#獲取了炭黑，維生素D3，維生素B1，維生素B2的出廠價變化情況趨勢
這是總的效果及程式碼，結合了tkinter視覺化介面操作

import requests
from lxml import etree
import re
import matplotlib.pyplot as plt
import matplotlib as mpl  # 配置字型
import tkinter as tk

window=tk.Tk()
window.title("公司資訊查詢器")
window.geometry("790x550+500+200")


l1=tk.Label(window,text="價格變化結果：",font="微軟雅黑 11",height=2)
l1.grid()
e1=tk.Text(window,height=30)
# e1=tk.Entry(window,textvariable=var,width=60,)
e1.grid(row=2,column=1)


def click():
    mpl.rcParams["font.sans-serif"] = ["Microsoft YaHei"] #配置字型，不然漢字有的顯示不正常
    date=[]
    price=[]
    for ii in range(1,6):
        url="http://tanhei.100ppi.com/kx/list---{}.html".format(ii)
        html=requests.get(url).text
        new_html=etree.HTML(html)
        content=new_html.xpath('//div[@class="pr-news-txt"]/text()')
        print(content)
        for i in range(len(content)):
            date1=re.findall('(.*?)，炭黑',content[i])[0]
            price1=re.findall('參考價為(.*?)\.',content[i])[0]
            date.append(date1)
            price.append(int(price1))

    date.reverse() #反轉/倒序排序
    price.reverse()
    new=list(zip(date,price))
    e1.insert("end", "炭黑：\n")  # 換行騷操作
    e1.insert("end", new)
    e1.insert("end", "\n\n")  # 換行騷操作
    plt.plot(date,price,'r*-')
    plt.xlabel("時間")
    plt.ylabel("元/每噸")
    plt.title('炭黑價格走勢')
    plt.show()

def click1():
    date = []
    price_vd = []
    price_vb1 = []
    price_vb2 = []
    mpl.rcParams["font.sans-serif"] = ["Microsoft YaHei"]  # 配置字型，不然漢字有的顯示不正常

    for ii in range(0, 3):
        url = "http://www.feedtrade.com.cn/e/search/result/index.php?page={}&searchid=58042".format(ii)
        html = requests.get(url).text
        # print(html)
        new_html = etree.HTML(html)
        content = new_html.xpath('//a[@class="l"]/@href')
        for i in range(len(content)):
            detil = requests.get(url=content[i])
            detil.encoding = 'gbk'
            detil = detil.text
            # print(detil)
            new_detil = new_html = etree.HTML(detil)

            if new_detil.xpath('//td[@class="text"]//tr[4]/td[3]/text()')[0][-2:] == "公斤":
                date1 = new_detil.xpath('//h1/text()')[0]
                date2 = re.findall('年(.*?)北京', date1)[0]
                price1 = new_detil.xpath('//td[@class="text"]//tr[4]/td[3]/text()')[0]
                price2 = new_detil.xpath('//td[@class="text"]//tr[5]/td[3]/text()')[0]
                price3 = new_detil.xpath('//td[@class="text"]//tr[6]/td[3]/text()')[0]
                date.append(date2)
                price_vd.append(int(price1[0:3]))
                price_vb1.append(int(price2[0:3]))
                price_vb2.append(int(price3[0:3]))
            else:
                date1 = new_detil.xpath('//h1/text()')[0]
                date2 = re.findall('年(.*?)北京', date1)[0]
                price1 = new_detil.xpath('//td[@class="text"]//tr[4]/td[4]/text()')[0]
                price2 = new_detil.xpath('//td[@class="text"]//tr[5]/td[4]/text()')[0]
                price3 = new_detil.xpath('//td[@class="text"]//tr[6]/td[4]/text()')[0]
                date.append(date2)
                price_vd.append(int(price1[0:3]))
                price_vb1.append(int(price2[0:3]))
                price_vb2.append(int(price3[0:3]))

    date.reverse()  # 反轉/倒序排序
    price_vd.reverse()
    price_vb1.reverse()
    price_vb2.reverse()
    new1=list(zip(date, price_vd))
    new2 =list(zip(date, price_vb1))
    new3 =list(zip(date, price_vb2))
    e1.insert("end", "維生素D3：\n")  # 換行騷操作
    e1.insert("end", new1)
    e1.insert("end", "\n\n")  # 換行騷操作
    e1.insert("end", "維生素B1：\n")  # 換行騷操作
    e1.insert("end", new2)
    e1.insert("end", "\n\n")  # 換行騷操作
    e1.insert("end", "維生素B2：\n")  # 換行騷操作
    e1.insert("end", new3)
    e1.insert("end", "\n\n")  # 換行騷操作
    fig = plt.figure()
    ax1 = fig.add_subplot(2, 2, 1)
    ax3 = fig.add_subplot(2, 2, 3)
    ax4 = fig.add_subplot(2, 2, 4)

    ax1.plot(date, price_vd, 'r*-')
    ax1.set_title('VD價格走勢')

    ax3.plot(date, price_vb1, 'g*-')
    ax3.set_title('VB1價格走勢')

    ax4.plot(date, price_vb2, 'b*-')
    ax4.set_title('VB2價格走勢')

    plt.show()

b=tk.Button(window,text="炭黑(元/頓)",command=click,width=10,font="微軟雅黑 12")
b.grid(row=6,column=0)
b2=tk.Button(window,text="維生素B/D(元/公斤)",command=click1,width=16,font="微軟雅黑 12")
b2.grid(row=6,column=1)
b1=tk.Button(window,text="退出",command=window.quit,width=10,font="微軟雅黑 12")
b1.grid(row=6,column=2)

window.mainloop()
 

下面是開始分開寫的兩端程式，上面是合併在一起的效果
1.炭黑

import requests
from lxml import etree
import re
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib as mpl  # 配置字型

mpl.rcParams["font.sans-serif"] = ["Microsoft YaHei"] #配置字型，不然漢字有的顯示不正常
date=[]
price=[]
for ii in range(1,6):
    url="http://tanhei.100ppi.com/kx/list---{}.html".format(ii)
    html=requests.get(url).text
    new_html=etree.HTML(html)
    content=new_html.xpath('//div[@class="pr-news-txt"]/text()')
    print(content)
    for i in range(len(content)):
        date1=re.findall('(.*?)，炭黑',content[i])[0]
        price1=re.findall('參考價為(.*?)\.',content[i])[0]
        date.append(date1)
        price.append(int(price1))

date.reverse() #反轉/倒序排序
price.reverse()
print(list(zip(date,price)))
plt.plot(date,price,'r*-')
plt.xlabel("時間")
plt.ylabel("元/每噸")
plt.title('炭黑價格走勢')
plt.show()


 

2.維生素

import requests
from lxml import etree
import re
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib as mpl  # 配置字型

date=[]
price_vd=[]
price_vb1=[]
price_vb2=[]
mpl.rcParams["font.sans-serif"] = ["Microsoft YaHei"] #配置字型，不然漢字有的顯示不正常

for ii in range(0,3):
    url="http://www.feedtrade.com.cn/e/search/result/index.php?page={}&searchid=58042".format(ii)
    html=requests.get(url).text
    # print(html)
    new_html=etree.HTML(html)
    content=new_html.xpath('//a[@class="l"]/@href')
    for i in range(len(content)):
        detil=requests.get(url=content[i])
        detil.encoding='gbk'
        detil=detil.text
        # print(detil)
        new_detil=new_html=etree.HTML(detil)

        if new_detil.xpath('//td[@class="text"]//tr[4]/td[3]/text()')[0][-2:] =="公斤":
            date1=new_detil.xpath('//h1/text()')[0]
            date2=re.findall('年(.*?)北京',date1)[0]
            price1=new_detil.xpath('//td[@class="text"]//tr[4]/td[3]/text()')[0]
            price2=new_detil.xpath('//td[@class="text"]//tr[5]/td[3]/text()')[0]
            price3=new_detil.xpath('//td[@class="text"]//tr[6]/td[3]/text()')[0]
            date.append(date2)
            price_vd.append(int(price1[0:3]))
            price_vb1.append(int(price2[0:3]))
            price_vb2.append(int(price3[0:3]))
        else:
            date1 = new_detil.xpath('//h1/text()')[0]
            date2 = re.findall('年(.*?)北京', date1)[0]
            price1 = new_detil.xpath('//td[@class="text"]//tr[4]/td[4]/text()')[0]
            price2 = new_detil.xpath('//td[@class="text"]//tr[5]/td[4]/text()')[0]
            price3 = new_detil.xpath('//td[@class="text"]//tr[6]/td[4]/text()')[0]
            date.append(date2)
            price_vd.append(int(price1[0:3]))
            price_vb1.append(int(price2[0:3]))
            price_vb2.append(int(price3[0:3]))

date.reverse() #反轉/倒序排序
price_vd.reverse()
price_vb1.reverse()
price_vb2.reverse()
print(list(zip(date,price_vd)))
print(list(zip(date,price_vb1)))
print(list(zip(date,price_vb2)))
fig=plt.figure()
ax1=fig.add_subplot(2,2,1)
ax3=fig.add_subplot(2,2,3)
ax4=fig.add_subplot(2,2,4)

ax1.plot(date,price_vd,'r*-')
ax1.set_title('VD價格走勢')

ax3.plot(date,price_vb1,'g*-')
ax3.set_title('VB1價格走勢')

ax4.plot(date,price_vb2,'b*-')
ax4.set_title('VB2價格走勢')

plt.show()