{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Практическое задание 1\n",
    "\n",
    "На примере анализа и перепроектировании модели визуализации рассмотрим инфографику, представленную в отчёте Программы международной оценки (Pisa) за 2012 год. Данная инфографика, представлена на рисунке 1. Она показывает результаты прохождения детьми 15-ти лет из различных стран и регионов тестов по математике, навыкам чтения и естественным наукам. \n",
    "\n",
    "<center>\n",
    "<img src=\"./initial.png\" />\n",
    "\n",
    "Рисунок 1. Результаты Pisa 2012 - как соотносятся результаты по странам и предметам\n",
    "</center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x1169 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%reset -f\n",
    "\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "subjects = [\"Maths\", \"Reading\", \"Science\"]\n",
    "\n",
    "data = pd.read_csv(\"./practice1.csv\", names=[\"country\", *subjects])\n",
    "\n",
    "country_codes = pd.read_csv(\"./country_codes.csv\", names=[\"country\", \"code\"])\n",
    "\n",
    "data = data.merge(country_codes, how=\"outer\", on=\"country\")\n",
    "\n",
    "data = data.dropna(subset=subjects)\n",
    "\n",
    "data[\"Average of three subjects\"] = data.loc[:, subjects].mean(axis=1)\n",
    "\n",
    "data = data.sort_values(by=\"Average of three subjects\", ascending=False, ignore_index=True)\n",
    "\n",
    "data.to_csv(\"res.csv\", index=False, header=False)\n",
    "\n",
    "if data[data[\"code\"].isna()].size != 0:\n",
    "    raise ValueError(\"NaN country code\")\n",
    "\n",
    "fig, ax = plt.subplots(nrows=4)\n",
    "\n",
    "fig.set_size_inches(16, 11.69)\n",
    "\n",
    "# colors=(\"#ef476f\", \"#ffd166\", \"#06d6a0\", \"#118ab2\", \"#073B4C\")\n",
    "\n",
    "colors=(\"tab:blue\", \"tab:orange\", \"tab:green\", \"tab:red\", \"tab:grey\")\n",
    "\n",
    "for i, subj in enumerate((*subjects, \"Average of three subjects\")):\n",
    "    sdata = data.sort_values(by=subj, ascending=False, ignore_index=True)\n",
    "    positions = np.array([str(sdata[sdata[\"code\"] == code].index[0]+1) for code in data[\"code\"]])\n",
    "\n",
    "    x = data[\"code\"] + \"\\n\" + positions\n",
    "\n",
    "    bar = ax[i].bar(x, data[subj], color=colors[i])\n",
    "\n",
    "    bar_labels = list(map(lambda j: str(int(data[subj][data.index[j]])) if data[\"code\"][data.index[j]] == \"UK\" else \"\", range(len(data.index))))\n",
    "\n",
    "    ax[i].bar_label(bar, labels=bar_labels, weight=\"bold\", padding=5)\n",
    "\n",
    "    ax[i].set_title(subj)\n",
    "\n",
    "    ax[i].set_ylabel(\"Score\")\n",
    "\n",
    "    ax[i].autoscale(tight=True)\n",
    "\n",
    "    ax[i].set_ylim(350)\n",
    "\n",
    "    mean = int(data[subj].mean())\n",
    "\n",
    "    ax[i].set_yticks(list(set((*ax[i].get_yticks(), mean, 650))))\n",
    "\n",
    "    ax[i].xaxis.set_tick_params(labelbottom=True)\n",
    "\n",
    "    for label in ax[i].get_xticklabels():\n",
    "        if \"UK\" in label.get_text():\n",
    "            label.set(fontweight=\"bold\")\n",
    "\n",
    "    for label in ax[i].get_yticklabels():\n",
    "        if label.get_text() == str(mean):\n",
    "            label.set(fontweight=\"bold\")\n",
    "            label.set_text(f\"avg: {mean}\")\n",
    "\n",
    "    ax[i].hlines([mean], 0, 1, transform=ax[i].get_yaxis_transform(), color=colors[-1], label=\"Average score for subject\")\n",
    "\n",
    "    ax[i].spines['top'].set_visible(False)\n",
    "    ax[i].spines['right'].set_visible(False)\n",
    "\n",
    "ax[0].legend()\n",
    "ax[-1].set_xlabel(\"Country code (ISO 3166-1) and overall average ranking\")\n",
    "\n",
    "fig.suptitle(\"Pisa 2012 test scores\", x=0.52)\n",
    "plt.figtext(0.01, 0.014, \"Source: OECD, PISA 2012 DATABASE\")\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "for i in range(3):\n",
    "    ax[i].text(-3, 295, \"Ranking\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reset -f\n",
    "\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "subjects = [\"Maths\", \"Reading\", \"Science\"]\n",
    "\n",
    "data = pd.read_csv(\"./practice1.csv\", names=[\"country\", *subjects])\n",
    "\n",
    "country_codes = pd.read_csv(\"./country_codes.csv\", names=[\"country\", \"code\"])\n",
    "\n",
    "data = data.merge(country_codes, how=\"outer\", on=\"country\")\n",
    "\n",
    "data = data.dropna(subset=subjects)\n",
    "\n",
    "data[\"Average of three subjects\"] = data.loc[:, subjects].mean(axis=1)\n",
    "\n",
    "data = data.sort_values(by=\"Average of three subjects\", ascending=False)\n",
    "\n",
    "data.to_csv(\"res.csv\", index=False, header=False)\n",
    "\n",
    "if data[data[\"code\"].isna()].size != 0:\n",
    "    raise ValueError(\"NaN country code\")\n",
    "\n",
    "fig, ax = plt.subplots(ncols=4)\n",
    "\n",
    "fig.set_size_inches(16, 11.69)\n",
    "\n",
    "positions = np.array(list(map(str,range(1, len(data.index)+1))))\n",
    "\n",
    "x = data[\"code\"] + \" \" + positions\n",
    "\n",
    "# colors=(\"#ef476f\", \"#ffd166\", \"#06d6a0\", \"#118ab2\", \"#073B4C\")\n",
    "\n",
    "colors=(\"tab:blue\", \"tab:orange\", \"tab:green\", \"tab:red\", \"tab:grey\")\n",
    "\n",
    "for i, subj in enumerate((*subjects, \"Average of three subjects\")):\n",
    "    bar = ax[i].barh(x[::-1], data[subj][::-1], color=colors[i])\n",
    "\n",
    "    bar_labels = list(map(lambda j: str(int(data[subj][data.index[j]])) if data[\"code\"][data.index[j]] == \"UK\" else \"\", range(len(data.index))))\n",
    "\n",
    "    ax[i].bar_label(bar, labels=bar_labels, weight=\"bold\", padding=5)\n",
    "\n",
    "    ax[i].set_title(subj)\n",
    "\n",
    "    ax[i].set_ylabel(\"Country code (ISO 3166-1) and ranking\")\n",
    "    ax[i].set_xlabel(\"Score\")\n",
    "\n",
    "    ax[i].autoscale(tight=True)\n",
    "\n",
    "    ax[i].set_xlim(350)\n",
    "\n",
    "    mean = int(data[subj].mean())\n",
    "\n",
    "    ax[i].set_xticks((*range(350, 650+1, 100), mean))\n",
    "\n",
    "    for label in ax[i].get_yticklabels():\n",
    "        if \"UK\" in label.get_text():\n",
    "            label.set(fontweight=\"bold\")\n",
    "\n",
    "    for label in ax[i].get_xticklabels():\n",
    "        if label.get_text() == str(mean):\n",
    "            label.set(fontweight=\"bold\")\n",
    "            label.set_text(f\"avg: {mean}\")\n",
    "\n",
    "    ax[i].vlines([mean], 0, 1, transform=ax[i].get_xaxis_transform(), color=colors[-1], label=\"Average score of this subject\")\n",
    "\n",
    "    ax[i].spines['top'].set_visible(False)\n",
    "    ax[i].spines['right'].set_visible(False)\n",
    "\n",
    "ax[0].legend()\n",
    "\n",
    "fig.suptitle(\"Pisa 2012 test scores\")\n",
    "plt.figtext(0.01, 0, \"Source: OECD, PISA 2012 DATABASE\")\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "indexes = (*range(5), *range(18, 23), *range(60, 65))\n",
    "countries = [data[\"country\"][data.index[i]] + '\\n' + str(i+1) + (\"st\" if (i%10==0 and i!=10) else \"nd\" if (i%10==1 and i!=11) else \"rd\" if (i%10==2 and i!=12) else \"th\") for i in indexes]\n",
    "tests = {subj: [data[subj][data.index[i]] for i in indexes] for subj in subjects}\n",
    "\n",
    "fig, ax = plt.subplots(constrained_layout=True)\n",
    "\n",
    "fig.set_size_inches(19, 5)\n",
    "\n",
    "x = np.arange(len(countries))\n",
    "width = 0.25\n",
    "\n",
    "for i, subj in enumerate(subjects):\n",
    "    offset= width*i\n",
    "    bar = ax.bar(x+offset, tests[subj], width, label=subj)\n",
    "    ax.bar_label(bar, padding=3)\n",
    "    \n",
    "    # ax.plot((0, x[-1]*width*4+width*2), [data[subj].mean()]*2, color=colors[i], linewidth=3, label=subj+\" average\")\n",
    "\n",
    "ax.legend()\n",
    "\n",
    "ax.set_title(\"Pisa 2012 test scores\", pad=10)\n",
    "\n",
    "ax.set_xticks(x+width, countries)\n",
    "ax.set_xlabel(\"Country and its ranking sorted by average of three subjects\")\n",
    "\n",
    "for label in ax.get_xticklabels():\n",
    "    if \"UK\" in label.get_text():\n",
    "        label.set(fontweight=\"bold\")\n",
    "\n",
    "ax.autoscale(tight=True)\n",
    "ax.set_ylim(350)\n",
    "\n",
    "ax2 = ax.secondary_xaxis('top')\n",
    "ax2.set_xticks(np.arange(3)*5+width*9, [\"Top of the class\", \"UK\", \"Need to work\"])\n",
    "ax2.tick_params(top=False)\n",
    "ax2.set_frame_on(False)\n",
    "\n",
    "ax.get_yaxis().set_visible(False)\n",
    "ax.spines[['left', 'top', 'right']].set_visible(False)\n",
    "\n",
    "ax.vlines([i+width*3 for i in (4, 9)], 0, 1, transform=ax.get_xaxis_transform(), linestyles='dashed', colors='#b0b0b0', linewidth=0.5)\n",
    "\n",
    "plt.figtext(0.013, 0, \"Source: OECD, PISA 2012 DATABASE\")\n",
    "\n",
    "fig.tight_layout()"
   ]
  }
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