{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Denison CS181/DA210 Homework\n",
    "\n",
    "Before you turn this problem in, make sure everything runs as expected. This is a combination of **restarting the kernel** and then **running all cells** (in the menubar, select Kernel$\\rightarrow$Restart And Run All).\n",
    "\n",
    "Make sure you fill in any place that says `YOUR CODE HERE` or \"YOUR ANSWER HERE\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Web Scraping Practicum and Homework"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "editable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "84497297e822c3a354377d3b8e151006",
     "grade": false,
     "grade_id": "cell-b9abcf27cf7faf8f",
     "locked": true,
     "schema_version": 3,
     "solution": false,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import io\n",
    "import sys\n",
    "import importlib\n",
    "import pandas as pd\n",
    "from lxml import etree\n",
    "import requests\n",
    "from IPython.display import Image\n",
    "\n",
    "htmlparser =  etree.HTMLParser()\n",
    "\n",
    "if os.path.isdir(os.path.join(\"../../..\", \"modules\")):\n",
    "    module_dir = os.path.join(\"../../..\", \"modules\")\n",
    "else:\n",
    "    module_dir = os.path.join(\"../..\", \"modules\")\n",
    "\n",
    "module_path = os.path.abspath(module_dir)\n",
    "if not module_path in sys.path:\n",
    "    sys.path.append(module_path)\n",
    "\n",
    "import util\n",
    "importlib.reload(util)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Topnames Table with GET\n",
    "\n",
    "### Discovery"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Consider the web page at http://datasystems.denison.edu/topnames.html, shown in its rendered form below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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kah8KfGHwQ/as8OQsZtFex0vUth2+aLYfareM9v30Ruo3J/hwPp7/AP8ABRv4DfFf48+CPCGkfCjQ/wC3LvS9VuLm7j+12tp5cUkOxW3XU0KtluMKSfave/2k/gvffGb9mfW/hnbW6ya7/ZdvPpkbOi/8TOwCyxRiRiEXzWQxFiwUK5JIHNbYfFQp06Cb6yTXk+5M6bcp/I+BPjxq2n/tXftz/C34UaHMuo+EvCllba7fsvzQyJcxpqU27sUmt1tYR3DOR9DUv+Uwmlf9ejf+oxPXpH/BOr9k74l/BHWPFvjv4y6P/ZWuXtra6RpUTXdteutkp8ydt9tNOqqzRwIqlgQIzxjFb97+z38X5v8AgpHYfH2PQc+A4LZkfVvtlpwx0KWyx9n877Sf9IYJ/qsfxfd5rZ16UJzowkuWNNpO+7eunqTyyaUmtW0Z37T37Uer6F8f9P8Agx8AfhzpHjD4rQRQp/a+o20cslkZoTcCCFsxONtvIZHkedIowxyD82PCP2kfDH/BQjWfgf4q1/4zeKvDOieEbK0S41HR9PMaXF0vmoqwiSG3kJy7AbTcBWOAc5r0n9o34BftE/DX9qZf2r/2d9Ig8VHUI4/t+lvsZ4ZFtRZzI0ReN5IZokVw8T+YshPAUDOD4+8Fft/ftjeFtQ8K+OtE0j4Z+E4IZLtbDJSfV7y3TzLW3lDTzS7PPVTuYQxpnftlZAKrD+ygqU4ONrK7erv1SX5WQp8z5k736W2PQf2e/wDlFbrn/YneOv8A0ZqVfNfw/utStP8Agk145k0wEyPrLRSkdRBLqNikpx3+QkH0BJ7V9F/s1/D39pTTv2TfiV+zx498CLoz2nhrWrDwvI1zAJtSvNYjvneF2+0NCoWaVAshKJhuTwTXrP7JX7NviHQf2TNU+Bfx00U6bLrl1qiXdmtzb3Drb3YQRyJLbSTRh1K70+YlWAJFRUr06bnJtP8AeKWj3W44xcrK3Sx8b/smW37etv8AATw23wOHg8eDpmvpLFtQ2fa2c3k4nMx6lhMHUZ6KFHarXxS+AH7bPxY+JXgTxf8AFq48F2uoeGb6F7BrS+is55EW5imICkbpSrKNgHQsfWtf4feFf28f2KW1P4feA/CVn8TvBE9211p88YL+XJLwWSNJ0uIC2AZY3R4wwJRuWZu2+FX7OH7Rvx9+P+j/ALRX7WFrbaDYeGWim0Xw7AyZEltJ5tugiR5fLhSYmWRppGmkYBSNhG3edZRqTrpw5dbNfE79LX37kqF4qOt/wP1xooor5U7wooooAKKKKAPnHVv2ovhxo37QOm/s23dvqp8VarCJ4ZkgiNgqtbyXIDSmYSA7Ij0jPzED1x5P/wAFIJET9j3xqrHBkm0ZV9z/AGnan+QNeQftqfs1/GrV/i74V/ab/Z4VL7xN4cgggudNLxpKxtZHaKWMSlEmV0leOaMsGKAbQ2Tj55+Kdl/wUL/bB0+w+F3iv4f2Xgvw+t5FcX1wY3sbd5IuFkne4uJ5ZI4ySyxwKxJwSGwCPcwuFpc1KvCaSVnK71un2OWpUlaUGvQ+n/gR8TPCHwb/AOCcXhzx34+05dW0my028RtMkRJBfSXWp3EcMBWQMm2R3XcSrBUy2DjB8g+GfxM/4KAfGvwvBrfwM8JeD/ht4FuHl/sctbwwx+UZG3MiSeaX+csTItsiO2So619e/FT9lCDxR+yFF+zb4Wvo47zR9MsU029uVKRzX9gyyl5Qu4oty4cMRu2eZkBtuD8WfCrxh/wUh+E3gfTfghoXwn0+/bRVaysNXvwhjjtt52BpY7yK2fywSFckHbjcGOSdKUqVSNSpDlcnJv3trd7EyUk0ne1uh5l8CdA+KHhn/gpnp+kfGbxFa+KPGCWd3LqWoWbEwFp9EeVI0HlQBBHGyqFWNFAAwAK9P+EUUOq/8FW/H134jjUXtlbX7adv5IeO1tbeJlz3NmzfgTXAQfs2ftr/AAP+P+g/tA2Wk2vxT8S6jDcXerSR3EcUEV5exS20ls5eSBtscTKUkRFiHCAbV5+of2sv2VPi1N8YdJ/am/Zikg/4TbT/ACV1DS5HihN40SGDz0edkhffbnyZonZN0agqSxIPVWrUpVEude9Dlutk/wBERGMrXs9Hc/QX4kQfD248D6tF8VRph8JmJTqf9sGNbHyldSpmMuEAEgUgn+LGOcV+L/7eVv8ACu41D9nfQvh1/ZI+GM1/q32dtGkjfTWWXULNb7YYiYztbduweGZwcHNdr8R9G/4KGftc6NafCfxn4K0r4feGZbmKTWL0P5MM5t3DrvVrm5mkjVwHSOJSC4Us+ACPqL4+/sNaD8Rf2bvC/wAHfBN3Haaz4AgX+wdQvRhZ3KYuUuDGDsW7bEjsqnbIqnBAIPFhFTwlSDqVNW3ondLS1/X9DSpeonyo+/0RIkWONQiIAqqowABwAB2Ar8avhoYz/wAFZPG//CM7BY/Yrn7fsxgn+zrTz+nG77ZjdnvnPNaXhz4t/wDBTjwd4at/htcfCqz1rVrO3Fpa6/chJSY0G1XmlivFtJJFGMMxXdgF1Y7iffP2Iv2TvFnwZufEPxd+Md3HqHxG8abnvArLM1jHPKbidHnQlJJriXa0xTKAooUsMkxTpRwtOo5zT5lZWd736jcnUcUltqeA/sG2+lP+2R+0XdTBDqUWraoltkDeLd9XuDPt743LFnHHTPavrr/goLFpEv7Inj86wEKxw2D25bGRci+txFtz3LHHHO0kdM1+esX7Ln7anw4+PXxE/aD+FWkW9reJ4j1O70yyuL20lXXdK1O7uJJFMcdx0VRE5imMTkkFCJIwK6vxx4E/b4/bQn0bwD8VfDen/DfwTa3a3Oo3EKiNZJI14doZLue4nZQW8pF2Rbjl2yAw66tKE8THEKpHlVr66q3QiMmoOHK76n3F/wAE+11Ff2QPh4NUyZfI1Ex56+QdRujD/wCQ9uPbFfZVcz4M8I6H4B8JaP4J8NQfZtK0OygsLSPqRFboEUse7HGWY8sxJPJrpq8DEVFUqyqLq2zrhG0UgooorEoK/MP9pL9uTxTY+P5v2fP2W9DbxX4981rS7v0i+029jOvEkcUYO2SWH/lrJKRDCQQ4bDhf0s1eTUIdJvZtJh+0XyW8rW0RKqJJghMa5YhRubAySB6mvwP+CfwL/wCCjPwE17xB4o8E/D/TZ9X8TbPt17qd/o13OQrvKwRzqClBK77pAOHKoT90V6uWUaMuadVq62Tdk3/wDnrykrKP4H1Z8E/+CfGs6v4vj+Mv7XPiCTxr4qkkS5XSDM09nE6HcguZTjzljOMQRqkC42/vEOK+rf2pPh18A/i3oOheAvjp4rg8OQtqH27S4G1e10ue6uY0MH7sXAbzdonxhVOCw9RXxn/wmP8AwVv/AOhF0D/v/o//AMs69Z/aS/Ze+JP7VH7PngubxT9j0X4s+HLYXUkDOgsnublEF5bGSFplTeY0ZHRmQMgB+U7l3qc7rwnWqq2y5Wnb5diVblajH7+p9U6H+zT8A/D/AINXwFYeA9BbRhALeSKexhnlnAXbvmmdTLJKevmMxfPOa/LP9kbRT8E/+Cg3xA+DHgm4nl8KS2t8j25kMiRxwLFdW5fP3ntzI0AY/N87ZPJrvNI+MH/BUTRvD6+A5/hdYalrFvCLWPX7lImkYAFRK8i3y2cko6hsBCQCyNk59x/Yk/ZI8WfBrUfEHxi+Mt7HqPxE8Xq/2hUcTmxjuJfPuA8ynZJPPKFMhTKLsARmBJNK9CjV9tUUuZWSTvd9xfHKPKrWPhn9nfwE3/BQz47+OPiH8cdVv7nw94XaFrPQ4Z2hSOPUJJhbW0ZHMUMUdu3m+WFkkkwzNktu9L/bO/Yu+HXwC+G//C/vgDcal4O1fwleWbyxQX9xKHjup0tlkhllkeeOZJJUPEm0puBXPNXvEf7Nv7Uv7KHxs134sfsr2dv4r8M+JJZXutFnZXdI5XMxgngZ4GdYpCfIlgfzAvytgFt+V8QtB/b+/bQg0/4deMvB9l8N/BpuY7jUJpVe3SQwnKtMks0tzNsJ3RxIioXALkYDr2+1brRq0qiVJW0v06q3cy5VyuMo+9/XU+xfA37aXgPwz+zn8NPil8dNRm0288X2c0BmgsZ51nu9OcwTuVgR/L8wr5gGADk7eBXqHxs/ZJ+Bv7Rmq2nin4iaddXepW+nrYWl5Z301uUtg8kq7URvKY7pWILI3X04rzT4/wD7F+h/En9mjQ/gh4KuUsNQ8FxW7+Hru9ZtjzQRmORbkoCQtyrMXZVO1yGCkDaflDwb8UP+Cmvwr8NWfw1ufhbZ+Jn0yAWVhqt1H9pk8qL5Y/Nntb1IZAqABWYI5Ay5Y5NebTpQn+9ws+WV3o3bTpb5bm7k17tRXRxHwH0/xT+yL+3mn7OPhzXrzV/BPiQkta3LBiUuLJrmCZ0QCNbmF4wjyKq74wSQAQF/UrwJ8d/gz+0JeeL/AIbeFNQn1C50eKWw1y0ltrizZEnMltIqvIqbuVZSUJxwe4r49/ZL/ZP+L9v8Y7/9qX9py7jfxndrN/Z+nJKksltJcRm3aWYw5hQJbkxQxRswVG5wVArz/wCKv7Nf7S3wA/aF1j9oT9k+0t9esPFEtxPqeiSsjFHu2E1zFNDLLEZYJLgebGYJFkjPyYCjLb4lUMRV5XNc6itdk5LfX9SIc8I3tpfbyIf2q/8Agnv8Hvh78J9c+LHwem1PwzrfhCD+1UiN9JPbzJbsrNhpS00cyAbonSQfMMFTkFfsT9gz4q+Kvi9+zboPiPxrcSX2sWNxd6VPey/6y7W0fEcrk/efy2VXbqzKWPJNfDnxDH/BRf8Aaz0eP4X654IsPh94Yv5Ixqty26zSVIyHxO01xPcNEHUERwRZY4DFlzX6m/Af4QaL8CPhR4f+F2hzNdQ6PA3nXTjDXN1O7S3EpGTtDyuxVcnauFycZrLG1GsKqdealO91rey9SqS/ec0FZHr1FFFeIdQUUUUAFFFFABRRRQAUUUUAFFF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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 2,
     "metadata": {
      "image/jpeg": {
       "width": 400
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(\"hwimages/topnames.jpg\", width=400)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Student Action** Go to the above web page \n",
    "using Chrome, navigate to View->Developer->Inspect Elements.\n",
    "\n",
    "- Find where in the HTML that the \"topnames\" label for the table exists (not the tab, but in the content of the page proper).  Traverse \"up\" to the first `div` ancestor, and draw the subtree starting at that point, down to the point where you have included the label text, but only covering the first full subtree of the `div` (containing the label).\n",
    "\n",
    "- Find the `table` node within the overall tree, and then draw the subtee rooted at `table`.  You need only include the first two data-carrying rows of data.  You can also use abbreviations of your own choosing to make this less onerous."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false,
    "nbgrader": {
     "cell_type": "markdown",
     "checksum": "dfe4dd5de699664a6441e43623a814dd",
     "grade": false,
     "grade_id": "cell-155e43a99c73a830",
     "locked": true,
     "points": 2,
     "schema_version": 3,
     "solution": false,
     "task": true
    }
   },
   "source": [
    "**Q1** For submission, upload, with  your notebook, a  picture of your two drawings in answer to the  above."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reading from the web into an XML Element, using custom parser\n",
    "url = util.buildURL(\"/topnames.html\", \"datasystems.denison.edu\")\n",
    "response = requests.get(url)\n",
    "assert response.status_code == 200\n",
    "\n",
    "tree = etree.parse(io.BytesIO(response.content), htmlparser)\n",
    "root = tree.getroot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q2** Create in `xs` an XPath expression that (uniquely) \n",
    "finds the `div` that is the common ancestor of both the topnames label and the `table` containing the data.  Assign the node itself (not the list containing the node) to the variable `divroot` and use the `print_xml` with an `nlines` argument to show the first 20 lines of the tree."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "5d42fad427f0ca99e5fe9a686f69c88f",
     "grade": true,
     "grade_id": "cell-31ccac71984445de",
     "locked": false,
     "points": 1,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "xs = \"\"\n",
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q3**  Either using the `root` of the html tree, or from the `divroot` found above, assign to `xs` an XPath expression to get a list of the tables in the HTML, then execute the XPath and assign to the Python variable `table` the first such table.  Then use `print_xml` to make sure your understanding of the table tree matches your hand-drawn tree from earlier.  If you chose to start from `root`, would your expression be **guaranteed** to get the table you are interested in? Why or why not?  Comment in the following markdown cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "12d2e7acf6329c11110b18203c5c6b1b",
     "grade": true,
     "grade_id": "cell-ef671b123ea1744b",
     "locked": false,
     "points": 1,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "xs = \"\"\n",
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()\n",
    "util.print_xml(table, nlines=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Interpretation Solution Cell**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Programmatic Extraction\n",
    "\n",
    "#### List of Lists\n",
    "\n",
    "**Q4** Assign to `xs` an XPath expression that retrieves the names of the columns of the table, assigning to `col_names`.  Write your expression as an absolute one, working from the root."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "5404f81d8e996f298216cc88adf0e9f2",
     "grade": true,
     "grade_id": "cell-68a4cd2c00d8a69f",
     "locked": false,
     "points": 1,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "xs = \"\"\n",
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()\n",
    "print(col_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that if the HTML document had multiple tables, then the XPath expression above would match header cells from all `th` elements anywhere in the document, including ones in totally separate tables.  In such a case, we may have to make further assumptions about the structure of the HTML to uniquely find the desired table.  \n",
    "\n",
    "In the following, we will assume that the variable `table` refers to the correct table, and focus on extracting the data and transforming it into a data frame.\n",
    "\n",
    "A method from the textbook solves this problem by the following steps:\n",
    "\n",
    "1. Use XPath to retrieve a single list of the text property of all `td` nodes under the `tbody`.\n",
    "2. Using the knowledge that there are four fields per row, iterate over this single list and, by putting sequential sets of four elements into a row list, create a LoL representation of the data.\n",
    "3. Build the dataframe based on the LoL and the column names.\n",
    "\n",
    "In the following cells, we ask you to reproduce that method.  Use your textbook if you  need  help."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q5** In the following cell, use XPath on  `table` to obtain a single list of the text of all the `td`-tagged nodes.  Assign the result to `tdlist`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "e8b4f17c387b157aaf7c69400f6f888b",
     "grade": true,
     "grade_id": "cell-9c9048a25bbb6592",
     "locked": false,
     "points": 1,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()\n",
    "print(len(tdlist))\n",
    "print(\"td list prefix:\", tdlist[0:10])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q6** Create an  empty  list, `LoL`, and a counter variable. Then write a  for-loop that iterates over `tdlist` and, if the counter is zero, create a new empty  row list.  Add the current td item to the list, and then, conditionally, increments the counter if there are more fields to be accumulated into the row list, and resets the counter to zero if a row is complete.  When a row is complete, the row should be appended to the `LoL`.\n",
    "\n",
    "Upon completion, LoL should be a list of row lists with string versions of the data for each row."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "58f87168d4b11871c7568c1060a526a6",
     "grade": true,
     "grade_id": "cell-02a79f605526bfc9",
     "locked": false,
     "points": 2,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "LoL = []\n",
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()\n",
    "LoL[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q7** Finally, use our standard techniques for turning the  list of lists into a `pandas` data frame, setting the index to the combination of year and sex, and assigning the result to variable `df`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "deaf9a171e82b464ff31d273fda856ae",
     "grade": true,
     "grade_id": "cell-ef9540dd1070bcb4",
     "locked": false,
     "points": 1,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "# Turning the LoL into a dataframe\n",
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Dictionary of Column Lists\n",
    "\n",
    "A perhaps simpler solution involves using the regularity of the columns in a table (be it in HTML or other regular table form).  Within each `tr`, the **position** of each of the `td` elements for the four fields in this table is always the same, regardless of row.  So at position 1 within all the rows, we always have the year, at position 2, we always have the sex, and so forth."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q8** Assign to `xs` an XPath expression that retrieves, relative to `table`, the text property for all `td` elements under a `tr` where the `td` is the position 1 child of the `tr`.  Execute the xpath on `table` and assign the result to variable `year_vector`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "267f3b58a2d62fccab066fa843b340e0",
     "grade": true,
     "grade_id": "cell-df631f45510f24ea",
     "locked": false,
     "points": 1,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "xs = \"\"\n",
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()\n",
    "print(len(year_vector))\n",
    "print(\"year vector prefix:\", year_vector[:10])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We could do this four times, with different values for the position, creating four vectors and then constructing the dictionary.  Instead, we want to use Python string formatting to \n",
    "dynamically create an xpath that retrieves the `td` at a position given by a variable, and then traverses to the text attribute.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q9** Assign to `xs_template` a Python string using `{}` in place of the position from your solution above, so that the testing code shows its use by obtaining the four data columns from the table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "4c2376ae8d382c4177f0a4fc79448a24",
     "grade": true,
     "grade_id": "cell-2dba3d6ffed57fcb",
     "locked": false,
     "points": 1,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "xs_template = \"\"\n",
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()\n",
    "years = table.xpath(xs_template.format(1))\n",
    "print(years[:8])\n",
    "sexes = table.xpath(xs_template.format(2))\n",
    "print(sexes[:8])\n",
    "names = table.xpath(xs_template.format(3))\n",
    "print(names[:8])\n",
    "counts = table.xpath(xs_template.format(4))\n",
    "print(counts[:8])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q10** Starting with an empty dictionary, `DoL`, we want create a for loop that, at each iteration, allows us to define a `position` and a `columnname`.  The position should be used to format an appropriate xpath to get the set of column values at that position (like we did without a loop in the last question).  The  xpath should be executed, and the resultant list assigned to a dictionary entry whose key is the column name.  Fill in the above-described loop."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "29675f815f0f3ca01b108d1703cfa952",
     "grade": true,
     "grade_id": "cell-3f2c606502df2603",
     "locked": false,
     "points": 2,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## POST Example\n",
    "\n",
    "### Discovery\n",
    "\n",
    "Consider the web page at https://ww2.energy.ca.gov/almanac/transportation_data/gasoline/margins/index_cms.php\n",
    "\n",
    "We can infer from a PHP page, often with a `php` extension, that the page is a dynamic one, that, on an HTTP request, will respond to the request by dynamically generating the HTML content.  PHP is a scripting language that lets a server execute code instead of serving up static content.\n",
    "\n",
    "On the given page, navigate toward the bottom of the page where you will find a `Select Year` drop down and a button labeled `Get different year`, and pick the year you were born, or 1999 if you were born earlier than 1999, and then click the `Get different year` button.\n",
    "\n",
    "The two GUI elements of the drop-down and the submission button consistute what, in HTML, is called a **form** (albeit, one of the simplest forms one might imagine).\n",
    "\n",
    "The way that a PHP or other dynamic resource path at a web server obtains the information for processing is via the client making a **POST** request.  The request includes information in the **body** of the request that passes, from client to server, the information needed to do the dynamic generation.  ... otherwise, the page would simply be static.\n",
    "\n",
    "In this case, by making a year choice and clicking the submission button (`Get different year`), the web browser makes a POST request and formats the body with the form data.  We need our web scraping client applications to be able to perform the same way."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q11** Go to the above web page using Chrome, follow the instructions, and answer any questions in the Markdown cell that follows.\n",
    "\n",
    "- navigate to View->Developer->Developer Tools\n",
    "- In the Tools window, select the `Network` tab\n",
    "- In the window showing the web page itself, navigate to near the bottom and repeat your earlier action of selecting a year and then clicking the `Select different year` botton.\n",
    "    - This action should result in a set of entries appearing in the Network window.  The first of these in the `Name` subwindow, should be labeled `index_cms.php`\n",
    "- Click on that first entry, `index_cms.php`\n",
    "    - The lower window will subdivide, and you shoud see sub-tabs with names `Headers`, `Preview`, `Response`, etc.\n",
    "- Click on the `Headers` sub-tab\n",
    "- Make sure the `Request Headers` and the `Form Data` elements under `Headers` are expanded and the others are collapsed.\n",
    "- Click the `view source` next to the `Request Headers` element:\n",
    "    - Find the HTTP request line.  Do you recognize the syntax?\n",
    "    - What does the `Content-length` header line tell you?\n",
    "    - How about the `Content-type` header?\n",
    "    - Are these headers formed by the client or by the server?\n",
    "- Now examine the `Form Data` element:\n",
    "    - what are the key-value pairs?\n",
    "    - Now click on the `view source`\n",
    "    - Where, in an HTTP request, would this information be placed?\n",
    "    - Click back on the `view parsed` to get back to the key-value view\n",
    "    - Toggle back and form between `view URL encoded` and `view decoded`; what is the difference?  Which of these two is used in the `view source` view?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "markdown",
     "checksum": "8108447f6571599e84e99baf1467c2af",
     "grade": true,
     "grade_id": "cell-4a966d1083f36a85",
     "locked": false,
     "points": 2,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "source": [
    "YOUR ANSWER HERE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q12** In the following cell, after my provision of the necessary url elements as Python variables, create a url and then issue a  GET request. Process the result into an XML tree.  By the conclusion of your cell, you should assign to `root` the root of the HTML tree."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "9054127a99a9c67a512fd1ec0501ecc3",
     "grade": true,
     "grade_id": "cell-5b89e0d681fd8274",
     "locked": false,
     "points": 1,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "protocol = \"https\"\n",
    "location = \"ww2.energy.ca.gov\"\n",
    "resourcepath = \"/almanac/transportation_data/gasoline/margins/index_cms.php\"\n",
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()\n",
    "util.print_xml(root, nlines=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we use Developer Tools (or View Source) we can find the form that contains the year drop-down and the submit button labeled `Get different year`.  We want to examine that `form` subtree within our HTML.\n",
    "\n",
    "**Q13** Assign to `xs` an Xpath string that finds the `form` node where the `action` attribute is set to the page's PHP of `index_cms.php`.  Execute the xpath and set `form` to the first element of the result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "f4d2104bebc7cfe75e646926780fd782",
     "grade": true,
     "grade_id": "cell-05bc5b6bbd01ba16",
     "locked": false,
     "points": 1,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "xs = \"\"\n",
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()\n",
    "util.print_xml(form)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Observations and Conclusions\n",
    "\n",
    "1. A GET to this resource path results in an HTML page with multiple (weekly) tables, each of which has data of interest.\n",
    "2. The page has a form element, whose `method` attribute is `\"post\"`.  That means that, when the embedded form is \"filled out\" and the user submits the form, an HTTP POST is the result:\n",
    "    - The `action` attribute of the form determines the resource path, relative to the current location, for the URI/resource path needed in the HTTP POST\n",
    "    - The \"form\", in this case, just consists of a dropdown list, whose entries are given by the sequence of `option` nodes, and whose values are the possible years.  The key for this field is called `year`, as given in the `select` node.  The value will be one of the year values.\n",
    "    - The `input` node determines the submission of the form.  In this case, when the user clicks the `\"Get different year\"`, the form will be submitted and, in addition to the key=value items from the form items, the `name` of the `input` attribute, `newYear` will be mapped to the `value` of \"Get different year\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Emulating an Interactive Form-Based POST\n",
    "\n",
    "We use an HTTP POST to convey information from the client to the server.  The information conveyed is in the $\\textit{body}$ of the request.  So, in contrast to most earlier examples, we need to change two things in using the `requests` module to make this request:\n",
    "\n",
    "1. We must invoke a POST request instead of a GET request.\n",
    "2. The request must include a body that consists of key-value pairs.\n",
    "\n",
    "For (1), the `requests` module has a `post` top level function.  For (2), we construct a *dictionary* with the desired mappings.  We pass that to the `post()` using named parameter `data`.  The requests module is very flexible in how it interprets an argument provided through `data`.  If it is a string, it simply puts the encoded bytes of the string in the body.  If it is a dictionary, it interprets it and generates a URL-encoded version, as we will see below:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q14** Using the *same* URL as the GET above, make a POST request to this site with the body of the post request specified in a dictionary that maps `year` to the desired year of data, and the `newYear` key mapped to the string `\"Get different year\"`.  This emulates the request observed from Chrome.\n",
    "\n",
    "Assign to `response` the result of the request, and be sure to check for a successful status code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "e78bd072979a7125361de03526107256",
     "grade": true,
     "grade_id": "cell-73aba2bab6bf685e",
     "locked": false,
     "points": 1,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q15** In the following code cells, we obtain the HTTP request through the response, and then print the value of the POST request body.  In the markdown cell following, write a couple sentences explaining exactly why the format is what it is, and how the request headers relate to the body."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "request = response.request\n",
    "print(request.headers)\n",
    "print()\n",
    "print(request.body)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "markdown",
     "checksum": "a6af223fd44dc29a6d09cf87dedfb623",
     "grade": true,
     "grade_id": "cell-43e8388536c7b82a",
     "locked": false,
     "points": 2,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "source": [
    "YOUR ANSWER HERE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Processing the Data in the HTML Tree\n",
    "\n",
    "In the result, there is a **table per week**.  Since this practicum and homework are long enough, I will not ask you to extract data from that set of tables.  But extracting data from multiple tables should be well within your skills at this point, and I encourage you to try your hand at it here."
   ]
  }
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