paper_note/lynx/or_tools.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import random\n",
    "\n",
    "plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
    "plt.rcParams[\"font.size\"] = 16\n",
    "\n",
    "g_label_fontsize = 16\n",
    "\n",
    "colors = [\n",
    "    \"#233142\",\n",
    "    \"#F95959\",\n",
    "]\n",
    "\n",
    "edgecolors = [\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "]\n",
    "\n",
    "hatches = [\"\", \"\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2100x1050 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(7, 7 / 2), ncols=1, nrows=1, constrained_layout=True, dpi=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_name_a = [\n",
    "    \"ModelA\\n8DP\",\n",
    "    \"ModelA\\n8TP\",\n",
    "    \"ModelA\\n2DP$\\\\times$4TP\",\n",
    "    \"ModelA\\n2DP$\\\\times$8TP\",\n",
    "    \"ModelA\\n4DP$\\\\times$2TP\",\n",
    "    \"ModelB\\n8TP\",\n",
    "    \"ModelB\\n4DP$\\\\times$2TP\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MFU\n",
    "data_a = {\n",
    "    labels_name_a[0]: [39.3, 44.4],  # modela 8DP\n",
    "    labels_name_a[1]: [39.3, 43.6],  # modela 8TP\n",
    "    labels_name_a[2]: [33.8, 44.6],  # modela 2DP 4TP\n",
    "    labels_name_a[3]: [38.0, 42.6],  # modela 2DP 8TP\n",
    "    labels_name_a[4]: [36.9, 44.7],  # modela 4DP 2TP\n",
    "    labels_name_a[5]: [43.4, 49.4],  # modelb 8TP\n",
    "    labels_name_a[6]: [37.6, 38.0],  # modelb 4DP 2TP\n",
    "}\n",
    "\n",
    "data_b = [\n",
    "    random.uniform(550, 650),\n",
    "    random.uniform(550, 650),\n",
    "    random.uniform(550, 650),\n",
    "    random.uniform(550, 650),\n",
    "    random.uniform(550, 650),\n",
    "    random.uniform(670, 770),\n",
    "    random.uniform(670, 770),\n",
    "]\n",
    "data_c = [\n",
    "    random.uniform(190, 250),\n",
    "    random.uniform(190, 250),\n",
    "    random.uniform(190, 250),\n",
    "    random.uniform(190, 250),\n",
    "    random.uniform(190, 250),\n",
    "    random.uniform(250, 310),\n",
    "    random.uniform(250, 310),\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\"ILP\", \"DLRover-Lynx\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "bar_width = 0.2\n",
    "group_spaing = 0.15\n",
    "\n",
    "group_positions = {}\n",
    "current_pos = 0\n",
    "\n",
    "x_label_cnt = len(data_a.keys())\n",
    "x_label_group_cnt = 2\n",
    "\n",
    "for idx in range(x_label_cnt):\n",
    "    group_positions[idx] = []\n",
    "    for _ in range(x_label_group_cnt):\n",
    "        group_positions[idx].append(current_pos)\n",
    "        current_pos += bar_width\n",
    "    current_pos += group_spaing\n",
    "\n",
    "group_centers = {}\n",
    "for idx, positions in group_positions.items():\n",
    "    group_centers[idx] = sum(positions) / len(positions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Time (s)')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_set = set()\n",
    "for idx, (x_label, y_data) in enumerate(data_a.items()):\n",
    "    positions = group_positions[idx]\n",
    "\n",
    "    for i, (pos, value, color, edgecolor, hatch, label) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            hatches,\n",
    "            legend_labels,\n",
    "        )\n",
    "    ):\n",
    "        if label in label_set:\n",
    "            local_label = None\n",
    "        else:\n",
    "            local_label = label\n",
    "            label_set.add(local_label)\n",
    "\n",
    "        ax.bar(\n",
    "            pos,\n",
    "            value,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            label=local_label,\n",
    "            hatch=hatch,\n",
    "            edgecolor=edgecolor,\n",
    "        )\n",
    "\n",
    "ax.set_xticks(list(group_centers.values()))\n",
    "ax.set_xticklabels(list(data_a.keys()))\n",
    "\n",
    "ax.set_ylim(0, 100)\n",
    "ax.set_yticks([0, 50, 100])\n",
    "ax.set_yticklabels([\"0\", \"50\", \"100\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax.tick_params(axis=\"x\", bottom=False, labelsize=g_label_fontsize - 4, pad=1)\n",
    "ax.tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "ax.set_ylabel(\"MFU (%)\", fontsize=g_label_fontsize)\n",
    "\n",
    "ax2 = ax.twinx()\n",
    "ax2.plot(list(group_centers.values()), data_b, \"^--\", color=colors[0])\n",
    "ax2.plot(list(group_centers.values()), data_c, \"v--\", color=colors[1])\n",
    "ax2.set_ylim(0, 805)\n",
    "ax2.set_yticks([0, 200, 400, 600, 800])\n",
    "ax2.set_yticklabels([\"0\", \"200\", \"400\", \"600\", \"800\"], rotation=90, va=\"center\")\n",
    "ax2.tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize)\n",
    "ax2.set_ylabel(\"Time (s)\", fontsize=g_label_fontsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f5e841a4b30>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.legend(\n",
    "    ncol=3,\n",
    "    loc=\"upper center\",\n",
    "    frameon=False,\n",
    "    shadow=False,\n",
    "    bbox_to_anchor=(0.5, 0.98),\n",
    "    fontsize=g_label_fontsize,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2100x1050 with 2 Axes>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.savefig(\"or_tool.pdf\", bbox_inches=\"tight\", dpi=1000)\n",
    "fig"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}