想給予一些比較，所以放上來

Test_Plot.py

from bs4 import BeautifulSoup
import requests
import pandas as pd
import csv
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import time
import datetime

#html匯入----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

sp = BeautifulSoup(open("CCB.html", encoding = 'utf-8-sig' ),"html.parser")
raw_data = sp.select(".ls10")
data2 =""
for name in raw_data:
    data = name.get_text().replace("0230","").replace("SG","").replace("TWD","").replace("US USD 80.00 08/02","").replace(" USD 15.75 08/02","").replace("-GOOGLE","").replace("-","\n").replace("LINODE","").replace("SYNCAC","").replace(".COM","LINODE")
    data2= data + data2
fin = data2.split()
fina = ['08/01' if x == '08/0308/01' else x for x in fin]
fina.remove("08/0208/01")

#pandas_dataframe------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

array = pd.DataFrame(np.array(fina).reshape(15,4),columns=["exp_date","book_date","item","exp"])

for index, value in enumerate(array["exp_date"]):
    array["exp_date"][index] = time.mktime(datetime.datetime.strptime(value + "/2017", "%m/%d/%Y").timetuple())

for index, value in enumerate(array["exp"]):
    array["exp"][index] = value.replace(',', '')

array.exp_date = pd.to_datetime(array.exp_date, unit="s")
array.exp = pd.to_numeric(array.exp)

extr_data = array[["exp_date","exp"]]


extr_data.plot(x='exp_date', y='exp')

plt.show()
#print(extr_data['exp_date'].dtype)
#dataframe to list------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

exp_date = array["exp_date"].values.tolist()
book_date = array["book_date"].values.tolist()
item = array["item"].values.tolist()
exp = array["exp"].values.tolist()

#寫入CSV----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
array.to_csv("res.csv", encoding='big5')

第1版：拿到的原始版
第2版：刪掉註解的失敗版
第3版：此版本有跑出結果，要下班了，來不及寫註解，回家再寫