlXQzPzdTfJF96/cK3AzWh6k3CNXYG6a+uLrSu0l4W1N+ipumLD3nLzb1uI610XQjUQLjah+eafcnto8wUbVa9MGcnHVRfyFUngSIisv+Av9A9X1fsZgou74OocilDqwa7S3XvjYmLOZck8866/q3Eo9VGkurG2R1e3TrYS1fkp/YMQ4hbgF4AdeElK+exA1mdvWQ23XTWetw9pOvlwMyT2F5GgJ+5rrA9iKBHWVYcAK9b+C9WXVsEwkKSOHjboXkiDkS3FHdveBgtGNoPeICJWDkIIO/ACcCtwBfBtIcQV3blWYL7z7tLc5mNL8Ulz+XmxL80VA4Oa9Su6Qm8JBogQ4QDkAWVSyuNSyhbgd8DtXb1ISkJsjxNqtXfdv4TIkz6sAzdLReSzUt/MvTs8duuF7347r/3UKorBRVS4XisXAZHydpsAWJ3JK/VjfgghHhBCHBBChNzl55Tb06kRNBwcATdITWNLSHe4zjx9FD2jN/Tt7WET/jaNrmJNIFh6KjJUUIqeoXmWXQT62jCJFOEQSlwHjZKUcq2Ucnp7OxkZAVE9xbD6GzKiuc1nJq5T9B99qWv3SS22oTfoSn4tReSi5II/kSIcKgHr2jwVqOrJBeMcNr/0taClJg53NpqVHM/xZxaatobDJyPrBRAYdBXY1sDP3aW3rhOJWGeJgf3ZlVVLX64fQ41rXBfVmUN5DEMRqnu6o0IM1W991Zf9NUa+8w1hB71EinDYD1wqhJgshIgG7gDe7uxL7XVonMNm7tBm1SH++u5pZuZLg2/npQVdJyneYdoY/vJvc8lKjkeG4TQZToyCtaxwb75Qx4ysqu39P9Q1unsDdlbn9s61Es4Lrb0HOPBFHaPHJRiEexPPnRK8aTvgl6XWoC4gLXNX+q8n/RzOdz/58a0h+7O7wVm9cV/09FhvnnPs6YV+AqL82YXsKwtOXR5OWV2593tKb1y/s2sIR2zYvq0Rk7JbCHEb8HM0V9aXpZSrOjp/+vTp8sCBkKYHhUKhUIRACHGwPbV8IBET5yClfBd4d6DroVAoFIrIUSspFAqFIoJQwkGhUCgUQSjhoFAoFIogIsYg3VWEEC7g81685Big+xs19C2qbt0nkusXyXUDVb/uEqn1ApgkpQztthfAoBUOvY0Q4kC4Vvz+RtWt+0Ry/SK5bqDq110itV5dRamVFAqFQhGEEg4KhUKhCEIJhwusHegKdICqW/eJ5PpFct1A1a+7RGq9uoSyOSgUCoUiCLVyUCgUCkUQF41wEEJE7C4ekVw3Rc+I9LFV9esekVqv3uSiEQ6E3jMiUhgFIISImFxXVoQQ84QQ4wa6Hu0hhBhl+TvSxtlMKRuBdQOIHugKdEIk9hlE+DPbGwx54SCEuE0I8UfgJ0KIuQNdHytCiAQhxHZgG4CUsm2Aq+SHEGKWEOJjYAkwfICrE4QQ4lYhxG7gBSHE4wAyQoxoQogFQogC4HkhxJ0QOXUD87nYBvxCCHH3QNcnkEh9biP9me1NhqRwEBrRQoifAk8CawA38G0hxMwBrZw/HqAOmCqE+CcAIUT3kvL3Mno9lgGrpJT3SCnLBrpOVoQQeWhj+1M075BrhRBTB7RSOkKIZOAp4L+BzcC3DOElhBjQZ04IESWEWAH8B1qK/D3AbUKIrw5kvWDQPLcR+8z2NkNSOEiNFuAosFhKuRV4CW0p6B3QyunoN9Qo4K/At4BfAkgpvRGifhiJtqR/V39g7xZCZOmbMUWCiuQG4AMp5dto+4974f+1d+7BVlV1HP98L+KDh4I6amq+wBeimViKyiMLx1J8pfkosyAbKx9Z6qgB44OwJseadEyjP8x3imgOTuKrCUkzAQXxlSJOvs1KBM0XfPtjrcM93osCl3v22Xff32dmzzl773XO/szeZ+3fWY+9FgtqN99m+eXjbgrMtX2b7XuBs4EzJG1se1kzz13+p/sccIztO0mTar1MCaqXyp5vu0Ce7VQqFRwknSppsqQT86bJwHOS1rb9MtAX2KjJbmMkyfZS4C3gINvTgHmSJkgabNtF/9jq/MbmTS3AdsBuwM3AaGAScGXtI03yq13be4DjJF0KzAA2B35D+kdcKJJOkDQKllcdLQH2kbRh3vYE6RxeWrRbW7/MVGChpJ62F5Om5e3VDDcob74te55tOLYrsZDqxf8GHAj8BTgHGFi3vz9wL7BZCdzOBQYAmwATc5oxwIfArLzes4l+44D1gJ8BC4Cjc7o+wL+APZt8/saT/sH1By4BRud0OwPzgV0K8uoPTAFeAeYBPer2XQ1c0ybtQ8C2BZ63FfoBLXVp1gVuA3Ys8pp+wrUtRb4te54tYqlSyeGLwM+diso/Jv3oj6vbvw2wyParkraUtH+T3Y4C/gd8OTdwnQrcR+tIs0U2dK3I7/vABKB3XrC9BLiRlGGLpK1fT+Bk2/8FdqD1nD0FPAisU4RUPv5dpKA0m3S+apwMHCjpc3n9bWAu8NHJqZvnV6MfsK7tpyV9WtJXi/LLlDXflj3PNpwuHxzqGvgeAQ4GsD2LdJPYXNKwvH8LoIekU4A7gIZ3zfwEtweAbYH9gLuBv9ve3fYBwEhJ2zr/FWmS30xgEPAp4CzSTW60pHGkuv4nG+22Er8HgG0kDSJlzt9J6kUq8QwGXizArVaFcLXtN4HLgSMkbZ093yJVcY2XdEKd25JGu63Mz6ndo9YFczugr6QfktofVmk4507wK2W+LXueLZIuFxwk7SJped9x28vy278CLZKG5/X5pOJ07cc0ilRvPhD4iu3rm+j2OPASqS51gu1xdV+zle2Fne22mn7zSTfYIbavJvUa2Q/YCjjYdkNuvh3w28n2JcDTpOqTQcARtl8vwM359d38+jDwJ+CndWkuI/UIGgJsDRxpe1Fnu3XEz61dMIcAQ0n54iDbVzTIb19JA+r8SpFvV8OrKXm2mXSZ4CBpN0kzgYnUNU7VRfpnSBfwaEk98g1sM1I9IcAtwCjbp9l+qcluL5AaULe2/b6kHrW0tt/uTLcO+r1IqlvdPjvdB5xj+7tODYRl8NsU2DHvH0vq3XKs7VcKcpPad0u9DBiYb9SbShqYz93ptk8o+Nytit9GwJ+BEbZPbpDfHrkK5j5gg7rtTc23HfAqNM+WgS4THEjF8im2D6/9SPJFq0X6xaQ+22sDF0vqSaobfx3A9gynboVlcesH/Du7La1LWxa//qTGZ7JjGf1ey27v56qTIt2cq2fWk9Qne/wTuBV4jNSIuX7e3shumB31m0G60c23fX9nS0nqKelK0jMovwamAyPr/JqSb9fQq8g823RKHxwkteRi3xLbv8rbRikNmaC8PpH0sNEiUqNbf9KFXQT8vju6hV8hbhcC15Hq7ZF0LKkh/2JgV9tzSuw3uJF+pE4BM4BhTt0+pwI7S1qrFiwlnU/x17asXqWjlOOCSNob+I/tf+R/P68DwyQdDHyH1M3yNeBJSTeQfvznOD/FK2kM0NupD3e3cQu/wt0GAGe59enxhcDIBrYZdRk/4G3b19Xt7gEstf2hJAG7kqotz7a9IH++Ide2rF6lxyXoT1tbSMW2O0hFunGkC1Lbdy4wBzgkrw8H/ggMrUvT0h3dwq/pbj0a5daV/UglmJb8fiApcPWv7Wv0tS2rV1dZylat1JtUB3hKfj+8bt80Up/nDfP6LOBV0lgnSGpxY+sAy+wWfs11a/TQDl3Sz4llueH2+ZxmRG1fnV+jrm1ZvboETQ8Okr4paYSk9Z0a1H4L3ET6ce8laQsA2/OAM4EfSNoY+AapCFhrIOr0C1lmt/CrrltF/DbP6ZQdat1sa0FLjfArq1dXpCnThOYLsBmp0WcZaYiG3sBptt/IafYFvkZ6NP2aus/+iFQPvT2pi+AT3cUt/KrrVkG/h21fm7f1cBqc7hpgge3zuoNXl6foeixax3fZAbg2v1+LNCjZ1DZpTyf1394A6Fu3vSFjmJTZLfyq61Zxv16N9CurVxWWwqqVlMaRnwRMkjSC9ADTUlj+tOapwNC8r8Zk0mBvdwPP1oqEtj/oLm7hV123buK3sBF+ZfWqEoUEh3yBZpP6Cz8LXAh8AHxBadIWnEL4BaRJPmocROqXPZfUb7wRT3CW1i38qusWftXzqhxFFE+AYcDxdeuXA98jDYs7O29rIdUb3gRsk7cdCgzvrm7hV1238KueV9WWYg6SJhJZh9b6wa8DF+X3jwKn5Pd7AjcUegJK7BZ+1XULv+p5VW0ppFrJ9ju233Nrf+tRtI7b823S4+vTgBtID/Qs71LWnd3Cr7pu4Vc9r6pR6PAZSnOwmjSi5u1582LSU56DgYXOg4c5h/5wC78qu4Vf9byqQtEPwS0jzeL1BrBbju7jgWW2Z7qTh9KukBuEX1XdIPyq5lUNiq7HAvYmXdSZwNiij99V3cKvum7hVz2vKiyFPyEtaUvgeOAS2+8VevCVUGY3CL81ocxuEH4dpaxeVaApw2cEQRAE5abpA+8FQRAE5SOCQxAEQdCOCA5BEARBOyI4BEEQBO2I4BAEQRC0I4JDEGQknSfpjE/Yf5ikQavwPR9JJ+kCSV/qLM8gKIIIDkGw6hwGrDQ4tE1ne4LtexpmFQQNIIJD0K2R9BNJT0u6hzRhDJJOlPSwpLmSbpHUS9I+wCHALyQ9KmlAXu6UNFvS/ZJ2+ph0V0k6Mn/385ImSXpQ0ixJe0iaLmmBpJPqvM7MDvMknd+EUxN0cwodeC8IyoSkIcAxwGdJeWEOaRKZqbYn5zQTScMyXCrpdmCa7Sl5373ASbafkbQXcLnt/VeQru2hX7A9VNIvgauAfUkT3T8OXCHpANJc0J8HBNwuabjtGQ07GUHQhggOQXdmGHCr7XcA8k0dYHAOCv1I00pOb/tBSX2AfYCb627+66zicWvHeQzoY3sxsFjSu5L6AQfk5ZGcrg8pWERwCAojgkPQ3VnR+DFXAYfZnivpW8DIFaRpAd60vXsHjlkbA2hZ3fva+lqk0sJFtq/swHcHQacQbQ5Bd2YGcLik9ST1BUbn7X2BVyT1JM0yVmNx3oftt0iT1B8FaTIZSZ9pm66DTAfG5NIJkraQtMkafF8QrDYRHIJui+05wB9IU0veAtyfd40HHgLuBp6q+8iNwJmSHpE0gBQ4xkqaS2ovOPRj0q2u113A9cCDkh4DprBmwSYIVpsYlTUIgiBoR5QcgiAIgnZEcAiCIAjaEcEhCIIgaEcEhyAIgqAdERyCIAiCdkRwCIIgCNoRwSEIgiBoRwSHIAiCoB3/BxpGqiyZ4qMBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Plot donations vs. time\n",
    "df.sort_values(by='datetime').plot(x='datetime',y=\"Amount\", style =\"x\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Accumulate donations vs. time starting from oldest donation\n",
    "df['cumsum'] = df.sort_values(by='datetime')['Amount'].cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f544001e828>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Accumulated Donations vs. Time\n",
    "df.plot(x='datetime',y='cumsum')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyze donations based on size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Restrict attention to donations exceeding a threshold amount\n",
    "big = df.loc[df['Amount'] > 30000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.061702853947046846"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Big Donations as a fraction of total donations\n",
    "big['Amount'].sum()/df['Amount'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-5</th>\n",
       "      <th>945</th>\n",
       "      <td>Sandman Hotels, Inns &amp; Suites Ltd</td>\n",
       "      <td>85000.0</td>\n",
       "      <td>2017-04-28 00:00:00</td>\n",
       "      <td>2017-04-28</td>\n",
       "      <td>15239725.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-19</th>\n",
       "      <th>433</th>\n",
       "      <td>Wesgroup Properties Ltd</td>\n",
       "      <td>75000.0</td>\n",
       "      <td>2017-05-12 00:00:00</td>\n",
       "      <td>2017-05-12</td>\n",
       "      <td>18053801.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>779</th>\n",
       "      <td>Aquilini Investment Group LP</td>\n",
       "      <td>75000.0</td>\n",
       "      <td>2016-11-10 00:00:00</td>\n",
       "      <td>2016-11-10</td>\n",
       "      <td>8234965.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6602</th>\n",
       "      <td>Independent Contractors &amp; Businesses Associati...</td>\n",
       "      <td>60000.0</td>\n",
       "      <td>2016-08-07 00:00:00</td>\n",
       "      <td>2016-08-07</td>\n",
       "      <td>6123515.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15516</th>\n",
       "      <td>Westbridge Finance Inc</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>2016-04-15 00:00:00</td>\n",
       "      <td>2016-04-15</td>\n",
       "      <td>3092883.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2017-Contributions-May-12</th>\n",
       "      <th>34</th>\n",
       "      <td>Anthem Properties Group Ltd.</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>2017-05-06 00:00:00</td>\n",
       "      <td>2017-05-06</td>\n",
       "      <td>16739929.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>Interfor Corporation</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>2017-05-06 00:00:00</td>\n",
       "      <td>2017-05-06</td>\n",
       "      <td>16994279.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>14013</th>\n",
       "      <td>Starline Windows (2001) Ltd.</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>2016-03-06 00:00:00</td>\n",
       "      <td>2016-03-06</td>\n",
       "      <td>1788467.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13635</th>\n",
       "      <td>Shape Properties Corp.</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>2016-07-13 00:00:00</td>\n",
       "      <td>2016-07-13</td>\n",
       "      <td>5701462.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-19</th>\n",
       "      <th>283</th>\n",
       "      <td>Maple Ridge Plaza Properties Ltd.</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>2017-05-12 00:00:00</td>\n",
       "      <td>2017-05-12</td>\n",
       "      <td>17573426.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Copy-of-2016-Contributions-v4</th>\n",
       "      <th>11933</th>\n",
       "      <td>Peter Redekop</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>2016-01-15 00:00:00</td>\n",
       "      <td>2016-01-15</td>\n",
       "      <td>322847.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-31-201</th>\n",
       "      <th>1665</th>\n",
       "      <td>The Pacific Investment Corporation Ltd.</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>2017-03-25 00:00:00</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>12894264.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>3481</th>\n",
       "      <td>Dayhu Investments Ltd.</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>2016-10-06 00:00:00</td>\n",
       "      <td>2016-10-06</td>\n",
       "      <td>7088503.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14471</th>\n",
       "      <td>Tech Projects Ltd</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>2016-02-26 00:00:00</td>\n",
       "      <td>2016-02-26</td>\n",
       "      <td>1086720.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6721</th>\n",
       "      <td>ITC Management Inc</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>2016-02-26 00:00:00</td>\n",
       "      <td>2016-02-26</td>\n",
       "      <td>868810.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-31-201</th>\n",
       "      <th>1360</th>\n",
       "      <td>Polygon Homes Ltd</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>2017-03-25 00:00:00</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>13138710.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-12</th>\n",
       "      <th>493</th>\n",
       "      <td>Robert Lee</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>2017-05-06 00:00:00</td>\n",
       "      <td>2017-05-06</td>\n",
       "      <td>16816079.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-31-201</th>\n",
       "      <th>1759</th>\n",
       "      <td>West Fraser Mills Ltd</td>\n",
       "      <td>37500.0</td>\n",
       "      <td>2017-03-25 00:00:00</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>12645513.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>1947</th>\n",
       "      <td>Canadian Classified Network Inc</td>\n",
       "      <td>35000.0</td>\n",
       "      <td>2016-01-15 00:00:00</td>\n",
       "      <td>2016-01-15</td>\n",
       "      <td>371222.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12149</th>\n",
       "      <td>Progressive Waste Solutions Canada Inc</td>\n",
       "      <td>35000.0</td>\n",
       "      <td>2016-03-06 00:00:00</td>\n",
       "      <td>2016-03-06</td>\n",
       "      <td>1583542.44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                              Donor Name  \\\n",
       "2017-Contributions-May-5        945                    Sandman Hotels, Inns & Suites Ltd   \n",
       "2017-Contributions-May-19       433                              Wesgroup Properties Ltd   \n",
       "Copy-of-2016-Contributions-v4   779                         Aquilini Investment Group LP   \n",
       "                                6602   Independent Contractors & Businesses Associati...   \n",
       "                                15516                             Westbridge Finance Inc   \n",
       "2017-Contributions-May-12       34                          Anthem Properties Group Ltd.   \n",
       "                                259                                 Interfor Corporation   \n",
       "Copy-of-2016-Contributions-v4   14013                       Starline Windows (2001) Ltd.   \n",
       "                                13635                             Shape Properties Corp.   \n",
       "2017-Contributions-May-19       283                    Maple Ridge Plaza Properties Ltd.   \n",
       "Copy-of-2016-Contributions-v4   11933                                      Peter Redekop   \n",
       "2017-Contributions-March-31-201 1665             The Pacific Investment Corporation Ltd.   \n",
       "Copy-of-2016-Contributions-v4   3481                              Dayhu Investments Ltd.   \n",
       "                                14471                                  Tech Projects Ltd   \n",
       "                                6721                                  ITC Management Inc   \n",
       "2017-Contributions-March-31-201 1360                                   Polygon Homes Ltd   \n",
       "2017-Contributions-May-12       493                                           Robert Lee   \n",
       "2017-Contributions-March-31-201 1759                               West Fraser Mills Ltd   \n",
       "Copy-of-2016-Contributions-v4   1947                     Canadian Classified Network Inc   \n",
       "                                12149             Progressive Waste Solutions Canada Inc   \n",
       "\n",
       "                                        Amount                 Date  \\\n",
       "2017-Contributions-May-5        945    85000.0  2017-04-28 00:00:00   \n",
       "2017-Contributions-May-19       433    75000.0  2017-05-12 00:00:00   \n",
       "Copy-of-2016-Contributions-v4   779    75000.0  2016-11-10 00:00:00   \n",
       "                                6602   60000.0  2016-08-07 00:00:00   \n",
       "                                15516  50000.0  2016-04-15 00:00:00   \n",
       "2017-Contributions-May-12       34     50000.0  2017-05-06 00:00:00   \n",
       "                                259    50000.0  2017-05-06 00:00:00   \n",
       "Copy-of-2016-Contributions-v4   14013  50000.0  2016-03-06 00:00:00   \n",
       "                                13635  50000.0  2016-07-13 00:00:00   \n",
       "2017-Contributions-May-19       283    50000.0  2017-05-12 00:00:00   \n",
       "Copy-of-2016-Contributions-v4   11933  50000.0  2016-01-15 00:00:00   \n",
       "2017-Contributions-March-31-201 1665   50000.0  2017-03-25 00:00:00   \n",
       "Copy-of-2016-Contributions-v4   3481   50000.0  2016-10-06 00:00:00   \n",
       "                                14471  40000.0  2016-02-26 00:00:00   \n",
       "                                6721   40000.0  2016-02-26 00:00:00   \n",
       "2017-Contributions-March-31-201 1360   40000.0  2017-03-25 00:00:00   \n",
       "2017-Contributions-May-12       493    40000.0  2017-05-06 00:00:00   \n",
       "2017-Contributions-March-31-201 1759   37500.0  2017-03-25 00:00:00   \n",
       "Copy-of-2016-Contributions-v4   1947   35000.0  2016-01-15 00:00:00   \n",
       "                                12149  35000.0  2016-03-06 00:00:00   \n",
       "\n",
       "                                        datetime       cumsum  \n",
       "2017-Contributions-May-5        945   2017-04-28  15239725.38  \n",
       "2017-Contributions-May-19       433   2017-05-12  18053801.51  \n",
       "Copy-of-2016-Contributions-v4   779   2016-11-10   8234965.96  \n",
       "                                6602  2016-08-07   6123515.38  \n",
       "                                15516 2016-04-15   3092883.44  \n",
       "2017-Contributions-May-12       34    2017-05-06  16739929.01  \n",
       "                                259   2017-05-06  16994279.01  \n",
       "Copy-of-2016-Contributions-v4   14013 2016-03-06   1788467.44  \n",
       "                                13635 2016-07-13   5701462.88  \n",
       "2017-Contributions-May-19       283   2017-05-12  17573426.01  \n",
       "Copy-of-2016-Contributions-v4   11933 2016-01-15    322847.79  \n",
       "2017-Contributions-March-31-201 1665  2017-03-25  12894264.39  \n",
       "Copy-of-2016-Contributions-v4   3481  2016-10-06   7088503.35  \n",
       "                                14471 2016-02-26   1086720.44  \n",
       "                                6721  2016-02-26    868810.44  \n",
       "2017-Contributions-March-31-201 1360  2017-03-25  13138710.53  \n",
       "2017-Contributions-May-12       493   2017-05-06  16816079.01  \n",
       "2017-Contributions-March-31-201 1759  2017-03-25  12645513.57  \n",
       "Copy-of-2016-Contributions-v4   1947  2016-01-15    371222.79  \n",
       "                                12149 2016-03-06   1583542.44  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 20 biggest single donations\n",
    "big.sort_values(by=\"Amount\", ascending = False).head(n=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Identify donations based on a `string` in 'Donor Name'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "def df_filter(name):\n",
    "    return df.loc[df['Donor Name'].str.contains(name)].sort_values(by='datetime')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>911</th>\n",
       "      <td>Automotive Retailers Association</td>\n",
       "      <td>1750.0</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>12600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>912</th>\n",
       "      <td>Automotive Retailers Association</td>\n",
       "      <td>625.0</td>\n",
       "      <td>2016-02-29 00:00:00</td>\n",
       "      <td>2016-02-29</td>\n",
       "      <td>1370150.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>913</th>\n",
       "      <td>Automotive Retailers Association</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>2016-03-31 00:00:00</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>2102728.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>914</th>\n",
       "      <td>Automotive Retailers Association</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2016-05-31 00:00:00</td>\n",
       "      <td>2016-05-31</td>\n",
       "      <td>4558536.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>915</th>\n",
       "      <td>Automotive Retailers Association</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>2016-05-31 00:00:00</td>\n",
       "      <td>2016-05-31</td>\n",
       "      <td>4564366.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>916</th>\n",
       "      <td>Automotive Retailers Association</td>\n",
       "      <td>700.0</td>\n",
       "      <td>2016-08-17 00:00:00</td>\n",
       "      <td>2016-08-17</td>\n",
       "      <td>6135315.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Copy-of-2017-Contributions-Janu</th>\n",
       "      <th>10</th>\n",
       "      <td>Automotive Retailers Association</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1/13/2017</td>\n",
       "      <td>2017-01-13</td>\n",
       "      <td>10818058.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2017-Contributions-—-February-3</th>\n",
       "      <th>34</th>\n",
       "      <td>Automotive Retailers Association</td>\n",
       "      <td>875.0</td>\n",
       "      <td>2017-01-27 00:00:00</td>\n",
       "      <td>2017-01-27</td>\n",
       "      <td>11202575.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Automotive Retailers Association</td>\n",
       "      <td>1750.0</td>\n",
       "      <td>2017-02-01 00:00:00</td>\n",
       "      <td>2017-02-01</td>\n",
       "      <td>11262125.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-—-February-1</th>\n",
       "      <th>12</th>\n",
       "      <td>Automotive Retailers Association</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2017-02-03 00:00:00</td>\n",
       "      <td>2017-02-03</td>\n",
       "      <td>11416550.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-—-March-17-2</th>\n",
       "      <th>5</th>\n",
       "      <td>Automotive Retailers Association</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2017-03-10 00:00:00</td>\n",
       "      <td>2017-03-10</td>\n",
       "      <td>12065799.34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                           Donor Name  Amount  \\\n",
       "Copy-of-2016-Contributions-v4   911  Automotive Retailers Association  1750.0   \n",
       "                                912  Automotive Retailers Association   625.0   \n",
       "                                913  Automotive Retailers Association  2300.0   \n",
       "                                914  Automotive Retailers Association   300.0   \n",
       "                                915  Automotive Retailers Association  1150.0   \n",
       "                                916  Automotive Retailers Association   700.0   \n",
       "Copy-of-2017-Contributions-Janu 10   Automotive Retailers Association   300.0   \n",
       "2017-Contributions-—-February-3 34   Automotive Retailers Association   875.0   \n",
       "                                35   Automotive Retailers Association  1750.0   \n",
       "2017-Contributions-—-February-1 12   Automotive Retailers Association   250.0   \n",
       "2017-Contributions-—-March-17-2 5    Automotive Retailers Association   500.0   \n",
       "\n",
       "                                                    Date   datetime  \\\n",
       "Copy-of-2016-Contributions-v4   911  2016-01-01 00:00:00 2016-01-01   \n",
       "                                912  2016-02-29 00:00:00 2016-02-29   \n",
       "                                913  2016-03-31 00:00:00 2016-03-31   \n",
       "                                914  2016-05-31 00:00:00 2016-05-31   \n",
       "                                915  2016-05-31 00:00:00 2016-05-31   \n",
       "                                916  2016-08-17 00:00:00 2016-08-17   \n",
       "Copy-of-2017-Contributions-Janu 10             1/13/2017 2017-01-13   \n",
       "2017-Contributions-—-February-3 34   2017-01-27 00:00:00 2017-01-27   \n",
       "                                35   2017-02-01 00:00:00 2017-02-01   \n",
       "2017-Contributions-—-February-1 12   2017-02-03 00:00:00 2017-02-03   \n",
       "2017-Contributions-—-March-17-2 5    2017-03-10 00:00:00 2017-03-10   \n",
       "\n",
       "                                          cumsum  \n",
       "Copy-of-2016-Contributions-v4   911     12600.00  \n",
       "                                912   1370150.44  \n",
       "                                913   2102728.44  \n",
       "                                914   4558536.45  \n",
       "                                915   4564366.45  \n",
       "                                916   6135315.38  \n",
       "Copy-of-2017-Contributions-Janu 10   10818058.78  \n",
       "2017-Contributions-—-February-3 34   11202575.63  \n",
       "                                35   11262125.63  \n",
       "2017-Contributions-—-February-1 12   11416550.63  \n",
       "2017-Contributions-—-March-17-2 5    12065799.34  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Retailers')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"13\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>4611</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-02-26 00:00:00</td>\n",
       "      <td>2016-02-26</td>\n",
       "      <td>1147310.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4612</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2016-03-24 00:00:00</td>\n",
       "      <td>2016-03-24</td>\n",
       "      <td>2086525.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4613</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>2016-04-15 00:00:00</td>\n",
       "      <td>2016-04-15</td>\n",
       "      <td>2816448.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4614</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>2016-04-22 00:00:00</td>\n",
       "      <td>2016-04-22</td>\n",
       "      <td>3202678.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4616</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>750.0</td>\n",
       "      <td>2016-05-20 00:00:00</td>\n",
       "      <td>2016-05-20</td>\n",
       "      <td>4241072.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4617</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-05-27 00:00:00</td>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>4363478.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4615</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>2016-06-05 00:00:00</td>\n",
       "      <td>2016-06-05</td>\n",
       "      <td>4669701.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4618</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-06-24 00:00:00</td>\n",
       "      <td>2016-06-24</td>\n",
       "      <td>5201365.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4619</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2016-07-13 00:00:00</td>\n",
       "      <td>2016-07-13</td>\n",
       "      <td>5605597.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4620</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2016-07-15 00:00:00</td>\n",
       "      <td>2016-07-15</td>\n",
       "      <td>5724372.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4621</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>2016-09-22 00:00:00</td>\n",
       "      <td>2016-09-22</td>\n",
       "      <td>6641549.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4622</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>5200.0</td>\n",
       "      <td>2016-10-31 00:00:00</td>\n",
       "      <td>2016-10-31</td>\n",
       "      <td>7863872.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4623</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>2016-12-19 00:00:00</td>\n",
       "      <td>2016-12-19</td>\n",
       "      <td>9754678.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Real-Time-Donations-Jan-25V3</th>\n",
       "      <th>572</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>17500.0</td>\n",
       "      <td>2017-01-11 00:00:00</td>\n",
       "      <td>2017-01-11</td>\n",
       "      <td>10805103.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-31-201</th>\n",
       "      <th>544</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>3700.0</td>\n",
       "      <td>2017-03-28 00:00:00</td>\n",
       "      <td>2017-03-28</td>\n",
       "      <td>13431757.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-April-21</th>\n",
       "      <th>403</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2017-04-14 00:00:00</td>\n",
       "      <td>2017-04-14</td>\n",
       "      <td>14658385.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-5</th>\n",
       "      <th>326</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>29500.0</td>\n",
       "      <td>2017-05-04 00:00:00</td>\n",
       "      <td>2017-05-04</td>\n",
       "      <td>16022469.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-19</th>\n",
       "      <th>147</th>\n",
       "      <td>Encana Corporation Ltd</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2017-05-12 00:00:00</td>\n",
       "      <td>2017-05-12</td>\n",
       "      <td>17318690.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  Donor Name   Amount  \\\n",
       "Copy-of-2016-Contributions-v4   4611  Encana Corporation Ltd   1000.0   \n",
       "                                4612  Encana Corporation Ltd  10000.0   \n",
       "                                4613  Encana Corporation Ltd   1500.0   \n",
       "                                4614  Encana Corporation Ltd   1500.0   \n",
       "                                4616  Encana Corporation Ltd    750.0   \n",
       "                                4617  Encana Corporation Ltd   5000.0   \n",
       "                                4615  Encana Corporation Ltd   8000.0   \n",
       "                                4618  Encana Corporation Ltd   5000.0   \n",
       "                                4619  Encana Corporation Ltd    500.0   \n",
       "                                4620  Encana Corporation Ltd    300.0   \n",
       "                                4621  Encana Corporation Ltd  25000.0   \n",
       "                                4622  Encana Corporation Ltd   5200.0   \n",
       "                                4623  Encana Corporation Ltd   1500.0   \n",
       "Real-Time-Donations-Jan-25V3    572   Encana Corporation Ltd  17500.0   \n",
       "2017-Contributions-March-31-201 544   Encana Corporation Ltd   3700.0   \n",
       "2017-Contributions-April-21     403   Encana Corporation Ltd    250.0   \n",
       "2017-Contributions-May-5        326   Encana Corporation Ltd  29500.0   \n",
       "2017-Contributions-May-19       147   Encana Corporation Ltd   5000.0   \n",
       "\n",
       "                                                     Date   datetime  \\\n",
       "Copy-of-2016-Contributions-v4   4611  2016-02-26 00:00:00 2016-02-26   \n",
       "                                4612  2016-03-24 00:00:00 2016-03-24   \n",
       "                                4613  2016-04-15 00:00:00 2016-04-15   \n",
       "                                4614  2016-04-22 00:00:00 2016-04-22   \n",
       "                                4616  2016-05-20 00:00:00 2016-05-20   \n",
       "                                4617  2016-05-27 00:00:00 2016-05-27   \n",
       "                                4615  2016-06-05 00:00:00 2016-06-05   \n",
       "                                4618  2016-06-24 00:00:00 2016-06-24   \n",
       "                                4619  2016-07-13 00:00:00 2016-07-13   \n",
       "                                4620  2016-07-15 00:00:00 2016-07-15   \n",
       "                                4621  2016-09-22 00:00:00 2016-09-22   \n",
       "                                4622  2016-10-31 00:00:00 2016-10-31   \n",
       "                                4623  2016-12-19 00:00:00 2016-12-19   \n",
       "Real-Time-Donations-Jan-25V3    572   2017-01-11 00:00:00 2017-01-11   \n",
       "2017-Contributions-March-31-201 544   2017-03-28 00:00:00 2017-03-28   \n",
       "2017-Contributions-April-21     403   2017-04-14 00:00:00 2017-04-14   \n",
       "2017-Contributions-May-5        326   2017-05-04 00:00:00 2017-05-04   \n",
       "2017-Contributions-May-19       147   2017-05-12 00:00:00 2017-05-12   \n",
       "\n",
       "                                           cumsum  \n",
       "Copy-of-2016-Contributions-v4   4611   1147310.44  \n",
       "                                4612   2086525.44  \n",
       "                                4613   2816448.44  \n",
       "                                4614   3202678.44  \n",
       "                                4616   4241072.78  \n",
       "                                4617   4363478.11  \n",
       "                                4615   4669701.45  \n",
       "                                4618   5201365.78  \n",
       "                                4619   5605597.88  \n",
       "                                4620   5724372.88  \n",
       "                                4621   6641549.54  \n",
       "                                4622   7863872.96  \n",
       "                                4623   9754678.36  \n",
       "Real-Time-Donations-Jan-25V3    572   10805103.78  \n",
       "2017-Contributions-March-31-201 544   13431757.53  \n",
       "2017-Contributions-April-21     403   14658385.86  \n",
       "2017-Contributions-May-5        326   16022469.49  \n",
       "2017-Contributions-May-19       147   17318690.01  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Encana')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "121200.0"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Encana')['Amount'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>9070</th>\n",
       "      <td>Ledcor Industries Inc.</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>2016-05-08 00:00:00</td>\n",
       "      <td>2016-05-08</td>\n",
       "      <td>3592482.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9069</th>\n",
       "      <td>Ledcor Industries Inc.</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>2016-06-24 00:00:00</td>\n",
       "      <td>2016-06-24</td>\n",
       "      <td>5151360.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9067</th>\n",
       "      <td>Ledcor Industries Inc.</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-08-04 00:00:00</td>\n",
       "      <td>2016-08-04</td>\n",
       "      <td>6003540.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9068</th>\n",
       "      <td>Ledcor Industries Inc.</td>\n",
       "      <td>700.0</td>\n",
       "      <td>2016-10-06 00:00:00</td>\n",
       "      <td>2016-10-06</td>\n",
       "      <td>7105143.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9071</th>\n",
       "      <td>Ledcor Industries Inc.</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>2016-11-21 00:00:00</td>\n",
       "      <td>2016-11-21</td>\n",
       "      <td>8514081.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9072</th>\n",
       "      <td>Ledcor Industries Inc.</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2016-11-28 00:00:00</td>\n",
       "      <td>2016-11-28</td>\n",
       "      <td>8723601.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9073</th>\n",
       "      <td>Ledcor Industries Inc.</td>\n",
       "      <td>5100.0</td>\n",
       "      <td>2016-12-19 00:00:00</td>\n",
       "      <td>2016-12-19</td>\n",
       "      <td>9717643.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Real-Time-Donations-Jan-25V3</th>\n",
       "      <th>595</th>\n",
       "      <td>Ledcor Industries Inc.</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2017-01-11 00:00:00</td>\n",
       "      <td>2017-01-11</td>\n",
       "      <td>10760763.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-31-201</th>\n",
       "      <th>1028</th>\n",
       "      <td>Ledcor Industries Inc.</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2017-03-28 00:00:00</td>\n",
       "      <td>2017-03-28</td>\n",
       "      <td>13513287.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-April-28-201</th>\n",
       "      <th>277</th>\n",
       "      <td>Ledcor Industries Inc.</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2017-04-21 00:00:00</td>\n",
       "      <td>2017-04-21</td>\n",
       "      <td>14971133.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-5</th>\n",
       "      <th>666</th>\n",
       "      <td>Ledcor Industries Inc.</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2017-05-03 00:00:00</td>\n",
       "      <td>2017-05-03</td>\n",
       "      <td>15866549.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-12</th>\n",
       "      <th>332</th>\n",
       "      <td>Ledcor Industries Inc.</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>2017-05-05 00:00:00</td>\n",
       "      <td>2017-05-05</td>\n",
       "      <td>16323461.82</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  Donor Name  Amount  \\\n",
       "Copy-of-2016-Contributions-v4   9070  Ledcor Industries Inc.  9000.0   \n",
       "                                9069  Ledcor Industries Inc.  7500.0   \n",
       "                                9067  Ledcor Industries Inc.  5000.0   \n",
       "                                9068  Ledcor Industries Inc.   700.0   \n",
       "                                9071  Ledcor Industries Inc.  1200.0   \n",
       "                                9072  Ledcor Industries Inc.  2000.0   \n",
       "                                9073  Ledcor Industries Inc.  5100.0   \n",
       "Real-Time-Donations-Jan-25V3    595   Ledcor Industries Inc.  1000.0   \n",
       "2017-Contributions-March-31-201 1028  Ledcor Industries Inc.  1000.0   \n",
       "2017-Contributions-April-28-201 277   Ledcor Industries Inc.  1000.0   \n",
       "2017-Contributions-May-5        666   Ledcor Industries Inc.  5000.0   \n",
       "2017-Contributions-May-12       332   Ledcor Industries Inc.  1300.0   \n",
       "\n",
       "                                                     Date   datetime  \\\n",
       "Copy-of-2016-Contributions-v4   9070  2016-05-08 00:00:00 2016-05-08   \n",
       "                                9069  2016-06-24 00:00:00 2016-06-24   \n",
       "                                9067  2016-08-04 00:00:00 2016-08-04   \n",
       "                                9068  2016-10-06 00:00:00 2016-10-06   \n",
       "                                9071  2016-11-21 00:00:00 2016-11-21   \n",
       "                                9072  2016-11-28 00:00:00 2016-11-28   \n",
       "                                9073  2016-12-19 00:00:00 2016-12-19   \n",
       "Real-Time-Donations-Jan-25V3    595   2017-01-11 00:00:00 2017-01-11   \n",
       "2017-Contributions-March-31-201 1028  2017-03-28 00:00:00 2017-03-28   \n",
       "2017-Contributions-April-28-201 277   2017-04-21 00:00:00 2017-04-21   \n",
       "2017-Contributions-May-5        666   2017-05-03 00:00:00 2017-05-03   \n",
       "2017-Contributions-May-12       332   2017-05-05 00:00:00 2017-05-05   \n",
       "\n",
       "                                           cumsum  \n",
       "Copy-of-2016-Contributions-v4   9070   3592482.44  \n",
       "                                9069   5151360.78  \n",
       "                                9067   6003540.38  \n",
       "                                9068   7105143.35  \n",
       "                                9071   8514081.96  \n",
       "                                9072   8723601.69  \n",
       "                                9073   9717643.36  \n",
       "Real-Time-Donations-Jan-25V3    595   10760763.67  \n",
       "2017-Contributions-March-31-201 1028  13513287.53  \n",
       "2017-Contributions-April-28-201 277   14971133.38  \n",
       "2017-Contributions-May-5        666   15866549.49  \n",
       "2017-Contributions-May-12       332   16323461.82  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Ledcor')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"11\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>11439</th>\n",
       "      <td>Pacific Northwest LNG Ltd.</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>10850.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14016</th>\n",
       "      <td>Steelhead LNG Corp.</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>2016-02-15 00:00:00</td>\n",
       "      <td>2016-02-15</td>\n",
       "      <td>750390.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14017</th>\n",
       "      <td>Steelhead LNG Corp.</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>2016-02-29 00:00:00</td>\n",
       "      <td>2016-02-29</td>\n",
       "      <td>1330105.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11441</th>\n",
       "      <td>Pacific Northwest LNG Ltd.</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2016-02-29 00:00:00</td>\n",
       "      <td>2016-02-29</td>\n",
       "      <td>1415020.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15791</th>\n",
       "      <td>Woodfibre LNG Ltd.</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2016-04-22 00:00:00</td>\n",
       "      <td>2016-04-22</td>\n",
       "      <td>3263228.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15792</th>\n",
       "      <td>Woodfibre LNG Ltd.</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-06-24 00:00:00</td>\n",
       "      <td>2016-06-24</td>\n",
       "      <td>5196240.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14018</th>\n",
       "      <td>Steelhead LNG Corp.</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>2016-06-24 00:00:00</td>\n",
       "      <td>2016-06-24</td>\n",
       "      <td>5254369.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11440</th>\n",
       "      <td>Pacific Northwest LNG Ltd.</td>\n",
       "      <td>1250.0</td>\n",
       "      <td>2016-08-01 00:00:00</td>\n",
       "      <td>2016-08-01</td>\n",
       "      <td>5964181.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15793</th>\n",
       "      <td>Woodfibre LNG Ltd.</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-11-15 00:00:00</td>\n",
       "      <td>2016-11-15</td>\n",
       "      <td>8440181.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11438</th>\n",
       "      <td>Pacific North West LNG</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-12-08 00:00:00</td>\n",
       "      <td>2016-12-08</td>\n",
       "      <td>9328597.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15794</th>\n",
       "      <td>Woodfibre LNG Ltd.</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-12-22 00:00:00</td>\n",
       "      <td>2016-12-22</td>\n",
       "      <td>9898556.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Copy-of-2017-Contributions-Janu</th>\n",
       "      <th>203</th>\n",
       "      <td>Woodfibre LNG Ltd.</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>1/18/2017</td>\n",
       "      <td>2017-01-18</td>\n",
       "      <td>10931198.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-—-February-1</th>\n",
       "      <th>186</th>\n",
       "      <td>Woodfibre LNG Ltd.</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>2017-02-08 00:00:00</td>\n",
       "      <td>2017-02-08</td>\n",
       "      <td>11474535.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-February-17</th>\n",
       "      <th>159</th>\n",
       "      <td>Steelhead LNG</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2017-02-10 00:00:00</td>\n",
       "      <td>2017-02-10</td>\n",
       "      <td>11551075.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-10</th>\n",
       "      <th>159</th>\n",
       "      <td>Steelhead LNG</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2017-02-10 00:00:00</td>\n",
       "      <td>2017-02-10</td>\n",
       "      <td>11614400.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-—-March-17-2</th>\n",
       "      <th>162</th>\n",
       "      <td>Steelhead LNG</td>\n",
       "      <td>2225.0</td>\n",
       "      <td>2017-03-10 00:00:00</td>\n",
       "      <td>2017-03-10</td>\n",
       "      <td>12102489.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-April-7</th>\n",
       "      <th>720</th>\n",
       "      <td>Woodfibre LNG Ltd.</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>2017-04-03 00:00:00</td>\n",
       "      <td>2017-04-03</td>\n",
       "      <td>13877625.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-April-14</th>\n",
       "      <th>740</th>\n",
       "      <td>Woodfibre LNG Ltd.</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2017-04-09 00:00:00</td>\n",
       "      <td>2017-04-09</td>\n",
       "      <td>14431192.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-April-21</th>\n",
       "      <th>1310</th>\n",
       "      <td>Woodfibre LNG Ltd.</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2017-04-14 00:00:00</td>\n",
       "      <td>2017-04-14</td>\n",
       "      <td>14695085.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-April-28-201</th>\n",
       "      <th>507</th>\n",
       "      <td>Woodfibre LNG Ltd.</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2017-04-21 00:00:00</td>\n",
       "      <td>2017-04-21</td>\n",
       "      <td>14921129.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2017-Contributions-May-5</th>\n",
       "      <th>1117</th>\n",
       "      <td>Woodfibre LNG Ltd.</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2017-04-29 00:00:00</td>\n",
       "      <td>2017-04-29</td>\n",
       "      <td>15625016.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1118</th>\n",
       "      <td>Woodfibre LNG Ltd.</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2017-05-03 00:00:00</td>\n",
       "      <td>2017-05-03</td>\n",
       "      <td>15921484.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-19</th>\n",
       "      <th>402</th>\n",
       "      <td>Steelhead LNG</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>2017-05-12 00:00:00</td>\n",
       "      <td>2017-05-12</td>\n",
       "      <td>17818626.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-June-2</th>\n",
       "      <th>419</th>\n",
       "      <td>Pacific Rim LNG Ltd</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2017-05-30 00:00:00</td>\n",
       "      <td>2017-05-30</td>\n",
       "      <td>18451503.09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       Donor Name   Amount  \\\n",
       "Copy-of-2016-Contributions-v4   11439  Pacific Northwest LNG Ltd.    500.0   \n",
       "                                14016         Steelhead LNG Corp.   4000.0   \n",
       "                                14017         Steelhead LNG Corp.   4000.0   \n",
       "                                11441  Pacific Northwest LNG Ltd.   2500.0   \n",
       "                                15791          Woodfibre LNG Ltd.  10000.0   \n",
       "                                15792          Woodfibre LNG Ltd.   1000.0   \n",
       "                                14018         Steelhead LNG Corp.   7500.0   \n",
       "                                11440  Pacific Northwest LNG Ltd.   1250.0   \n",
       "                                15793          Woodfibre LNG Ltd.   5000.0   \n",
       "                                11438      Pacific North West LNG   1000.0   \n",
       "                                15794          Woodfibre LNG Ltd.   5000.0   \n",
       "Copy-of-2017-Contributions-Janu 203            Woodfibre LNG Ltd.   7500.0   \n",
       "2017-Contributions-—-February-1 186            Woodfibre LNG Ltd.   4500.0   \n",
       "2017-Contributions-February-17  159                 Steelhead LNG    300.0   \n",
       "2017-Contributions-March-10     159                 Steelhead LNG    300.0   \n",
       "2017-Contributions-—-March-17-2 162                 Steelhead LNG   2225.0   \n",
       "2017-Contributions-April-7      720            Woodfibre LNG Ltd.   7500.0   \n",
       "2017-Contributions-April-14     740            Woodfibre LNG Ltd.   2500.0   \n",
       "2017-Contributions-April-21     1310           Woodfibre LNG Ltd.  10000.0   \n",
       "2017-Contributions-April-28-201 507            Woodfibre LNG Ltd.   2500.0   \n",
       "2017-Contributions-May-5        1117           Woodfibre LNG Ltd.   2000.0   \n",
       "                                1118           Woodfibre LNG Ltd.  10000.0   \n",
       "2017-Contributions-May-19       402                 Steelhead LNG   4000.0   \n",
       "2017-Contributions-June-2       419           Pacific Rim LNG Ltd    250.0   \n",
       "\n",
       "                                                      Date   datetime  \\\n",
       "Copy-of-2016-Contributions-v4   11439  2016-01-01 00:00:00 2016-01-01   \n",
       "                                14016  2016-02-15 00:00:00 2016-02-15   \n",
       "                                14017  2016-02-29 00:00:00 2016-02-29   \n",
       "                                11441  2016-02-29 00:00:00 2016-02-29   \n",
       "                                15791  2016-04-22 00:00:00 2016-04-22   \n",
       "                                15792  2016-06-24 00:00:00 2016-06-24   \n",
       "                                14018  2016-06-24 00:00:00 2016-06-24   \n",
       "                                11440  2016-08-01 00:00:00 2016-08-01   \n",
       "                                15793  2016-11-15 00:00:00 2016-11-15   \n",
       "                                11438  2016-12-08 00:00:00 2016-12-08   \n",
       "                                15794  2016-12-22 00:00:00 2016-12-22   \n",
       "Copy-of-2017-Contributions-Janu 203              1/18/2017 2017-01-18   \n",
       "2017-Contributions-—-February-1 186    2017-02-08 00:00:00 2017-02-08   \n",
       "2017-Contributions-February-17  159    2017-02-10 00:00:00 2017-02-10   \n",
       "2017-Contributions-March-10     159    2017-02-10 00:00:00 2017-02-10   \n",
       "2017-Contributions-—-March-17-2 162    2017-03-10 00:00:00 2017-03-10   \n",
       "2017-Contributions-April-7      720    2017-04-03 00:00:00 2017-04-03   \n",
       "2017-Contributions-April-14     740    2017-04-09 00:00:00 2017-04-09   \n",
       "2017-Contributions-April-21     1310   2017-04-14 00:00:00 2017-04-14   \n",
       "2017-Contributions-April-28-201 507    2017-04-21 00:00:00 2017-04-21   \n",
       "2017-Contributions-May-5        1117   2017-04-29 00:00:00 2017-04-29   \n",
       "                                1118   2017-05-03 00:00:00 2017-05-03   \n",
       "2017-Contributions-May-19       402    2017-05-12 00:00:00 2017-05-12   \n",
       "2017-Contributions-June-2       419    2017-05-30 00:00:00 2017-05-30   \n",
       "\n",
       "                                            cumsum  \n",
       "Copy-of-2016-Contributions-v4   11439     10850.00  \n",
       "                                14016    750390.44  \n",
       "                                14017   1330105.44  \n",
       "                                11441   1415020.44  \n",
       "                                15791   3263228.44  \n",
       "                                15792   5196240.78  \n",
       "                                14018   5254369.52  \n",
       "                                11440   5964181.38  \n",
       "                                15793   8440181.96  \n",
       "                                11438   9328597.66  \n",
       "                                15794   9898556.36  \n",
       "Copy-of-2017-Contributions-Janu 203    10931198.78  \n",
       "2017-Contributions-—-February-1 186    11474535.63  \n",
       "2017-Contributions-February-17  159    11551075.63  \n",
       "2017-Contributions-March-10     159    11614400.63  \n",
       "2017-Contributions-—-March-17-2 162    12102489.34  \n",
       "2017-Contributions-April-7      720    13877625.86  \n",
       "2017-Contributions-April-14     740    14431192.86  \n",
       "2017-Contributions-April-21     1310   14695085.86  \n",
       "2017-Contributions-April-28-201 507    14921129.38  \n",
       "2017-Contributions-May-5        1117   15625016.49  \n",
       "                                1118   15921484.49  \n",
       "2017-Contributions-May-19       402    17818626.51  \n",
       "2017-Contributions-June-2       419    18451503.09  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('LNG')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"12\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>14507</th>\n",
       "      <td>Telus</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>75850.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14508</th>\n",
       "      <td>Telus</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2016-01-22 00:00:00</td>\n",
       "      <td>2016-01-22</td>\n",
       "      <td>379822.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14509</th>\n",
       "      <td>Telus</td>\n",
       "      <td>450.0</td>\n",
       "      <td>2016-01-31 00:00:00</td>\n",
       "      <td>2016-01-31</td>\n",
       "      <td>627937.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14510</th>\n",
       "      <td>Telus</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>2016-03-02 00:00:00</td>\n",
       "      <td>2016-03-02</td>\n",
       "      <td>1495920.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14511</th>\n",
       "      <td>Telus</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-03-31 00:00:00</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>2238668.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14512</th>\n",
       "      <td>Telus</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2016-04-15 00:00:00</td>\n",
       "      <td>2016-04-15</td>\n",
       "      <td>3116243.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14513</th>\n",
       "      <td>Telus</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>2016-05-31 00:00:00</td>\n",
       "      <td>2016-05-31</td>\n",
       "      <td>4551621.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14514</th>\n",
       "      <td>Telus</td>\n",
       "      <td>4450.0</td>\n",
       "      <td>2016-06-30 00:00:00</td>\n",
       "      <td>2016-06-30</td>\n",
       "      <td>5549187.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14516</th>\n",
       "      <td>Telus</td>\n",
       "      <td>1250.0</td>\n",
       "      <td>2016-10-30 00:00:00</td>\n",
       "      <td>2016-10-30</td>\n",
       "      <td>7386385.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14517</th>\n",
       "      <td>Telus</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2016-10-31 00:00:00</td>\n",
       "      <td>2016-10-31</td>\n",
       "      <td>7855587.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14519</th>\n",
       "      <td>Telus Communications</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2016-11-30 00:00:00</td>\n",
       "      <td>2016-11-30</td>\n",
       "      <td>8849172.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14518</th>\n",
       "      <td>Telus</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>2016-11-30 00:00:00</td>\n",
       "      <td>2016-11-30</td>\n",
       "      <td>8850772.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-—-February-1</th>\n",
       "      <th>171</th>\n",
       "      <td>Telus</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>2017-02-03 00:00:00</td>\n",
       "      <td>2017-02-03</td>\n",
       "      <td>11383729.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-_-February-2</th>\n",
       "      <th>124</th>\n",
       "      <td>Telus</td>\n",
       "      <td>380.0</td>\n",
       "      <td>2017-02-17 00:00:00</td>\n",
       "      <td>2017-02-17</td>\n",
       "      <td>11700150.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-3-2017</th>\n",
       "      <th>1231</th>\n",
       "      <td>Telus</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2017-02-24 00:00:00</td>\n",
       "      <td>2017-02-24</td>\n",
       "      <td>11920854.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-April-14</th>\n",
       "      <th>688</th>\n",
       "      <td>Telus</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2017-04-07 00:00:00</td>\n",
       "      <td>2017-04-07</td>\n",
       "      <td>14101890.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-April-21</th>\n",
       "      <th>1211</th>\n",
       "      <td>Telus</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2017-04-14 00:00:00</td>\n",
       "      <td>2017-04-14</td>\n",
       "      <td>14576488.86</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 Donor Name  Amount  \\\n",
       "Copy-of-2016-Contributions-v4   14507                 Telus   250.0   \n",
       "                                14508                 Telus  2500.0   \n",
       "                                14509                 Telus   450.0   \n",
       "                                14510                 Telus  7500.0   \n",
       "                                14511                 Telus  5000.0   \n",
       "                                14512                 Telus   300.0   \n",
       "                                14513                 Telus  1300.0   \n",
       "                                14514                 Telus  4450.0   \n",
       "                                14516                 Telus  1250.0   \n",
       "                                14517                 Telus   500.0   \n",
       "                                14519  Telus Communications  2000.0   \n",
       "                                14518                 Telus  1500.0   \n",
       "2017-Contributions-—-February-1 171                   Telus  1200.0   \n",
       "2017-Contributions-_-February-2 124                   Telus   380.0   \n",
       "2017-Contributions-March-3-2017 1231                  Telus  5000.0   \n",
       "2017-Contributions-April-14     688                   Telus  2000.0   \n",
       "2017-Contributions-April-21     1211                  Telus  5000.0   \n",
       "\n",
       "                                                      Date   datetime  \\\n",
       "Copy-of-2016-Contributions-v4   14507  2016-01-01 00:00:00 2016-01-01   \n",
       "                                14508  2016-01-22 00:00:00 2016-01-22   \n",
       "                                14509  2016-01-31 00:00:00 2016-01-31   \n",
       "                                14510  2016-03-02 00:00:00 2016-03-02   \n",
       "                                14511  2016-03-31 00:00:00 2016-03-31   \n",
       "                                14512  2016-04-15 00:00:00 2016-04-15   \n",
       "                                14513  2016-05-31 00:00:00 2016-05-31   \n",
       "                                14514  2016-06-30 00:00:00 2016-06-30   \n",
       "                                14516  2016-10-30 00:00:00 2016-10-30   \n",
       "                                14517  2016-10-31 00:00:00 2016-10-31   \n",
       "                                14519  2016-11-30 00:00:00 2016-11-30   \n",
       "                                14518  2016-11-30 00:00:00 2016-11-30   \n",
       "2017-Contributions-—-February-1 171    2017-02-03 00:00:00 2017-02-03   \n",
       "2017-Contributions-_-February-2 124    2017-02-17 00:00:00 2017-02-17   \n",
       "2017-Contributions-March-3-2017 1231   2017-02-24 00:00:00 2017-02-24   \n",
       "2017-Contributions-April-14     688    2017-04-07 00:00:00 2017-04-07   \n",
       "2017-Contributions-April-21     1211   2017-04-14 00:00:00 2017-04-14   \n",
       "\n",
       "                                            cumsum  \n",
       "Copy-of-2016-Contributions-v4   14507     75850.00  \n",
       "                                14508    379822.79  \n",
       "                                14509    627937.09  \n",
       "                                14510   1495920.44  \n",
       "                                14511   2238668.44  \n",
       "                                14512   3116243.44  \n",
       "                                14513   4551621.45  \n",
       "                                14514   5549187.88  \n",
       "                                14516   7386385.60  \n",
       "                                14517   7855587.96  \n",
       "                                14519   8849172.69  \n",
       "                                14518   8850772.69  \n",
       "2017-Contributions-—-February-1 171    11383729.63  \n",
       "2017-Contributions-_-February-2 124    11700150.63  \n",
       "2017-Contributions-March-3-2017 1231   11920854.34  \n",
       "2017-Contributions-April-14     688    14101890.86  \n",
       "2017-Contributions-April-21     1211   14576488.86  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Telus')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"13\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>980</th>\n",
       "      <td>Bank of Montreal</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2016-01-31 00:00:00</td>\n",
       "      <td>2016-01-31</td>\n",
       "      <td>547793.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6448</th>\n",
       "      <td>HSBC Bank Canada</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-03-02 00:00:00</td>\n",
       "      <td>2016-03-02</td>\n",
       "      <td>1448195.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14858</th>\n",
       "      <td>Toronto Dominion Bank</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-03-24 00:00:00</td>\n",
       "      <td>2016-03-24</td>\n",
       "      <td>2068255.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6449</th>\n",
       "      <td>HSBC Bank Canada</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2016-04-03 00:00:00</td>\n",
       "      <td>2016-04-03</td>\n",
       "      <td>2579401.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14639</th>\n",
       "      <td>The Toronto-Dominion Bank</td>\n",
       "      <td>350.0</td>\n",
       "      <td>2016-04-22 00:00:00</td>\n",
       "      <td>2016-04-22</td>\n",
       "      <td>3291665.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>Bank of Montreal</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2016-04-30 00:00:00</td>\n",
       "      <td>2016-04-30</td>\n",
       "      <td>3449089.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15353</th>\n",
       "      <td>Wayne Banks</td>\n",
       "      <td>150.0</td>\n",
       "      <td>2016-05-08 00:00:00</td>\n",
       "      <td>2016-05-08</td>\n",
       "      <td>3596632.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8454</th>\n",
       "      <td>KEB Hana Bank Canada</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2016-05-20 00:00:00</td>\n",
       "      <td>2016-05-20</td>\n",
       "      <td>4252072.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13263</th>\n",
       "      <td>Royal Bank of Canada</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-05-27 00:00:00</td>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>4340733.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14859</th>\n",
       "      <td>Toronto Dominion Bank</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>2016-09-13 00:00:00</td>\n",
       "      <td>2016-09-13</td>\n",
       "      <td>6457109.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1049</th>\n",
       "      <td>Bard &amp; Banker Pub Company Ltd</td>\n",
       "      <td>12500.0</td>\n",
       "      <td>2016-10-21 00:00:00</td>\n",
       "      <td>2016-10-21</td>\n",
       "      <td>7287393.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14640</th>\n",
       "      <td>The Toronto-Dominion Bank</td>\n",
       "      <td>360.0</td>\n",
       "      <td>2016-11-10 00:00:00</td>\n",
       "      <td>2016-11-10</td>\n",
       "      <td>8109975.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7033</th>\n",
       "      <td>James W. Banks</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2016-12-31 00:00:00</td>\n",
       "      <td>2016-12-31</td>\n",
       "      <td>10278986.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Real-Time-Donations-Jan-25V3</th>\n",
       "      <th>469</th>\n",
       "      <td>The Toronto-Dominion Bank</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2017-01-04 00:00:00</td>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>10678908.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>Royal Bank of Canada</td>\n",
       "      <td>25.0</td>\n",
       "      <td>2017-01-04 00:00:00</td>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>10635003.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Copy-of-2017-Contributions-Janu</th>\n",
       "      <th>189</th>\n",
       "      <td>Toronto-Dominion Bank</td>\n",
       "      <td>400.0</td>\n",
       "      <td>1/18/2017</td>\n",
       "      <td>2017-01-18</td>\n",
       "      <td>10933283.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-—-February-3</th>\n",
       "      <th>490</th>\n",
       "      <td>TD Bank Group</td>\n",
       "      <td>450.0</td>\n",
       "      <td>2017-01-27 00:00:00</td>\n",
       "      <td>2017-01-27</td>\n",
       "      <td>11179878.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2017-Contributions-March-31-201</th>\n",
       "      <th>1667</th>\n",
       "      <td>The Toronto-Dominion Bank</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2017-03-25 00:00:00</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>13005168.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1644</th>\n",
       "      <td>The Toronto-Dominion Bank</td>\n",
       "      <td>750.0</td>\n",
       "      <td>2017-03-25 00:00:00</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>12793189.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>736</th>\n",
       "      <td>HSBC Bank Canada</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2017-03-25 00:00:00</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>13257895.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-April-14</th>\n",
       "      <th>59</th>\n",
       "      <td>Bard &amp; Banker Pub Company Ltd</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2017-04-09 00:00:00</td>\n",
       "      <td>2017-04-09</td>\n",
       "      <td>14223712.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-5</th>\n",
       "      <th>1015</th>\n",
       "      <td>TD Bank Financial Group</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2017-05-03 00:00:00</td>\n",
       "      <td>2017-05-03</td>\n",
       "      <td>15911034.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-19</th>\n",
       "      <th>414</th>\n",
       "      <td>The Toronto-Dominion Bank</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>2017-05-12 00:00:00</td>\n",
       "      <td>2017-05-12</td>\n",
       "      <td>17854346.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                          Donor Name   Amount  \\\n",
       "Copy-of-2016-Contributions-v4   980                 Bank of Montreal    250.0   \n",
       "                                6448                HSBC Bank Canada   5000.0   \n",
       "                                14858          Toronto Dominion Bank   5000.0   \n",
       "                                6449                HSBC Bank Canada     50.0   \n",
       "                                14639      The Toronto-Dominion Bank    350.0   \n",
       "                                981                 Bank of Montreal     20.0   \n",
       "                                15353                    Wayne Banks    150.0   \n",
       "                                8454            KEB Hana Bank Canada    300.0   \n",
       "                                13263           Royal Bank of Canada   1000.0   \n",
       "                                14859          Toronto Dominion Bank  20000.0   \n",
       "                                1049   Bard & Banker Pub Company Ltd  12500.0   \n",
       "                                14640      The Toronto-Dominion Bank    360.0   \n",
       "                                7033                  James W. Banks    100.0   \n",
       "Real-Time-Donations-Jan-25V3    469        The Toronto-Dominion Bank     50.0   \n",
       "                                440             Royal Bank of Canada     25.0   \n",
       "Copy-of-2017-Contributions-Janu 189            Toronto-Dominion Bank    400.0   \n",
       "2017-Contributions-—-February-3 490                    TD Bank Group    450.0   \n",
       "2017-Contributions-March-31-201 1667       The Toronto-Dominion Bank    100.0   \n",
       "                                1644       The Toronto-Dominion Bank    750.0   \n",
       "                                736                 HSBC Bank Canada     50.0   \n",
       "2017-Contributions-April-14     59     Bard & Banker Pub Company Ltd    500.0   \n",
       "2017-Contributions-May-5        1015         TD Bank Financial Group   5000.0   \n",
       "2017-Contributions-May-19       414        The Toronto-Dominion Bank  15000.0   \n",
       "\n",
       "                                                      Date   datetime  \\\n",
       "Copy-of-2016-Contributions-v4   980    2016-01-31 00:00:00 2016-01-31   \n",
       "                                6448   2016-03-02 00:00:00 2016-03-02   \n",
       "                                14858  2016-03-24 00:00:00 2016-03-24   \n",
       "                                6449   2016-04-03 00:00:00 2016-04-03   \n",
       "                                14639  2016-04-22 00:00:00 2016-04-22   \n",
       "                                981    2016-04-30 00:00:00 2016-04-30   \n",
       "                                15353  2016-05-08 00:00:00 2016-05-08   \n",
       "                                8454   2016-05-20 00:00:00 2016-05-20   \n",
       "                                13263  2016-05-27 00:00:00 2016-05-27   \n",
       "                                14859  2016-09-13 00:00:00 2016-09-13   \n",
       "                                1049   2016-10-21 00:00:00 2016-10-21   \n",
       "                                14640  2016-11-10 00:00:00 2016-11-10   \n",
       "                                7033   2016-12-31 00:00:00 2016-12-31   \n",
       "Real-Time-Donations-Jan-25V3    469    2017-01-04 00:00:00 2017-01-04   \n",
       "                                440    2017-01-04 00:00:00 2017-01-04   \n",
       "Copy-of-2017-Contributions-Janu 189              1/18/2017 2017-01-18   \n",
       "2017-Contributions-—-February-3 490    2017-01-27 00:00:00 2017-01-27   \n",
       "2017-Contributions-March-31-201 1667   2017-03-25 00:00:00 2017-03-25   \n",
       "                                1644   2017-03-25 00:00:00 2017-03-25   \n",
       "                                736    2017-03-25 00:00:00 2017-03-25   \n",
       "2017-Contributions-April-14     59     2017-04-09 00:00:00 2017-04-09   \n",
       "2017-Contributions-May-5        1015   2017-05-03 00:00:00 2017-05-03   \n",
       "2017-Contributions-May-19       414    2017-05-12 00:00:00 2017-05-12   \n",
       "\n",
       "                                            cumsum  \n",
       "Copy-of-2016-Contributions-v4   980      547793.09  \n",
       "                                6448    1448195.44  \n",
       "                                14858   2068255.44  \n",
       "                                6449    2579401.44  \n",
       "                                14639   3291665.44  \n",
       "                                981     3449089.44  \n",
       "                                15353   3596632.44  \n",
       "                                8454    4252072.78  \n",
       "                                13263   4340733.11  \n",
       "                                14859   6457109.55  \n",
       "                                1049    7287393.35  \n",
       "                                14640   8109975.96  \n",
       "                                7033   10278986.32  \n",
       "Real-Time-Donations-Jan-25V3    469    10678908.67  \n",
       "                                440    10635003.67  \n",
       "Copy-of-2017-Contributions-Janu 189    10933283.78  \n",
       "2017-Contributions-—-February-3 490    11179878.63  \n",
       "2017-Contributions-March-31-201 1667   13005168.86  \n",
       "                                1644   12793189.39  \n",
       "                                736    13257895.53  \n",
       "2017-Contributions-April-14     59     14223712.86  \n",
       "2017-Contributions-May-5        1015   15911034.49  \n",
       "2017-Contributions-May-19       414    17854346.51  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Bank')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"40\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>5270</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>3500.00</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>44550.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5272</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>1575.00</td>\n",
       "      <td>2016-01-15 00:00:00</td>\n",
       "      <td>2016-01-15</td>\n",
       "      <td>266045.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5273</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>2000.00</td>\n",
       "      <td>2016-01-22 00:00:00</td>\n",
       "      <td>2016-01-22</td>\n",
       "      <td>395097.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12657</th>\n",
       "      <td>River Rock Casino Resort</td>\n",
       "      <td>500.00</td>\n",
       "      <td>2016-01-25 00:00:00</td>\n",
       "      <td>2016-01-25</td>\n",
       "      <td>430684.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5274</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>200.00</td>\n",
       "      <td>2016-01-29 00:00:00</td>\n",
       "      <td>2016-01-29</td>\n",
       "      <td>455258.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5276</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>2200.00</td>\n",
       "      <td>2016-02-26 00:00:00</td>\n",
       "      <td>2016-02-26</td>\n",
       "      <td>1099230.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5288</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>750.00</td>\n",
       "      <td>2016-03-06 00:00:00</td>\n",
       "      <td>2016-03-06</td>\n",
       "      <td>1598617.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5300</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>10300.00</td>\n",
       "      <td>2016-03-11 00:00:00</td>\n",
       "      <td>2016-03-11</td>\n",
       "      <td>1871084.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4449</th>\n",
       "      <td>Elements Casino</td>\n",
       "      <td>1775.00</td>\n",
       "      <td>2016-03-18 00:00:00</td>\n",
       "      <td>2016-03-18</td>\n",
       "      <td>1964010.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5278</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>460.00</td>\n",
       "      <td>2016-03-18 00:00:00</td>\n",
       "      <td>2016-03-18</td>\n",
       "      <td>2015285.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5279</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>50.00</td>\n",
       "      <td>2016-03-31 00:00:00</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>2332648.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5292</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>520.00</td>\n",
       "      <td>2016-04-07 00:00:00</td>\n",
       "      <td>2016-04-07</td>\n",
       "      <td>2774038.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5281</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>7000.00</td>\n",
       "      <td>2016-04-15 00:00:00</td>\n",
       "      <td>2016-04-15</td>\n",
       "      <td>2977653.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2179</th>\n",
       "      <td>Cascades Casino Ltd</td>\n",
       "      <td>500.00</td>\n",
       "      <td>2016-04-22 00:00:00</td>\n",
       "      <td>2016-04-22</td>\n",
       "      <td>3171278.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5282</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>25.00</td>\n",
       "      <td>2016-04-28 00:00:00</td>\n",
       "      <td>2016-04-28</td>\n",
       "      <td>3341275.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5283</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>728.00</td>\n",
       "      <td>2016-04-30 00:00:00</td>\n",
       "      <td>2016-04-30</td>\n",
       "      <td>3491337.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13982</th>\n",
       "      <td>St. Eugene Golf Resort &amp; Casino</td>\n",
       "      <td>1500.00</td>\n",
       "      <td>2016-05-13 00:00:00</td>\n",
       "      <td>2016-05-13</td>\n",
       "      <td>4084787.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5285</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>17080.00</td>\n",
       "      <td>2016-05-13 00:00:00</td>\n",
       "      <td>2016-05-13</td>\n",
       "      <td>3790625.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5286</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>760.00</td>\n",
       "      <td>2016-05-27 00:00:00</td>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>4297732.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5287</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>80.00</td>\n",
       "      <td>2016-05-31 00:00:00</td>\n",
       "      <td>2016-05-31</td>\n",
       "      <td>4548281.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13983</th>\n",
       "      <td>St. Eugene Golf Resort &amp; Casino</td>\n",
       "      <td>400.00</td>\n",
       "      <td>2016-05-31 00:00:00</td>\n",
       "      <td>2016-05-31</td>\n",
       "      <td>4454708.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5284</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>4000.00</td>\n",
       "      <td>2016-06-05 00:00:00</td>\n",
       "      <td>2016-06-05</td>\n",
       "      <td>4728652.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5289</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>4000.00</td>\n",
       "      <td>2016-06-17 00:00:00</td>\n",
       "      <td>2016-06-17</td>\n",
       "      <td>5090575.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5290</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>1823.74</td>\n",
       "      <td>2016-06-24 00:00:00</td>\n",
       "      <td>2016-06-24</td>\n",
       "      <td>5236344.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13984</th>\n",
       "      <td>St. Eugene Golf Resort &amp; Casino</td>\n",
       "      <td>50.00</td>\n",
       "      <td>2016-06-30 00:00:00</td>\n",
       "      <td>2016-06-30</td>\n",
       "      <td>5432487.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5291</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>150.00</td>\n",
       "      <td>2016-06-30 00:00:00</td>\n",
       "      <td>2016-06-30</td>\n",
       "      <td>5365654.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5293</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>3000.00</td>\n",
       "      <td>2016-07-13 00:00:00</td>\n",
       "      <td>2016-07-13</td>\n",
       "      <td>5616517.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5294</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>3000.00</td>\n",
       "      <td>2016-07-19 00:00:00</td>\n",
       "      <td>2016-07-19</td>\n",
       "      <td>5734497.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5271</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>475.00</td>\n",
       "      <td>2016-08-01 00:00:00</td>\n",
       "      <td>2016-08-01</td>\n",
       "      <td>5962931.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5280</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>2000.00</td>\n",
       "      <td>2016-08-04 00:00:00</td>\n",
       "      <td>2016-08-04</td>\n",
       "      <td>6030365.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5295</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>520.00</td>\n",
       "      <td>2016-09-16 00:00:00</td>\n",
       "      <td>2016-09-16</td>\n",
       "      <td>6502268.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5296</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>1000.00</td>\n",
       "      <td>2016-09-26 00:00:00</td>\n",
       "      <td>2016-09-26</td>\n",
       "      <td>6689289.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5297</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>1050.00</td>\n",
       "      <td>2016-09-30 00:00:00</td>\n",
       "      <td>2016-09-30</td>\n",
       "      <td>6778523.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5298</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>600.00</td>\n",
       "      <td>2016-10-21 00:00:00</td>\n",
       "      <td>2016-10-21</td>\n",
       "      <td>7222158.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5299</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>5892.00</td>\n",
       "      <td>2016-10-31 00:00:00</td>\n",
       "      <td>2016-10-31</td>\n",
       "      <td>7723590.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5277</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>1200.00</td>\n",
       "      <td>2016-11-03 00:00:00</td>\n",
       "      <td>2016-11-03</td>\n",
       "      <td>8044460.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5301</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>500.00</td>\n",
       "      <td>2016-11-21 00:00:00</td>\n",
       "      <td>2016-11-21</td>\n",
       "      <td>8527731.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5275</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>7500.00</td>\n",
       "      <td>2016-12-02 00:00:00</td>\n",
       "      <td>2016-12-02</td>\n",
       "      <td>9250927.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5302</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>500.00</td>\n",
       "      <td>2016-12-12 00:00:00</td>\n",
       "      <td>2016-12-12</td>\n",
       "      <td>9488007.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5303</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>200.00</td>\n",
       "      <td>2016-12-22 00:00:00</td>\n",
       "      <td>2016-12-22</td>\n",
       "      <td>9853261.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Copy-of-2017-Contributions-Janu</th>\n",
       "      <th>64</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>1500.00</td>\n",
       "      <td>1/18/2017</td>\n",
       "      <td>2017-01-18</td>\n",
       "      <td>10991938.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Sheet2</th>\n",
       "      <th>357</th>\n",
       "      <td>Gateway Casinos</td>\n",
       "      <td>44.00</td>\n",
       "      <td>1/20/2017</td>\n",
       "      <td>2017-01-20</td>\n",
       "      <td>11070178.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>2500.00</td>\n",
       "      <td>1/25/2017</td>\n",
       "      <td>2017-01-25</td>\n",
       "      <td>11132928.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-—-February-3</th>\n",
       "      <th>176</th>\n",
       "      <td>Gateway Casinos</td>\n",
       "      <td>5045.00</td>\n",
       "      <td>2017-02-01 00:00:00</td>\n",
       "      <td>2017-02-01</td>\n",
       "      <td>11273795.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-_-February-2</th>\n",
       "      <th>35</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>1400.00</td>\n",
       "      <td>2017-02-22 00:00:00</td>\n",
       "      <td>2017-02-22</td>\n",
       "      <td>11736840.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2017-Contributions-March-31-201</th>\n",
       "      <th>613</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>4000.00</td>\n",
       "      <td>2017-03-25 00:00:00</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>12738199.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>614</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>8800.00</td>\n",
       "      <td>2017-03-28 00:00:00</td>\n",
       "      <td>2017-03-28</td>\n",
       "      <td>13391502.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-April-21</th>\n",
       "      <th>455</th>\n",
       "      <td>Gateway Casinos and Entertainment Limited</td>\n",
       "      <td>2900.00</td>\n",
       "      <td>2017-04-14 00:00:00</td>\n",
       "      <td>2017-04-14</td>\n",
       "      <td>14677850.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-April-28-201</th>\n",
       "      <th>53</th>\n",
       "      <td>Billy Barker Casino</td>\n",
       "      <td>500.00</td>\n",
       "      <td>2017-04-21 00:00:00</td>\n",
       "      <td>2017-04-21</td>\n",
       "      <td>15072170.38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                      Donor Name  \\\n",
       "Copy-of-2016-Contributions-v4   5270   Gateway Casinos and Entertainment Limited   \n",
       "                                5272   Gateway Casinos and Entertainment Limited   \n",
       "                                5273   Gateway Casinos and Entertainment Limited   \n",
       "                                12657                   River Rock Casino Resort   \n",
       "                                5274   Gateway Casinos and Entertainment Limited   \n",
       "                                5276   Gateway Casinos and Entertainment Limited   \n",
       "                                5288   Gateway Casinos and Entertainment Limited   \n",
       "                                5300   Gateway Casinos and Entertainment Limited   \n",
       "                                4449                             Elements Casino   \n",
       "                                5278   Gateway Casinos and Entertainment Limited   \n",
       "                                5279   Gateway Casinos and Entertainment Limited   \n",
       "                                5292   Gateway Casinos and Entertainment Limited   \n",
       "                                5281   Gateway Casinos and Entertainment Limited   \n",
       "                                2179                         Cascades Casino Ltd   \n",
       "                                5282   Gateway Casinos and Entertainment Limited   \n",
       "                                5283   Gateway Casinos and Entertainment Limited   \n",
       "                                13982            St. Eugene Golf Resort & Casino   \n",
       "                                5285   Gateway Casinos and Entertainment Limited   \n",
       "                                5286   Gateway Casinos and Entertainment Limited   \n",
       "                                5287   Gateway Casinos and Entertainment Limited   \n",
       "                                13983            St. Eugene Golf Resort & Casino   \n",
       "                                5284   Gateway Casinos and Entertainment Limited   \n",
       "                                5289   Gateway Casinos and Entertainment Limited   \n",
       "                                5290   Gateway Casinos and Entertainment Limited   \n",
       "                                13984            St. Eugene Golf Resort & Casino   \n",
       "                                5291   Gateway Casinos and Entertainment Limited   \n",
       "                                5293   Gateway Casinos and Entertainment Limited   \n",
       "                                5294   Gateway Casinos and Entertainment Limited   \n",
       "                                5271   Gateway Casinos and Entertainment Limited   \n",
       "                                5280   Gateway Casinos and Entertainment Limited   \n",
       "                                5295   Gateway Casinos and Entertainment Limited   \n",
       "                                5296   Gateway Casinos and Entertainment Limited   \n",
       "                                5297   Gateway Casinos and Entertainment Limited   \n",
       "                                5298   Gateway Casinos and Entertainment Limited   \n",
       "                                5299   Gateway Casinos and Entertainment Limited   \n",
       "                                5277   Gateway Casinos and Entertainment Limited   \n",
       "                                5301   Gateway Casinos and Entertainment Limited   \n",
       "                                5275   Gateway Casinos and Entertainment Limited   \n",
       "                                5302   Gateway Casinos and Entertainment Limited   \n",
       "                                5303   Gateway Casinos and Entertainment Limited   \n",
       "Copy-of-2017-Contributions-Janu 64     Gateway Casinos and Entertainment Limited   \n",
       "Sheet2                          357                              Gateway Casinos   \n",
       "                                358    Gateway Casinos and Entertainment Limited   \n",
       "2017-Contributions-—-February-3 176                              Gateway Casinos   \n",
       "2017-Contributions-_-February-2 35     Gateway Casinos and Entertainment Limited   \n",
       "2017-Contributions-March-31-201 613    Gateway Casinos and Entertainment Limited   \n",
       "                                614    Gateway Casinos and Entertainment Limited   \n",
       "2017-Contributions-April-21     455    Gateway Casinos and Entertainment Limited   \n",
       "2017-Contributions-April-28-201 53                           Billy Barker Casino   \n",
       "\n",
       "                                         Amount                 Date  \\\n",
       "Copy-of-2016-Contributions-v4   5270    3500.00  2016-01-01 00:00:00   \n",
       "                                5272    1575.00  2016-01-15 00:00:00   \n",
       "                                5273    2000.00  2016-01-22 00:00:00   \n",
       "                                12657    500.00  2016-01-25 00:00:00   \n",
       "                                5274     200.00  2016-01-29 00:00:00   \n",
       "                                5276    2200.00  2016-02-26 00:00:00   \n",
       "                                5288     750.00  2016-03-06 00:00:00   \n",
       "                                5300   10300.00  2016-03-11 00:00:00   \n",
       "                                4449    1775.00  2016-03-18 00:00:00   \n",
       "                                5278     460.00  2016-03-18 00:00:00   \n",
       "                                5279      50.00  2016-03-31 00:00:00   \n",
       "                                5292     520.00  2016-04-07 00:00:00   \n",
       "                                5281    7000.00  2016-04-15 00:00:00   \n",
       "                                2179     500.00  2016-04-22 00:00:00   \n",
       "                                5282      25.00  2016-04-28 00:00:00   \n",
       "                                5283     728.00  2016-04-30 00:00:00   \n",
       "                                13982   1500.00  2016-05-13 00:00:00   \n",
       "                                5285   17080.00  2016-05-13 00:00:00   \n",
       "                                5286     760.00  2016-05-27 00:00:00   \n",
       "                                5287      80.00  2016-05-31 00:00:00   \n",
       "                                13983    400.00  2016-05-31 00:00:00   \n",
       "                                5284    4000.00  2016-06-05 00:00:00   \n",
       "                                5289    4000.00  2016-06-17 00:00:00   \n",
       "                                5290    1823.74  2016-06-24 00:00:00   \n",
       "                                13984     50.00  2016-06-30 00:00:00   \n",
       "                                5291     150.00  2016-06-30 00:00:00   \n",
       "                                5293    3000.00  2016-07-13 00:00:00   \n",
       "                                5294    3000.00  2016-07-19 00:00:00   \n",
       "                                5271     475.00  2016-08-01 00:00:00   \n",
       "                                5280    2000.00  2016-08-04 00:00:00   \n",
       "                                5295     520.00  2016-09-16 00:00:00   \n",
       "                                5296    1000.00  2016-09-26 00:00:00   \n",
       "                                5297    1050.00  2016-09-30 00:00:00   \n",
       "                                5298     600.00  2016-10-21 00:00:00   \n",
       "                                5299    5892.00  2016-10-31 00:00:00   \n",
       "                                5277    1200.00  2016-11-03 00:00:00   \n",
       "                                5301     500.00  2016-11-21 00:00:00   \n",
       "                                5275    7500.00  2016-12-02 00:00:00   \n",
       "                                5302     500.00  2016-12-12 00:00:00   \n",
       "                                5303     200.00  2016-12-22 00:00:00   \n",
       "Copy-of-2017-Contributions-Janu 64      1500.00            1/18/2017   \n",
       "Sheet2                          357       44.00            1/20/2017   \n",
       "                                358     2500.00            1/25/2017   \n",
       "2017-Contributions-—-February-3 176     5045.00  2017-02-01 00:00:00   \n",
       "2017-Contributions-_-February-2 35      1400.00  2017-02-22 00:00:00   \n",
       "2017-Contributions-March-31-201 613     4000.00  2017-03-25 00:00:00   \n",
       "                                614     8800.00  2017-03-28 00:00:00   \n",
       "2017-Contributions-April-21     455     2900.00  2017-04-14 00:00:00   \n",
       "2017-Contributions-April-28-201 53       500.00  2017-04-21 00:00:00   \n",
       "\n",
       "                                        datetime       cumsum  \n",
       "Copy-of-2016-Contributions-v4   5270  2016-01-01     44550.00  \n",
       "                                5272  2016-01-15    266045.00  \n",
       "                                5273  2016-01-22    395097.79  \n",
       "                                12657 2016-01-25    430684.09  \n",
       "                                5274  2016-01-29    455258.09  \n",
       "                                5276  2016-02-26   1099230.44  \n",
       "                                5288  2016-03-06   1598617.44  \n",
       "                                5300  2016-03-11   1871084.44  \n",
       "                                4449  2016-03-18   1964010.44  \n",
       "                                5278  2016-03-18   2015285.44  \n",
       "                                5279  2016-03-31   2332648.44  \n",
       "                                5292  2016-04-07   2774038.44  \n",
       "                                5281  2016-04-15   2977653.44  \n",
       "                                2179  2016-04-22   3171278.44  \n",
       "                                5282  2016-04-28   3341275.44  \n",
       "                                5283  2016-04-30   3491337.44  \n",
       "                                13982 2016-05-13   4084787.78  \n",
       "                                5285  2016-05-13   3790625.44  \n",
       "                                5286  2016-05-27   4297732.78  \n",
       "                                5287  2016-05-31   4548281.45  \n",
       "                                13983 2016-05-31   4454708.11  \n",
       "                                5284  2016-06-05   4728652.45  \n",
       "                                5289  2016-06-17   5090575.78  \n",
       "                                5290  2016-06-24   5236344.52  \n",
       "                                13984 2016-06-30   5432487.88  \n",
       "                                5291  2016-06-30   5365654.52  \n",
       "                                5293  2016-07-13   5616517.88  \n",
       "                                5294  2016-07-19   5734497.88  \n",
       "                                5271  2016-08-01   5962931.38  \n",
       "                                5280  2016-08-04   6030365.38  \n",
       "                                5295  2016-09-16   6502268.55  \n",
       "                                5296  2016-09-26   6689289.85  \n",
       "                                5297  2016-09-30   6778523.10  \n",
       "                                5298  2016-10-21   7222158.35  \n",
       "                                5299  2016-10-31   7723590.60  \n",
       "                                5277  2016-11-03   8044460.96  \n",
       "                                5301  2016-11-21   8527731.96  \n",
       "                                5275  2016-12-02   9250927.66  \n",
       "                                5302  2016-12-12   9488007.66  \n",
       "                                5303  2016-12-22   9853261.36  \n",
       "Copy-of-2017-Contributions-Janu 64    2017-01-18  10991938.78  \n",
       "Sheet2                          357   2017-01-20  11070178.63  \n",
       "                                358   2017-01-25  11132928.63  \n",
       "2017-Contributions-—-February-3 176   2017-02-01  11273795.63  \n",
       "2017-Contributions-_-February-2 35    2017-02-22  11736840.63  \n",
       "2017-Contributions-March-31-201 613   2017-03-25  12738199.39  \n",
       "                                614   2017-03-28  13391502.53  \n",
       "2017-Contributions-April-21     455   2017-04-14  14677850.86  \n",
       "2017-Contributions-April-28-201 53    2017-04-21  15072170.38  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Casino')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "116052.73999999999"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Casino')['Amount'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>4732</th>\n",
       "      <td>Ernst &amp; Young LLP</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>121225.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4733</th>\n",
       "      <td>Ernst &amp; Young LLP</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2016-03-31 00:00:00</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>2390868.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1769</th>\n",
       "      <td>Bruce Ernst Pydee</td>\n",
       "      <td>200.0</td>\n",
       "      <td>2016-07-31 00:00:00</td>\n",
       "      <td>2016-07-31</td>\n",
       "      <td>5925572.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4730</th>\n",
       "      <td>Ernst &amp; Young</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>2016-07-31 00:00:00</td>\n",
       "      <td>2016-07-31</td>\n",
       "      <td>5919218.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4731</th>\n",
       "      <td>Ernst &amp; Young</td>\n",
       "      <td>200.0</td>\n",
       "      <td>2016-09-29 00:00:00</td>\n",
       "      <td>2016-09-29</td>\n",
       "      <td>6727990.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8355</th>\n",
       "      <td>Karl Ernst</td>\n",
       "      <td>35.0</td>\n",
       "      <td>2016-10-31 00:00:00</td>\n",
       "      <td>2016-10-31</td>\n",
       "      <td>7704379.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4734</th>\n",
       "      <td>Ernst &amp; Young LLP</td>\n",
       "      <td>3500.0</td>\n",
       "      <td>2016-12-12 00:00:00</td>\n",
       "      <td>2016-12-12</td>\n",
       "      <td>9465647.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4735</th>\n",
       "      <td>Ernst &amp; Young LLP</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>2016-12-19 00:00:00</td>\n",
       "      <td>2016-12-19</td>\n",
       "      <td>9821501.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Real-Time-Donations-Jan-25V3</th>\n",
       "      <th>290</th>\n",
       "      <td>Karl Ernst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>2017-01-04 00:00:00</td>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>10476198.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-—-February-3</th>\n",
       "      <th>160</th>\n",
       "      <td>Ernst &amp; Young LLP</td>\n",
       "      <td>3500.0</td>\n",
       "      <td>2017-02-01 00:00:00</td>\n",
       "      <td>2017-02-01</td>\n",
       "      <td>11255375.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Donor Name   Amount  \\\n",
       "Copy-of-2016-Contributions-v4   4732  Ernst & Young LLP    250.0   \n",
       "                                4733  Ernst & Young LLP  10000.0   \n",
       "                                1769  Bruce Ernst Pydee    200.0   \n",
       "                                4730      Ernst & Young   4000.0   \n",
       "                                4731      Ernst & Young    200.0   \n",
       "                                8355         Karl Ernst     35.0   \n",
       "                                4734  Ernst & Young LLP   3500.0   \n",
       "                                4735  Ernst & Young LLP   4500.0   \n",
       "Real-Time-Donations-Jan-25V3    290          Karl Ernst     25.0   \n",
       "2017-Contributions-—-February-3 160   Ernst & Young LLP   3500.0   \n",
       "\n",
       "                                                     Date   datetime  \\\n",
       "Copy-of-2016-Contributions-v4   4732  2016-01-01 00:00:00 2016-01-01   \n",
       "                                4733  2016-03-31 00:00:00 2016-03-31   \n",
       "                                1769  2016-07-31 00:00:00 2016-07-31   \n",
       "                                4730  2016-07-31 00:00:00 2016-07-31   \n",
       "                                4731  2016-09-29 00:00:00 2016-09-29   \n",
       "                                8355  2016-10-31 00:00:00 2016-10-31   \n",
       "                                4734  2016-12-12 00:00:00 2016-12-12   \n",
       "                                4735  2016-12-19 00:00:00 2016-12-19   \n",
       "Real-Time-Donations-Jan-25V3    290   2017-01-04 00:00:00 2017-01-04   \n",
       "2017-Contributions-—-February-3 160   2017-02-01 00:00:00 2017-02-01   \n",
       "\n",
       "                                           cumsum  \n",
       "Copy-of-2016-Contributions-v4   4732    121225.00  \n",
       "                                4733   2390868.44  \n",
       "                                1769   5925572.63  \n",
       "                                4730   5919218.88  \n",
       "                                4731   6727990.10  \n",
       "                                8355   7704379.60  \n",
       "                                4734   9465647.66  \n",
       "                                4735   9821501.36  \n",
       "Real-Time-Donations-Jan-25V3    290   10476198.67  \n",
       "2017-Contributions-—-February-3 160   11255375.63  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Ernst')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>13558</th>\n",
       "      <td>Seaspan ULC</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-01-31 00:00:00</td>\n",
       "      <td>2016-01-31</td>\n",
       "      <td>506793.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13559</th>\n",
       "      <td>Seaspan ULC 1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016-02-26 00:00:00</td>\n",
       "      <td>2016-02-26</td>\n",
       "      <td>1093755.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13560</th>\n",
       "      <td>Seaspan ULC</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-03-31 00:00:00</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>2306368.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13557</th>\n",
       "      <td>Seaspan International Ltd</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>2016-05-13 00:00:00</td>\n",
       "      <td>2016-05-13</td>\n",
       "      <td>3961107.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13561</th>\n",
       "      <td>Seaspan ULC</td>\n",
       "      <td>1050.0</td>\n",
       "      <td>2016-06-17 00:00:00</td>\n",
       "      <td>2016-06-17</td>\n",
       "      <td>5084075.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-3-2017</th>\n",
       "      <th>1151</th>\n",
       "      <td>Seaspan ULC</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2017-02-24 00:00:00</td>\n",
       "      <td>2017-02-24</td>\n",
       "      <td>11898429.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-31-201</th>\n",
       "      <th>1540</th>\n",
       "      <td>Seaspan ULC</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2017-03-25 00:00:00</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>12701904.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-April-21</th>\n",
       "      <th>1130</th>\n",
       "      <td>Seaspan ULC</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2017-04-14 00:00:00</td>\n",
       "      <td>2017-04-14</td>\n",
       "      <td>14560783.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-19</th>\n",
       "      <th>392</th>\n",
       "      <td>Seaspan ULC</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>2017-05-12 00:00:00</td>\n",
       "      <td>2017-05-12</td>\n",
       "      <td>17791001.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                      Donor Name   Amount  \\\n",
       "Copy-of-2016-Contributions-v4   13558                Seaspan ULC   1000.0   \n",
       "                                13559              Seaspan ULC 1      0.0   \n",
       "                                13560                Seaspan ULC   5000.0   \n",
       "                                13557  Seaspan International Ltd  15000.0   \n",
       "                                13561                Seaspan ULC   1050.0   \n",
       "2017-Contributions-March-3-2017 1151                 Seaspan ULC   5000.0   \n",
       "2017-Contributions-March-31-201 1540                 Seaspan ULC   1000.0   \n",
       "2017-Contributions-April-21     1130                 Seaspan ULC   1000.0   \n",
       "2017-Contributions-May-19       392                  Seaspan ULC  15000.0   \n",
       "\n",
       "                                                      Date   datetime  \\\n",
       "Copy-of-2016-Contributions-v4   13558  2016-01-31 00:00:00 2016-01-31   \n",
       "                                13559  2016-02-26 00:00:00 2016-02-26   \n",
       "                                13560  2016-03-31 00:00:00 2016-03-31   \n",
       "                                13557  2016-05-13 00:00:00 2016-05-13   \n",
       "                                13561  2016-06-17 00:00:00 2016-06-17   \n",
       "2017-Contributions-March-3-2017 1151   2017-02-24 00:00:00 2017-02-24   \n",
       "2017-Contributions-March-31-201 1540   2017-03-25 00:00:00 2017-03-25   \n",
       "2017-Contributions-April-21     1130   2017-04-14 00:00:00 2017-04-14   \n",
       "2017-Contributions-May-19       392    2017-05-12 00:00:00 2017-05-12   \n",
       "\n",
       "                                            cumsum  \n",
       "Copy-of-2016-Contributions-v4   13558    506793.09  \n",
       "                                13559   1093755.44  \n",
       "                                13560   2306368.44  \n",
       "                                13557   3961107.11  \n",
       "                                13561   5084075.78  \n",
       "2017-Contributions-March-3-2017 1151   11898429.17  \n",
       "2017-Contributions-March-31-201 1540   12701904.39  \n",
       "2017-Contributions-April-21     1130   14560783.86  \n",
       "2017-Contributions-May-19       392    17791001.51  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Seaspan')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>12056</th>\n",
       "      <td>Polygon Homes Ltd</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2016-01-29 00:00:00</td>\n",
       "      <td>2016-01-29</td>\n",
       "      <td>442038.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12057</th>\n",
       "      <td>Polygon Homes Ltd</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>2016-04-15 00:00:00</td>\n",
       "      <td>2016-04-15</td>\n",
       "      <td>3041158.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12058</th>\n",
       "      <td>Polygon Homes Ltd</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2016-05-13 00:00:00</td>\n",
       "      <td>2016-05-13</td>\n",
       "      <td>4188977.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12059</th>\n",
       "      <td>Polygon Homes Ltd</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>2016-11-15 00:00:00</td>\n",
       "      <td>2016-11-15</td>\n",
       "      <td>8442131.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-31-201</th>\n",
       "      <th>1360</th>\n",
       "      <td>Polygon Homes Ltd</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>2017-03-25 00:00:00</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>13138710.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-May-12</th>\n",
       "      <th>452</th>\n",
       "      <td>Polygon Homes Ltd</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2017-05-05 00:00:00</td>\n",
       "      <td>2017-05-05</td>\n",
       "      <td>16520391.82</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Donor Name   Amount  \\\n",
       "Copy-of-2016-Contributions-v4   12056  Polygon Homes Ltd    500.0   \n",
       "                                12057  Polygon Homes Ltd  15000.0   \n",
       "                                12058  Polygon Homes Ltd  10000.0   \n",
       "                                12059  Polygon Homes Ltd   1500.0   \n",
       "2017-Contributions-March-31-201 1360   Polygon Homes Ltd  40000.0   \n",
       "2017-Contributions-May-12       452    Polygon Homes Ltd  10000.0   \n",
       "\n",
       "                                                      Date   datetime  \\\n",
       "Copy-of-2016-Contributions-v4   12056  2016-01-29 00:00:00 2016-01-29   \n",
       "                                12057  2016-04-15 00:00:00 2016-04-15   \n",
       "                                12058  2016-05-13 00:00:00 2016-05-13   \n",
       "                                12059  2016-11-15 00:00:00 2016-11-15   \n",
       "2017-Contributions-March-31-201 1360   2017-03-25 00:00:00 2017-03-25   \n",
       "2017-Contributions-May-12       452    2017-05-05 00:00:00 2017-05-05   \n",
       "\n",
       "                                            cumsum  \n",
       "Copy-of-2016-Contributions-v4   12056    442038.09  \n",
       "                                12057   3041158.44  \n",
       "                                12058   4188977.78  \n",
       "                                12059   8442131.96  \n",
       "2017-Contributions-March-31-201 1360   13138710.53  \n",
       "2017-Contributions-May-12       452    16520391.82  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Polygon')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"20\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>11088</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>2016-01-15 00:00:00</td>\n",
       "      <td>2016-01-15</td>\n",
       "      <td>335372.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11089</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>8500.0</td>\n",
       "      <td>2016-01-22 00:00:00</td>\n",
       "      <td>2016-01-22</td>\n",
       "      <td>412097.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11090</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2016-01-31 00:00:00</td>\n",
       "      <td>2016-01-31</td>\n",
       "      <td>507768.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11092</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2016-02-29 00:00:00</td>\n",
       "      <td>2016-02-29</td>\n",
       "      <td>1409995.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11100</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>2016-03-06 00:00:00</td>\n",
       "      <td>2016-03-06</td>\n",
       "      <td>1690442.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11106</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>8500.0</td>\n",
       "      <td>2016-03-11 00:00:00</td>\n",
       "      <td>2016-03-11</td>\n",
       "      <td>1857934.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11093</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-03-24 00:00:00</td>\n",
       "      <td>2016-03-24</td>\n",
       "      <td>2038055.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11094</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2016-03-31 00:00:00</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>2380073.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11102</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2016-04-07 00:00:00</td>\n",
       "      <td>2016-04-07</td>\n",
       "      <td>2768668.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11096</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>1250.0</td>\n",
       "      <td>2016-04-30 00:00:00</td>\n",
       "      <td>2016-04-30</td>\n",
       "      <td>3401549.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11103</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>7250.0</td>\n",
       "      <td>2016-05-08 00:00:00</td>\n",
       "      <td>2016-05-08</td>\n",
       "      <td>3572132.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11097</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>2016-05-13 00:00:00</td>\n",
       "      <td>2016-05-13</td>\n",
       "      <td>4083287.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11098</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>2016-05-20 00:00:00</td>\n",
       "      <td>2016-05-20</td>\n",
       "      <td>4251772.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11099</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>2016-05-31 00:00:00</td>\n",
       "      <td>2016-05-31</td>\n",
       "      <td>4474758.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11101</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>30750.0</td>\n",
       "      <td>2016-06-17 00:00:00</td>\n",
       "      <td>2016-06-17</td>\n",
       "      <td>4926212.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11095</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-08-04 00:00:00</td>\n",
       "      <td>2016-08-04</td>\n",
       "      <td>6060415.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11104</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>9600.0</td>\n",
       "      <td>2016-09-16 00:00:00</td>\n",
       "      <td>2016-09-16</td>\n",
       "      <td>6511998.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11105</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2016-09-30 00:00:00</td>\n",
       "      <td>2016-09-30</td>\n",
       "      <td>6959594.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11091</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>2016-12-02 00:00:00</td>\n",
       "      <td>2016-12-02</td>\n",
       "      <td>9061112.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11107</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2016-12-19 00:00:00</td>\n",
       "      <td>2016-12-19</td>\n",
       "      <td>9571630.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Real-Time-Donations-Jan-25V3</th>\n",
       "      <th>532</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2017-01-05 00:00:00</td>\n",
       "      <td>2017-01-05</td>\n",
       "      <td>10709433.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sheet2</th>\n",
       "      <th>718</th>\n",
       "      <td>New Car Dealers Association</td>\n",
       "      <td>250.0</td>\n",
       "      <td>1/20/2017</td>\n",
       "      <td>2017-01-20</td>\n",
       "      <td>11016471.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-—-February-3</th>\n",
       "      <th>378</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>3600.0</td>\n",
       "      <td>2017-01-27 00:00:00</td>\n",
       "      <td>2017-01-27</td>\n",
       "      <td>11156269.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-10</th>\n",
       "      <th>128</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>2017-02-10 00:00:00</td>\n",
       "      <td>2017-02-10</td>\n",
       "      <td>11595500.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-February-17</th>\n",
       "      <th>128</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>2017-02-10 00:00:00</td>\n",
       "      <td>2017-02-10</td>\n",
       "      <td>11554850.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-_-February-2</th>\n",
       "      <th>86</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>2017-02-17 00:00:00</td>\n",
       "      <td>2017-02-17</td>\n",
       "      <td>11683700.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-—-March-17-2</th>\n",
       "      <th>118</th>\n",
       "      <td>New Car Dealers Association</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2017-03-10 00:00:00</td>\n",
       "      <td>2017-03-10</td>\n",
       "      <td>12154141.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-23</th>\n",
       "      <th>95</th>\n",
       "      <td>New Car Dealers Association</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>2017-03-17 00:00:00</td>\n",
       "      <td>2017-03-17</td>\n",
       "      <td>12160066.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-31-201</th>\n",
       "      <th>1247</th>\n",
       "      <td>New Car Dealers Association</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2017-03-24 00:00:00</td>\n",
       "      <td>2017-03-24</td>\n",
       "      <td>12318748.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2017-Contributions-April-14</th>\n",
       "      <th>503</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>2017-04-07 00:00:00</td>\n",
       "      <td>2017-04-07</td>\n",
       "      <td>14041240.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>3700.0</td>\n",
       "      <td>2017-04-08 00:00:00</td>\n",
       "      <td>2017-04-08</td>\n",
       "      <td>14186017.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2017-Contributions-May-12</th>\n",
       "      <th>405</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2017-05-08 00:00:00</td>\n",
       "      <td>2017-05-08</td>\n",
       "      <td>17140784.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>New Car Dealers Association of BC</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>2017-05-09 00:00:00</td>\n",
       "      <td>2017-05-09</td>\n",
       "      <td>17230500.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                              Donor Name  \\\n",
       "Copy-of-2016-Contributions-v4   11088  New Car Dealers Association of BC   \n",
       "                                11089  New Car Dealers Association of BC   \n",
       "                                11090  New Car Dealers Association of BC   \n",
       "                                11092  New Car Dealers Association of BC   \n",
       "                                11100  New Car Dealers Association of BC   \n",
       "                                11106  New Car Dealers Association of BC   \n",
       "                                11093  New Car Dealers Association of BC   \n",
       "                                11094  New Car Dealers Association of BC   \n",
       "                                11102  New Car Dealers Association of BC   \n",
       "                                11096  New Car Dealers Association of BC   \n",
       "                                11103  New Car Dealers Association of BC   \n",
       "                                11097  New Car Dealers Association of BC   \n",
       "                                11098  New Car Dealers Association of BC   \n",
       "                                11099  New Car Dealers Association of BC   \n",
       "                                11101  New Car Dealers Association of BC   \n",
       "                                11095  New Car Dealers Association of BC   \n",
       "                                11104  New Car Dealers Association of BC   \n",
       "                                11105  New Car Dealers Association of BC   \n",
       "                                11091  New Car Dealers Association of BC   \n",
       "                                11107  New Car Dealers Association of BC   \n",
       "Real-Time-Donations-Jan-25V3    532    New Car Dealers Association of BC   \n",
       "Sheet2                          718          New Car Dealers Association   \n",
       "2017-Contributions-—-February-3 378    New Car Dealers Association of BC   \n",
       "2017-Contributions-March-10     128    New Car Dealers Association of BC   \n",
       "2017-Contributions-February-17  128    New Car Dealers Association of BC   \n",
       "2017-Contributions-_-February-2 86     New Car Dealers Association of BC   \n",
       "2017-Contributions-—-March-17-2 118          New Car Dealers Association   \n",
       "2017-Contributions-March-23     95           New Car Dealers Association   \n",
       "2017-Contributions-March-31-201 1247         New Car Dealers Association   \n",
       "2017-Contributions-April-14     503    New Car Dealers Association of BC   \n",
       "                                504    New Car Dealers Association of BC   \n",
       "2017-Contributions-May-12       405    New Car Dealers Association of BC   \n",
       "                                406    New Car Dealers Association of BC   \n",
       "\n",
       "                                        Amount                 Date  \\\n",
       "Copy-of-2016-Contributions-v4   11088   6000.0  2016-01-15 00:00:00   \n",
       "                                11089   8500.0  2016-01-22 00:00:00   \n",
       "                                11090    500.0  2016-01-31 00:00:00   \n",
       "                                11092   2000.0  2016-02-29 00:00:00   \n",
       "                                11100   1500.0  2016-03-06 00:00:00   \n",
       "                                11106   8500.0  2016-03-11 00:00:00   \n",
       "                                11093   5000.0  2016-03-24 00:00:00   \n",
       "                                11094  10000.0  2016-03-31 00:00:00   \n",
       "                                11102    300.0  2016-04-07 00:00:00   \n",
       "                                11096   1250.0  2016-04-30 00:00:00   \n",
       "                                11103   7250.0  2016-05-08 00:00:00   \n",
       "                                11097   2200.0  2016-05-13 00:00:00   \n",
       "                                11098   3000.0  2016-05-20 00:00:00   \n",
       "                                11099   1500.0  2016-05-31 00:00:00   \n",
       "                                11101  30750.0  2016-06-17 00:00:00   \n",
       "                                11095   5000.0  2016-08-04 00:00:00   \n",
       "                                11104   9600.0  2016-09-16 00:00:00   \n",
       "                                11105   2000.0  2016-09-30 00:00:00   \n",
       "                                11091   3000.0  2016-12-02 00:00:00   \n",
       "                                11107   2000.0  2016-12-19 00:00:00   \n",
       "Real-Time-Donations-Jan-25V3    532     2500.0  2017-01-05 00:00:00   \n",
       "Sheet2                          718      250.0            1/20/2017   \n",
       "2017-Contributions-—-February-3 378     3600.0  2017-01-27 00:00:00   \n",
       "2017-Contributions-March-10     128     1200.0  2017-02-10 00:00:00   \n",
       "2017-Contributions-February-17  128     1200.0  2017-02-10 00:00:00   \n",
       "2017-Contributions-_-February-2 86      1500.0  2017-02-17 00:00:00   \n",
       "2017-Contributions-—-March-17-2 118     2000.0  2017-03-10 00:00:00   \n",
       "2017-Contributions-March-23     95      1800.0  2017-03-17 00:00:00   \n",
       "2017-Contributions-March-31-201 1247    2000.0  2017-03-24 00:00:00   \n",
       "2017-Contributions-April-14     503     7000.0  2017-04-07 00:00:00   \n",
       "                                504     3700.0  2017-04-08 00:00:00   \n",
       "2017-Contributions-May-12       405     2000.0  2017-05-08 00:00:00   \n",
       "                                406     4000.0  2017-05-09 00:00:00   \n",
       "\n",
       "                                        datetime       cumsum  \n",
       "Copy-of-2016-Contributions-v4   11088 2016-01-15    335372.79  \n",
       "                                11089 2016-01-22    412097.79  \n",
       "                                11090 2016-01-31    507768.09  \n",
       "                                11092 2016-02-29   1409995.44  \n",
       "                                11100 2016-03-06   1690442.44  \n",
       "                                11106 2016-03-11   1857934.44  \n",
       "                                11093 2016-03-24   2038055.44  \n",
       "                                11094 2016-03-31   2380073.44  \n",
       "                                11102 2016-04-07   2768668.44  \n",
       "                                11096 2016-04-30   3401549.44  \n",
       "                                11103 2016-05-08   3572132.44  \n",
       "                                11097 2016-05-13   4083287.78  \n",
       "                                11098 2016-05-20   4251772.78  \n",
       "                                11099 2016-05-31   4474758.11  \n",
       "                                11101 2016-06-17   4926212.45  \n",
       "                                11095 2016-08-04   6060415.38  \n",
       "                                11104 2016-09-16   6511998.55  \n",
       "                                11105 2016-09-30   6959594.35  \n",
       "                                11091 2016-12-02   9061112.66  \n",
       "                                11107 2016-12-19   9571630.36  \n",
       "Real-Time-Donations-Jan-25V3    532   2017-01-05  10709433.67  \n",
       "Sheet2                          718   2017-01-20  11016471.29  \n",
       "2017-Contributions-—-February-3 378   2017-01-27  11156269.63  \n",
       "2017-Contributions-March-10     128   2017-02-10  11595500.63  \n",
       "2017-Contributions-February-17  128   2017-02-10  11554850.63  \n",
       "2017-Contributions-_-February-2 86    2017-02-17  11683700.63  \n",
       "2017-Contributions-—-March-17-2 118   2017-03-10  12154141.34  \n",
       "2017-Contributions-March-23     95    2017-03-17  12160066.34  \n",
       "2017-Contributions-March-31-201 1247  2017-03-24  12318748.19  \n",
       "2017-Contributions-April-14     503   2017-04-07  14041240.86  \n",
       "                                504   2017-04-08  14186017.86  \n",
       "2017-Contributions-May-12       405   2017-05-08  17140784.01  \n",
       "                                406   2017-05-09  17230500.01  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Car Dealers')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "142600.0"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Car Dealers')['Amount'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>774</th>\n",
       "      <td>Aquilini Investment Group LP</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>78350.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>Aquilini Investment Group LP</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2016-01-04 00:00:00</td>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>220045.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>775</th>\n",
       "      <td>Aquilini Investment Group LP</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2016-01-31 00:00:00</td>\n",
       "      <td>2016-01-31</td>\n",
       "      <td>667362.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>776</th>\n",
       "      <td>Aquilini Investment Group LP</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2016-02-26 00:00:00</td>\n",
       "      <td>2016-02-26</td>\n",
       "      <td>983310.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>Aquilini Investment Group LP</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>2016-04-22 00:00:00</td>\n",
       "      <td>2016-04-22</td>\n",
       "      <td>3328120.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>780</th>\n",
       "      <td>Aquilini Investment Group LP</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-10-30 00:00:00</td>\n",
       "      <td>2016-10-30</td>\n",
       "      <td>7479604.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>Aquilini Investment Group LP</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-10-31 00:00:00</td>\n",
       "      <td>2016-10-31</td>\n",
       "      <td>7713993.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>779</th>\n",
       "      <td>Aquilini Investment Group LP</td>\n",
       "      <td>75000.0</td>\n",
       "      <td>2016-11-10 00:00:00</td>\n",
       "      <td>2016-11-10</td>\n",
       "      <td>8234965.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2017-Contributions-—-February-3</th>\n",
       "      <th>25</th>\n",
       "      <td>Aquilini Investment Group</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2017-01-27 00:00:00</td>\n",
       "      <td>2017-01-27</td>\n",
       "      <td>11185925.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Aquilini Investments</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2017-01-27 00:00:00</td>\n",
       "      <td>2017-01-27</td>\n",
       "      <td>11188425.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-31-201</th>\n",
       "      <th>86</th>\n",
       "      <td>Aquilini Investment Group LP</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>2017-03-28 00:00:00</td>\n",
       "      <td>2017-03-28</td>\n",
       "      <td>13536152.53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       Donor Name   Amount  \\\n",
       "Copy-of-2016-Contributions-v4   774  Aquilini Investment Group LP   2500.0   \n",
       "                                777  Aquilini Investment Group LP  10000.0   \n",
       "                                775  Aquilini Investment Group LP   2500.0   \n",
       "                                776  Aquilini Investment Group LP  10000.0   \n",
       "                                778  Aquilini Investment Group LP  25000.0   \n",
       "                                780  Aquilini Investment Group LP   5000.0   \n",
       "                                781  Aquilini Investment Group LP   1000.0   \n",
       "                                779  Aquilini Investment Group LP  75000.0   \n",
       "2017-Contributions-—-February-3 25      Aquilini Investment Group   2500.0   \n",
       "                                26           Aquilini Investments   2500.0   \n",
       "2017-Contributions-March-31-201 86   Aquilini Investment Group LP   2400.0   \n",
       "\n",
       "                                                    Date   datetime  \\\n",
       "Copy-of-2016-Contributions-v4   774  2016-01-01 00:00:00 2016-01-01   \n",
       "                                777  2016-01-04 00:00:00 2016-01-04   \n",
       "                                775  2016-01-31 00:00:00 2016-01-31   \n",
       "                                776  2016-02-26 00:00:00 2016-02-26   \n",
       "                                778  2016-04-22 00:00:00 2016-04-22   \n",
       "                                780  2016-10-30 00:00:00 2016-10-30   \n",
       "                                781  2016-10-31 00:00:00 2016-10-31   \n",
       "                                779  2016-11-10 00:00:00 2016-11-10   \n",
       "2017-Contributions-—-February-3 25   2017-01-27 00:00:00 2017-01-27   \n",
       "                                26   2017-01-27 00:00:00 2017-01-27   \n",
       "2017-Contributions-March-31-201 86   2017-03-28 00:00:00 2017-03-28   \n",
       "\n",
       "                                          cumsum  \n",
       "Copy-of-2016-Contributions-v4   774     78350.00  \n",
       "                                777    220045.00  \n",
       "                                775    667362.09  \n",
       "                                776    983310.44  \n",
       "                                778   3328120.44  \n",
       "                                780   7479604.85  \n",
       "                                781   7713993.60  \n",
       "                                779   8234965.96  \n",
       "2017-Contributions-—-February-3 25   11185925.63  \n",
       "                                26   11188425.63  \n",
       "2017-Contributions-March-31-201 86   13536152.53  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Aquilini')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>12784</th>\n",
       "      <td>Robert J Macdonald</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2016-01-31 00:00:00</td>\n",
       "      <td>2016-01-31</td>\n",
       "      <td>671187.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12789</th>\n",
       "      <td>Robert J Macdonald</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-03-11 00:00:00</td>\n",
       "      <td>2016-03-11</td>\n",
       "      <td>1877254.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12788</th>\n",
       "      <td>Robert J Macdonald</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2016-05-08 00:00:00</td>\n",
       "      <td>2016-05-08</td>\n",
       "      <td>3601962.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12786</th>\n",
       "      <td>Robert J Macdonald</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2016-05-27 00:00:00</td>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>4319305.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12787</th>\n",
       "      <td>Robert J Macdonald</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-06-28 00:00:00</td>\n",
       "      <td>2016-06-28</td>\n",
       "      <td>5293254.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12785</th>\n",
       "      <td>Robert J Macdonald</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2016-11-03 00:00:00</td>\n",
       "      <td>2016-11-03</td>\n",
       "      <td>8062085.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Real-Time-Donations-Jan-25V3</th>\n",
       "      <th>426</th>\n",
       "      <td>Robert J Macdonald</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2017-01-04 00:00:00</td>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>10658903.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-31-201</th>\n",
       "      <th>1453</th>\n",
       "      <td>Robert J Macdonald</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>2017-03-28 00:00:00</td>\n",
       "      <td>2017-03-28</td>\n",
       "      <td>13634677.53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Donor Name   Amount  \\\n",
       "Copy-of-2016-Contributions-v4   12784  Robert J Macdonald    500.0   \n",
       "                                12789  Robert J Macdonald   1000.0   \n",
       "                                12788  Robert J Macdonald    500.0   \n",
       "                                12786  Robert J Macdonald  10000.0   \n",
       "                                12787  Robert J Macdonald   1000.0   \n",
       "                                12785  Robert J Macdonald  10000.0   \n",
       "Real-Time-Donations-Jan-25V3    426    Robert J Macdonald   1000.0   \n",
       "2017-Contributions-March-31-201 1453   Robert J Macdonald   3000.0   \n",
       "\n",
       "                                                      Date   datetime  \\\n",
       "Copy-of-2016-Contributions-v4   12784  2016-01-31 00:00:00 2016-01-31   \n",
       "                                12789  2016-03-11 00:00:00 2016-03-11   \n",
       "                                12788  2016-05-08 00:00:00 2016-05-08   \n",
       "                                12786  2016-05-27 00:00:00 2016-05-27   \n",
       "                                12787  2016-06-28 00:00:00 2016-06-28   \n",
       "                                12785  2016-11-03 00:00:00 2016-11-03   \n",
       "Real-Time-Donations-Jan-25V3    426    2017-01-04 00:00:00 2017-01-04   \n",
       "2017-Contributions-March-31-201 1453   2017-03-28 00:00:00 2017-03-28   \n",
       "\n",
       "                                            cumsum  \n",
       "Copy-of-2016-Contributions-v4   12784    671187.09  \n",
       "                                12789   1877254.44  \n",
       "                                12788   3601962.44  \n",
       "                                12786   4319305.11  \n",
       "                                12787   5293254.52  \n",
       "                                12785   8062085.96  \n",
       "Real-Time-Donations-Jan-25V3    426    10658903.67  \n",
       "2017-Contributions-March-31-201 1453   13634677.53  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Robert J Macdonald')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>6634</th>\n",
       "      <td>Insurance Brokers Association of BC</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-01-04 00:00:00</td>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>172750.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6639</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-01-04 00:00:00</td>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>201100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>932</th>\n",
       "      <td>B &amp; W Insurance Brokers</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2016-02-29 00:00:00</td>\n",
       "      <td>2016-02-29</td>\n",
       "      <td>1387680.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6647</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>1350.0</td>\n",
       "      <td>2016-03-11 00:00:00</td>\n",
       "      <td>2016-03-11</td>\n",
       "      <td>1874704.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6637</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>2016-03-18 00:00:00</td>\n",
       "      <td>2016-03-18</td>\n",
       "      <td>2007325.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6638</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2016-03-24 00:00:00</td>\n",
       "      <td>2016-03-24</td>\n",
       "      <td>2025700.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1464</th>\n",
       "      <td>Boehmer Insurance And Investment Group Inc.</td>\n",
       "      <td>180.0</td>\n",
       "      <td>2016-03-31 00:00:00</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>2198873.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10575</th>\n",
       "      <td>Michael K Wong Magc Insurance Adjus</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2016-03-31 00:00:00</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>2151828.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>Capri Insurance Services Ltd.</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-04-15 00:00:00</td>\n",
       "      <td>2016-04-15</td>\n",
       "      <td>3159703.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6641</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>2016-05-13 00:00:00</td>\n",
       "      <td>2016-05-13</td>\n",
       "      <td>4103787.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6642</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>428.0</td>\n",
       "      <td>2016-05-27 00:00:00</td>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>4339693.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>933</th>\n",
       "      <td>B &amp; W Insurance Brokers</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-05-31 00:00:00</td>\n",
       "      <td>2016-05-31</td>\n",
       "      <td>4578481.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6644</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>400.0</td>\n",
       "      <td>2016-06-17 00:00:00</td>\n",
       "      <td>2016-06-17</td>\n",
       "      <td>4963812.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6635</th>\n",
       "      <td>Insurance Brokers Association of BC</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2016-06-17 00:00:00</td>\n",
       "      <td>2016-06-17</td>\n",
       "      <td>4928712.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6645</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>2016-07-13 00:00:00</td>\n",
       "      <td>2016-07-13</td>\n",
       "      <td>5597897.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6640</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2016-08-04 00:00:00</td>\n",
       "      <td>2016-08-04</td>\n",
       "      <td>6036315.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6646</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2016-08-19 00:00:00</td>\n",
       "      <td>2016-08-19</td>\n",
       "      <td>6149840.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6643</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-10-06 00:00:00</td>\n",
       "      <td>2016-10-06</td>\n",
       "      <td>7145593.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6041</th>\n",
       "      <td>Halsey Insurance &amp; Investment Services Ltd</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-10-14 00:00:00</td>\n",
       "      <td>2016-10-14</td>\n",
       "      <td>7211098.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14844</th>\n",
       "      <td>Tony Lau Insurance</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2016-10-30 00:00:00</td>\n",
       "      <td>2016-10-30</td>\n",
       "      <td>7396145.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11084</th>\n",
       "      <td>Network Bonding &amp; Insurance Services Inc</td>\n",
       "      <td>550.0</td>\n",
       "      <td>2016-11-03 00:00:00</td>\n",
       "      <td>2016-11-03</td>\n",
       "      <td>8020129.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6636</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2016-11-03 00:00:00</td>\n",
       "      <td>2016-11-03</td>\n",
       "      <td>8091375.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7985</th>\n",
       "      <td>Johnston Meier Insurance Agencies Group</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2016-11-10 00:00:00</td>\n",
       "      <td>2016-11-10</td>\n",
       "      <td>8110075.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>Allied Insurance Services Inc</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2016-11-15 00:00:00</td>\n",
       "      <td>2016-11-15</td>\n",
       "      <td>8372891.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>AMC Insurance Services Ltd</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-11-15 00:00:00</td>\n",
       "      <td>2016-11-15</td>\n",
       "      <td>8489556.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6042</th>\n",
       "      <td>Halsey Insurance &amp; Investment Services Ltd</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2016-11-15 00:00:00</td>\n",
       "      <td>2016-11-15</td>\n",
       "      <td>8339225.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6648</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2016-11-21 00:00:00</td>\n",
       "      <td>2016-11-21</td>\n",
       "      <td>8506761.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15417</th>\n",
       "      <td>Waypoint Insurance</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2016-11-30 00:00:00</td>\n",
       "      <td>2016-11-30</td>\n",
       "      <td>8961176.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13336</th>\n",
       "      <td>RW Schmunk Insurance Services Ltd.</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2016-12-02 00:00:00</td>\n",
       "      <td>2016-12-02</td>\n",
       "      <td>9201597.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4746</th>\n",
       "      <td>ES3 Insurance Services Ltd</td>\n",
       "      <td>2600.0</td>\n",
       "      <td>2016-12-02 00:00:00</td>\n",
       "      <td>2016-12-02</td>\n",
       "      <td>9237312.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Real-Time-Donations-Jan-25V3</th>\n",
       "      <th>318</th>\n",
       "      <td>Lynn Valley Insurance Agency Ltd.</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2017-01-04 00:00:00</td>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>10466453.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2017-01-04 00:00:00</td>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>10511948.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-—-February-3</th>\n",
       "      <th>238</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>550.0</td>\n",
       "      <td>2017-02-01 00:00:00</td>\n",
       "      <td>2017-02-01</td>\n",
       "      <td>11318230.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-3-2017</th>\n",
       "      <th>789</th>\n",
       "      <td>Londsdale Insurance Brokers</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2017-02-28 00:00:00</td>\n",
       "      <td>2017-02-28</td>\n",
       "      <td>12018259.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">2017-Contributions-March-31-201</th>\n",
       "      <th>745</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2017-03-25 00:00:00</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>13203430.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Allied Insurance Services Inc</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2017-03-25 00:00:00</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>13028725.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>746</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>2017-03-28 00:00:00</td>\n",
       "      <td>2017-03-28</td>\n",
       "      <td>13416807.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>Capital West Insurance Services LTD.</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>2017-03-28 00:00:00</td>\n",
       "      <td>2017-03-28</td>\n",
       "      <td>13447007.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2017-Contributions-April-7</th>\n",
       "      <th>22</th>\n",
       "      <td>Allwest Insurance Services Ltd</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2017-04-03 00:00:00</td>\n",
       "      <td>2017-04-03</td>\n",
       "      <td>13841525.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>Greg Andrews Insurance Services Inc.</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2017-04-03 00:00:00</td>\n",
       "      <td>2017-04-03</td>\n",
       "      <td>13929475.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2017-Contributions-April-14</th>\n",
       "      <th>474</th>\n",
       "      <td>Maxxam Insurance Services Inc</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2017-04-09 00:00:00</td>\n",
       "      <td>2017-04-09</td>\n",
       "      <td>14510418.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Boehmer Insurance And Investment Group Inc.</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2017-04-09 00:00:00</td>\n",
       "      <td>2017-04-09</td>\n",
       "      <td>14233162.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2017-Contributions-April-21</th>\n",
       "      <th>556</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>3100.0</td>\n",
       "      <td>2017-04-14 00:00:00</td>\n",
       "      <td>2017-04-14</td>\n",
       "      <td>14618678.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>AKT Insurance Services Ltd</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2017-04-14 00:00:00</td>\n",
       "      <td>2017-04-14</td>\n",
       "      <td>14805486.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">2017-Contributions-April-28-201</th>\n",
       "      <th>210</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>500.0</td>\n",
       "      <td>2017-04-21 00:00:00</td>\n",
       "      <td>2017-04-21</td>\n",
       "      <td>15130680.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>Insurance Brokers Association of BC</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2017-04-21 00:00:00</td>\n",
       "      <td>2017-04-21</td>\n",
       "      <td>15131680.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Alport Insurance Agencies Inc</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2017-04-21 00:00:00</td>\n",
       "      <td>2017-04-21</td>\n",
       "      <td>14841622.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>A &amp; S Insurance Services Ltd.</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2017-04-21 00:00:00</td>\n",
       "      <td>2017-04-21</td>\n",
       "      <td>14875454.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2017-Contributions-May-5</th>\n",
       "      <th>497</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2017-04-28 00:00:00</td>\n",
       "      <td>2017-04-28</td>\n",
       "      <td>15439965.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>2017-04-29 00:00:00</td>\n",
       "      <td>2017-04-29</td>\n",
       "      <td>15592516.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>2017-05-03 00:00:00</td>\n",
       "      <td>2017-05-03</td>\n",
       "      <td>15718034.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2017-Contributions-June-2</th>\n",
       "      <th>228</th>\n",
       "      <td>Great Pacific Captive Insurance Ltd.</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>2017-05-26 00:00:00</td>\n",
       "      <td>2017-05-26</td>\n",
       "      <td>18157627.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>Insurance Bureau of Canada</td>\n",
       "      <td>1050.0</td>\n",
       "      <td>2017-05-30 00:00:00</td>\n",
       "      <td>2017-05-30</td>\n",
       "      <td>18345298.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>Hendry Swinton McKenzie Insurance Services (We...</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2017-05-30 00:00:00</td>\n",
       "      <td>2017-05-30</td>\n",
       "      <td>18325148.09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                              Donor Name  \\\n",
       "Copy-of-2016-Contributions-v4   6634                 Insurance Brokers Association of BC   \n",
       "                                6639                          Insurance Bureau of Canada   \n",
       "                                932                              B & W Insurance Brokers   \n",
       "                                6647                          Insurance Bureau of Canada   \n",
       "                                6637                          Insurance Bureau of Canada   \n",
       "                                6638                          Insurance Bureau of Canada   \n",
       "                                1464         Boehmer Insurance And Investment Group Inc.   \n",
       "                                10575                Michael K Wong Magc Insurance Adjus   \n",
       "                                2008                       Capri Insurance Services Ltd.   \n",
       "                                6641                          Insurance Bureau of Canada   \n",
       "                                6642                          Insurance Bureau of Canada   \n",
       "                                933                              B & W Insurance Brokers   \n",
       "                                6644                          Insurance Bureau of Canada   \n",
       "                                6635                 Insurance Brokers Association of BC   \n",
       "                                6645                          Insurance Bureau of Canada   \n",
       "                                6640                          Insurance Bureau of Canada   \n",
       "                                6646                          Insurance Bureau of Canada   \n",
       "                                6643                          Insurance Bureau of Canada   \n",
       "                                6041          Halsey Insurance & Investment Services Ltd   \n",
       "                                14844                                 Tony Lau Insurance   \n",
       "                                11084           Network Bonding & Insurance Services Inc   \n",
       "                                6636                          Insurance Bureau of Canada   \n",
       "                                7985             Johnston Meier Insurance Agencies Group   \n",
       "                                430                        Allied Insurance Services Inc   \n",
       "                                485                           AMC Insurance Services Ltd   \n",
       "                                6042          Halsey Insurance & Investment Services Ltd   \n",
       "                                6648                          Insurance Bureau of Canada   \n",
       "                                15417                                 Waypoint Insurance   \n",
       "                                13336                 RW Schmunk Insurance Services Ltd.   \n",
       "                                4746                          ES3 Insurance Services Ltd   \n",
       "Real-Time-Donations-Jan-25V3    318                    Lynn Valley Insurance Agency Ltd.   \n",
       "                                239                           Insurance Bureau of Canada   \n",
       "2017-Contributions-—-February-3 238                           Insurance Bureau of Canada   \n",
       "2017-Contributions-March-3-2017 789                          Londsdale Insurance Brokers   \n",
       "2017-Contributions-March-31-201 745                           Insurance Bureau of Canada   \n",
       "                                41                         Allied Insurance Services Inc   \n",
       "                                746                           Insurance Bureau of Canada   \n",
       "                                241                 Capital West Insurance Services LTD.   \n",
       "2017-Contributions-April-7      22                        Allwest Insurance Services Ltd   \n",
       "                                276                 Greg Andrews Insurance Services Inc.   \n",
       "2017-Contributions-April-14     474                        Maxxam Insurance Services Inc   \n",
       "                                73           Boehmer Insurance And Investment Group Inc.   \n",
       "2017-Contributions-April-21     556                           Insurance Bureau of Canada   \n",
       "                                15                            AKT Insurance Services Ltd   \n",
       "2017-Contributions-April-28-201 210                           Insurance Bureau of Canada   \n",
       "                                209                  Insurance Brokers Association of BC   \n",
       "                                24                         Alport Insurance Agencies Inc   \n",
       "                                11                         A & S Insurance Services Ltd.   \n",
       "2017-Contributions-May-5        497                           Insurance Bureau of Canada   \n",
       "                                495                           Insurance Bureau of Canada   \n",
       "                                496                           Insurance Bureau of Canada   \n",
       "2017-Contributions-June-2       228                 Great Pacific Captive Insurance Ltd.   \n",
       "                                260                           Insurance Bureau of Canada   \n",
       "                                244    Hendry Swinton McKenzie Insurance Services (We...   \n",
       "\n",
       "                                        Amount                 Date  \\\n",
       "Copy-of-2016-Contributions-v4   6634    1000.0  2016-01-04 00:00:00   \n",
       "                                6639    1000.0  2016-01-04 00:00:00   \n",
       "                                932      250.0  2016-02-29 00:00:00   \n",
       "                                6647    1350.0  2016-03-11 00:00:00   \n",
       "                                6637    1100.0  2016-03-18 00:00:00   \n",
       "                                6638     250.0  2016-03-24 00:00:00   \n",
       "                                1464     180.0  2016-03-31 00:00:00   \n",
       "                                10575    100.0  2016-03-31 00:00:00   \n",
       "                                2008    1000.0  2016-04-15 00:00:00   \n",
       "                                6641    7500.0  2016-05-13 00:00:00   \n",
       "                                6642     428.0  2016-05-27 00:00:00   \n",
       "                                933     1000.0  2016-05-31 00:00:00   \n",
       "                                6644     400.0  2016-06-17 00:00:00   \n",
       "                                6635    2500.0  2016-06-17 00:00:00   \n",
       "                                6645    8000.0  2016-07-13 00:00:00   \n",
       "                                6640     250.0  2016-08-04 00:00:00   \n",
       "                                6646     100.0  2016-08-19 00:00:00   \n",
       "                                6643    1000.0  2016-10-06 00:00:00   \n",
       "                                6041    5000.0  2016-10-14 00:00:00   \n",
       "                                14844    100.0  2016-10-30 00:00:00   \n",
       "                                11084    550.0  2016-11-03 00:00:00   \n",
       "                                6636     500.0  2016-11-03 00:00:00   \n",
       "                                7985     100.0  2016-11-10 00:00:00   \n",
       "                                430      100.0  2016-11-15 00:00:00   \n",
       "                                485     1000.0  2016-11-15 00:00:00   \n",
       "                                6042    1000.0  2016-11-15 00:00:00   \n",
       "                                6648    2500.0  2016-11-21 00:00:00   \n",
       "                                15417    500.0  2016-11-30 00:00:00   \n",
       "                                13336   2500.0  2016-12-02 00:00:00   \n",
       "                                4746    2600.0  2016-12-02 00:00:00   \n",
       "Real-Time-Donations-Jan-25V3    318      250.0  2017-01-04 00:00:00   \n",
       "                                239      300.0  2017-01-04 00:00:00   \n",
       "2017-Contributions-—-February-3 238      550.0  2017-02-01 00:00:00   \n",
       "2017-Contributions-March-3-2017 789      100.0  2017-02-28 00:00:00   \n",
       "2017-Contributions-March-31-201 745      250.0  2017-03-25 00:00:00   \n",
       "                                41       100.0  2017-03-25 00:00:00   \n",
       "                                746     2300.0  2017-03-28 00:00:00   \n",
       "                                241     3000.0  2017-03-28 00:00:00   \n",
       "2017-Contributions-April-7      22      2500.0  2017-04-03 00:00:00   \n",
       "                                276      500.0  2017-04-03 00:00:00   \n",
       "2017-Contributions-April-14     474     1000.0  2017-04-09 00:00:00   \n",
       "                                73       500.0  2017-04-09 00:00:00   \n",
       "2017-Contributions-April-21     556     3100.0  2017-04-14 00:00:00   \n",
       "                                15      1000.0  2017-04-14 00:00:00   \n",
       "2017-Contributions-April-28-201 210      500.0  2017-04-21 00:00:00   \n",
       "                                209     1000.0  2017-04-21 00:00:00   \n",
       "                                24      1000.0  2017-04-21 00:00:00   \n",
       "                                11      2500.0  2017-04-21 00:00:00   \n",
       "2017-Contributions-May-5        497     1000.0  2017-04-28 00:00:00   \n",
       "                                495     4000.0  2017-04-29 00:00:00   \n",
       "                                496     1500.0  2017-05-03 00:00:00   \n",
       "2017-Contributions-June-2       228    10000.0  2017-05-26 00:00:00   \n",
       "                                260     1050.0  2017-05-30 00:00:00   \n",
       "                                244      300.0  2017-05-30 00:00:00   \n",
       "\n",
       "                                        datetime       cumsum  \n",
       "Copy-of-2016-Contributions-v4   6634  2016-01-04    172750.00  \n",
       "                                6639  2016-01-04    201100.00  \n",
       "                                932   2016-02-29   1387680.44  \n",
       "                                6647  2016-03-11   1874704.44  \n",
       "                                6637  2016-03-18   2007325.44  \n",
       "                                6638  2016-03-24   2025700.44  \n",
       "                                1464  2016-03-31   2198873.44  \n",
       "                                10575 2016-03-31   2151828.44  \n",
       "                                2008  2016-04-15   3159703.44  \n",
       "                                6641  2016-05-13   4103787.78  \n",
       "                                6642  2016-05-27   4339693.11  \n",
       "                                933   2016-05-31   4578481.45  \n",
       "                                6644  2016-06-17   4963812.45  \n",
       "                                6635  2016-06-17   4928712.45  \n",
       "                                6645  2016-07-13   5597897.88  \n",
       "                                6640  2016-08-04   6036315.38  \n",
       "                                6646  2016-08-19   6149840.38  \n",
       "                                6643  2016-10-06   7145593.35  \n",
       "                                6041  2016-10-14   7211098.35  \n",
       "                                14844 2016-10-30   7396145.60  \n",
       "                                11084 2016-11-03   8020129.96  \n",
       "                                6636  2016-11-03   8091375.96  \n",
       "                                7985  2016-11-10   8110075.96  \n",
       "                                430   2016-11-15   8372891.96  \n",
       "                                485   2016-11-15   8489556.96  \n",
       "                                6042  2016-11-15   8339225.96  \n",
       "                                6648  2016-11-21   8506761.96  \n",
       "                                15417 2016-11-30   8961176.66  \n",
       "                                13336 2016-12-02   9201597.66  \n",
       "                                4746  2016-12-02   9237312.66  \n",
       "Real-Time-Donations-Jan-25V3    318   2017-01-04  10466453.67  \n",
       "                                239   2017-01-04  10511948.67  \n",
       "2017-Contributions-—-February-3 238   2017-02-01  11318230.63  \n",
       "2017-Contributions-March-3-2017 789   2017-02-28  12018259.34  \n",
       "2017-Contributions-March-31-201 745   2017-03-25  13203430.53  \n",
       "                                41    2017-03-25  13028725.53  \n",
       "                                746   2017-03-28  13416807.53  \n",
       "                                241   2017-03-28  13447007.53  \n",
       "2017-Contributions-April-7      22    2017-04-03  13841525.86  \n",
       "                                276   2017-04-03  13929475.86  \n",
       "2017-Contributions-April-14     474   2017-04-09  14510418.86  \n",
       "                                73    2017-04-09  14233162.86  \n",
       "2017-Contributions-April-21     556   2017-04-14  14618678.86  \n",
       "                                15    2017-04-14  14805486.53  \n",
       "2017-Contributions-April-28-201 210   2017-04-21  15130680.38  \n",
       "                                209   2017-04-21  15131680.38  \n",
       "                                24    2017-04-21  14841622.38  \n",
       "                                11    2017-04-21  14875454.38  \n",
       "2017-Contributions-May-5        497   2017-04-28  15439965.38  \n",
       "                                495   2017-04-29  15592516.49  \n",
       "                                496   2017-05-03  15718034.49  \n",
       "2017-Contributions-June-2       228   2017-05-26  18157627.59  \n",
       "                                260   2017-05-30  18345298.09  \n",
       "                                244   2017-05-30  18325148.09  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Insurance')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "82158.0"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Insurance')['Amount'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23492.0"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Automotive')['Amount'].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Accumulate donations across 'Donor Name' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4c637ab1d0>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4c637b4780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.pivot_table(df,index=['Donor Name'], \n",
    "               aggfunc = sum, values = ['Amount']).sort_values(by=['Amount'], \n",
    "                                                               ascending=[False]).head(n=30).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Amount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donor Name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Independent Contractors &amp; Businesses Association of BC</th>\n",
       "      <td>174700.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Car Dealers Association of BC</th>\n",
       "      <td>136550.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aquilini Investment Group LP</th>\n",
       "      <td>133400.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Progressive Waste Solutions Canada Inc</th>\n",
       "      <td>123700.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wesgroup Properties Ltd</th>\n",
       "      <td>121750.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Encana Corporation Ltd</th>\n",
       "      <td>121200.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Fraser Mills Ltd</th>\n",
       "      <td>114300.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gateway Casinos and Entertainment Limited</th>\n",
       "      <td>105738.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Interfor Corporation</th>\n",
       "      <td>97050.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sandman Hotels, Inns &amp; Suites Ltd</th>\n",
       "      <td>95000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canadian Forest Products Ltd</th>\n",
       "      <td>90650.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LifeLabs Inc</th>\n",
       "      <td>85955.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anthem Properties Group Ltd.</th>\n",
       "      <td>84000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fasken Martineau DuMoulin LLP</th>\n",
       "      <td>83025.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Polygon Homes Ltd</th>\n",
       "      <td>77000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Starline Windows (2001) Ltd.</th>\n",
       "      <td>75000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wesbild Holdings Ltd</th>\n",
       "      <td>72500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shato Holdings Ltd.</th>\n",
       "      <td>70200.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Canadian Gaming Corp.</th>\n",
       "      <td>68995.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anthem Properties Corp Ltd</th>\n",
       "      <td>68200.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tolko Industries Ltd</th>\n",
       "      <td>67850.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Woodfibre LNG Ltd.</th>\n",
       "      <td>67500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Pacific Investment Corporation Ltd.</th>\n",
       "      <td>65000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burnco Rock Products Ltd.</th>\n",
       "      <td>64000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western Forest Products Inc.</th>\n",
       "      <td>63300.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       Amount\n",
       "Donor Name                                                   \n",
       "Independent Contractors & Businesses Associatio...  174700.00\n",
       "New Car Dealers Association of BC                   136550.00\n",
       "Aquilini Investment Group LP                        133400.00\n",
       "Progressive Waste Solutions Canada Inc              123700.00\n",
       "Wesgroup Properties Ltd                             121750.00\n",
       "Encana Corporation Ltd                              121200.00\n",
       "West Fraser Mills Ltd                               114300.00\n",
       "Gateway Casinos and Entertainment Limited           105738.74\n",
       "Interfor Corporation                                 97050.00\n",
       "Sandman Hotels, Inns & Suites Ltd                    95000.00\n",
       "Canadian Forest Products Ltd                         90650.00\n",
       "LifeLabs Inc                                         85955.00\n",
       "Anthem Properties Group Ltd.                         84000.00\n",
       "Fasken Martineau DuMoulin LLP                        83025.00\n",
       "Polygon Homes Ltd                                    77000.00\n",
       "Starline Windows (2001) Ltd.                         75000.00\n",
       "Wesbild Holdings Ltd                                 72500.00\n",
       "Shato Holdings Ltd.                                  70200.00\n",
       "Great Canadian Gaming Corp.                          68995.00\n",
       "Anthem Properties Corp Ltd                           68200.00\n",
       "Tolko Industries Ltd                                 67850.00\n",
       "Woodfibre LNG Ltd.                                   67500.00\n",
       "The Pacific Investment Corporation Ltd.              65000.00\n",
       "Burnco Rock Products Ltd.                            64000.00\n",
       "Western Forest Products Inc.                         63300.00"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Top 25 Donors \n",
    "pd.pivot_table(df,index=['Donor Name'], \n",
    "               aggfunc = sum, values = ['Amount']).sort_values(by=['Amount'], ascending=[False]).head(n=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Amount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Donor Name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Gateway Casinos and Entertainment Limited</th>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Canadian Gaming Corp.</th>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Car Dealers Association of BC</th>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Insurance Bureau of Canada</th>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Janet Smukowich</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Independent Contractors &amp; Businesses Association of BC</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LifeLabs Inc</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stewart Vinnels</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stephen P. Roberts</th>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wazuku Advisory Group Inc.</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Encana Corporation Ltd</th>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Marina Guest</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jess Ketchum</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Telus</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tek S. Manhas</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Richard Lane</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Michael Lee</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mark Robertson</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anthem Properties Corp Ltd</th>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cynthia Shore</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lonnie Neufeld</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Niall Paltiel</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FortisBC Energy Inc.</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wesbild Holdings Ltd</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jeff Guignard</th>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Amount\n",
       "Donor Name                                                \n",
       "Gateway Casinos and Entertainment Limited             40.0\n",
       "Great Canadian Gaming Corp.                           30.0\n",
       "New Car Dealers Association of BC                     29.0\n",
       "Insurance Bureau of Canada                            23.0\n",
       "Janet Smukowich                                       22.0\n",
       "Independent Contractors & Businesses Associatio...    20.0\n",
       "LifeLabs Inc                                          20.0\n",
       "Stewart Vinnels                                       19.0\n",
       "Stephen P. Roberts                                    19.0\n",
       "Wazuku Advisory Group Inc.                            18.0\n",
       "Encana Corporation Ltd                                18.0\n",
       "Marina Guest                                          17.0\n",
       "Jess Ketchum                                          17.0\n",
       "Telus                                                 16.0\n",
       "Tek S. Manhas                                         15.0\n",
       "Richard Lane                                          15.0\n",
       "Michael Lee                                           15.0\n",
       "Mark Robertson                                        15.0\n",
       "Anthem Properties Corp Ltd                            15.0\n",
       "Cynthia Shore                                         14.0\n",
       "Lonnie Neufeld                                        14.0\n",
       "Niall Paltiel                                         14.0\n",
       "FortisBC Energy Inc.                                  14.0\n",
       "Wesbild Holdings Ltd                                  14.0\n",
       "Jeff Guignard                                         14.0"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Most frequent Donors \n",
    "pd.pivot_table(df,index=['Donor Name'], \n",
    "               aggfunc = len, values = ['Amount']).sort_values(by=['Amount'], ascending=[False]).head(n=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5012371.4699999997"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Donation yield from top 100 donors\n",
    "pd.pivot_table(df,index=['Donor Name'], \n",
    "               aggfunc = sum, values = ['Amount']).sort_values(by=['Amount'], ascending=[False]).head(n=100)['Amount'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f54366c6fd0>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Donation yield from top 100 donors\n",
    "pd.pivot_table(df,index=['Donor Name'], \n",
    "               aggfunc = sum, values = ['Amount']).sort_values(by=['Amount'], \n",
    "                                        ascending=[False]).head(n=100)['Amount'].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.27005249922877489"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Fraction of total donations from top 100 donors\n",
    "pd.pivot_table(df,index=['Donor Name'], \n",
    "               aggfunc = sum, \n",
    "               values = ['Amount']).sort_values(by=['Amount'], ascending=[False]).head(n=100)['Amount'].sum()/df['Amount'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15306"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df['Donor Name'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Donation Amount by Day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4c63b094a8>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4c63aee588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.pivot_table(df,index=['datetime'], \n",
    "               aggfunc = sum, values = ['Amount']).sort_values(by=['Amount'], \n",
    "                                                               ascending=[False]).head(n=30).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Amount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-03-25</th>\n",
       "      <td>938817.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-05-12</th>\n",
       "      <td>814751.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-26</th>\n",
       "      <td>548565.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-05-05</th>\n",
       "      <td>546109.52</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Amount\n",
       "datetime             \n",
       "2017-03-25  938817.34\n",
       "2017-05-12  814751.50\n",
       "2016-02-26  548565.00\n",
       "2017-05-05  546109.52"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.pivot_table(df,index=['datetime'], \n",
    "               aggfunc = sum, values = ['Amount']).sort_values(by=['Amount'], \n",
    "                                                               ascending=[False]).head(n=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The BC Liberal Party received $939K in donations on 2017-03-25."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyzing UBC BoG Donations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copied from [UBCBoG site](http://bog.ubc.ca/?page_id=12657)\n",
    "\n",
    "Appointed by the Province\n",
    "\n",
    "Stuart Belkin (Chair)\tDecember 2018  \n",
    "Sandra Cawley\tDecember 2018  \n",
    "Raghwa Gopal\tDecember 2017  \n",
    "Celeste Haldane\tDecember 2017  \n",
    "Michael Korenberg (Vice-Chair)\tDecember 2017  \n",
    "Graham Lee\tDecember 2017  \n",
    "Fiona Macfarlane\tDecember 2018  \n",
    "Beverlee Park\tDecember 2017  \n",
    "Alan Shuster\tFebruary 2020  \n",
    "David Sidoo\tDecember 2017  \n",
    "Kevin Smith\tDecember 2018  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "ubc_board = ['Stuart Belkin',\n",
    "'Sandra Cawley',\n",
    "'Raghwa Gopal',\n",
    "'Celeste Haldane',\n",
    "'Michael Korenberg',\n",
    "'Graham Lee',\n",
    "'Fiona Macfarlan',\n",
    "'Beverlee Park',\n",
    "'Alan Shuster',\n",
    "'David Sidoo',\n",
    "'Kevin Smith',\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stuart Belkin 0\n",
      "Sandra Cawley 0\n",
      "Raghwa Gopal 1000.0\n",
      "Celeste Haldane 0\n",
      "Michael Korenberg 2500.0\n",
      "Graham Lee 2300.0\n",
      "Fiona Macfarlan 1800.0\n",
      "Beverlee Park 0\n",
      "Alan Shuster 0\n",
      "David Sidoo 10000.0\n",
      "Kevin Smith 0\n"
     ]
    }
   ],
   "source": [
    "for name in ubc_board:\n",
    "    print(name, df_filter(name)['Amount'].sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "[Alan Shuster used to work for Premier Clark](http://old.ubyssey.ca/news/clark-manager-bog-333/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Copy-of-2016-Contributions-v4</th>\n",
       "      <th>5813</th>\n",
       "      <td>Graham Lee</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>2016-04-30 00:00:00</td>\n",
       "      <td>2016-04-30</td>\n",
       "      <td>3389935.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-3-2017</th>\n",
       "      <th>490</th>\n",
       "      <td>Graham Lee</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>2017-02-24 00:00:00</td>\n",
       "      <td>2017-02-24</td>\n",
       "      <td>11745080.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      Donor Name  Amount                 Date  \\\n",
       "Copy-of-2016-Contributions-v4   5813  Graham Lee  1150.0  2016-04-30 00:00:00   \n",
       "2017-Contributions-March-3-2017 490   Graham Lee  1150.0  2017-02-24 00:00:00   \n",
       "\n",
       "                                       datetime       cumsum  \n",
       "Copy-of-2016-Contributions-v4   5813 2016-04-30   3389935.44  \n",
       "2017-Contributions-March-3-2017 490  2017-02-24  11745080.63  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('Graham Lee')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Donor Name</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>cumsum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Copy-of-2016-Contributions-v4</th>\n",
       "      <th>3416</th>\n",
       "      <td>David Sidoo</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2016-01-31 00:00:00</td>\n",
       "      <td>2016-01-31</td>\n",
       "      <td>470908.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3417</th>\n",
       "      <td>David Sidoo</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>2016-02-29 00:00:00</td>\n",
       "      <td>2016-02-29</td>\n",
       "      <td>1306830.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-Contributions-March-31-201</th>\n",
       "      <th>390</th>\n",
       "      <td>David Sidoo</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2017-03-25 00:00:00</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>13079040.53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       Donor Name  Amount  \\\n",
       "Copy-of-2016-Contributions-v4   3416  David Sidoo  2500.0   \n",
       "                                3417  David Sidoo  5000.0   \n",
       "2017-Contributions-March-31-201 390   David Sidoo  2500.0   \n",
       "\n",
       "                                                     Date   datetime  \\\n",
       "Copy-of-2016-Contributions-v4   3416  2016-01-31 00:00:00 2016-01-31   \n",
       "                                3417  2016-02-29 00:00:00 2016-02-29   \n",
       "2017-Contributions-March-31-201 390   2017-03-25 00:00:00 2017-03-25   \n",
       "\n",
       "                                           cumsum  \n",
       "Copy-of-2016-Contributions-v4   3416    470908.09  \n",
       "                                3417   1306830.44  \n",
       "2017-Contributions-March-31-201 390   13079040.53  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter('David Sidoo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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