paper_note/lynx/subgraph_write.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "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": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2100x840 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(7, 14 / 5), ncols=1, nrows=1, constrained_layout=True, dpi=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_name_a = [\n",
    "    \"ModelC\\n2DP$\\\\times$4EP\",\n",
    "    \"ModelC\\n1DP$\\\\times$8EP\",\n",
    "    \"ModelC\\n2DP$\\\\times$8EP\",\n",
    "    \"ModelD\\n16DP$\\\\times$8EP\",\n",
    "    \"ModelD\\n8DP$\\\\times$8EP\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# time\n",
    "data_a = {\n",
    "    labels_name_a[0]: [\n",
    "        random.uniform(190, 250) * 10,\n",
    "        random.uniform(190, 250),\n",
    "    ],  # modela 8DP\n",
    "    labels_name_a[1]: [\n",
    "        random.uniform(190, 250) * 10,\n",
    "        random.uniform(190, 250),\n",
    "    ],  # modela 8TP\n",
    "    labels_name_a[2]: [\n",
    "        random.uniform(190, 250) * 10,\n",
    "        random.uniform(190, 250),\n",
    "    ],  # modela 2DP 4TP\n",
    "    labels_name_a[3]: [\n",
    "        random.uniform(190, 250) * 10,\n",
    "        random.uniform(190, 250),\n",
    "    ],  # modela 2DP 8TP\n",
    "    labels_name_a[4]: [\n",
    "        random.uniform(190, 250) * 10,\n",
    "        random.uniform(190, 250),\n",
    "    ],  # modela 4DP 2TP\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\"DLRover-Lynx without Graph Rewrite\", \"DLRover-Lynx\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(13.333333333333346, 0.5, 'Time (s)')"
      ]
     },
     "execution_count": 7,
     "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, 3100)\n",
    "ax.set_yticks([0, 1500, 3000])\n",
    "ax.set_yticklabels([\"0\", \"1500\", \"3000\"], 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(\"Time (s)\", fontsize=g_label_fontsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f3c24e7f4a0>"
      ]
     },
     "execution_count": 8,
     "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, 0.95),\n",
    "    fontsize=g_label_fontsize - 2,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2100x840 with 1 Axes>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.savefig(\"subgraph_rewrite.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
}