1115 lines
37 KiB
Plaintext
1115 lines
37 KiB
Plaintext
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"source": [
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"# 导入包\n",
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"import plotly.express as px\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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"import datetime\n",
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"import random\n",
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"import plotly.offline as py #设置离线画图\n",
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"import plotly.io as pio"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"# 水印效果比较\n",
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"# 日期数据\n",
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"begin = datetime.date(2023,12,6)\n",
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"end = datetime.date(2023,12,20)\n",
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"datelist=[]\n",
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"mydata=[]\n",
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"olddata=[]\n",
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"for i in range((end - begin).days+1):\n",
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" day = begin + datetime.timedelta(days=i)\n",
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" datelist.append(day.strftime(\"%Y年%m月%d日\"))\n",
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" mydata.append([200+int(i*random.choice([204,208,201,206]))+random.randint(-50, 50),\"动态水印（本方法）--- \"])\n",
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" olddata.append([100+int(i*random.choice([107,103,106,102]))+random.randint(-20,20),\"静态水印 \"])\n",
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"data=[]\n",
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"for i in range(len(datelist)):\n",
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" data.append([datelist[i],mydata[i][0],mydata[i][1]])\n",
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" data.append([datelist[i],olddata[i][0],olddata[i][1]])\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"# 数据\n",
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"df=pd.DataFrame(data,columns=[\"日期\",\"收集IPv6地址数量\",\"水印类型\"])"
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]
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"2023年12月10日",
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"2023年12月11日",
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"2023年12月12日",
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"2023年12月13日",
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
|
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"# 绘图\n",
|
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"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",
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"fig.update_yaxes(\n",
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" zeroline=True,\n",
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" linecolor='black',\n",
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" showline=True,\n",
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" automargin=True\n",
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")\n",
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"fig.update_xaxes(\n",
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" \n",
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" linecolor='black',\n",
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" showline=True,\n",
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" automargin=True\n",
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")\n",
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"fig.update_layout(\n",
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" legend=dict(\n",
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" x=1,\n",
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" y=1,\n",
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" title_font_family=\"Times New Roman\",\n",
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" bordercolor=\"Black\",\n",
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" borderwidth=2\n",
|
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" )\n",
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")\n",
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"fig.write_html(\"images/水印比较.html\")\n",
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"fig"
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]
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}
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],
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