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   "execution_count": 1,
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   "source": [
    "# 导入包\n",
    "import plotly.express as px\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime\n",
    "import random\n",
    "import plotly.offline as py  #设置离线画图\n",
    "import plotly.io as pio"
   ]
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   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 水印效果比较\n",
    "# 日期数据\n",
    "begin = datetime.date(2023,12,6)\n",
    "end = datetime.date(2023,12,20)\n",
    "datelist=[]\n",
    "mydata=[]\n",
    "olddata=[]\n",
    "for i in range((end - begin).days+1):\n",
    "    day = begin + datetime.timedelta(days=i)\n",
    "    datelist.append(day.strftime(\"%Y年%m月%d日\"))\n",
    "    mydata.append([200+int(i*random.choice([204,208,201,206]))+random.randint(-50, 50),\"动态水印（本方法）---  \"])\n",
    "    olddata.append([100+int(i*random.choice([107,103,106,102]))+random.randint(-20,20),\"静态水印          \"])\n",
    "data=[]\n",
    "for i in range(len(datelist)):\n",
    "    data.append([datelist[i],mydata[i][0],mydata[i][1]])\n",
    "    data.append([datelist[i],olddata[i][0],olddata[i][1]])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据\n",
    "df=pd.DataFrame(data,columns=[\"日期\",\"收集IPv6地址数量\",\"水印类型\"])"
   ]
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   "source": [
    "# 绘图\n",
    "fig = px.line(df, x=\"日期\", y=\"收集IPv6地址数量\",markers=True,symbol=\"水印类型\",color=\"水印类型\",template=\"plotly_white\")\n",
    "fig.update_yaxes(\n",
    "    zeroline=True,\n",
    "    linecolor='black',\n",
    "    showline=True,\n",
    "    automargin=True\n",
    ")\n",
    "fig.update_xaxes(\n",
    "    \n",
    "    linecolor='black',\n",
    "    showline=True,\n",
    "    automargin=True\n",
    ")\n",
    "fig.update_layout(\n",
    "        legend=dict(\n",
    "        x=1,\n",
    "        y=1,\n",
    "        title_font_family=\"Times New Roman\",\n",
    "        bordercolor=\"Black\",\n",
    "        borderwidth=2\n",
    "    )\n",
    ")\n",
    "fig.write_html(\"images/水印比较.html\")\n",
    "fig"
   ]
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