底下的範例，在網站中點選超連結後，就會啟動Python的 plotly-express進行資料視覺化分析，然後直接秀在網頁上。
head.html
<!DOCTYPE html>
<html>
<style>
body,html{
height:100%;
margin:0;
}
</style>
<head>
<meta charset="UTF-8">
<title>MahalJsp</title>
</head>
<body>
<table width="100%" height="100%" cellspacing="0" cellpadding="0">
<tr bgcolor="#00ffff" align="center" height="50">
<td style="font-style:italic;font-size:30px;">Mahaljsp</td>
</tr>
<tr bgcolor="#ffff00"height="35">
<td>
<table>
<tr>
<td><a href="/">首頁</a></td>
<td><a href="/stock">台灣股市</a></td>
<td>台灣黃金</td>
</tr>
</table>
</td>
</tr>
<tr>
<td>
tail.html
</td>
</tr>
</table>
</body>
</html>
stock.html
{% include "head.html" %}
<style>
//底下的div用不到，只是註記而以
div{
background-color:#aaaaff;
height:100%;
width:100%;
text-align:center;
margin: 0;
display: flex;
justify-content: center;
align-items: center;
}
iframe{
width:100%;
height:100%;
border:0px solid black;
}
</style>
<!--
<iframe src="/static/tmp.html" width="100%" height="100%" frameborder="0">
-->
<iframe srcdoc="{{data}}">
</iframe>
{% include "tail.html" %}
stock.py
請注意，經由plotly-express分析後的html檔案，一定要儲存在 static指定的目錄中，才可被 iframe 的src 引用。
若是使用 iframe 的srcdoc，則需傳入 fig.to_html() 所產生的html 字串。此種方式在記憶体中運作，不用存檔到硬碟中，所以效能當然會快很多。
import pandas as pd
from django.shortcuts import render
import mysql.connector as mysql
import plotly_express as px
import plotly
import plotly.graph_objects as go
import numpy as np
def html(request):
conn=mysql.connect(host='ip', user='帳號', password='密碼', database='資料庫')
cursor=conn.cursor()
cmd="select * from taiex where tx_date>='2021-01-01' order by tx_date"
cursor.execute(cmd)
rs=cursor.fetchall()
cursor.close()
conn.close()
ls=[]
for r in rs:
ls.append(r)
cols=['id', '日期','openning','highest','lowest','收盤價']
df=pd.DataFrame(ls, columns=cols)
#fig=px.line(df, x='日期', y='收盤價', title='台灣股市')
fig=go.Figure()
fig.add_trace(go.Scatter(x=df['日期'], y=df['收盤價'], name='收盤價', line = dict(color='blue', width=2), showlegend=False))
x=list(range(len(rs)))
f=np.poly1d(np.polyfit(x, df['收盤價'], 10))
reg=f(x)
fig.add_trace(go.Scatter(x=df['日期'], y=reg,name='日k線', line=dict(color='red', width=2)))
data=fig.to_html(include_plotlyjs='cdn')
return render(request, 'stock.html', {'data':data})
home.html
{% include "head.html" %}
<style>
div{
display: flex;
justify-content: center;
align-items: center;
}
</style>
<div>
<img src="/static/images/DSCN4327.JPG" width="640" height="480"/>
</div>
{% include "tail.html" %}