bachelorThesis/figure_7/figure_7.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "black-funeral",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import sys\n",
    "import glob\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "hawaiian-cabin",
   "metadata": {},
   "outputs": [],
   "source": [
    "DIR = \"/home/claudio/hdd/git/bachelorThesis/figure_7/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "c5d455be-278f-43e7-b98a-0d460be1328a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def categorical_plot(df, key, title, sorted_xs = None):\n",
    "    if sorted_xs == None:\n",
    "        xs = set()\n",
    "        lines = []\n",
    "        for t in [4,5,6,7,8]:\n",
    "            xs = xs.union(np.array(df[df.term == t][key]).reshape(-1))\n",
    "        xs = [str(x) for x in sorted(xs)]\n",
    "    else:\n",
    "        xs = sorted_xs\n",
    "        \n",
    "    plt.figure(figsize=(10,8))\n",
    "    ax = plt.gca()\n",
    "    lines = []\n",
    "    for t in [4,5,6,7,8]:\n",
    "        ys = []\n",
    "        for x in xs:\n",
    "            partsum = df[(df.term != -1) & (df[key] == (int(x) if key == \"priority\" else x))][\"count\"].sum().astype(int)\n",
    "            y = df[(df.term == t) & (df[key] == (int(x) if key == \"priority\" else x))][\"count\"]\n",
    "            ys.append((y.values.astype(int)[0] / partsum if partsum > 0 else y.values.astype(int)[0]) if y.any() else 0)\n",
    "        lines.append(ax.plot(xs,ys, marker='.')[0])\n",
    "\n",
    "    plt.xticks(xs)\n",
    "    plt.legend(lines, [\"EVICT\", \"FAIL\", \"FINISH\", \"KILL\", \"LOST\"],\n",
    "              bbox_to_anchor=(1,1))\n",
    "    plt.title(title)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "d79f5580-3b46-40e5-863f-a40a3b325e72",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAp0AAAHiCAYAAACqSXe3AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAAB/T0lEQVR4nO3dd3hTZRsG8PtJ0r1oaSkFyt4bKQhunIiADFmyBQERBVEE2VNA9lBBkI2AyhBQBEX9lE2RIRtkFWjp3jt5vz+SYiktFEh6Ou4fVy6SM++cZjx5z3nPEaUUiIiIiIhsSad1ACIiIiIq/Fh0EhEREZHNsegkIiIiIptj0UlERERENseik4iIiIhsjkUnEREREdkci066i4jEi0hFrXPcj4j8ISJ9tc5hKyKyQ0R65tG6TonIc3mxrvvk2CsiDR5y3kfeXiLSSkQ2PMoyKG+JSH8RmZuL6VaIyOQ8iGRVInJIRGppnYPIGlh0FmEickVEkixFZsatlFLKVSl1KR/kG5klW5KImETE2wrLfs6yrPgst6bWyP4QecaLyJrMw5RSryqlVtpgXXd9+Sqlaiml/rD2uh6EiLQCEKeUOvow81tjeymltgGoJSJ1H2U5D6Kg/HiyfF68aOVlPtJzFxF7AKMBzLBeqnuu7zkRuZ4X68pkJoCJebxOIptg0UmtLEVmxu2mrVYkIoYHmV4p9WnmbACmA/hDKRVupUg3szx3V6XUfistmx7cAACrtQ4BYB2AfrZa+IO+DwqqPHqerwM4q5S6kQfremQPuU22AmgmIiWtnYcor7HopLuIiBKRypb7xUVkm4jEishhEZksInss48pbpjVkmvd2y4WI9LLsLp0jIhEAxouIg4jMFJFrInJLRBaJiFMuMgmAHgCytmRVsux+ihWRH0TEywrP30tErlta3iAiriJyUUR6WB5XF5FfRCRSRM6JSMdM8zqJyCwRuSoiMSKyxzLsrhaSjJYjEWkOYCSATpbW1uOW8Zm3pU5ERluWGyoiq0TEwzIu4+/Q07Jdw0VkVA7PrR+ArgA+tqxrW+YslvvjReQ7EVkjInEi8o+IVBWRTyzrDhKRlzMt00NEvhaRYBG5YXmN6C3jKovI/yzbIlxy2HVtabF6HsD/Mg170BxZX3t7LK+1KBG5LCKvZpq2l4hcsiz3soh0zRTnDwCv5ZCzd8Y2szy+ICLfZXocJCL1s8xz1/sg07gpAJ4GsNDy91iY3XqzyfGWiJyxPLedIlLOMvxLEZmZZdofRGSo5X4pEdkoImGW5/1+punGi8i3ltdWnJgPuQiwjFsNoCyAbZacH2eT6Tkxv2+Gi0gIgOUi4iki2y3ri7LcL3Ov5y73eH9l41Vkes1Y5n9KRPaJSLTl79Erm6y9xPI5lmlY5s+9FiJy2rIdbojIRyLiAmAHgFKSac+QmN+bI0TkXxGJsGxDL8tyMt6bfUTkGoDfsnsSItJSRI5ZMu+TTC3tSqlkAEcAvHKP7UBUMCileCuiNwBXALyYzXAFoLLl/nrLzRlATQBBAPZYxpW3TGvINO8fAPpa7vcCkA7gPQAGAE4A5sD8y90LgBuAbQCm5iLrMwDiAbhmWdcNALUBuADYCGBNpvEnALyZw/KeA3D9Hut7GUAIgBIAlgD43jLcxbINelueUwMA4QBqWsZ/bslVGoAewBMAHLJbX+btD3MhsibL+Mzb8i0AFwFUBOAKYBOA1Vn+Dkss27gegBQANXJ4bisATL5PlmSYv+QMAFYBuAxgFAA7AG8DuJxp3s0AFlu2TQkAhwD0t4xbZ5lPB8ARwFM5ZKoFICHLsAfNkXl79QKQZplGD+AdADcBiCVnLIBqlmn9ANTKtBwvy/Z0zyZnRQDRludTCsDVjL+rZVwUAF2WeXohy/sgp79zLt+3r1teCzUsyxsNYF+m90kQALE89gSQZMmqg7l4GQvA3pL3EoBXsmzvFpZtNhXAgft9XmR5T6XDvEfCAebXYnEA7WH+/HAD8B2ALTk9d9zn/ZXNOg8D6JDpcTkAcQC6WF4jxQHUz/q6t/xN9tzjcy8YwNOZtuFjOX1uABgM4ACAMpbnvRjAuizvzVWW5+aUzXNoACAUwOOW7d7Tsq0dMk0zH8Ds3L5GeOMtv97Y0klbLL+uo0VkS+YRltaq9gDGKaUSlVKncXdL4/3cVEotUEqlw/yF1g/AB0qpSKVUHIBPAXTOxXJ6wlz4xWcZvlopdVIplQBgDICOGa1sSqm6Sqlv7rHMUpmee8bNxTLvLpi/IHfD/CXc3zJPSwBXlFLLlVLpynz84UYAHUREB3NxOFgpdUMpZVRK7VNKpeTi+d1PV5i/dC5ZtsEnADrLnbvrJiilkpRSxwEch7n4fFh/KaV2Wv5u3wHwATBNKZUG84+Q8iJSTER8Yd4+Q5RSCUqpUJh/WGT8TdNgLgRKKaWSlVJ77l4VAKAYzMXCQ+XIYZlXlVJLlFJGmF+3fgB8LeNMAGqLiJNSKlgpdSrTfBk57lquMh/rHAegPswF3k4AN0WkOoBnLXlN2WS5/T5QSiXlkDe3BsD8Q+2MZbt8CqC+pbXzL5iLnKct074BYL8yHzbTCICPUmqiUirV8lyW4M733x6l1E+WbbYaD/4aMsH8eZFieS1GKKU2Wj4/4gBMgXk75STH91cO0xfDna+bNwH8qpRap5RKs6z/2AM+B8D8uq0pIu5KqSil1N/3mHYAgFFKqeuW9/p4AG9keW+Ot7w/svvb9wOwWCl10PKZsRLmH41NMk0Th2xej0QFDYtOaqOUKma5tckyzgfm1oagTMOC8GAyT+8Dc4vHkYwiD8DPluE5EhFnmL90sit4My//KsytG7ntaHQz03PPuCVkGv8VzK2oK5RSEZZh5QA8nrlQhbkgLGlZryOAf3O5/geR0aqW4SrMfxvfTMNCMt1PhLlF9GHdynQ/CUC4pRDJeAzL8svBvM2DM22PxTC3eALAxzC3Lh6y7K59K4f1RcHcEvawObJze3sopRIzprX8jTvBXCwEi8iPlqIxQ0aO6ByW+z+YW7yesdz/A+ZC6llk2dWbyYO+b+6lHIB5mbZ3JMzbuLRSSsFcjHexTPsmgLWZ5iuV5bU7Evd+DTnKgx2HGKbMu4MBmN+7IrJYzIeFxAL4E0CxjB+GOTy3nN5f2cn6uvGHdd5/7WH+MXVVzIeH3KuDYTkAmzPlPQPAiDu3673+/uUAfJjlOfvD/J7P4IacX49EBQaLTrqXMJh3l5XJNMw/0/2MAs0507CsXw4q0/1wmAuFWpmKPA9l7iR0L21h/mL9I5txmfOUhbmF4pE7Glm+FL+CebfYwIxjvWD+8vhflkLVVSn1jmW9yQAqZbPIBGTaTpblZy621V1z3OkmzF9OGcrC/Le5lf3k93S/dT2IIJhbZbwzbQ93pVQtAFBKhSil3lZKlYK5tfiLTNsys4swH7pb2orZcmRpPX0J5tbPszC3+GWoAXNrW2wOs2cUnU9b7v8P9y8677XNH/TvEQTz4QuZX4NOSql9lvHrYG5pKwfzLtuNmea7nGU+N6VUi1yuNzc5s07zIYBqAB5XSrnDXKgD5iI5u+nv9f7KzgkAVbPMn937L6us78c7PreUUoeVUq/D/ONpC4Bvc8ibsc5Xs2R2VHd2brrXtgsCMCXL/M5KqXWZpqkB894LogKNRSflyNKitAnmDkDOltagHpnGh8F8TGU3EdFbWrFy/MC37HZcAmCOiJQAABEpLSL3O0C+J4BVllacrLqJSE1La+hEmHfBG7OZ7kGNhPmL4i2YT8eyylIobgdQVUS6i4id5dZIRGpYnt8yALMtHQz0ItJURBwAnIe51eg1EbGD+Tg8h0zruwXzruKc3pPrAHwgIhVExBXmXaobLLtXH9QtmI/ne2RKqWAAuwDMEhF3S6eKSiLyLACISAexdByBuVVKwbwLNutyUgH8invverUKEfEVkdcth1KkwHyscOZMz8LcYSQn/wPQDObj867DvEu7OczHDz7M6Z4e9O+xCMAnYjl3o5g7ct3e/WzZJR0OYCmAnUqpaMuoQwDixNzRx8ny+qwtIo1slBMwt9AlAYi2dK4
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAp0AAAHiCAYAAACqSXe3AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAAB0X0lEQVR4nO3dd3hUZdoG8PuZkl5IIwkQQEroTUITwa6ACiqIXUHB3t1ddRVFlHX3U3etuwpIFSsgIoLYG01C76HXhPTeprzfH+ckTEIazExOyv27rmFmTn3mZGa4531PEaUUiIiIiIi8yWR0AURERETU9DF0EhEREZHXMXQSERERkdcxdBIRERGR1zF0EhEREZHXMXQSERERkdcxdFKVRCRfRDoYXUdtROQXEZlkdB3eIiIrReSuelrXThG5uD7WVUsdq0Wk3znO6/b2EpFrReQzd5ZB9UtE7hORN+sw3VwReaUeSjprIvKAiJzSv3ujRWSPiEQZXReRJzF0NnMiclhEivQvurJbK6VUkFLqYAOo7++VaisSEaeIRHpg2Rfry8qvdBviidrPoZ6pIvKR6zCl1Eil1DwvrOuM/3yVUj2UUr94el1nQ0SuBZCnlNp8LvN7Ynsppb4G0ENEeruznLPRWH486d8Xl3t4mW69dhHxAfA8gNc8V1WN67tYRI57eJlWAP8GcKX+3XsKwGwAz3hyPURGY+gkALhW/6Iru5301opExHI20yul/uFaG4B/AfhFKZXuoZJOVnrtQUqptR5aNp29+wEsMLoIAJ8AuNdbCz/bz0FjVU+vcwyAPUqpE/WwLrdVs02iAfgB2Oky7GMAd4mIb70URlQPGDqpSiKiRKST/jhCRL4WkVwR2SAir4jIH/q49vq0Fpd5y1suRGSC3l36HxHJADBVRHxF5HUROap3J70vIv51qEkA3AmgcktWRxH5U6/vKxEJ98DrDxeR43rLG0QkSET2i8id+vOuIvK9iGSKyF4RGe8yr7+IvCEiR0QkR0T+0Ied0UJS1nIkIiMA/B3ATXpr61Z9vOu2NInI8/pyU0VkvoiE6uPK/g536ds1XUSeq+a13QvgNgB/09f1tWst+uOpIvKFiHwkInkisl1E4kXkWX3dx0TkSpdlhorIhyKSLCIn9PeIWR/XSUR+1bdFulTTda23WF0K4FeXYWdbR+X33h/6ey1LRA6JyEiXaSeIyEF9uYdE5DaXcn4BcHU1dU4s22b6830i8oXL82Mi0rfSPGd8DlzGTQcwDMC7+t/j3arWW0Udd4vIbv21rRKRdvrw/4nI65Wm/UpEntQftxKRxSKSpr/uR12mmyoin+vvrTzRdrlI0MctANAWwNd6nX+roqaLRfvcPC0iKQDmiEiYiCzX15elP25T02uXGj5fVRgJl/eMPv+FIrJGRLL1v8eEKmqdIPr3mMsw1++9USKyS98OJ0TkLyISCGAlgFbi0jMk2mfzGRE5ICIZ+jYM15dT9tm8R0SOAvip0jrjAezVn2aLyE8AoJQ6DiALwOAaXjtR46KU4q0Z3wAcBnB5FcMVgE7640/1WwCA7gCOAfhDH9den9biMu8vACbpjycAsAN4BIAFgD+A/wBYBiAcQDCArwG8WodahwPIBxBUaV0nAPQEEAhgMYCPXMZvA3BrNcu7GMDxGtZ3JYAUAC0BzASwSB8eqG+Difpr6gcgHUB3ffx7el2tAZgBXADAt6r1uW5/aEHko0rjXbfl3QD2A+gAIAjAEgALKv0dZurbuA+AEgDdqnltcwG8UkstxQCu0l/jfACHADwHwApgMoBDLvN+CeADfdu0BPAngPv0cZ/o85mgteZcWE1NPQAUVBp2tnW4bq8JAGz6NGYADwA4CUD0OnMBdNGnjQXQw2U54fr2DKmizg4AsvXX0wrAkbK/qz4uC4Cp0jwTUOlzUN3fuY6f2zH6e6GbvrznAaxx+ZwcAyD68zAARXqtJgAbAbwAwEev9yCAqypt71H6NnsVwLravi8qfabs0HokfKG9FyMAjIX2/REM4AsAS6t77ajl81XFOjcAuNHleTsAeQBu0d8jEQD6Vn7f63+TP2r43ksGMMxlG55f3fcGgMcArAPQRn/dHwD4pNJnc77+2vyreA1l01gqDV8G4NG6vi94462h39jSSQCwVG8RyBaRpa4j9NaqsQBeVEoVKqV24cyWxtqcVEq9o5SyQ/sP7V4ATyilMpVSeQD+AeDmOiznLmjBL7/S8AVKqR1KqQIAUwCML2tlU0r1Vkp9XMMyW7m89rJboD7vd9D+g/wR2n/C9+nzXAPgsFJqjlLKrrT9DxcDuFFETNDC4WNKqRNKKYdSao1SqqQOr682twH4t1LqoL4NngVws1TsrntJKVWklNoKYCu08HmufldKrdL/bl8AiALwT6WUDdqPkPYi0kJEoqFtn8eVUgVKqVRoPyzK/qY2aEGglVKqWCn1x5mrAgC0gBYWzqmOapZ5RCk1UynlgPa+jYXWlQkATgA9RcRfKZWslHLt2iyr44zlKm1f5zwAfaEFvFUATopIVwAX6fU6q6il/HOglCqqpt66uh/aD7Xd+nb5B4C+emvn79ACzDB92nEA1iptt5kBAKKUUtOUUqX6a5mJip+/P5RSK/RttgBn/x5yQvu+KNHfixlKqcX690cegOnQtlN1qv18VTN9C1R839wK4Ael1CdKKZu+/i1n+RoA7X3bXURClFJZSqlNNUx7P4DnlFLH9c/6VADjKn02p+qfj7P52+ehivcgUWPF0EkAcJ1SqoV+u67SuChorQ3HXIYdw9lxnT4KWovHxrKQB+BbfXi1RCQA2n86VQVe1+Ufgda6UdcDjU66vPayW4HL+BnQWlHnKqUy9GHtAAxyDarQAmGMvl4/AAfquP6zUdaqVuYItL9NtMuwFJfHhdBaRM/VKZfHRQDS9SBS9hz68ttB2+bJLtvjA2gtngDwN2iti3/q3bV3V7O+LGgtYedaR1XKt4dSqrBsWv1vfBO0sJAsIt/oobFMWR3Z1Sz3V2gtXsP1x79AC1IXoVJXr4uz/dzUpB2At1y2dya0bdxaKaWghfFb9GlvBbDQZb5Wld67f0fN7yE/Obt9M9OUUsVlT0QkQEQ+EG23kFwAvwFoUfbDsJrXVt3nqyqV3zdx8Mznbyy0H1NHRNs9pKYDDNsB+NKl3t0AHKi4Xc/l7x+M6t+DRI0OQyfVJg1ad1kbl2FxLo/LAlqAy7DK/zkol8fp0IJCD5eQF6q0g4Rqcj20/1h/qWKcaz1tobVQuH2gkf6f4gxo3WIPlu3rBe0/j18rBdUgpdQD+nqLAXSsYpEFcNlO+vJdw7Y6Y46KTkL7z61MW2h/m1NVT16j2tZ1No5B68qPdNkeIUqpHgCglEpRSk1WSrWC1lr8X5dt6Wo/tF13W3uwtmrpradXQGv93AOtxa9MN2itbbnVzF4WOofpj39F7aGzpm1+tn+PY9B2X3B9D/orpdbo4z+B1tLWDsAgaC2FZfMdqjRfsFJqVB3XW5c6K0/zFIAuAAYppUKgBXVAC8lVTV/T56sq2wDEV5q/qs9fZZU/jxW+t5RSG5RSY6D9eFoK4PNq6i1b58hKNfupigc3nctnrhu0HguiJoGhk2qktygtgXYAUIDeGnSny/g0aPtU3i4iZr0Vq9ovfL3bcSaA/4hISwAQkdYiclUtpdwFYL7eilPZ7SLSXW8NnQatC95RxXRn6+/Q/qO4G9rpWObrQXE5gHgRuUNErPptgIh001/fbAD/1g8wMIvIENGOQE2C1mp0tWinSHke2v5fZU5B6yqu7nP5CYAnROQ8EQmC1qX6md69erZOQdufz21KqWQA3wF4Q0RC9IMqOorIRQAgIjeKfuAItFYpBa0LtvJySgH8gJq7Xj1CtPMgjtF3pSiBtq+wa00XQTtgpDq/ArgE2v55x6F1aY+Atv/guZzu6Wz/Hu8DeFZEegDlB3KVdz/rXdLpAGYBWKWUytZH/QkgT7QDffz192dPERngpToBrbWuCNpBMuEAXqxlmdV+vqpZ/gpUfM8sBHC5iIwXEYtoB0L2rWK+rdBOjdVXRPxQ8eAuHxG
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAp0AAAHiCAYAAACqSXe3AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAACaO0lEQVR4nOzdd3hUxdvG8e/spjdCOoTQe0cComIDUez+RLGhItI70ouK9C69C9h7RRSlqCg99I70EEhCCpDedt4/duMbMYEENjkpz+e6uMjuOXvm3s1u8mTOmRmltUYIIYQQQojCZDI6gBBCCCGEKP2k6BRCCCGEEIVOik4hhBBCCFHopOgUQgghhBCFTopOIYQQQghR6KToFEIIIYQQhU6KTvEfSqlEpVR1o3PciFLqd6VUV6NzFBal1M9KqVeLqK1DSqn7iqKtG+TYrJRqdpOPveXXSyn1uFLq81s5hihaSqkeSqnZ+dhvlVJqQhFEsiul1EylVC+jcwhhD1J0lmFKqTNKqRRbkZn9r6LW2kNrfaoY5Bt1TbYUpZRFKeVnh2PfZztW4jX/7rBH9pvIM1Yp9VHO+7TWD2ut3y+Etv7zy1dr3UBr/bu92yoIpdTjQILWes/NPN4er5fWejXQQCnV+FaOUxAl5Y8n28+LB+x8zFt67kopJ2AMMN1+qa7b3n1KqfNF0VYOM4BRtucqRIkmRad43FZkZv+7UFgNKaUcCrK/1npSzmzAVOB3rXWMnSJduOa5e2itt9rp2KLgegIfGh0C+BToXlgHL+jnoKQqouf5JHBUax1RBG3dspt5TbTWF4GjwBP2TyRE0ZKiU/yHUkorpWravvZVSq1WSl1VSu1USk1QSv1l21bVtq9Djsf+03OhlOpsO136rlIqFhirlHJWSs1QSp1TSkUppRYrpVzzkUkBrwDX9mTVUErtsOX7XinlY4fn76OUOm/reUMp5aGUOqGUesV2u65Sap1SKk4pdUwp1THHY11tp8POKqWuKKX+st33nx6S7J4jpVR7YBTwnK23dZ9te87X0qSUGmM7brRS6gOlVDnbtuzvw6u21zVGKTU6j+fWHXgJGGZra3XOLLavxyqlvlRKfaSUSlBKHVBK1VZKjbS1Ha6UejDHMcsppd5TSl1USkXY3iNm27aaSqk/bK9FjMrj1LWtF6cN8EeO+wqa49r33l+291q8Uuq0UurhHPt2Vkqdsh33tFLqpRxxfgcezSPna9mvme3230qpL3PcDldKNb3mMf/5HOTYNhG4G5hv+37Mz63dXHJ0UUodsT23X5RSVWz3L1JKzbhm3++VUm/Yvq6olPpaKXXJ9rz759hvrFLqC9t7K0FZL7kItW37EKgMrLblHJZLpvuU9XMzXCkVCaxUSpVXSv1oay/e9nWl6z13dZ3PVy4eJsd7xvb41kqpLUqpy7bvR+dcsnZWtp9jOe7L+XPvEaXUYdvrEKGUGqKUcgd+BiqqHGeGlPWzOUIpdVIpFWt7DX1sx8n+bL6ulDoHbMztSSilhtk+PxeUUl1zZrH5nTzek0KUKFpr+VdG/wFngAdyuV8DNW1ff2b75wbUB8KBv2zbqtr2dcjx2N+BrravOwOZQD/AAXAF3gV+AHwAT2A1MDkfWe8BEgGPa9qKABoC7sDXwEc5tu8HXszjePcB56/T3oNAJBAALAO+st3vbnsNXrM9p2ZADFDftn2BLVcwYAbuBJxzay/n64+1EPnomu05X8suwAmgOuABfAN8eM33YZntNW4CpAH18nhuq4AJN8iSCjxke44fAKeB0YAj0A04neOx3wJLbK9NALAD6GHb9qntcSbABWidR6YGQNI19xU0R87XqzOQYdvHDPQCLgDKlvMqUMe2bwWgQY7j+NheT69cclYHLtueT0XgbPb31bYtHjBd85jOXPM5yOv7nM/P7ZO290I92/HGAFtyfE7CAWW7XR5IsWU1AbuAtwAnW95TwEPXvN6P2F6zycC2G/28uOYzlYn1jIQz1veiL9AB688PT+BL4Lu8njs3+Hzl0uZO4Nkct6sACcALtveIL9D02ve97Xvy13V+7l0E7s7xGt6W188NYACwDahke95LgE+v+Wx+YHturrk8h/ZYf9Y0sL1OH+XMYtvnaWB3ft8j8k/+Fdd/0tMpvrP1CFxWSn2Xc4Ott6oD8LbWOllrfZj/9jTeyAWt9TytdSbWX2jdgUFa6zitdQIwCXg+H8d5FWvhl3jN/R9qrQ9qrZOAN4GO2b1sWuvGWutPrnPMijmee/Y/d9tjf8X6C3ID1l/CPWyPeQw4o7VeqbXO1NbrD78GnlVKmbAWhwO01hFa6yyt9RatdVo+nt+NvATM0lqfsr0GI4Hn1b9P172jtU7RWu8D9mEtPm/Wn1rrX2zfty8Bf2CK1joD6x8hVZVS3kqpQKyvz0CtdZLWOhrrHxbZ39MMrIVARa11qtb6r/82BYA31mLhpnLkccyzWutlWussrO/bCkCgbZsFaKiUctVaX9RaH8rxuOwc/zmutl7rnAA0xVrg/QJcUErVBe615bXkkuWfz4HWOiWPvPnVE+sfakdsr8skoKmtt/NPrAXL3bZ9nwG2autlMy0Af631OK11uu25LOPfn7+/tNY/2V6zDyn4e8iC9edFmu29GKu1/tr28yMBmIj1dcpLnp+vPPb35t/vmxeB9VrrT7XWGbb29xbwOYD1fVtfKeWltY7XWu++zr49gdFa6/O2z/pY4JlrPptjbZ+P3L73HYGVWutDWutkcvSE55BALu9HIUoaKTrFU1prb9u/p67Z5o+1tyE8x33hFEzO/f2x/iW/K7vIA9ba7s+TUsoN6y+d3ArenMc/i7V3I78DjS7keO7Z/5JybF+KtRd1ldY61nZfFeD2nIUq1oIwyNauC3Ayn+0XRHavWrazWL83gTnui8zxdTLWHtGbFZXj6xQgxlaIZN/GdvwqWF/zizlejyVYezwBhmHtXdxhO13bJY/24rH2hN1sjtz883rYfpmDtac8CXgOa7FwUSm1xlY0ZsvOcTmP4/6BtcfrHtvXv2MtpO7lmlO9ORT0c3M9VYA5OV7vOKyvcbDWWmMtxl+w7fsi8HGOx1W85r07iuu/h1xUwa5DvKS1Ts2+oZRyU0otUdbLQq4CmwDv7D8M83hueX2+cnPt+yYE+3z+OmD9Y+qssl4ecr0BhlWAb3PkPQJk8e/X9Xrf/4rc+GesJ3m/H4UoMaToFNdzCevpsko57gvJ8XV2geaW475rfznoHF/HYC0UGuQo8spp6yCh6/kf1l+sv+eyLWeeylh7KG55oJHtl+JSrKfFeue4vioc+OOaQtVDa93L1m4qUCOXQyaR43WyHT9nsa3/84h/u4D1l1u2yli/N1G5735dN2qrIMKxnsr3y/F6eGmtGwBorSO11t201hWx9hYvvOZatWwnsF66G2zHbHmy9Z62w9r7eRRrj1+2elh7267m8fDsovNu29d/cOOi83qveUG/H+FYL1/I+R501VpvsW3/FGtPWxXgdqw9hdmPO33N4zy11o/ks9385Lx2n8FAHeB2rbUX1kIdrEVybvtf7/OVm/1A7Wsen9vn71rXfh7/9XNLa71Ta/0k1j+evgO+yCNvdpsPX5PZRf97cNP1XruL5P0zNls9rGcvhCjRpOgUebL1KH2DdQCQm6036JUc2y9hvaayk1LKbOvFyvMHvu204zLgXaVUAIBSKlgp9dANorwKfGDrxblWJ6VUfVtv6Disp+CzctmvoEZh/UXRBet0LB/YCsUfgdpKqZeVUo62fy2UUvVsz28FMMs2wMCslLpDKeUMHMfaa/SoUsoR63V4zjnai8J6qjivz+SnwCClVDWllAfWU6qf206vFlQU1uv5bpm2jqz9FZiplPKyDaqooZS6F0Ap9ayyDRzB2iulsZ6CvfY46cB6rn/q1S6UUoFKqSdtl1KkYb1WOGeme7EOGMnLH8D9WK/PO4/1lHZ7rNcP3sx0TwX9fiwGRiqlGsA/A7n+Of1sOyUdAywHftFaX7Zt2gEkKOtAH1fb+7OhUqpFIeUEaw9dCnDZNrjm7RscM8/PVx7H/4l/v2c
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for cluster in \"bcdefgh\":\n",
    "    # Processing figure 7a\n",
    "    \n",
    "    dfa = pd.read_csv(glob.glob(DIR + cluster + \"_priority/part-*\")[0], header=None,\n",
    "                    names=[\"term\", \"priority\", \"count\"])\n",
    "    dfa = dfa.sort_values([\"term\", \"priority\"])\n",
    "\n",
    "    \n",
    "    categorical_plot(dfa, \"priority\", \"Figure 7a: Priorities w.r.t. event rate (cluster \" + cluster + \")\")\n",
    "    \n",
    "    # Processing figure 7b\n",
    "    \n",
    "    dfb = pd.read_csv(glob.glob(DIR + cluster + \"_exectime/part-*\")[0], header=None,\n",
    "                names=[\"term\", \"ignore\", \"exectime\", \"count\"])\n",
    "    del dfb[\"ignore\"]\n",
    "    dfb = dfb.sort_values([\"term\", \"exectime\"])\n",
    "    \n",
    "    xs = [\"<1\", \"1-2\", \"2-4\", \"4-10\", \"10-60\", \"60-1d\", \">=1d\"]\n",
    "    categorical_plot(dfb, \"exectime\", \"Figure 7b: Execution times (mins) w.r.t. event rate (cluster \" + cluster + \")\", xs)\n",
    "    \n",
    "   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a9a09b9c-4281-41f4-a069-eb954e0a018f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "language": "python",
   "name": "venv"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}