perf-report.ipynb

{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4-final"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "python37464bitpandassample4shxcqq7py37venv5d129e48a3204332a41b2c2d80da020e",
   "display_name": "Python 3.7.4 64-bit ('pandas-sample-4shxcQQ7-py3.7': venv)"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 864x864 with 0 Axes>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "# 使用 rc 方法进行全局配置\n",
    "# 1. 将全局的图像默认大小设置为5×5\n",
    "plt.rc('figure', figsize=(12, 12))\n",
    "# 2. 设置字体\n",
    "font_options = {'family' : 'monospace',\n",
    "                'weight' : 'bold',\n",
    "                'size'   : '12'}\n",
    "plt.rc('font', **font_options)\n",
    "# subplot 边距设置为 0\n",
    "plt.subplots_adjust(wspace=0, hspace=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "Float64Index([1595586033.3688793, 1595586033.4119792, 1595586098.6116257,\n              1595586100.1581519, 1595586156.8269873, 1595586174.8276892,\n              1595586197.0063212, 1595586244.9009132, 1595586261.8973153,\n              1595586311.5658224, 1595586332.6535938, 1595586380.0070212,\n              1595586390.5633044, 1595586436.0880125,  1595586454.744883,\n              1595586488.9145033, 1595586506.3732195, 1595586571.9764206,\n              1595586592.0092926, 1595586645.8184662, 1595586664.4434946,\n              1595586699.4684155, 1595586729.2332716, 1595586773.5345814,\n              1595586797.7926676, 1595586838.9291644, 1595586854.8804631,\n              1595586908.0429163,   1595586918.01359, 1595586988.9151454,\n               1595586996.481891],\n             dtype='float64', name='start_time')"
     },
     "metadata": {},
     "execution_count": 21
    }
   ],
   "source": [
    "# 加载性能测试数据集，要访问多个表单使用ExcelFile会更快\n",
    "xlsx = pd.ExcelFile(\"~/Downloads/t.xls\")\n",
    "# https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html\n",
    "qps = pd.read_excel(xlsx, \"qps\", index_col=0)\n",
    "# https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.apply.html\n",
    "# qps[\"end_time\"] = qps[\"end_time\"].apply(lambda x: x + 1)\n",
    "gpu = pd.read_excel(xlsx, \"gpu\")\n",
    "cpu_mem = pd.read_excel(xlsx, \"cpu_mem\")\n",
    "qps.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "output_type": "error",
     "ename": "AttributeError",
     "evalue": "module 'pandas' has no attribute 'TimeGrouper'",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-22-3e8e7828c9ba>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;31m# https://stackoverflow.com/questions/46839032/grouping-by-date-range-with-pandas\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;31m# https://stackoverflow.com/questions/36681945/group-dataframe-in-5-minute-intervals\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mqps\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTimeGrouper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'5Min'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/pandas-sample-4shxcQQ7-py3.7/lib/python3.7/site-packages/pandas/__init__.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(name)\u001b[0m\n\u001b[1;32m    261\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0m_SparseArray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    262\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 263\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"module 'pandas' has no attribute '{name}'\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    264\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    265\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: module 'pandas' has no attribute 'TimeGrouper'"
     ]
    }
   ],
   "source": [
    "# convert index to timestamp\n",
    "import datetime\n",
    "qps.index = qps.index.map(lambda x: datetime.datetime.fromtimestamp(x))\n",
    "# https://stackoverflow.com/questions/46839032/grouping-by-date-range-with-pandas\n",
    "# https://stackoverflow.com/questions/36681945/group-dataframe-in-5-minute-intervals\n",
    "# qps.groupby(pd.TimeGrouper('5Min')).sum()\n",
    "qps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x11be4c350>"
     },
     "metadata": {},
     "execution_count": 23
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 864x864 with 4 Axes>",
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"620.53375pt\" version=\"1.1\" viewBox=\"0 0 745.182812 620.53375\" width=\"745.182812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <defs>\n  <style type=\"text/css\">\n*{stroke-linecap:butt;stroke-linejoin:round;}\n  </style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 620.53375 \nL 745.182812 620.53375 \nL 745.182812 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 57.54625 134.921739 \nL 727.14625 134.921739 \nL 727.14625 7.2 \nL 57.54625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m3820c0a6a7\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"66.892105\" xlink:href=\"#m3820c0a6a7\" y=\"134.921739\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 24 18:20 -->\n      <defs>\n       <path d=\"M 21.1875 12.703125 \nL 51.90625 12.703125 \nL 51.90625 0 \nL 5.609375 0 \nL 5.609375 12.3125 \nL 13.421875 20.609375 \nQ 27.34375 35.40625 30.328125 38.8125 \nQ 33.984375 43.015625 35.59375 46.265625 \nQ 37.203125 49.515625 37.203125 52.6875 \nQ 37.203125 57.5625 34.25 60.21875 \nQ 31.296875 62.890625 25.875 62.890625 \nQ 22.015625 62.890625 17.203125 61.34375 \nQ 12.40625 59.8125 7.171875 56.890625 \nL 7.171875 70.3125 \nQ 12.40625 72.21875 17.40625 73.21875 \nQ 22.40625 74.21875 27 74.21875 \nQ 38.578125 74.21875 45.1875 68.8125 \nQ 51.8125 63.421875 51.8125 54.109375 \nQ 51.8125 49.8125 50.359375 46.046875 \nQ 48.921875 42.28125 45.40625 37.703125 \nQ 42.828125 34.375 31.203125 22.75 \nQ 24.90625 16.453125 21.1875 12.703125 \nz\n\" id=\"DejaVuSansMono-Bold-50\"/>\n       <path d=\"M 33.890625 56.890625 \nL 15.484375 28.078125 \nL 33.890625 28.078125 \nz\nM 32.625 72.90625 \nL 47.703125 72.90625 \nL 47.703125 28.078125 \nL 55.71875 28.078125 \nL 55.71875 15.71875 \nL 47.703125 15.71875 \nL 47.703125 0 \nL 33.890625 0 \nL 33.890625 15.71875 \nL 4.984375 15.71875 \nL 4.984375 29.6875 \nz\n\" id=\"DejaVuSansMono-Bold-52\"/>\n       <path id=\"DejaVuSansMono-Bold-32\"/>\n       <path d=\"M 9.1875 12.703125 \nL 25.296875 12.703125 \nL 25.296875 60.015625 \nL 10.296875 56.296875 \nL 10.296875 69.28125 \nL 25.390625 72.90625 \nL 39.3125 72.90625 \nL 39.3125 12.703125 \nL 55.421875 12.703125 \nL 55.421875 0 \nL 9.1875 0 \nz\n\" id=\"DejaVuSansMono-Bold-49\"/>\n       <path d=\"M 30.078125 32.515625 \nQ 25.25 32.515625 22.265625 29.46875 \nQ 19.28125 26.421875 19.28125 21.390625 \nQ 19.28125 16.359375 22.265625 13.28125 \nQ 25.25 10.203125 30.078125 10.203125 \nQ 34.90625 10.203125 37.90625 13.328125 \nQ 40.921875 16.453125 40.921875 21.390625 \nQ 40.921875 26.421875 37.9375 29.46875 \nQ 34.96875 32.515625 30.078125 32.515625 \nz\nM 19.390625 38.625 \nQ 13.875 40.53125 10.984375 44.609375 \nQ 8.109375 48.6875 8.109375 54.59375 \nQ 8.109375 63.671875 14.015625 68.9375 \nQ 19.921875 74.21875 30.078125 74.21875 \nQ 40.28125 74.21875 46.1875 68.9375 \nQ 52.09375 63.671875 52.09375 54.59375 \nQ 52.09375 48.734375 49.265625 44.65625 \nQ 46.4375 40.578125 41.015625 38.625 \nQ 47.078125 36.765625 50.484375 31.984375 \nQ 53.90625 27.203125 53.90625 20.515625 \nQ 53.90625 10.015625 47.703125 4.296875 \nQ 41.5 -1.421875 30.078125 -1.421875 \nQ 18.703125 -1.421875 12.5 4.296875 \nQ 6.296875 10.015625 6.296875 20.515625 \nQ 6.296875 27.25 9.765625 32.03125 \nQ 13.234375 36.8125 19.390625 38.625 \nz\nM 20.90625 53.421875 \nQ 20.90625 49.125 23.359375 46.609375 \nQ 25.828125 44.09375 30.078125 44.09375 \nQ 34.375 44.09375 36.84375 46.609375 \nQ 39.3125 49.125 39.3125 53.421875 \nQ 39.3125 57.671875 36.84375 60.125 \nQ 34.375 62.59375 30.078125 62.59375 \nQ 25.875 62.59375 23.390625 60.109375 \nQ 20.90625 57.625 20.90625 53.421875 \nz\n\" id=\"DejaVuSansMono-Bold-56\"/>\n       <path d=\"M 21.921875 51.90625 \nL 38.1875 51.90625 \nL 38.1875 34.078125 \nL 21.921875 34.078125 \nz\nM 21.921875 17.921875 \nL 38.1875 17.921875 \nL 38.1875 0 \nL 21.921875 0 \nz\n\" id=\"DejaVuSansMono-Bold-58\"/>\n       <path d=\"M 24.03125 36.375 \nQ 24.03125 38.96875 25.78125 40.71875 \nQ 27.546875 42.484375 30.078125 42.484375 \nQ 32.671875 42.484375 34.421875 40.71875 \nQ 36.1875 38.96875 36.1875 36.375 \nQ 36.1875 33.84375 34.421875 32.078125 \nQ 32.671875 30.328125 30.078125 30.328125 \nQ 27.546875 30.328125 25.78125 32.0625 \nQ 24.03125 33.796875 24.03125 36.375 \nz\nM 30.078125 62.015625 \nQ 25.09375 62.015625 22.796875 55.90625 \nQ 20.515625 49.8125 20.515625 36.375 \nQ 20.515625 23 22.796875 16.890625 \nQ 25.09375 10.796875 30.078125 10.796875 \nQ 35.109375 10.796875 37.40625 16.890625 \nQ 39.703125 23 39.703125 36.375 \nQ 39.703125 49.8125 37.40625 55.90625 \nQ 35.109375 62.015625 30.078125 62.015625 \nz\nM 6 36.375 \nQ 6 55.328125 12 64.765625 \nQ 18.015625 74.21875 30.078125 74.21875 \nQ 42.1875 74.21875 48.1875 64.796875 \nQ 54.203125 55.375 54.203125 36.375 \nQ 54.203125 17.4375 48.1875 8 \nQ 42.1875 -1.421875 30.078125 -1.421875 \nQ 18.015625 -1.421875 12 8.03125 \nQ 6 17.484375 6 36.375 \nz\n\" id=\"DejaVuSansMono-Bold-48\"/>\n      </defs>\n      <g transform=\"translate(15.592354 178.715767)rotate(-30)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-52\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-32\"/>\n       <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-49\"/>\n       <use x=\"240.820312\" xlink:href=\"#DejaVuSansMono-Bold-56\"/>\n       <use x=\"301.025391\" xlink:href=\"#DejaVuSansMono-Bold-58\"/>\n       <use x=\"361.230469\" xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n       <use x=\"421.435547\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.504517\" xlink:href=\"#m3820c0a6a7\" y=\"134.921739\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 24 18:25 -->\n      <defs>\n       <path d=\"M 9.421875 72.90625 \nL 49.03125 72.90625 \nL 49.03125 60.203125 \nL 21.09375 60.203125 \nL 21.09375 46.6875 \nQ 22.859375 47.359375 24.859375 47.671875 \nQ 26.859375 48 29.109375 48 \nQ 39.9375 48 46.671875 41.15625 \nQ 53.421875 34.328125 53.421875 23.390625 \nQ 53.421875 11.921875 46.109375 5.25 \nQ 38.8125 -1.421875 26.21875 -1.421875 \nQ 21.53125 -1.421875 16.75 -0.640625 \nQ 11.96875 0.140625 6.984375 1.703125 \nL 6.984375 14.703125 \nQ 11.03125 12.703125 15.296875 11.6875 \nQ 19.578125 10.6875 23.875 10.6875 \nQ 31.5 10.6875 35.453125 13.9375 \nQ 39.40625 17.1875 39.40625 23.390625 \nQ 39.40625 29.109375 35.46875 32.546875 \nQ 31.546875 35.984375 25 35.984375 \nQ 21.140625 35.984375 17.25 35.03125 \nQ 13.375 34.078125 9.421875 32.171875 \nz\n\" id=\"DejaVuSansMono-Bold-53\"/>\n      </defs>\n      <g transform=\"translate(205.204766 178.715767)rotate(-30)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-52\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-32\"/>\n       <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-49\"/>\n       <use x=\"240.820312\" xlink:href=\"#DejaVuSansMono-Bold-56\"/>\n       <use x=\"301.025391\" xlink:href=\"#DejaVuSansMono-Bold-58\"/>\n       <use x=\"361.230469\" xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n       <use x=\"421.435547\" xlink:href=\"#DejaVuSansMono-Bold-53\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"446.116928\" xlink:href=\"#m3820c0a6a7\" y=\"134.921739\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 24 18:30 -->\n      <defs>\n       <path d=\"M 26.8125 32.625 \nL 19.09375 32.625 \nL 19.09375 45.3125 \nL 26.8125 45.3125 \nQ 32.171875 45.3125 35.125 47.4375 \nQ 38.09375 49.5625 38.09375 53.421875 \nQ 38.09375 57.46875 35.125 59.734375 \nQ 32.171875 62.015625 26.8125 62.015625 \nQ 22.703125 62.015625 18.015625 60.984375 \nQ 13.328125 59.96875 8.296875 58.015625 \nL 8.296875 71.09375 \nQ 13.328125 72.609375 18.203125 73.40625 \nQ 23.09375 74.21875 27.59375 74.21875 \nQ 39.109375 74.21875 45.546875 69.1875 \nQ 52 64.15625 52 55.328125 \nQ 52 48.828125 48.28125 44.703125 \nQ 44.578125 40.578125 37.703125 39.3125 \nQ 45.515625 37.9375 49.609375 33.078125 \nQ 53.71875 28.21875 53.71875 20.3125 \nQ 53.71875 9.71875 46.921875 4.140625 \nQ 40.140625 -1.421875 27.203125 -1.421875 \nQ 21.6875 -1.421875 16.328125 -0.484375 \nQ 10.984375 0.4375 6.109375 2.203125 \nL 6.109375 15.578125 \nQ 10.6875 13.28125 16.015625 12.078125 \nQ 21.34375 10.890625 27.203125 10.890625 \nQ 33.0625 10.890625 36.46875 13.59375 \nQ 39.890625 16.3125 39.890625 20.90625 \nQ 39.890625 26.515625 36.46875 29.5625 \nQ 33.0625 32.625 26.8125 32.625 \nz\n\" id=\"DejaVuSansMono-Bold-51\"/>\n      </defs>\n      <g transform=\"translate(394.817177 178.715767)rotate(-30)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-52\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-32\"/>\n       <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-49\"/>\n       <use x=\"240.820312\" xlink:href=\"#DejaVuSansMono-Bold-56\"/>\n       <use x=\"301.025391\" xlink:href=\"#DejaVuSansMono-Bold-58\"/>\n       <use x=\"361.230469\" xlink:href=\"#DejaVuSansMono-Bold-51\"/>\n       <use x=\"421.435547\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"635.72934\" xlink:href=\"#m3820c0a6a7\" y=\"134.921739\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 24 18:35 -->\n      <g transform=\"translate(584.429589 178.715767)rotate(-30)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-52\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-32\"/>\n       <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-49\"/>\n       <use x=\"240.820312\" xlink:href=\"#DejaVuSansMono-Bold-56\"/>\n       <use x=\"301.025391\" xlink:href=\"#DejaVuSansMono-Bold-58\"/>\n       <use x=\"361.230469\" xlink:href=\"#DejaVuSansMono-Bold-51\"/>\n       <use x=\"421.435547\" xlink:href=\"#DejaVuSansMono-Bold-53\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_5\">\n     <!-- start_time -->\n     <defs>\n      <path d=\"M 47.515625 52.78125 \nL 47.515625 44 \nQ 43.65625 46.234375 39.75 47.359375 \nQ 35.84375 48.484375 31.78125 48.484375 \nQ 25.6875 48.484375 22.671875 46.5 \nQ 19.671875 44.53125 19.671875 40.484375 \nQ 19.671875 36.8125 21.921875 35 \nQ 24.171875 33.203125 33.109375 31.5 \nL 36.71875 30.8125 \nQ 43.40625 29.546875 46.84375 25.734375 \nQ 50.296875 21.921875 50.296875 15.828125 \nQ 50.296875 7.71875 44.53125 3.140625 \nQ 38.765625 -1.421875 28.515625 -1.421875 \nQ 24.46875 -1.421875 20.015625 -0.5625 \nQ 15.578125 0.296875 10.40625 2 \nL 10.40625 11.28125 \nQ 15.4375 8.6875 20.015625 7.390625 \nQ 24.609375 6.109375 28.71875 6.109375 \nQ 34.671875 6.109375 37.9375 8.515625 \nQ 41.21875 10.9375 41.21875 15.28125 \nQ 41.21875 21.53125 29.25 23.921875 \nL 28.859375 24.03125 \nL 25.484375 24.703125 \nQ 17.71875 26.21875 14.15625 29.8125 \nQ 10.59375 33.40625 10.59375 39.59375 \nQ 10.59375 47.46875 15.90625 51.734375 \nQ 21.234375 56 31.109375 56 \nQ 35.5 56 39.546875 55.1875 \nQ 43.609375 54.390625 47.515625 52.78125 \nz\n\" id=\"DejaVuSansMono-115\"/>\n      <path d=\"M 29.984375 70.21875 \nL 29.984375 54.6875 \nL 50.390625 54.6875 \nL 50.390625 47.703125 \nL 29.984375 47.703125 \nL 29.984375 18.015625 \nQ 29.984375 11.96875 32.28125 9.5625 \nQ 34.578125 7.171875 40.28125 7.171875 \nL 50.390625 7.171875 \nL 50.390625 0 \nL 39.40625 0 \nQ 29.296875 0 25.140625 4.046875 \nQ 21 8.109375 21 18.015625 \nL 21 47.703125 \nL 6.390625 47.703125 \nL 6.390625 54.6875 \nL 21 54.6875 \nL 21 70.21875 \nz\n\" id=\"DejaVuSansMono-116\"/>\n      <path d=\"M 34.28125 27.484375 \nL 31.296875 27.484375 \nQ 23.4375 27.484375 19.453125 24.71875 \nQ 15.484375 21.96875 15.484375 16.5 \nQ 15.484375 11.578125 18.453125 8.84375 \nQ 21.4375 6.109375 26.703125 6.109375 \nQ 34.125 6.109375 38.375 11.25 \nQ 42.625 16.40625 42.671875 25.484375 \nL 42.671875 27.484375 \nz\nM 51.703125 31.203125 \nL 51.703125 0 \nL 42.671875 0 \nL 42.671875 8.109375 \nQ 39.796875 3.21875 35.421875 0.890625 \nQ 31.0625 -1.421875 24.8125 -1.421875 \nQ 16.453125 -1.421875 11.46875 3.296875 \nQ 6.5 8.015625 6.5 15.921875 \nQ 6.5 25.046875 12.625 29.78125 \nQ 18.75 34.515625 30.609375 34.515625 \nL 42.671875 34.515625 \nL 42.671875 35.9375 \nQ 42.625 42.484375 39.34375 45.4375 \nQ 36.078125 48.390625 28.90625 48.390625 \nQ 24.3125 48.390625 19.625 47.0625 \nQ 14.9375 45.75 10.5 43.21875 \nL 10.5 52.203125 \nQ 15.484375 54.109375 20.046875 55.046875 \nQ 24.609375 56 28.90625 56 \nQ 35.6875 56 40.5 54 \nQ 45.3125 52 48.296875 48 \nQ 50.140625 45.5625 50.921875 41.96875 \nQ 51.703125 38.375 51.703125 31.203125 \nz\n\" id=\"DejaVuSansMono-97\"/>\n      <path d=\"M 56.390625 43.40625 \nQ 53.515625 45.65625 50.53125 46.671875 \nQ 47.5625 47.703125 44 47.703125 \nQ 35.59375 47.703125 31.140625 42.421875 \nQ 26.703125 37.15625 26.703125 27.203125 \nL 26.703125 0 \nL 17.671875 0 \nL 17.671875 54.6875 \nL 26.703125 54.6875 \nL 26.703125 44 \nQ 28.953125 49.8125 33.609375 52.90625 \nQ 38.28125 56 44.671875 56 \nQ 48 56 50.875 55.171875 \nQ 53.765625 54.34375 56.390625 52.59375 \nz\n\" id=\"DejaVuSansMono-114\"/>\n      <path d=\"M 60.203125 -19.671875 \nL 60.203125 -23.578125 \nL 0 -23.578125 \nL 0 -19.671875 \nz\n\" id=\"DejaVuSansMono-95\"/>\n      <path d=\"M 12.5 54.6875 \nL 35.5 54.6875 \nL 35.5 6.984375 \nL 53.328125 6.984375 \nL 53.328125 0 \nL 8.6875 0 \nL 8.6875 6.984375 \nL 26.515625 6.984375 \nL 26.515625 47.703125 \nL 12.5 47.703125 \nz\nM 26.515625 75.984375 \nL 35.5 75.984375 \nL 35.5 64.59375 \nL 26.515625 64.59375 \nz\n\" id=\"DejaVuSansMono-105\"/>\n      <path d=\"M 33.015625 49.125 \nQ 34.671875 52.640625 37.234375 54.3125 \nQ 39.796875 56 43.40625 56 \nQ 50 56 52.703125 50.890625 \nQ 55.421875 45.796875 55.421875 31.6875 \nL 55.421875 0 \nL 47.21875 0 \nL 47.21875 31.296875 \nQ 47.21875 42.875 45.921875 45.671875 \nQ 44.625 48.484375 41.21875 48.484375 \nQ 37.3125 48.484375 35.859375 45.484375 \nQ 34.421875 42.484375 34.421875 31.296875 \nL 34.421875 0 \nL 26.21875 0 \nL 26.21875 31.296875 \nQ 26.21875 43.015625 24.828125 45.75 \nQ 23.4375 48.484375 19.828125 48.484375 \nQ 16.265625 48.484375 14.875 45.484375 \nQ 13.484375 42.484375 13.484375 31.296875 \nL 13.484375 0 \nL 5.328125 0 \nL 5.328125 54.6875 \nL 13.484375 54.6875 \nL 13.484375 50 \nQ 15.09375 52.9375 17.5 54.46875 \nQ 19.921875 56 23 56 \nQ 26.703125 56 29.171875 54.296875 \nQ 31.640625 52.59375 33.015625 49.125 \nz\n\" id=\"DejaVuSansMono-109\"/>\n      <path d=\"M 54.296875 29.59375 \nL 54.296875 25.203125 \nL 15.375 25.203125 \nL 15.375 24.90625 \nQ 15.375 15.96875 20.03125 11.078125 \nQ 24.703125 6.203125 33.203125 6.203125 \nQ 37.5 6.203125 42.1875 7.5625 \nQ 46.875 8.9375 52.203125 11.71875 \nL 52.203125 2.78125 \nQ 47.078125 0.6875 42.3125 -0.359375 \nQ 37.546875 -1.421875 33.109375 -1.421875 \nQ 20.359375 -1.421875 13.171875 6.21875 \nQ 6 13.875 6 27.296875 \nQ 6 40.375 13.03125 48.1875 \nQ 20.0625 56 31.78125 56 \nQ 42.234375 56 48.265625 48.921875 \nQ 54.296875 41.84375 54.296875 29.59375 \nz\nM 45.3125 32.234375 \nQ 45.125 40.140625 41.578125 44.265625 \nQ 38.03125 48.390625 31.390625 48.390625 \nQ 24.90625 48.390625 20.703125 44.09375 \nQ 16.5 39.796875 15.71875 32.171875 \nz\n\" id=\"DejaVuSansMono-101\"/>\n     </defs>\n     <g transform=\"translate(356.224375 193.995167)scale(0.12 -0.12)\">\n      <use xlink:href=\"#DejaVuSansMono-115\"/>\n      <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-116\"/>\n      <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-97\"/>\n      <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-114\"/>\n      <use x=\"240.820312\" xlink:href=\"#DejaVuSansMono-116\"/>\n      <use x=\"301.025391\" xlink:href=\"#DejaVuSansMono-95\"/>\n      <use x=\"361.230469\" xlink:href=\"#DejaVuSansMono-116\"/>\n      <use x=\"421.435547\" xlink:href=\"#DejaVuSansMono-105\"/>\n      <use x=\"481.640625\" xlink:href=\"#DejaVuSansMono-109\"/>\n      <use x=\"541.845703\" xlink:href=\"#DejaVuSansMono-101\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_5\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m496c0fb8d1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"129.3917\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 40 -->\n      <g transform=\"translate(36.0975 133.950762)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-52\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"103.806585\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 50 -->\n      <g transform=\"translate(36.0975 108.365647)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-53\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"78.22147\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 60 -->\n      <defs>\n       <path d=\"M 31.390625 36.53125 \nQ 26.703125 36.53125 24.234375 33.125 \nQ 21.78125 29.734375 21.78125 23.296875 \nQ 21.78125 16.890625 24.234375 13.5 \nQ 26.703125 10.109375 31.390625 10.109375 \nQ 36.078125 10.109375 38.59375 13.5 \nQ 41.109375 16.890625 41.109375 23.296875 \nQ 41.109375 29.6875 38.59375 33.109375 \nQ 36.078125 36.53125 31.390625 36.53125 \nz\nM 50.296875 71.1875 \nL 50.296875 58.109375 \nQ 46.4375 60.296875 42.890625 61.390625 \nQ 39.359375 62.5 36.078125 62.5 \nQ 28.265625 62.5 24.1875 57.25 \nQ 20.125 52 19.921875 41.75 \nQ 22.21875 44.921875 25.78125 46.5 \nQ 29.34375 48.09375 34.1875 48.09375 \nQ 44.046875 48.09375 49.40625 41.859375 \nQ 54.78125 35.640625 54.78125 24.21875 \nQ 54.78125 11.96875 48.75 5.21875 \nQ 42.71875 -1.515625 31.78125 -1.515625 \nQ 18.453125 -1.515625 12.421875 7.421875 \nQ 6.390625 16.359375 6.390625 36.28125 \nQ 6.390625 55.21875 13.765625 64.671875 \nQ 21.140625 74.125 35.890625 74.125 \nQ 39.3125 74.125 42.9375 73.390625 \nQ 46.578125 72.65625 50.296875 71.1875 \nz\n\" id=\"DejaVuSansMono-Bold-54\"/>\n      </defs>\n      <g transform=\"translate(36.0975 82.780532)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-54\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"52.636355\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 70 -->\n      <defs>\n       <path d=\"M 6.59375 72.90625 \nL 52.6875 72.90625 \nL 52.6875 62.703125 \nL 27.984375 0 \nL 13.28125 0 \nL 37.015625 60.203125 \nL 6.59375 60.203125 \nz\n\" id=\"DejaVuSansMono-Bold-55\"/>\n      </defs>\n      <g transform=\"translate(36.0975 57.195417)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-55\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"27.05124\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 80 -->\n      <g transform=\"translate(36.0975 31.610302)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-56\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_10\">\n    <path clip-path=\"url(#p82e0db0b4b)\" d=\"M 87.98262 61.313039 \nL 88.009857 65.321925 \nL 129.218735 82.985982 \nL 130.196205 41.004029 \nL 166.013252 129.116206 \nL 177.390434 52.999878 \nL 191.408257 66.168631 \nL 221.679619 61.443579 \nL 232.422043 51.057997 \nL 263.814598 57.018726 \nL 277.142944 83.827435 \nL 307.072266 88.473005 \nL 313.74427 67.760496 \nL 342.517769 96.776093 \nL 354.309692 99.981956 \nL 375.906303 19.609636 \nL 386.940933 13.005534 \nL 428.404869 43.122774 \nL 441.066467 46.602141 \nL 475.076096 94.788399 \nL 486.847885 66.162501 \nL 508.985085 42.433316 \nL 527.797699 56.534883 \nL 555.797966 64.696642 \nL 571.130074 85.904122 \nL 597.130043 55.13119 \nL 607.211929 70.738882 \nL 640.812798 25.160517 \nL 647.114677 31.494647 \nL 691.927391 71.879651 \nL 696.709885 61.131717 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-opacity:0.7;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 57.54625 134.921739 \nL 57.54625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 727.14625 134.921739 \nL 727.14625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 57.546249 134.921739 \nL 727.146255 134.921739 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 57.546249 7.2 \nL 727.146255 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 65.94625 34.41375 \nL 162.14125 34.41375 \nQ 164.54125 34.41375 164.54125 32.01375 \nL 164.54125 15.6 \nQ 164.54125 13.2 162.14125 13.2 \nL 65.94625 13.2 \nQ 63.54625 13.2 63.54625 15.6 \nL 63.54625 32.01375 \nQ 63.54625 34.41375 65.94625 34.41375 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_11\">\n     <path d=\"M 68.34625 22.918125 \nL 92.34625 22.918125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-opacity:0.7;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_12\"/>\n    <g id=\"text_11\">\n     <!-- duration -->\n     <defs>\n      <path d=\"M 38.625 46.921875 \nL 38.625 75.984375 \nL 52.875 75.984375 \nL 52.875 0 \nL 38.625 0 \nL 38.625 8.109375 \nQ 36.328125 3.375 32.6875 0.96875 \nQ 29.046875 -1.421875 24.125 -1.421875 \nQ 14.75 -1.421875 9.5625 6.09375 \nQ 4.390625 13.625 4.390625 27.296875 \nQ 4.390625 41.15625 9.640625 48.578125 \nQ 14.890625 56 24.609375 56 \nQ 29 56 32.484375 53.734375 \nQ 35.984375 51.46875 38.625 46.921875 \nz\nM 18.703125 27.203125 \nQ 18.703125 19.28125 21.328125 14.78125 \nQ 23.96875 10.296875 28.609375 10.296875 \nQ 33.25 10.296875 35.9375 14.78125 \nQ 38.625 19.28125 38.625 27.203125 \nQ 38.625 35.109375 35.9375 39.59375 \nQ 33.25 44.09375 28.609375 44.09375 \nQ 23.96875 44.09375 21.328125 39.59375 \nQ 18.703125 35.109375 18.703125 27.203125 \nz\n\" id=\"DejaVuSansMono-Bold-100\"/>\n      <path d=\"M 7.8125 19.09375 \nL 7.8125 54.6875 \nL 22.125 54.6875 \nL 22.125 21.296875 \nQ 22.125 15.375 23.78125 12.828125 \nQ 25.4375 10.296875 29.296875 10.296875 \nQ 33.15625 10.296875 35.328125 13.71875 \nQ 37.5 17.140625 37.5 23.296875 \nL 37.5 54.6875 \nL 51.8125 54.6875 \nL 51.8125 0 \nL 37.5 0 \nL 37.5 8.109375 \nQ 35.984375 3.5625 32.34375 1.0625 \nQ 28.71875 -1.421875 23.578125 -1.421875 \nQ 15.765625 -1.421875 11.78125 3.75 \nQ 7.8125 8.9375 7.8125 19.09375 \nz\n\" id=\"DejaVuSansMono-Bold-117\"/>\n      <path d=\"M 56.203125 39.59375 \nQ 53.859375 41.75 50.703125 42.8125 \nQ 47.5625 43.890625 43.796875 43.890625 \nQ 39.265625 43.890625 35.859375 42.296875 \nQ 32.46875 40.71875 30.609375 37.703125 \nQ 29.4375 35.84375 28.96875 33.203125 \nQ 28.515625 30.5625 28.515625 25.203125 \nL 28.515625 0 \nL 14.203125 0 \nL 14.203125 54.6875 \nL 28.515625 54.6875 \nL 28.515625 46.1875 \nQ 30.609375 50.875 34.953125 53.4375 \nQ 39.3125 56 45.125 56 \nQ 48.046875 56 50.84375 55.296875 \nQ 53.65625 54.59375 56.203125 53.21875 \nz\n\" id=\"DejaVuSansMono-Bold-114\"/>\n      <path d=\"M 34.1875 25.6875 \nQ 26.171875 25.6875 23 23.625 \nQ 19.828125 21.578125 19.828125 16.609375 \nQ 19.828125 12.890625 22.015625 10.6875 \nQ 24.21875 8.5 27.984375 8.5 \nQ 33.640625 8.5 36.765625 12.765625 \nQ 39.890625 17.046875 39.890625 24.703125 \nL 39.890625 25.6875 \nz\nM 54.109375 31.203125 \nL 54.109375 0 \nL 39.890625 0 \nL 39.890625 6.109375 \nQ 37.3125 2.484375 33.25 0.53125 \nQ 29.203125 -1.421875 24.3125 -1.421875 \nQ 14.984375 -1.421875 9.78125 3.515625 \nQ 4.59375 8.453125 4.59375 17.28125 \nQ 4.59375 26.859375 10.796875 31.421875 \nQ 17 35.984375 29.984375 35.984375 \nL 39.890625 35.984375 \nL 39.890625 38.375 \nQ 39.890625 41.84375 37.375 43.625 \nQ 34.859375 45.40625 29.984375 45.40625 \nQ 24.859375 45.40625 20.046875 44.109375 \nQ 15.234375 42.828125 10.015625 39.984375 \nL 10.015625 52.203125 \nQ 14.75 54.15625 19.625 55.078125 \nQ 24.515625 56 29.984375 56 \nQ 43.3125 56 48.703125 50.578125 \nQ 54.109375 45.171875 54.109375 31.203125 \nz\n\" id=\"DejaVuSansMono-Bold-97\"/>\n      <path d=\"M 33.6875 70.21875 \nL 33.6875 54.6875 \nL 52.390625 54.6875 \nL 52.390625 43.703125 \nL 33.6875 43.703125 \nL 33.6875 17.828125 \nQ 33.6875 14.15625 35.46875 12.5625 \nQ 37.25 10.984375 41.40625 10.984375 \nL 52.390625 10.984375 \nL 52.390625 0 \nL 40.375 0 \nQ 28.078125 0 23.734375 3.921875 \nQ 19.390625 7.859375 19.390625 18.5 \nL 19.390625 43.703125 \nL 5.421875 43.703125 \nL 5.421875 54.6875 \nL 19.390625 54.6875 \nL 19.390625 70.21875 \nz\n\" id=\"DejaVuSansMono-Bold-116\"/>\n      <path d=\"M 10.796875 54.6875 \nL 39.109375 54.6875 \nL 39.109375 10.984375 \nL 56.890625 10.984375 \nL 56.890625 0 \nL 6.984375 0 \nL 6.984375 10.984375 \nL 24.8125 10.984375 \nL 24.8125 43.703125 \nL 10.796875 43.703125 \nz\nM 24.8125 81.296875 \nL 39.109375 81.296875 \nL 39.109375 64.59375 \nL 24.8125 64.59375 \nz\n\" id=\"DejaVuSansMono-Bold-105\"/>\n      <path d=\"M 30.078125 44.390625 \nQ 24.953125 44.390625 22.015625 39.875 \nQ 19.09375 35.359375 19.09375 27.296875 \nQ 19.09375 19.234375 22.015625 14.71875 \nQ 24.953125 10.203125 30.078125 10.203125 \nQ 35.25 10.203125 38.171875 14.71875 \nQ 41.109375 19.234375 41.109375 27.296875 \nQ 41.109375 35.359375 38.171875 39.875 \nQ 35.25 44.390625 30.078125 44.390625 \nz\nM 4.78125 27.296875 \nQ 4.78125 40.53125 11.640625 48.265625 \nQ 18.5 56 30.078125 56 \nQ 41.703125 56 48.5625 48.265625 \nQ 55.421875 40.53125 55.421875 27.296875 \nQ 55.421875 14.0625 48.5625 6.3125 \nQ 41.703125 -1.421875 30.078125 -1.421875 \nQ 18.5 -1.421875 11.640625 6.3125 \nQ 4.78125 14.0625 4.78125 27.296875 \nz\n\" id=\"DejaVuSansMono-Bold-111\"/>\n      <path d=\"M 52.296875 35.5 \nL 52.296875 0 \nL 38.09375 0 \nL 38.09375 33.296875 \nQ 38.09375 39.265625 36.40625 41.828125 \nQ 34.71875 44.390625 30.90625 44.390625 \nQ 27.046875 44.390625 24.828125 40.921875 \nQ 22.609375 37.453125 22.609375 31.296875 \nL 22.609375 0 \nL 8.40625 0 \nL 8.40625 54.6875 \nL 22.609375 54.6875 \nL 22.609375 46.484375 \nQ 24.125 51.03125 27.78125 53.515625 \nQ 31.453125 56 36.625 56 \nQ 44.390625 56 48.34375 50.84375 \nQ 52.296875 45.703125 52.296875 35.5 \nz\n\" id=\"DejaVuSansMono-Bold-110\"/>\n     </defs>\n     <g transform=\"translate(101.94625 27.118125)scale(0.12 -0.12)\">\n      <use xlink:href=\"#DejaVuSansMono-Bold-100\"/>\n      <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-117\"/>\n      <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-114\"/>\n      <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-97\"/>\n      <use x=\"240.820312\" xlink:href=\"#DejaVuSansMono-Bold-116\"/>\n      <use x=\"301.025391\" xlink:href=\"#DejaVuSansMono-Bold-105\"/>\n      <use x=\"361.230469\" xlink:href=\"#DejaVuSansMono-Bold-111\"/>\n      <use x=\"421.435547\" xlink:href=\"#DejaVuSansMono-Bold-110\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_2\">\n   <g id=\"patch_8\">\n    <path d=\"M 57.54625 288.187826 \nL 727.14625 288.187826 \nL 727.14625 160.466087 \nL 57.54625 160.466087 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_3\">\n    <g id=\"xtick_5\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"87.982614\" xlink:href=\"#m3820c0a6a7\" y=\"288.187826\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0 -->\n      <g transform=\"translate(84.370426 304.305951)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"234.663884\" xlink:href=\"#m3820c0a6a7\" y=\"288.187826\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 200 -->\n      <g transform=\"translate(223.827322 304.305951)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"381.345155\" xlink:href=\"#m3820c0a6a7\" y=\"288.187826\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 400 -->\n      <g transform=\"translate(370.508592 304.305951)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-52\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_16\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"528.026425\" xlink:href=\"#m3820c0a6a7\" y=\"288.187826\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 600 -->\n      <g transform=\"translate(517.189863 304.305951)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-54\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_17\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"674.707696\" xlink:href=\"#m3820c0a6a7\" y=\"288.187826\"/>\n      </g>\n     </g>\n     <g id=\"text_16\">\n      <!-- 800 -->\n      <g transform=\"translate(663.871133 304.305951)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-56\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_4\">\n    <g id=\"ytick_6\">\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"282.382292\"/>\n      </g>\n     </g>\n     <g id=\"text_17\">\n      <!-- −0.050 -->\n      <defs>\n       <path d=\"M 3.21875 37.203125 \nL 56.890625 37.203125 \nL 56.890625 25.59375 \nL 3.21875 25.59375 \nz\n\" id=\"DejaVuSansMono-Bold-8722\"/>\n       <path d=\"M 21.921875 17.921875 \nL 38.1875 17.921875 \nL 38.1875 0 \nL 21.921875 0 \nz\n\" id=\"DejaVuSansMono-Bold-46\"/>\n      </defs>\n      <g transform=\"translate(7.2 286.941355)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-8722\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"240.820312\" xlink:href=\"#DejaVuSansMono-Bold-53\"/>\n       <use x=\"301.025391\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_19\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"253.354625\"/>\n      </g>\n     </g>\n     <g id=\"text_18\">\n      <!-- −0.025 -->\n      <g transform=\"translate(7.2 257.913687)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-8722\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"240.820312\" xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n       <use x=\"301.025391\" xlink:href=\"#DejaVuSansMono-Bold-53\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_20\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"224.326957\"/>\n      </g>\n     </g>\n     <g id=\"text_19\">\n      <!-- 0.000 -->\n      <g transform=\"translate(14.424375 228.886019)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"240.820312\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_21\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"195.299289\"/>\n      </g>\n     </g>\n     <g id=\"text_20\">\n      <!-- 0.025 -->\n      <g transform=\"translate(14.424375 199.858351)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n       <use x=\"240.820312\" xlink:href=\"#DejaVuSansMono-Bold-53\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_10\">\n     <g id=\"line2d_22\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"166.271621\"/>\n      </g>\n     </g>\n     <g id=\"text_21\">\n      <!-- 0.050 -->\n      <g transform=\"translate(14.424375 170.830683)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-53\"/>\n       <use x=\"240.820312\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_23\">\n    <path clip-path=\"url(#p22ff4ca26f)\" d=\"M 87.982614 224.326957 \nL 162.790062 224.326957 \nM 164.256874 224.326957 \nL 239.064322 224.326957 \nM 240.531135 224.326957 \nL 315.338583 224.326957 \nM 316.805396 224.326957 \nL 391.612844 224.326957 \nM 393.079656 224.326957 \nL 467.887104 224.326957 \nM 469.353917 224.326957 \nL 544.161365 224.326957 \nM 545.628178 224.326957 \nL 620.435626 224.326957 \nM 621.902438 224.326957 \nL 696.709886 224.326957 \nL 696.709886 224.326957 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-opacity:0.7;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_9\">\n    <path d=\"M 57.54625 288.187826 \nL 57.54625 160.466087 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_10\">\n    <path d=\"M 727.14625 288.187826 \nL 727.14625 160.466087 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_11\">\n    <path d=\"M 57.54625 288.187826 \nL 727.14625 288.187826 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_12\">\n    <path d=\"M 57.54625 160.466087 \nL 727.14625 160.466087 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_2\">\n    <g id=\"patch_13\">\n     <path d=\"M 651.44875 187.679837 \nL 718.74625 187.679837 \nQ 721.14625 187.679837 721.14625 185.279837 \nL 721.14625 168.866087 \nQ 721.14625 166.466087 718.74625 166.466087 \nL 651.44875 166.466087 \nQ 649.04875 166.466087 649.04875 168.866087 \nL 649.04875 185.279837 \nQ 649.04875 187.679837 651.44875 187.679837 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_24\">\n     <path d=\"M 653.84875 176.184212 \nL 677.84875 176.184212 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-opacity:0.7;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_25\"/>\n    <g id=\"text_22\">\n     <!-- mean -->\n     <defs>\n      <path d=\"M 33.6875 49.21875 \nQ 35.296875 52.6875 37.78125 54.34375 \nQ 40.28125 56 43.890625 56 \nQ 50.984375 56 53.6875 51.109375 \nQ 56.390625 46.234375 56.390625 30.8125 \nL 56.390625 0 \nL 44.671875 0 \nL 44.671875 35.109375 \nQ 44.671875 41.21875 43.75 43.265625 \nQ 42.828125 45.3125 40.375 45.3125 \nQ 37.9375 45.3125 36.953125 43.203125 \nQ 35.984375 41.109375 35.984375 35.109375 \nL 35.984375 0 \nL 24.421875 0 \nL 24.421875 35.109375 \nQ 24.421875 41.109375 23.4375 43.203125 \nQ 22.46875 45.3125 20.015625 45.3125 \nQ 17.578125 45.3125 16.640625 43.265625 \nQ 15.71875 41.21875 15.71875 35.109375 \nL 15.71875 0 \nL 4 0 \nL 4 54.6875 \nL 14.40625 54.6875 \nL 14.40625 49.03125 \nQ 15.625 52.25 18.3125 54.125 \nQ 21 56 24.3125 56 \nQ 27.640625 56 30.375 54.015625 \nQ 33.109375 52.046875 33.6875 49.21875 \nz\n\" id=\"DejaVuSansMono-Bold-109\"/>\n      <path d=\"M 53.8125 2.6875 \nQ 48.828125 0.640625 43.65625 -0.390625 \nQ 38.484375 -1.421875 32.71875 -1.421875 \nQ 19 -1.421875 11.75 5.921875 \nQ 4.5 13.28125 4.5 27.09375 \nQ 4.5 40.484375 11.46875 48.234375 \nQ 18.453125 56 30.515625 56 \nQ 42.671875 56 49.390625 48.796875 \nQ 56.109375 41.609375 56.109375 28.515625 \nL 56.109375 22.703125 \nL 19.046875 22.703125 \nQ 19.09375 16.265625 22.84375 13.078125 \nQ 26.609375 9.90625 34.078125 9.90625 \nQ 39.015625 9.90625 43.796875 11.328125 \nQ 48.578125 12.75 53.8125 15.828125 \nz\nM 41.703125 33.453125 \nQ 41.609375 39.109375 38.796875 42.015625 \nQ 35.984375 44.921875 30.515625 44.921875 \nQ 25.59375 44.921875 22.65625 41.921875 \nQ 19.734375 38.921875 19.1875 33.40625 \nz\n\" id=\"DejaVuSansMono-Bold-101\"/>\n     </defs>\n     <g transform=\"translate(687.44875 180.384212)scale(0.12 -0.12)\">\n      <use xlink:href=\"#DejaVuSansMono-Bold-109\"/>\n      <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-101\"/>\n      <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-97\"/>\n      <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-110\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_3\">\n   <g id=\"patch_14\">\n    <path d=\"M 57.54625 441.453913 \nL 727.14625 441.453913 \nL 727.14625 313.732174 \nL 57.54625 313.732174 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_5\">\n    <g id=\"xtick_10\">\n     <g id=\"line2d_26\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"87.982614\" xlink:href=\"#m3820c0a6a7\" y=\"441.453913\"/>\n      </g>\n     </g>\n     <g id=\"text_23\">\n      <!-- 0 -->\n      <g transform=\"translate(84.370426 457.572038)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_11\">\n     <g id=\"line2d_27\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"235.018187\" xlink:href=\"#m3820c0a6a7\" y=\"441.453913\"/>\n      </g>\n     </g>\n     <g id=\"text_24\">\n      <!-- 50 -->\n      <g transform=\"translate(227.793812 457.572038)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-53\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_12\">\n     <g id=\"line2d_28\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"382.05376\" xlink:href=\"#m3820c0a6a7\" y=\"441.453913\"/>\n      </g>\n     </g>\n     <g id=\"text_25\">\n      <!-- 100 -->\n      <g transform=\"translate(371.217197 457.572038)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-49\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_13\">\n     <g id=\"line2d_29\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"529.089333\" xlink:href=\"#m3820c0a6a7\" y=\"441.453913\"/>\n      </g>\n     </g>\n     <g id=\"text_26\">\n      <!-- 150 -->\n      <g transform=\"translate(518.252771 457.572038)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-49\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-53\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_14\">\n     <g id=\"line2d_30\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"676.124906\" xlink:href=\"#m3820c0a6a7\" y=\"441.453913\"/>\n      </g>\n     </g>\n     <g id=\"text_27\">\n      <!-- 200 -->\n      <g transform=\"translate(665.288344 457.572038)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_6\">\n    <g id=\"ytick_11\">\n     <g id=\"line2d_31\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"435.648379\"/>\n      </g>\n     </g>\n     <g id=\"text_28\">\n      <!-- 0.0 -->\n      <g transform=\"translate(28.873125 440.207442)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_12\">\n     <g id=\"line2d_32\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"399.263442\"/>\n      </g>\n     </g>\n     <g id=\"text_29\">\n      <!-- 0.5 -->\n      <g transform=\"translate(28.873125 403.822504)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-53\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_13\">\n     <g id=\"line2d_33\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"362.878504\"/>\n      </g>\n     </g>\n     <g id=\"text_30\">\n      <!-- 1.0 -->\n      <g transform=\"translate(28.873125 367.437566)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-49\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_14\">\n     <g id=\"line2d_34\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"326.493566\"/>\n      </g>\n     </g>\n     <g id=\"text_31\">\n      <!-- 1.5 -->\n      <g transform=\"translate(28.873125 331.052628)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-49\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-53\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_32\">\n     <!-- 1e9 -->\n     <defs>\n      <path d=\"M 9.90625 0.984375 \nL 9.90625 14.109375 \nQ 13.765625 11.859375 17.296875 10.78125 \nQ 20.84375 9.71875 24.125 9.71875 \nQ 31.890625 9.71875 35.96875 14.921875 \nQ 40.046875 20.125 40.28125 30.46875 \nQ 37.984375 27.296875 34.421875 25.703125 \nQ 30.859375 24.125 25.984375 24.125 \nQ 16.15625 24.125 10.78125 30.34375 \nQ 5.421875 36.578125 5.421875 48 \nQ 5.421875 60.203125 11.421875 66.890625 \nQ 17.4375 73.578125 28.421875 73.578125 \nQ 41.75 73.578125 47.78125 64.671875 \nQ 53.8125 55.765625 53.8125 35.890625 \nQ 53.8125 17 46.4375 7.546875 \nQ 39.0625 -1.90625 24.3125 -1.90625 \nQ 20.90625 -1.90625 17.265625 -1.171875 \nQ 13.625 -0.4375 9.90625 0.984375 \nz\nM 28.8125 36.1875 \nQ 33.453125 36.1875 35.90625 39.578125 \nQ 38.375 42.96875 38.375 49.421875 \nQ 38.375 55.8125 35.90625 59.203125 \nQ 33.453125 62.59375 28.8125 62.59375 \nQ 24.125 62.59375 21.609375 59.203125 \nQ 19.09375 55.8125 19.09375 49.421875 \nQ 19.09375 43.015625 21.609375 39.59375 \nQ 24.125 36.1875 28.8125 36.1875 \nz\n\" id=\"DejaVuSansMono-Bold-57\"/>\n     </defs>\n     <g transform=\"translate(57.54625 310.732174)scale(0.12 -0.12)\">\n      <use xlink:href=\"#DejaVuSansMono-Bold-49\"/>\n      <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-101\"/>\n      <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-57\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_35\">\n    <path clip-path=\"url(#p083676f922)\" d=\"M 87.982614 319.537782 \nL 696.709886 319.537708 \nL 696.709886 319.537708 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-opacity:0.7;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_36\">\n    <path clip-path=\"url(#p083676f922)\" d=\"M 87.982614 435.648379 \nL 387.935183 435.648379 \nM 393.816606 435.648378 \nL 693.769175 435.648378 \nL 693.769175 435.648378 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-opacity:0.7;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_15\">\n    <path d=\"M 57.54625 441.453913 \nL 57.54625 313.732174 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_16\">\n    <path d=\"M 727.14625 441.453913 \nL 727.14625 313.732174 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_17\">\n    <path d=\"M 57.54625 441.453913 \nL 727.14625 441.453913 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_18\">\n    <path d=\"M 57.54625 313.732174 \nL 727.14625 313.732174 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_3\">\n    <g id=\"patch_19\">\n     <path d=\"M 651.44875 358.559674 \nL 718.74625 358.559674 \nQ 721.14625 358.559674 721.14625 356.159674 \nL 721.14625 322.132174 \nQ 721.14625 319.732174 718.74625 319.732174 \nL 651.44875 319.732174 \nQ 649.04875 319.732174 649.04875 322.132174 \nL 649.04875 356.159674 \nQ 649.04875 358.559674 651.44875 358.559674 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_37\">\n     <path d=\"M 653.84875 329.450299 \nL 677.84875 329.450299 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-opacity:0.7;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_38\"/>\n    <g id=\"text_33\">\n     <!-- time -->\n     <g transform=\"translate(687.44875 333.650299)scale(0.12 -0.12)\">\n      <use xlink:href=\"#DejaVuSansMono-Bold-116\"/>\n      <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-105\"/>\n      <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-109\"/>\n      <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-101\"/>\n     </g>\n    </g>\n    <g id=\"line2d_39\">\n     <path d=\"M 653.84875 347.064049 \nL 677.84875 347.064049 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-opacity:0.7;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_40\"/>\n    <g id=\"text_34\">\n     <!-- mean -->\n     <g transform=\"translate(687.44875 351.264049)scale(0.12 -0.12)\">\n      <use xlink:href=\"#DejaVuSansMono-Bold-109\"/>\n      <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-101\"/>\n      <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-97\"/>\n      <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-110\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_4\">\n   <g id=\"patch_20\">\n    <path d=\"M 57.54625 594.72 \nL 727.14625 594.72 \nL 727.14625 466.998261 \nL 57.54625 466.998261 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_7\">\n    <g id=\"xtick_15\">\n     <g id=\"line2d_41\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m3820c0a6a7\" y=\"594.72\"/>\n      </g>\n     </g>\n     <g id=\"text_35\">\n      <!-- 0.0 -->\n      <g transform=\"translate(46.709688 610.838125)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_16\">\n     <g id=\"line2d_42\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.46625\" xlink:href=\"#m3820c0a6a7\" y=\"594.72\"/>\n      </g>\n     </g>\n     <g id=\"text_36\">\n      <!-- 0.2 -->\n      <g transform=\"translate(180.629687 610.838125)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_17\">\n     <g id=\"line2d_43\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"325.38625\" xlink:href=\"#m3820c0a6a7\" y=\"594.72\"/>\n      </g>\n     </g>\n     <g id=\"text_37\">\n      <!-- 0.4 -->\n      <g transform=\"translate(314.549688 610.838125)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-52\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_18\">\n     <g id=\"line2d_44\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"459.30625\" xlink:href=\"#m3820c0a6a7\" y=\"594.72\"/>\n      </g>\n     </g>\n     <g id=\"text_38\">\n      <!-- 0.6 -->\n      <g transform=\"translate(448.469688 610.838125)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-54\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_19\">\n     <g id=\"line2d_45\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"593.22625\" xlink:href=\"#m3820c0a6a7\" y=\"594.72\"/>\n      </g>\n     </g>\n     <g id=\"text_39\">\n      <!-- 0.8 -->\n      <g transform=\"translate(582.389688 610.838125)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-56\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_20\">\n     <g id=\"line2d_46\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"727.14625\" xlink:href=\"#m3820c0a6a7\" y=\"594.72\"/>\n      </g>\n     </g>\n     <g id=\"text_40\">\n      <!-- 1.0 -->\n      <g transform=\"translate(716.309687 610.838125)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-49\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_8\">\n    <g id=\"ytick_15\">\n     <g id=\"line2d_47\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"594.72\"/>\n      </g>\n     </g>\n     <g id=\"text_41\">\n      <!-- 0.0 -->\n      <g transform=\"translate(28.873125 599.279063)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_16\">\n     <g id=\"line2d_48\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"569.175652\"/>\n      </g>\n     </g>\n     <g id=\"text_42\">\n      <!-- 0.2 -->\n      <g transform=\"translate(28.873125 573.734715)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_17\">\n     <g id=\"line2d_49\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"543.631304\"/>\n      </g>\n     </g>\n     <g id=\"text_43\">\n      <!-- 0.4 -->\n      <g transform=\"translate(28.873125 548.190367)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-52\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_18\">\n     <g id=\"line2d_50\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"518.086957\"/>\n      </g>\n     </g>\n     <g id=\"text_44\">\n      <!-- 0.6 -->\n      <g transform=\"translate(28.873125 522.646019)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-54\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_19\">\n     <g id=\"line2d_51\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"492.542609\"/>\n      </g>\n     </g>\n     <g id=\"text_45\">\n      <!-- 0.8 -->\n      <g transform=\"translate(28.873125 497.101671)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-56\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_20\">\n     <g id=\"line2d_52\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"57.54625\" xlink:href=\"#m496c0fb8d1\" y=\"466.998261\"/>\n      </g>\n     </g>\n     <g id=\"text_46\">\n      <!-- 1.0 -->\n      <g transform=\"translate(28.873125 471.557323)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-49\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-46\"/>\n       <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"patch_21\">\n    <path d=\"M 57.54625 594.72 \nL 57.54625 466.998261 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_22\">\n    <path d=\"M 727.14625 594.72 \nL 727.14625 466.998261 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_23\">\n    <path d=\"M 57.54625 594.72 \nL 727.14625 594.72 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_24\">\n    <path d=\"M 57.54625 466.998261 \nL 727.14625 466.998261 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p82e0db0b4b\">\n   <rect height=\"127.721739\" width=\"669.6\" x=\"57.54625\" y=\"7.2\"/>\n  </clipPath>\n  <clipPath id=\"p22ff4ca26f\">\n   <rect height=\"127.721739\" width=\"669.6\" x=\"57.54625\" y=\"160.466087\"/>\n  </clipPath>\n  <clipPath id=\"p083676f922\">\n   <rect height=\"127.721739\" width=\"669.6\" x=\"57.54625\" y=\"313.732174\"/>\n  </clipPath>\n </defs>\n</svg>\n",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "# https://pandas.pydata.org/pandas-docs/version/0.23.1/generated/pandas.DataFrame.plot.line.html\n",
    "# qps.plot.line(y=\"worker_id\")\n",
    "fig, axes = plt.subplots(4, 1)\n",
    "\n",
    "qps.plot.line(ax=axes[0], y=\"duration\", color=\"k\", alpha=0.7)\n",
    "gpu.plot.line(ax=axes[1], color=\"k\", alpha=0.7)\n",
    "cpu_mem.plot.line(ax=axes[2], color=\"k\", alpha=0.7)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x11beb2610>"
     },
     "metadata": {},
     "execution_count": 24
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 864x864 with 1 Axes>",
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"701.01125pt\" version=\"1.1\" viewBox=\"0 0 705.44875 701.01125\" width=\"705.44875pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <defs>\n  <style type=\"text/css\">\n*{stroke-linecap:butt;stroke-linejoin:round;}\n  </style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 701.01125 \nL 705.44875 701.01125 \nL 705.44875 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 28.64875 659.52 \nL 698.24875 659.52 \nL 698.24875 7.2 \nL 28.64875 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m637336aea3\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"59.085114\" xlink:href=\"#m637336aea3\" y=\"659.52\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <defs>\n       <path d=\"M 24.03125 36.375 \nQ 24.03125 38.96875 25.78125 40.71875 \nQ 27.546875 42.484375 30.078125 42.484375 \nQ 32.671875 42.484375 34.421875 40.71875 \nQ 36.1875 38.96875 36.1875 36.375 \nQ 36.1875 33.84375 34.421875 32.078125 \nQ 32.671875 30.328125 30.078125 30.328125 \nQ 27.546875 30.328125 25.78125 32.0625 \nQ 24.03125 33.796875 24.03125 36.375 \nz\nM 30.078125 62.015625 \nQ 25.09375 62.015625 22.796875 55.90625 \nQ 20.515625 49.8125 20.515625 36.375 \nQ 20.515625 23 22.796875 16.890625 \nQ 25.09375 10.796875 30.078125 10.796875 \nQ 35.109375 10.796875 37.40625 16.890625 \nQ 39.703125 23 39.703125 36.375 \nQ 39.703125 49.8125 37.40625 55.90625 \nQ 35.109375 62.015625 30.078125 62.015625 \nz\nM 6 36.375 \nQ 6 55.328125 12 64.765625 \nQ 18.015625 74.21875 30.078125 74.21875 \nQ 42.1875 74.21875 48.1875 64.796875 \nQ 54.203125 55.375 54.203125 36.375 \nQ 54.203125 17.4375 48.1875 8 \nQ 42.1875 -1.421875 30.078125 -1.421875 \nQ 18.015625 -1.421875 12 8.03125 \nQ 6 17.484375 6 36.375 \nz\n\" id=\"DejaVuSansMono-Bold-48\"/>\n      </defs>\n      <g transform=\"translate(55.472926 675.638125)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"194.357841\" xlink:href=\"#m637336aea3\" y=\"659.52\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <defs>\n       <path d=\"M 21.1875 12.703125 \nL 51.90625 12.703125 \nL 51.90625 0 \nL 5.609375 0 \nL 5.609375 12.3125 \nL 13.421875 20.609375 \nQ 27.34375 35.40625 30.328125 38.8125 \nQ 33.984375 43.015625 35.59375 46.265625 \nQ 37.203125 49.515625 37.203125 52.6875 \nQ 37.203125 57.5625 34.25 60.21875 \nQ 31.296875 62.890625 25.875 62.890625 \nQ 22.015625 62.890625 17.203125 61.34375 \nQ 12.40625 59.8125 7.171875 56.890625 \nL 7.171875 70.3125 \nQ 12.40625 72.21875 17.40625 73.21875 \nQ 22.40625 74.21875 27 74.21875 \nQ 38.578125 74.21875 45.1875 68.8125 \nQ 51.8125 63.421875 51.8125 54.109375 \nQ 51.8125 49.8125 50.359375 46.046875 \nQ 48.921875 42.28125 45.40625 37.703125 \nQ 42.828125 34.375 31.203125 22.75 \nQ 24.90625 16.453125 21.1875 12.703125 \nz\n\" id=\"DejaVuSansMono-Bold-50\"/>\n      </defs>\n      <g transform=\"translate(190.745653 675.638125)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"329.630568\" xlink:href=\"#m637336aea3\" y=\"659.52\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <defs>\n       <path d=\"M 33.890625 56.890625 \nL 15.484375 28.078125 \nL 33.890625 28.078125 \nz\nM 32.625 72.90625 \nL 47.703125 72.90625 \nL 47.703125 28.078125 \nL 55.71875 28.078125 \nL 55.71875 15.71875 \nL 47.703125 15.71875 \nL 47.703125 0 \nL 33.890625 0 \nL 33.890625 15.71875 \nL 4.984375 15.71875 \nL 4.984375 29.6875 \nz\n\" id=\"DejaVuSansMono-Bold-52\"/>\n      </defs>\n      <g transform=\"translate(326.018381 675.638125)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-52\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"464.903295\" xlink:href=\"#m637336aea3\" y=\"659.52\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <defs>\n       <path d=\"M 31.390625 36.53125 \nQ 26.703125 36.53125 24.234375 33.125 \nQ 21.78125 29.734375 21.78125 23.296875 \nQ 21.78125 16.890625 24.234375 13.5 \nQ 26.703125 10.109375 31.390625 10.109375 \nQ 36.078125 10.109375 38.59375 13.5 \nQ 41.109375 16.890625 41.109375 23.296875 \nQ 41.109375 29.6875 38.59375 33.109375 \nQ 36.078125 36.53125 31.390625 36.53125 \nz\nM 50.296875 71.1875 \nL 50.296875 58.109375 \nQ 46.4375 60.296875 42.890625 61.390625 \nQ 39.359375 62.5 36.078125 62.5 \nQ 28.265625 62.5 24.1875 57.25 \nQ 20.125 52 19.921875 41.75 \nQ 22.21875 44.921875 25.78125 46.5 \nQ 29.34375 48.09375 34.1875 48.09375 \nQ 44.046875 48.09375 49.40625 41.859375 \nQ 54.78125 35.640625 54.78125 24.21875 \nQ 54.78125 11.96875 48.75 5.21875 \nQ 42.71875 -1.515625 31.78125 -1.515625 \nQ 18.453125 -1.515625 12.421875 7.421875 \nQ 6.390625 16.359375 6.390625 36.28125 \nQ 6.390625 55.21875 13.765625 64.671875 \nQ 21.140625 74.125 35.890625 74.125 \nQ 39.3125 74.125 42.9375 73.390625 \nQ 46.578125 72.65625 50.296875 71.1875 \nz\n\" id=\"DejaVuSansMono-Bold-54\"/>\n      </defs>\n      <g transform=\"translate(461.291108 675.638125)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-54\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"600.176023\" xlink:href=\"#m637336aea3\" y=\"659.52\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <defs>\n       <path d=\"M 30.078125 32.515625 \nQ 25.25 32.515625 22.265625 29.46875 \nQ 19.28125 26.421875 19.28125 21.390625 \nQ 19.28125 16.359375 22.265625 13.28125 \nQ 25.25 10.203125 30.078125 10.203125 \nQ 34.90625 10.203125 37.90625 13.328125 \nQ 40.921875 16.453125 40.921875 21.390625 \nQ 40.921875 26.421875 37.9375 29.46875 \nQ 34.96875 32.515625 30.078125 32.515625 \nz\nM 19.390625 38.625 \nQ 13.875 40.53125 10.984375 44.609375 \nQ 8.109375 48.6875 8.109375 54.59375 \nQ 8.109375 63.671875 14.015625 68.9375 \nQ 19.921875 74.21875 30.078125 74.21875 \nQ 40.28125 74.21875 46.1875 68.9375 \nQ 52.09375 63.671875 52.09375 54.59375 \nQ 52.09375 48.734375 49.265625 44.65625 \nQ 46.4375 40.578125 41.015625 38.625 \nQ 47.078125 36.765625 50.484375 31.984375 \nQ 53.90625 27.203125 53.90625 20.515625 \nQ 53.90625 10.015625 47.703125 4.296875 \nQ 41.5 -1.421875 30.078125 -1.421875 \nQ 18.703125 -1.421875 12.5 4.296875 \nQ 6.296875 10.015625 6.296875 20.515625 \nQ 6.296875 27.25 9.765625 32.03125 \nQ 13.234375 36.8125 19.390625 38.625 \nz\nM 20.90625 53.421875 \nQ 20.90625 49.125 23.359375 46.609375 \nQ 25.828125 44.09375 30.078125 44.09375 \nQ 34.375 44.09375 36.84375 46.609375 \nQ 39.3125 49.125 39.3125 53.421875 \nQ 39.3125 57.671875 36.84375 60.125 \nQ 34.375 62.59375 30.078125 62.59375 \nQ 25.875 62.59375 23.390625 60.109375 \nQ 20.90625 57.625 20.90625 53.421875 \nz\n\" id=\"DejaVuSansMono-Bold-56\"/>\n      </defs>\n      <g transform=\"translate(596.563835 675.638125)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-56\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_6\">\n     <!-- x -->\n     <defs>\n      <path d=\"M 54.59375 54.6875 \nL 35.015625 28.515625 \nL 56.5 0 \nL 46.09375 0 \nL 30.078125 21.921875 \nL 14.109375 0 \nL 3.71875 0 \nL 25.203125 28.515625 \nL 5.609375 54.6875 \nL 15.578125 54.6875 \nL 30.078125 34.90625 \nL 44.484375 54.6875 \nz\n\" id=\"DejaVuSansMono-120\"/>\n     </defs>\n     <g transform=\"translate(359.836562 691.315625)scale(0.12 -0.12)\">\n      <use xlink:href=\"#DejaVuSansMono-120\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m114e0e363a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.64875\" xlink:href=\"#m114e0e363a\" y=\"629.869091\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0 -->\n      <g transform=\"translate(14.424375 634.428153)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.64875\" xlink:href=\"#m114e0e363a\" y=\"556.65697\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 10 -->\n      <defs>\n       <path d=\"M 9.1875 12.703125 \nL 25.296875 12.703125 \nL 25.296875 60.015625 \nL 10.296875 56.296875 \nL 10.296875 69.28125 \nL 25.390625 72.90625 \nL 39.3125 72.90625 \nL 39.3125 12.703125 \nL 55.421875 12.703125 \nL 55.421875 0 \nL 9.1875 0 \nz\n\" id=\"DejaVuSansMono-Bold-49\"/>\n      </defs>\n      <g transform=\"translate(7.2 561.216032)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-49\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.64875\" xlink:href=\"#m114e0e363a\" y=\"483.444848\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 488.003911)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-50\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.64875\" xlink:href=\"#m114e0e363a\" y=\"410.232727\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 30 -->\n      <defs>\n       <path d=\"M 26.8125 32.625 \nL 19.09375 32.625 \nL 19.09375 45.3125 \nL 26.8125 45.3125 \nQ 32.171875 45.3125 35.125 47.4375 \nQ 38.09375 49.5625 38.09375 53.421875 \nQ 38.09375 57.46875 35.125 59.734375 \nQ 32.171875 62.015625 26.8125 62.015625 \nQ 22.703125 62.015625 18.015625 60.984375 \nQ 13.328125 59.96875 8.296875 58.015625 \nL 8.296875 71.09375 \nQ 13.328125 72.609375 18.203125 73.40625 \nQ 23.09375 74.21875 27.59375 74.21875 \nQ 39.109375 74.21875 45.546875 69.1875 \nQ 52 64.15625 52 55.328125 \nQ 52 48.828125 48.28125 44.703125 \nQ 44.578125 40.578125 37.703125 39.3125 \nQ 45.515625 37.9375 49.609375 33.078125 \nQ 53.71875 28.21875 53.71875 20.3125 \nQ 53.71875 9.71875 46.921875 4.140625 \nQ 40.140625 -1.421875 27.203125 -1.421875 \nQ 21.6875 -1.421875 16.328125 -0.484375 \nQ 10.984375 0.4375 6.109375 2.203125 \nL 6.109375 15.578125 \nQ 10.6875 13.28125 16.015625 12.078125 \nQ 21.34375 10.890625 27.203125 10.890625 \nQ 33.0625 10.890625 36.46875 13.59375 \nQ 39.890625 16.3125 39.890625 20.90625 \nQ 39.890625 26.515625 36.46875 29.5625 \nQ 33.0625 32.625 26.8125 32.625 \nz\n\" id=\"DejaVuSansMono-Bold-51\"/>\n      </defs>\n      <g transform=\"translate(7.2 414.79179)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-51\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.64875\" xlink:href=\"#m114e0e363a\" y=\"337.020606\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 341.579669)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-52\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.64875\" xlink:href=\"#m114e0e363a\" y=\"263.808485\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 50 -->\n      <defs>\n       <path d=\"M 9.421875 72.90625 \nL 49.03125 72.90625 \nL 49.03125 60.203125 \nL 21.09375 60.203125 \nL 21.09375 46.6875 \nQ 22.859375 47.359375 24.859375 47.671875 \nQ 26.859375 48 29.109375 48 \nQ 39.9375 48 46.671875 41.15625 \nQ 53.421875 34.328125 53.421875 23.390625 \nQ 53.421875 11.921875 46.109375 5.25 \nQ 38.8125 -1.421875 26.21875 -1.421875 \nQ 21.53125 -1.421875 16.75 -0.640625 \nQ 11.96875 0.140625 6.984375 1.703125 \nL 6.984375 14.703125 \nQ 11.03125 12.703125 15.296875 11.6875 \nQ 19.578125 10.6875 23.875 10.6875 \nQ 31.5 10.6875 35.453125 13.9375 \nQ 39.40625 17.1875 39.40625 23.390625 \nQ 39.40625 29.109375 35.46875 32.546875 \nQ 31.546875 35.984375 25 35.984375 \nQ 21.140625 35.984375 17.25 35.03125 \nQ 13.375 34.078125 9.421875 32.171875 \nz\n\" id=\"DejaVuSansMono-Bold-53\"/>\n      </defs>\n      <g transform=\"translate(7.2 268.367547)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-53\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.64875\" xlink:href=\"#m114e0e363a\" y=\"190.596364\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 60 -->\n      <g transform=\"translate(7.2 195.155426)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-54\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.64875\" xlink:href=\"#m114e0e363a\" y=\"117.384242\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 70 -->\n      <defs>\n       <path d=\"M 6.59375 72.90625 \nL 52.6875 72.90625 \nL 52.6875 62.703125 \nL 27.984375 0 \nL 13.28125 0 \nL 37.015625 60.203125 \nL 6.59375 60.203125 \nz\n\" id=\"DejaVuSansMono-Bold-55\"/>\n      </defs>\n      <g transform=\"translate(7.2 121.943305)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-55\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.64875\" xlink:href=\"#m114e0e363a\" y=\"44.172121\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 80 -->\n      <g transform=\"translate(7.2 48.731184)scale(0.12 -0.12)\">\n       <use xlink:href=\"#DejaVuSansMono-Bold-56\"/>\n       <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-48\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p2f65b8eeb4)\" d=\"M 59.085114 629.869091 \nL 126.721477 622.547879 \nL 194.357841 600.584242 \nL 261.994205 563.978182 \nL 329.630568 512.729697 \nL 397.266932 446.838788 \nL 464.903295 366.305455 \nL 532.539659 271.129697 \nL 600.176023 161.311515 \nL 667.812386 36.850909 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p2f65b8eeb4)\" d=\"M 59.085114 629.869091 \nL 126.721477 622.547879 \nL 194.357841 615.226667 \nL 261.994205 607.905455 \nL 329.630568 600.584242 \nL 397.266932 593.26303 \nL 464.903295 585.941818 \nL 532.539659 578.620606 \nL 600.176023 571.299394 \nL 667.812386 563.978182 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 28.64875 659.52 \nL 28.64875 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 698.24875 659.52 \nL 698.24875 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 28.64875 659.52 \nL 698.24875 659.52 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 28.64875 7.2 \nL 698.24875 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 37.04875 69.64125 \nL 104.34625 69.64125 \nQ 106.74625 69.64125 106.74625 67.24125 \nL 106.74625 15.6 \nQ 106.74625 13.2 104.34625 13.2 \nL 37.04875 13.2 \nQ 34.64875 13.2 34.64875 15.6 \nL 34.64875 67.24125 \nQ 34.64875 69.64125 37.04875 69.64125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- color -->\n     <defs>\n      <path d=\"M 51.8125 2.78125 \nQ 48.1875 0.6875 44.03125 -0.359375 \nQ 39.890625 -1.421875 35.109375 -1.421875 \nQ 22.46875 -1.421875 15.328125 6.1875 \nQ 8.203125 13.8125 8.203125 27.296875 \nQ 8.203125 40.828125 15.375 48.46875 \nQ 22.5625 56.109375 35.203125 56.109375 \nQ 39.59375 56.109375 43.671875 55.078125 \nQ 47.75 54.046875 51.8125 51.90625 \nL 51.8125 38.8125 \nQ 48.6875 41.5 44.953125 42.9375 \nQ 41.21875 44.390625 37.203125 44.390625 \nQ 30.21875 44.390625 26.453125 39.9375 \nQ 22.703125 35.5 22.703125 27.296875 \nQ 22.703125 19.09375 26.453125 14.6875 \nQ 30.21875 10.296875 37.203125 10.296875 \nQ 41.359375 10.296875 44.96875 11.6875 \nQ 48.578125 13.09375 51.8125 15.921875 \nz\n\" id=\"DejaVuSansMono-Bold-99\"/>\n      <path d=\"M 30.078125 44.390625 \nQ 24.953125 44.390625 22.015625 39.875 \nQ 19.09375 35.359375 19.09375 27.296875 \nQ 19.09375 19.234375 22.015625 14.71875 \nQ 24.953125 10.203125 30.078125 10.203125 \nQ 35.25 10.203125 38.171875 14.71875 \nQ 41.109375 19.234375 41.109375 27.296875 \nQ 41.109375 35.359375 38.171875 39.875 \nQ 35.25 44.390625 30.078125 44.390625 \nz\nM 4.78125 27.296875 \nQ 4.78125 40.53125 11.640625 48.265625 \nQ 18.5 56 30.078125 56 \nQ 41.703125 56 48.5625 48.265625 \nQ 55.421875 40.53125 55.421875 27.296875 \nQ 55.421875 14.0625 48.5625 6.3125 \nQ 41.703125 -1.421875 30.078125 -1.421875 \nQ 18.5 -1.421875 11.640625 6.3125 \nQ 4.78125 14.0625 4.78125 27.296875 \nz\n\" id=\"DejaVuSansMono-Bold-111\"/>\n      <path d=\"M 18.890625 22.796875 \nL 18.890625 64.984375 \nL 4.390625 64.984375 \nL 4.390625 75.984375 \nL 33.203125 75.984375 \nL 33.203125 22.796875 \nQ 33.203125 16.359375 35.203125 13.671875 \nQ 37.203125 10.984375 42 10.984375 \nL 53.421875 10.984375 \nL 53.421875 0 \nL 37.984375 0 \nQ 27.78125 0 23.328125 5.265625 \nQ 18.890625 10.546875 18.890625 22.796875 \nz\n\" id=\"DejaVuSansMono-Bold-108\"/>\n      <path d=\"M 56.203125 39.59375 \nQ 53.859375 41.75 50.703125 42.8125 \nQ 47.5625 43.890625 43.796875 43.890625 \nQ 39.265625 43.890625 35.859375 42.296875 \nQ 32.46875 40.71875 30.609375 37.703125 \nQ 29.4375 35.84375 28.96875 33.203125 \nQ 28.515625 30.5625 28.515625 25.203125 \nL 28.515625 0 \nL 14.203125 0 \nL 14.203125 54.6875 \nL 28.515625 54.6875 \nL 28.515625 46.1875 \nQ 30.609375 50.875 34.953125 53.4375 \nQ 39.3125 56 45.125 56 \nQ 48.046875 56 50.84375 55.296875 \nQ 53.65625 54.59375 56.203125 53.21875 \nz\n\" id=\"DejaVuSansMono-Bold-114\"/>\n     </defs>\n     <g transform=\"translate(52.636563 27.118125)scale(0.12 -0.12)\">\n      <use xlink:href=\"#DejaVuSansMono-Bold-99\"/>\n      <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-111\"/>\n      <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-108\"/>\n      <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-111\"/>\n      <use x=\"240.820312\" xlink:href=\"#DejaVuSansMono-Bold-114\"/>\n     </g>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 39.44875 40.531875 \nL 63.44875 40.531875 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_17\">\n     <!-- blue -->\n     <defs>\n      <path d=\"M 41.5 27.203125 \nQ 41.5 35.109375 38.859375 39.59375 \nQ 36.234375 44.09375 31.59375 44.09375 \nQ 26.953125 44.09375 24.265625 39.59375 \nQ 21.578125 35.109375 21.578125 27.203125 \nQ 21.578125 19.28125 24.265625 14.78125 \nQ 26.953125 10.296875 31.59375 10.296875 \nQ 36.234375 10.296875 38.859375 14.78125 \nQ 41.5 19.28125 41.5 27.203125 \nz\nM 21.578125 46.921875 \nQ 24.21875 51.46875 27.703125 53.734375 \nQ 31.203125 56 35.59375 56 \nQ 45.3125 56 50.5625 48.578125 \nQ 55.8125 41.15625 55.8125 27.296875 \nQ 55.8125 13.625 50.625 6.09375 \nQ 45.453125 -1.421875 36.078125 -1.421875 \nQ 31.15625 -1.421875 27.484375 0.96875 \nQ 23.828125 3.375 21.578125 8.109375 \nL 21.578125 0 \nL 7.328125 0 \nL 7.328125 75.984375 \nL 21.578125 75.984375 \nz\n\" id=\"DejaVuSansMono-Bold-98\"/>\n      <path d=\"M 7.8125 19.09375 \nL 7.8125 54.6875 \nL 22.125 54.6875 \nL 22.125 21.296875 \nQ 22.125 15.375 23.78125 12.828125 \nQ 25.4375 10.296875 29.296875 10.296875 \nQ 33.15625 10.296875 35.328125 13.71875 \nQ 37.5 17.140625 37.5 23.296875 \nL 37.5 54.6875 \nL 51.8125 54.6875 \nL 51.8125 0 \nL 37.5 0 \nL 37.5 8.109375 \nQ 35.984375 3.5625 32.34375 1.0625 \nQ 28.71875 -1.421875 23.578125 -1.421875 \nQ 15.765625 -1.421875 11.78125 3.75 \nQ 7.8125 8.9375 7.8125 19.09375 \nz\n\" id=\"DejaVuSansMono-Bold-117\"/>\n      <path d=\"M 53.8125 2.6875 \nQ 48.828125 0.640625 43.65625 -0.390625 \nQ 38.484375 -1.421875 32.71875 -1.421875 \nQ 19 -1.421875 11.75 5.921875 \nQ 4.5 13.28125 4.5 27.09375 \nQ 4.5 40.484375 11.46875 48.234375 \nQ 18.453125 56 30.515625 56 \nQ 42.671875 56 49.390625 48.796875 \nQ 56.109375 41.609375 56.109375 28.515625 \nL 56.109375 22.703125 \nL 19.046875 22.703125 \nQ 19.09375 16.265625 22.84375 13.078125 \nQ 26.609375 9.90625 34.078125 9.90625 \nQ 39.015625 9.90625 43.796875 11.328125 \nQ 48.578125 12.75 53.8125 15.828125 \nz\nM 41.703125 33.453125 \nQ 41.609375 39.109375 38.796875 42.015625 \nQ 35.984375 44.921875 30.515625 44.921875 \nQ 25.59375 44.921875 22.65625 41.921875 \nQ 19.734375 38.921875 19.1875 33.40625 \nz\n\" id=\"DejaVuSansMono-Bold-101\"/>\n     </defs>\n     <g transform=\"translate(73.04875 44.731875)scale(0.12 -0.12)\">\n      <use xlink:href=\"#DejaVuSansMono-Bold-98\"/>\n      <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-108\"/>\n      <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-117\"/>\n      <use x=\"180.615234\" xlink:href=\"#DejaVuSansMono-Bold-101\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 39.44875 58.145625 \nL 63.44875 58.145625 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_18\">\n     <!-- red -->\n     <defs>\n      <path d=\"M 38.625 46.921875 \nL 38.625 75.984375 \nL 52.875 75.984375 \nL 52.875 0 \nL 38.625 0 \nL 38.625 8.109375 \nQ 36.328125 3.375 32.6875 0.96875 \nQ 29.046875 -1.421875 24.125 -1.421875 \nQ 14.75 -1.421875 9.5625 6.09375 \nQ 4.390625 13.625 4.390625 27.296875 \nQ 4.390625 41.15625 9.640625 48.578125 \nQ 14.890625 56 24.609375 56 \nQ 29 56 32.484375 53.734375 \nQ 35.984375 51.46875 38.625 46.921875 \nz\nM 18.703125 27.203125 \nQ 18.703125 19.28125 21.328125 14.78125 \nQ 23.96875 10.296875 28.609375 10.296875 \nQ 33.25 10.296875 35.9375 14.78125 \nQ 38.625 19.28125 38.625 27.203125 \nQ 38.625 35.109375 35.9375 39.59375 \nQ 33.25 44.09375 28.609375 44.09375 \nQ 23.96875 44.09375 21.328125 39.59375 \nQ 18.703125 35.109375 18.703125 27.203125 \nz\n\" id=\"DejaVuSansMono-Bold-100\"/>\n     </defs>\n     <g transform=\"translate(73.04875 62.345625)scale(0.12 -0.12)\">\n      <use xlink:href=\"#DejaVuSansMono-Bold-114\"/>\n      <use x=\"60.205078\" xlink:href=\"#DejaVuSansMono-Bold-101\"/>\n      <use x=\"120.410156\" xlink:href=\"#DejaVuSansMono-Bold-100\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p2f65b8eeb4\">\n   <rect height=\"652.32\" width=\"669.6\" x=\"28.64875\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "# https://stackoverflow.com/questions/29233283/plotting-multiple-lines-with-pandas-dataframe\n",
    "df = pd.DataFrame([\n",
    "    ['red', 0, 0],\n",
    "    ['red', 1, 1],\n",
    "    ['red', 2, 2],\n",
    "    ['red', 3, 3],\n",
    "    ['red', 4, 4],\n",
    "    ['red', 5, 5],\n",
    "    ['red', 6, 6],\n",
    "    ['red', 7, 7],\n",
    "    ['red', 8, 8],\n",
    "    ['red', 9, 9],\n",
    "    ['blue', 0, 0],\n",
    "    ['blue', 1, 1],\n",
    "    ['blue', 2, 4],\n",
    "    ['blue', 3, 9],\n",
    "    ['blue', 4, 16],\n",
    "    ['blue', 5, 25],\n",
    "    ['blue', 6, 36],\n",
    "    ['blue', 7, 49],\n",
    "    ['blue', 8, 64],\n",
    "    ['blue', 9, 81],\n",
    "], columns=['color', 'x', 'y'])\n",
    "\n",
    "df = df.pivot(index='x', columns='color', values='y')\n",
    "\n",
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}