bachelorThesis/figure_7/figure_7.ipynb

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{
"cells": [
{
"cell_type": "code",
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"execution_count": 1,
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"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",
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"import numpy as np\n",
"import itertools"
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]
},
{
"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
"outputs": [],
"source": [
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"DIR = \"/home/claudio/hdd/git/bachelorThesis/figure_7/\""
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]
},
{
"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
"outputs": [],
"source": [
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"def tier(p):\n",
" if p <= 99:\n",
" return \"Free\"\n",
" elif p <= 115:\n",
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" return \"Best effort\"\n",
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" elif p <= 119:\n",
" return \"Mid\"\n",
" elif p <= 359:\n",
" return \"Production\"\n",
" else:\n",
" return \"Monitoring\"\n",
"\n",
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"def categorical_plot(df, key, title, sorted_xs = None): \n",
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" if sorted_xs == None:\n",
" xs = set()\n",
" lines = []\n",
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" for t in [4,5,6,7]:\n",
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" xs = xs.union(np.array(df[df[\"term\"] == t][key]).reshape(-1))\n",
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" xs = [str(x) for x in sorted(xs)]\n",
" else:\n",
" xs = sorted_xs\n",
" \n",
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" plt.figure(figsize=(4,3))\n",
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" ax = plt.gca()\n",
" lines = []\n",
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" for t in [4,5,6,7]:\n",
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" ys = []\n",
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" if xs[0] == \"-1\":\n",
" del xs[0]\n",
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" for x in xs:\n",
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" partsum = df[(df[\"term\"] != -1) & (df[key] == x)][\"count\"].sum().astype(int)\n",
" y = df[(df[\"term\"] == t) & (df[key] == x)][\"count\"]\n",
" ys.append(100 * ((y.values.astype(int)[0] / partsum if partsum > 0 else y.values.astype(int)[0]) if y.any()\n",
" else 0))\n",
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" lines.append(ax.plot(xs,ys, marker='.')[0])\n",
"\n",
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" if key == \"tier\":\n",
" plt.xlabel(\"Tier\")\n",
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" elif key == \"priority\":\n",
" plt.xlabel(\"2011 priority\")\n",
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" elif key == \"exectime\":\n",
" plt.xlabel(\"Execution time\")\n",
" else:\n",
" plt.xlabel(\"Machine concurrency\")\n",
" \n",
" plt.ylabel(\"Event rate [%]\")\n",
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" plt.xticks(xs)\n",
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" plt.yticks([0,20,40,60,80,100])\n",
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" lgd = plt.legend(lines, [\"EVICT\", \"FAIL\", \"FINISH\", \"KILL\"], loc=\"best\",\n",
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" bbox_to_anchor=(1,1))\n",
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" plt.title(title) \n",
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" plt.savefig('../report/figures/figure_7/%s-%s.pgf' % \n",
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" (key.replace(\"_\", \"\"), cluster), bbox_extra_artists=(lgd,), bbox_inches='tight')\n",
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" plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
"outputs": [
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{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
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{
"data": {
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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
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},
"output_type": "display_data"
},
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{
"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAV8AAADgCAYAAACkXmWVAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAABArElEQVR4nO3dd3xTVf/A8c836R60lA6gBQqUIaNliSjqw4PiRBwoOHgAUdAf+DBFEQUVRXCgCOKDiIuhoqCIiKLiFkHAQlnKXoXSAqWlO23O74+ktWBH2ia9aXveL/JKcnPuud+bhG9Pzr33HFFKoWmaplUvk9EBaJqm1UU6+WqaphlAJ19N0zQD6OSraZpmAJ18NU3TDKCTr6ZpmgF08tUqRESeEpElRsehaTWdTr7aP4jI3SKyWUQyROSEiHwpIpc7sf5oEVEi4uGCOjPst5Mi8rqIeDprG5rmTDr5aucRkfHAbOA5IAJoCrwO3GxgWOcpJ2kHK6UCgI7ApcCo6olK0ypGJ1+tiIgEAdOAUUqpT5RSmUopi1Lqc6XUxBLK9xKRYxcsOyQiV9sfd7e3oNPtLdGX7cV+st+ftbdSL7WXHyYiu0UkVUTWikizYvUqERklInuBveXti1IqGfgGaFeJt0LTXE4nX624SwEf4FMn1fcq8KpSqh7QEvjIvvxK+32wUipAKfWbiNwMTAZuA8KAn4EPLqjvFuASHEioItIYuBbYUNWd0DRX0MlXK64BcEople+k+ixAjIiEKqUylFJlJcIHgRlKqd327T8HdCre+rW/fkYplV1GPadE5CyQCGQCy6u4D5rmEjr5asWdBkKdeCDsPqA18KeIbBKRvmWUbQa8KiJn7cnzDCBAZLEyRx3YZqhSKhjwA34F1lYmcE1zNZ18teJ+A3Kx/bx3RCa2JAeAiJixdRkAoJTaq5S6CwgHngeWi4g/UNJQekeBB5RSwcVuvkqp9cXKODwEn711/C7QQ0RCHV1P06qLTr5aEaVUGjAVmCcit4iIn4h4isj1IvJCCavsAXxE5Eb7KV1PAN6FL4rIIBEJU0pZgbP2xVYgxX7folhd84HHRKS9fd0gEbmjsvsiIt7Af4AkbC16TXMrTjvPUqsdlFKzRCQJWyJdCpwDtgDTSyibJiIjgYWAGXgBKH72w3XAyyLiBxwG7izsrxWR6cCv9qR9nVLqUxEJAD609/OmYTtb4eMK7sJZEQHIB7YB/ZQetFpzQ6K/l5qmadVPdztomqYZQCdfTdM0A+jkq2maZgCdfDVN0wygk6+maZoBavSpZqGhoSo6OtroMDStztmyZcsppVRY+SW10tTo5BsdHc3mzZuNDkPT6hwROWx0DDWd7nbQNE0zgMuSr4i8LSLJIrKj2LIQEflGRPba7+vbl4uIzBGRfSKSICJdXBWXpmmaO3Bly/ddbJeXFjcJWKeUagWssz8HuB5oZb+NAP7nwrg0TdMM57I+X6XUTyISfcHim4Fe9sfvAT8Aj9qXL7Jfg79BRIJFpJFS6oSr4quJsuLjyfp9E37dL8avc2ejw9G082zZsiXcw8NjIdAB3aVpBXbk5+ff37Vr1+SSClT3AbeIYgk1CdscYWAbs7X4WK3H7Mv+kXxFZAS21jFNmzZ1XaRuJis+nsODh0B+PuLhQeTcOQT26mV0WJpWxMPDY2HDhg0vCgsLSzWZTHV60Bir1SopKSntkpKSFgL9Sipj2NkOSiklIhX+gJRSC4AFAN26daszH/DZjz4CiwUAZbFw7MH/w7NxY3ziYvGNjcM3tiM+7dph8vU1OFKtDuugE6+NyWRSYWFhaUlJSR1KK1PdyfdkYXeCiDQCCpvjiUCTYuWi7Ms0wHLiBOe++RZEwCSI2YPgAQPIP32KnG0JnPvyK1tBsxnvNq3xjbUn5LhYvJo3R0x1/RegVk1MOvH+zf5elPqfr7qT7ypgCDDTfv9ZseUPiciH2CZITNP9vTbKYiFx/ASwWmk86yUsR4/9o883PyWF7O3byd6WQHbCNtJXf8HZD5cBYAoMxLdjB3yKJWSPBg2M2h1Ncymz2dy1VatWRXP83XbbbWdyc3MlJyfHNG/evKIG3fr1630HDRrU4sCBAzsjIyM7bt68eXejRo3yjxw54jFy5Mim27Zt86tXr15BaGioZebMmYn33ntvc4ATJ054BQQEFAQGBhaEhITkr1+/fk9lY3VZ8hWRD7AdXAu1Ty/+JLak+5GI3IdtcO0B9uJrgBuAfUAWcK+r4qppkmfPJjs+nsazXiLohhtKLOMRFkZg794E9u4NgLJayTtwwJ6MbbfTby6EggIAPCMj8Y2LLUrIPu0uwuTjU237pGmu4u3tbf3zzz93FV+WkJDgfcMNN7QunnyXLFkSctttt50pXs5qtdKvX7+Yu++++/Tq1asPAPz222++aWlp5sI6+/fvH923b9+0e++9N7WqsbrybIe7SnnpqhLKKmCUq2Kpqc59/z1n3nqb4DsHEnTjjQ6vJyYT3jExeMfEENz/NgCs2dnk7NpVlJCztm4lfc2XthU8PPBp08aWkDvG2roroqN1d4Xmcr/sO+X/675TgT1jQs9dHhOa6YptxMbG5gYFBeV/9913/r17984EWLVqVciXX355Xqt19erVgR4eHuqRRx5JKVx26aWXljVTdpXU6MuLazNLYiLHJz2Gd7uLiHjssSrXZ/L1xa9rV/y6dv17G8nJ5BR1VySQ9tkqUt//wFa+Xj18O3SwH9CLxTcuDo+QkCrHodUNE5dva7In6ZxfWWUyc/NN+09l+ikF83/cT8tQ/yx/bw9raeVbNwzMevH2uDJnsM7NzTW1bdu2XeHzCRMmnBg+fHhq//79zyxdujSkd+/emevWrfMPDg7O79ixY27xdRMSEnzj4uKyHN3HqtLJ1w2pvDyOjRsPBQVEvfIKJm/v8leqBM/wcDyvuorAq2w/RlRBga27IiGhKCGffmMBWG3/HzyjouyJ2NZl4dOuncti02q/jNx8j8JZzJSyPff39sirSp0ldTsADB48+Mzll19+UUFBwdGlS5eG9O/f/0xJ61cnnXzdUPKsWeQkJBD56qt4NWtWbdsVsxnvVq3wbtWK4P79AbBmZZGzcyfZCdtt3RXx8aSvWWNbwdPT1l1RmJA7xuIV3Ux3V2iU10IFW5fDsHc3tc4vsJo8zCbrSwM6HXBV10NMTIwlKioqd82aNYFr1qyp/+uvv+6+sEzHjh2zV65cWd8V2y+JTr5uJv2bbzjz3iLqDxpEvWuvMTocTH5++F18MX4XX1y0zJKcTE6x1nHaypWkvv++rXy9evh27Pj3Ab24ODzqV9v3WatBLo8JzXx76MV7XN3nW+iOO+44M3HixCZNmjTJbdmypeXC12+66aZzU6ZMkZdeein04YcfPgWwceNG39TUVPN1112X4ex4dPJ1I3lHj3Ji8uP4dOxI+CMTjQ6nVJ7h4XhefTWBV18N2LorcvfvPy8hn5r/xt/dFU2aFLWOfWNj8W7XjpydO/Wl0hqXx4RmOjPpXtjn27t377TXX389EWDw4MGpjz/+eJPnnnuuxFa5yWRi1apV+0eOHNnk1Vdfbejt7a2ioqJy586dW24rvjJq9NTx3bp1U7VlPF9rXh6H77qbvKNHaf7JCryioowOqUqsmZlk79xpS8j2Lov8pCTbi2ZzUWIWb2+avvO2TsA1jIhsUUp1K75s27Zth+Li4k4ZFZM72rZtW2hcXFx0Sa/plq+bSJ75PDk7dxI177Uan3gBTP7++Hfvjn/37kXLLCeTyU7YRuqiRWRtsv3RVLm5ZG3cqJOvVufoIyNuIP3LL0l9/31Chg4tOvOgNvKMCKdenz6EjR+PFJ4loRTp335L/unTxganadVMJ1+D5R06xIknpuAbF0f4hPFGh1Mt/Dp3pum77xA2bhwNHniAvL37OHhbf7Li440OTdOqjU6+BrLm5nJs3HjbEJGvvIx4ehodUrXx69yZ0AdGED5uLNEffoB4eXH4P4M5s3gJNfk4hKY5SidfA518bga5u3fT6PmZeDZubHQ4hvG56CKar1hOwBVXcHL6dI5PeBhrpkvPOtJ
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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
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},
"output_type": "display_data"
},
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{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
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{
"data": {
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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
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},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
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{
"data": {
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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
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{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
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},
"output_type": "display_data"
},
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{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
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{
"data": {
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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
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},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
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{
"data": {
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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
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{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
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},
"output_type": "display_data"
},
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{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
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{
"data": {
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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
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{
"data": {
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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
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},
"output_type": "display_data"
},
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{
"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAV8AAADgCAYAAACkXmWVAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAAAx90lEQVR4nO3deXwU9f348dd7zyQQCIEQjgSCAqXKoYJ+QW1VrNaDqlXrVYtHq209ULzqUavF26oV7yIe4Ilaq4gHKqjlJyq3F6JYkEvCGQIk5Njd9++PmYVNyLEku9kc7+fjsY+d+cxnZt6zSd757GdmPiOqijHGmKblSXUAxhjTFlnyNcaYFLDka4wxKWDJ1xhjUsCSrzHGpIAlX2OMSQFLvmaPiMjNIvJsquMwpqWz5Gt2IyJnicg8EdkuImtF5G0ROTSB2y8QERURX7K3KSJPi8itidqPMYliyddUISJXAPcDtwO5QC/gEeDEFIZVRSKTtjGpYsnX7CQiHYFxwMWq+qqqlqhqpaq+oapX11D/cBFZXa3sBxH5hTt9kNuC3ioi60TkPrfaf933LW7reoRb/3wR+UZEikRkuoj0jtmuisjFIrIUWJqEwzemSVnyNbFGAGnAfxK0vfHAeFXtAOwNvOSW/9x9z1LV9qr6iYicCFwPnAzkALOAF6pt7yTg/4B9EhSfMSljydfE6gxsVNVQgrZXCfQVkS6qul1VP62j7p+AO1T1G3f/twP7xbZ+3eWbVXVHHdvZKCJboi/grEYfhTFJYMnXxNoEdElgn+rvgf7AEhGZKyKj6qjbGxgfkzQ3AwL0jKmzKo59dlHVrOgLeL5hoRuTXJZ8TaxPgHKcr/fxKAEyojMi4sXpMgBAVZeq6plAV+Au4BURaQfUNJTeKuCPsYlTVdNVdXZMHRuCz7QalnzNTqpaDPwNeFhEThKRDBHxi8ixInJ3Dat8B6SJyPEi4gf+CgSjC0XkbBHJUdUIsMUtjgAb3Pe9Yrb1GHCdiOzrrttRRH6T6GM0prmwS3ZMFap6r4gU4iTS54BtwHzgthrqFovIRcBEwAvcDcRe/XAMcJ+IZAArgDOi/bUichvwsZu0j1HV/4hIe+BFt5+3GHgPeDlJh2pMSokNpm6MMU3Puh2MMSYFLPkaY0wKWPI1xpgUsORrjDEpYMnXGGNSoEVfatalSxctKChIdRjGtDnz58/fqKo59dc0tWnRybegoIB58+alOgxj2hwRWZHqGFo663YwxpgUSFryFZEnRWS9iHwVU5YtIu+JyFL3vZNbLiLygIh8LyJfiMgByYrLGGOag2S2fJ/Gub001rXADFXtB8xw5wGOBfq5rwuBR5MYlzHGpFzS+nxV9b8iUlCt+ETgcHd6EvAh8Be3fLI69zp/KiJZItJdVdcmKz6TWqULF1I6Zy4ZBx1Ixv77pzockwDz58/v6vP5JgIDsS7NCPBVKBT6w9ChQ9fXVKGpT7jlxiTUQpxnhIEzZmvsWK2r3TJLvs2EqqIVFc6rvBwtLydSXoFWRKfL0eh8RcWu+fJytKK8ynzljz+ybeZMiETA66XLmEtpP3w4vtxu+Lp0RrzeVB+uaQCfzzexW7duP83JySnyeDxtetCYSCQiGzZs2KewsHAicEJNdVJ2tYOqqojs8Q9IRC7E6ZqgV69eCY+rOSudP5/ts/4faYMGkdavb9UE6CbF2CRYNQFGy2KSZ0XM8vJyIpUVVedjEq1WVDT+APx+PIEAGg5DOOyUhUJsvO+fbIzW8Xrxde2Kv2tXfN264e+W6yTl3K74u3XDl9sNf9ccJBBofDwm0QZa4nV4PB7NyckpLiwsHFhbnaZOvuui3Qki0h2INsfXAPkx9fLcst2o6gRgAsCwYcPazA+5+I03+PGav0AjRqGTYNB9BfAEgrvmA348gSDezA5IlyCeYAAJxNQNBhF/oOp89eUBZ1oC7rxb5gm66wUCO1u0pQsXsvK889HKSsTno9vNN+HtmEVo/ToqCwsJFa6jcl0h5UuXsn3WLLS0dLdj8XbujD83d1eC7pqLr1uum6Bz8efm4snI2G09k1QeS7y7uJ9Frd0vTZ18pwLnAHe676/HlF8iIi/iPCCx2Pp7d9n6znR+vP6GXYlXhMyjj6bDMb/cPcm5ic4TMy3BIOL3IyKpPRBXxv770+upJ+Pq81VVItu3EyospHLdekLrCncl6PXrqFyzhh3z5xMuLt5tXU+HDjsTtC+3K/7cbrsSdNdc/N1y8XTo0Gw+F9N4Xq93aL9+/XY+4+/kk0/eXF5eLmVlZZ6HH354Z4Nu9uzZ6WefffZey5Yt+7pnz56D5s2b90337t1DK1eu9F100UW9Pv/884wOHTqEu3TpUnnnnXeuOe+88/oArF27NtC+fftwZmZmODs7OzR79uzvGhpr0pKviLyAc3Kti/t48Ztwku5LIvJ7nMG1T3OrvwUcB3wPlALnJSuulkRDITbcfz+bJj5BoF8/KleuREMhxO8n+9xzWvSJqoz9948rfhHBm5mJNzOTYL9+tdaL7NhBaP16KgvXuQl6HaF1Tgs6VLiOsiXfEN64abdvDpKe7iTo3NxdXRzdct0yp1Xtzc5GPG39/FHLEAwGI0uWLFkcW/bFF18EjzvuuP6xyffZZ5/NPvnkkzfH1otEIpxwwgl9zzrrrE3Tpk1bBvDJJ5+kFxcXe6PbPOWUUwpGjRpVfN555xU1NtZkXu1wZi2LjqyhrgIXJyuWlihUVMSPV15JyexPyDrzDLpddx07vv7arhCohSc9nUDv3gR69661jlZWEtqwYVeCXrduZxdHqHAdpXPnUbl+PYSqPbzZ78efk1NjH3S4uJiKVavJPOJwMoYOTe5BtkL/7/uN7T7+fmPmIX27bDu0b5eSZOxj8ODB5R07dgzNnDmz3ciRI0sApk6dmv32229XabVOmzYt0+fz6TXXXLMhWjZixIi6npTdKC369uLWasdXX7N6zKWEN26i+223kXXKyUD8rUVTM/H78ffogb9Hj1rraCRCeNMmJ0FX64MOrVtP2deLqZz5AVpWVmW9zRMn4uvWjWC/fgTy8/Hn5xPIz3Pe8/LwtGuX7MNrVq5+5fP87wq31dnpXlIe8vxvY0mGKjz20f/Yu0u70nZBX6S2+v27ZZb+49QhdT7Bury83DNgwIB9ovNXXnnl2gsuuKDolFNO2fzcc89ljxw5smTGjBntsrKyQoMGDSqPXfeLL75IHzJkyO4nGJLEkm8zs+U/r1F40014O3em93PPkT6o1pOlJgnE48GXk4MvJwfnctXdqSqR4mI2PPwIRc8+63RliODJzCS8aRPFixYR2batyjrezp0J5LnJuFc+/rxdydnXtWub7NbYXh7yRXuBVJ35dkFfoy6rqanbAWD06NGbDz300J+Gw+FVzz33XPYpp5yyuab1m5Il32ZCKypYd+ddFD3/PBnDh9PzvnvxZWenOixTAxHBm5VFh+OOZcvLLztXbfj9dB/3953fTMLFxVSsXEXl6lVUrFpN5apVVKxaxY6FC9n61lvONc7R7QUC+PPy8OfnEchzk3N+Pv68PKfV3AKv2qivhQpOl8P5T8/tHwpHPD6vJ3LPafstS1bXQ9++fSvz8vLK33rrrcy33nqr08cff/xN9TqDBg3a8dprr3VKxv5rYsm3Gahct541l1/OjoULyf79+XQdOxbx2Y+muavrqg1vx46kD+pY4zcXraykcu3amOS8isqVq6hYvZod8+YTKamaf7w5XQjk5e9Mzv5e+U7XRl4+vpwuLbbVfGjfLiVPnnvgd8nu8436zW9+s/nqq6/Oz8/PL997770rqy//1a9+te3GG2+Ue+65p8tVV121EeCzzz5LLyoq8h5zzDHbEx2P/YWnWOmCBay+7DIiJaX0/Od9dDj22FSHZPZAQ/rhxe8n0KsXgRpuElJVwlu27GwpV65aTcVqJzmXzpvH1jemVbliQ4LBXUk5tp/ZbTl70tIafYzJdGjfLiWJTLrV+3xHjhxZ/Mgjj6wBGD16dNENN9yQf/vtt9fYKvd4PEydOvV/F110Uf748eO7BYNBzcvLK3/wwQfrbcU
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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
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},
{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 288x216 with 1 Axes>"
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
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}
],
"source": [
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"dfatot = None\n",
"dfbtot = None\n",
"dfctot = None\n",
"\n",
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"for cluster in \"abcdefgh\":\n",
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" # Processing figure 7a\n",
" \n",
" dfa = pd.read_csv(glob.glob(DIR + cluster + \"_priority/part-*\")[0], header=None,\n",
" names=[\"term\", \"priority\", \"count\"])\n",
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" dfa[\"tier\"] = dfa[\"priority\"].apply(tier)\n",
" dfa = dfa[dfa[\"priority\"].ge(0)]\n",
" dfa = dfa.groupby([\"tier\", \"term\"]).sum().reset_index()\n",
" dfa = dfa[dfa[\"term\"].isin(range(4,8))]\n",
" del dfa[\"priority\"]\n",
" if dfatot is None:\n",
" dfatot = dfa\n",
" else:\n",
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" dfatot = dfatot.append(dfa)\n",
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" \n",
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" xs = [\"Free\", \"Best effort\", \"Mid\", \"Production\", \"Monitoring\"]\n",
" categorical_plot(dfa, \"tier\", \"Cluster \" + cluster.upper(), xs)\n",
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" \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",
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" if dfbtot is None:\n",
" dfbtot = dfb\n",
" else:\n",
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" dfbtot = dfbtot.append(dfb)\n",
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" \n",
" xs = [\"<1\", \"1-2\", \"2-4\", \"4-10\", \"10-60\", \"60-1d\", \">=1d\"]\n",
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" categorical_plot(dfb, \"exectime\", \"Cluster \" + cluster.upper(), xs)\n",
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"\n",
" # Processing figure 7c\n",
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" \n",
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" bins = [\"1\", \"2-3\", \"4-5\", \"6-7\", \"8-9\", \"10-11\", \"12-13\", \">=14\"]\n",
" bin_max = [3, 5, 7, 9, 11, 13]\n",
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" def map_bins(value):\n",
" for i, m in enumerate(bin_max):\n",
" if value < m:\n",
" return bins[i-1]\n",
" return bins[-1]\n",
" \n",
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" dfc = pd.read_csv(DIR + cluster + \"_figure7c.csv\", header=0)\n",
" dfc = dfc.sort_values([\"term\", \"n_exec\"])\n",
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" dfc = dfc[dfc[\"n_exec\"] > 0]\n",
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" dfc[\"n_exec\"] = dfc[\"n_exec\"].map(map_bins)\n",
" dfc = dfc.groupby([\"term\", \"n_exec\"]).sum().reset_index()\n",
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" categorical_plot(dfc, \"n_exec\", \"Cluster \" + cluster.upper())\n",
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" if dfctot is None:\n",
" dfctot = dfc\n",
" else:\n",
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" dfctot = dfctot.append(dfc)"
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]
},
{
"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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
2021-05-22 10:44:42 +00:00
"text/plain": [
"<Figure size 288x216 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
2021-05-22 14:31:35 +00:00
"image/png": "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
2021-05-22 10:44:42 +00:00
"text/plain": [
"<Figure size 288x216 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 288x216 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
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"cluster = \"all\"\n",
" \n",
"dfatot = dfatot.groupby([\"tier\", \"term\"]).sum().reset_index()\n",
"dfbtot = dfbtot.groupby([\"term\", \"exectime\"]).sum().reset_index()\n",
"dfctot = dfctot.groupby([\"term\", \"n_exec\"]).sum().reset_index()\n",
"\n",
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"xs = [\"Free\", \"Best effort\", \"Mid\", \"Production\", \"Monitoring\"]\n",
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"categorical_plot(dfatot, \"tier\", \"2019 data\", xs)\n",
"\n",
"xs = [\"<1\", \"1-2\", \"2-4\", \"4-10\", \"10-60\", \"60-1d\", \">=1d\"]\n",
"categorical_plot(dfbtot, \"exectime\", \"2019 data\", xs)\n",
"\n",
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"categorical_plot(dfctot, \"n_exec\", \"2019 data\")"
]
},
{
"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 288x216 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAV8AAADgCAYAAACkXmWVAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAABKsElEQVR4nO2dd3hUVfrHP+9kJr2RTgIhdASUKiBFARtSFQh2Bde26ood1HVX3VVwdX/2tRfsVBERBQUrSpVmIfQWCGmQ3mbm/P64NyFAemYyKefzPPeZe88995x3JpPvvPe957xHlFJoNBqNpmGxeNoAjUajaYlo8dVoNBoPoMVXo9FoPIAWX41Go/EAWnw1Go3GA2jx1Wg0Gg+gxVfTaBGRqSLyk6ft0GjcgRbfFo6I+IjIWyKyX0RyRGSziFxySp3zRWS7iOSLyLci0q7cuSki8rN57rsK2n9dRJJExCkiU934Ph4VkQ/c1b5G42q0+GqswEHgPCAE+DswT0QSAEQkAlgEPAKEARuAueWuzwSeA2ZX0v4W4DbgV9ebrtE0XbT4tnCUUnlKqUeVUvuUUk6l1FJgL9DPrDIR+F0pNV8pVQg8CvQSkW7m9d8opeYBhytp/2Wl1EqgsDpbRCRcRJaISLaIrAM6nnL+eRE5aJ7fKCLDzPJRwEPA5SKSKyJbzPJpIvKn6dHvEZFbav8JaTTuQYuv5iREJBroAvxuFvXA8F4BQ6yB3Wa5q3kZQ6RbAzeYW3nWA70xPPCPgPki4quU+gp4EpirlApUSvUy66cCY4FgYBrwrIj0dYPdGk2t0eKrKUNEbMCHwByl1HazOBDIOqVqFhDk4r69gEnAP0xv/DdgTvk6SqkPlFIZSim7Uuq/gA/QtbI2lVJfKKV2K4PvgRXAMFfardHUFS2+GgBExAK8DxQDd5Q7lYvhOZYnGMhxsQmRnIg/l7L/FBvvM8MIWSJyHCNGHVFZgyJyiYisEZFMs/7oquprNA2JFl8NIiLAW0A0MEkpVVLu9O9Ar3J1AzBisb/jWtIAO9C2XFl8uX6HAQ8AU4BWSqlQDA9czConpecTER9gIfAMEG3WX1auvkbjUbT4agBeAc4AximlCk459ynQU0QmiYgv8A9ga2lYQkS8zHIrYBERXzN8gXne2zwvgM08f9r3TinlwBhV8aiI+ItId+D6clWCMMQ5DbCKyD842SM/CiSUa9sbIyyRBtjN4XMX1eGz0WjcghbfFo45ZvcWjAdZKeZogVwRuRpAKZWGEYt9AjgGDASuKNfEtUABhoAPM/ffKHd+hVk2GHjd3D+3EnPuwIgxpwDvAu+UO7cc+ArYgRGOKOTkEMV88zVDRH5VSuUAdwLzTLuvApZU93loNA2F6GTqGo1G0/Boz1ej0Wg8gNvEV0TeFpFUEfmtXFmYiHwtIjvN11ZmuYjICyKyS0S26rGYGo2mueNOz/ddYNQpZTOBlUqpzsBK8xjgEqCzud2MET/UaDSaZovbxFcp9QPGvP/yTODEwPk5wKXlyt8zB8OvAUJFpLW7bNNoNBpP09Ax32il1BFzPwVjXClAHCc/uT5klmk0Gk2zxOqpjpVSSkRqPdRCRG7GCE0QEBDQr1u3bi63TaPRVM3GjRvTlVKRnrajKdPQ4ntURForpY6YYYVUszyZk2c2tTHLTkMp9TrGeFH69++vNmzY4E57NRpNBYjI/upraaqiocMOSzgxa+l64LNy5deZox4GAVnlwhMajUbT7HCb5ysiHwPDgQgROQT8EyPh9jwR+QvGLKUpZvVlGElPdgH5GOn/NBqNptniNvFVSl1ZyanzK6irgNvdZYtGo9E0Njz2wE2j0TQvNm7cGGW1Wt8EeqJnzzqB3+x2+439+vVLraiCFl+NRuMSrFbrmzExMWdERkYes1gsLTppjNPplLS0tO4pKSlvAuMrqtPSf500Go3r6BkZGZnd0oUXwGKxqMjIyCyMu4CK6zSgPRqNpnlj0cJ7AvOzqFRjddhBo9E0G7y8vPp17ty5bEGAiRMnZhYVFUlhYaHl5ZdfLps78PPPP/tdc801Hfbs2fN7XFzcmRs2bPizdevW9gMHDlhvu+22+C1btvgHBwc7IiIiSmbPnp08bdq09gBHjhzxDgwMdAQFBTnCwsLsP//884662qrFV6PRNBt8fHyc27dv/6N82datW31Gjx7dpbz4fvDBB2ETJ048KfeM0+lk/Pjxna666qqMpUuX7gH45Zdf/LKysrxK25w0aVLC2LFjs6ZNm3asvrZq8dVoNB7jp13pAat3pQcN6RSRM7RTRJ47+jjrrLOKQkJC7KtWrQoYOXJkHsCSJUvCvvzyy5O81qVLlwZZrVb1wAMPpJWWnXPOOacuq+UytPhqNBqXc/+CLW13pOT4V1Unr8hu2Z2e568UvPr9bjpGBOQH+FidldXvEhOU//TkXgcrOw9QVFRk6datW/fS43vvvffITTfddGzSpEmZH374YdjIkSPzVq5cGRAaGmo/88wzi8pfu3XrVr9evXrl1/Q91hctvhqNxiPkFtmtpauYKWUcB/hYi+vTZkVhB4Drrrsuc+jQoWc4HI6DH374YdikSZNOTXfb4Gjx1Wg0Lqc6DxWMkMMN767vYnc4LVYvi/OZKb33uCv00KlTp5I2bdoULVu2LGjZsmWtVq9e/eepdc4888yCxYsXt3JH/xWhh5ppNBqPMLRTRN7bU8/ecct5HZPfnnr2DncJbymJiYmZ999/f9u2bdsWdezYseTU8+PGjcspLi6WZ555JqK0bO3atX5fffVVoDvs0eKr0Wg8xtBOEXkzRnVLcZXwlsZ8S7fbbrutbFGG66677tiuXbt8ExMTKww5WCwWlixZsnvVqlXBbdu27dmpU6ceM2bMiIuLiztNqF2BDjtoNJpmg8Ph2FjZudatW9vtdvuvp5YnJydvK91PSEgoWbZs2Z7K2li4cOG+ehtpoj1fjUaj8QBafDUajcYDaPHVaDQaD6DFV6PRaDyAFl+NRqPxAFp8NRqNxgNo8dVoNM0GLy+vfuXH+SYlJXkDPP7441E+Pj59MzIyvErrLl26NGjEiBGdAF544YXw6667Lr4hbdXjfDUaTbOhstwOCxYsCOvZs2feBx98EDp9+vQMT9h2Ktrz1Wg0nmPPdwF882gMe74LcFcXv//+u09+fr7X448/njxv3rwwd/VTW7Tnq9FoXM/i29uS+keVKSUpyrWQsdMfFPz0HIR3zscnsNKUkkR1z+fSl2ucUrJt27ZFX3/99e733nuv1WWXXZY5atSo3Jtuusn34MGD1rZt29rr8K5cikc8XxG5W0R+F5HfRORjEfEVkfYislZEdonIXBHx9oRtGo2mgSjOsULpkm/KPK4fpWGH7du3//H111/vBli0aFH4ddddl+nl5cXo0aOPvf/++w2WuawqGtzzFZE44E6gu1KqQETmAVcAo4FnlVKfiMirwF+AVxraPo1G4wKq8VABI+Tw4ZQuOEssWGxOLnt1Dx2GuzSz2bp16/z279/vM2rUqC4AJSUl0qZNm+KHHnoorbpr3Y2nYr5WwE9ErIA/cAQYCSwwz88BLvWMaRqNpkHoMDyPq+ftYMj0ZK6et8PVwgvw3nvvhd17772Hk5OTtyUnJ29LTU3devToUduOHTs8fmfd4OKrlEoGngEOYIhuFrAROK6UKo3DHALiKm5Bo9E0GzoMz+OCR1PcIbwAixcvDpsyZcrx8mWXXHLJsTlz5pz24G3BggXh0dHRZ5Vuu3fvtrnDplJEla7j0UCISCtgIXA5cByYj+HxPqqU6mTWaQt8qZTqWcH1NwM3A8THx/fbv39/1R0eWAtJy6DbGGg7wIXvRKNpuYjIRqVU//JlW7Zs2derV690T9nUGNmyZUtEr169Eio654mwwwXAXqVUmlKqBFgEDAFCzTAEQBsguaKLlVKvK6X6K6X6R0ZGVt3TwXXw7mhY/RzMGWccazQaTSPAE+J7ABgkIv4iIsD5wB/At8Bks871wGf17mnfj6DMkSv2IuNYo9FoGgGeiPmuxQgz/ApsM214HZgB3CMiu4Bw4K16d5YwDLx8Snu
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"text/plain": [
"<Figure size 288x216 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 288x216 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"def malusa(l, r):\n",
" return [a for a in itertools.chain(*[[b for x in range(r)] for b in l])]\n",
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"\n",
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"dfa11 = {'term': [x for x in range(4,8)] * 4,\n",
" 'priority': malusa([\"0-1\", \"2-4\", \"5-8\", \"9-11\"], 4),\n",
" 'count': [18, 38, 20, 28,\n",
" 0, 4, 21, 78,\n",
" 0, 7, 25, 65, \n",
" 0, 85, 17, 4]}\n",
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"dfa11 = pd.DataFrame(data=dfa11, columns=dfa11.keys())\n",
"\n",
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"dfc11 = {'term': [x for x in range(4,8)] * 8,\n",
" 'n_exec': malusa([\"1\", \"2-3\", \"4-5\", \"6-7\", \"8-9\", \"10-11\", \"12-13\", \">=14\"], 4),\n",
" 'count': [45,12,27,18,\n",
" 20,16,20,45,\n",
" 10,17,18,55,\n",
" 9,24,20,57,\n",
" 8,25,18,51,\n",
" 7,25,19,50,\n",
" 6,26,20,49,\n",
" 6,26,21,50]}\n",
"dfc11 = pd.DataFrame(data=dfc11, columns=dfc11.keys())\n",
"\n",
"dfb11 = {'term': [x for x in range(4,8)] * 7,\n",
" 'exectime': malusa([\"<1\", \"1-2\", \"2-4\", \"4-10\", \"10-60\", \"60-1d\", \">=1d\"], 4),\n",
" 'count': [3,78,11,7,\n",
" 5,38,21,39,\n",
" 6,6,20,70,\n",
" 8,4,17,72,\n",
" 12,8,18,65,\n",
" 21,3,21,56,\n",
" 23,2,70,2]}\n",
"dfb11 = pd.DataFrame(data=dfb11, columns=dfb11.keys())\n",
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"\n",
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"cluster = \"2011\"\n",
"\n",
"categorical_plot(dfa11, \"priority\", \"2011 data\")\n",
"\n",
"xs = [\"<1\", \"1-2\", \"2-4\", \"4-10\", \"10-60\", \"60-1d\", \">=1d\"]\n",
"categorical_plot(dfb11, \"exectime\", \"2011 data\", xs)\n",
"bins = [\"1\", \"2-3\", \"4-5\", \"6-7\", \"8-9\", \"10-11\", \"12-13\", \">=14\"]\n",
"categorical_plot(dfc11, \"n_exec\", \"2011 data\", bins)"
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]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
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},
{
"cell_type": "code",
"execution_count": null,
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"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
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"metadata": {},
"outputs": [],
"source": []
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}
],
"metadata": {
"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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"version": "3.8.3"
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}
},
"nbformat": 4,
"nbformat_minor": 5
}