B站视频分析GUI应用-优快云博客

运行代码：
#BiliTkinter


import tkinter as tk
import requests
import json
from PIL import Image,ImageTk
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rcParams
from BilibiliSpider import headers,JsonParse,WebDownloader,UrlFactory,AnalyseA


class BiliWindow:
    def __init__(self,master,dict_json):
        self.master = master
        self.dict_json = dict_json
        
        self.getSearch = None                #获取搜索输入
        self.getEntry = tk.StringVar()     #监听entry框中变量值

    def create_frame(self,dict_json,picture_lpath,picture_path,picanalysis_lpath,picanalysis_path):
        

        #第一框架
        frame = tk.Frame(self.master)
        frame.pack(side=tk.TOP,anchor=tk.N,padx=20,pady=120)
        ##搜索框
        entry = tk.Entry(frame,width=50,highlightthickness=2,textvariable=self.getEntry)
        entry.pack(side=tk.LEFT,ipady=5)

        ##按钮
        def search():
            x = 0
            list = [self.tt,self.at,self.st,self.det,self.pt,self.lt,self.cot,self.sht,self.rt,self.dt,self.ct]

            for i in list:
                i.delete(1.0,tk.END)
            self.getSearch = entry.get()       #获取搜索值
            url = UrlFactory.UrlFactory().getUrlJson(self.getSearch)    #从工厂得到链接
            r = requests.get(url,headers=headers).json()
            JsonParse.JsonParse().parseJsonList(self.dict_json,r)        #生成视频信息字典
            purl = JsonParse.JsonParse().parseJsonImage(r)            #获取视频图片链接
            pic = requests.get(purl).content
            #保存图片
            with open(picture_lpath,'wb') as f:
                f.write(pic)
            
            for i in dict_json:
                
                if x <=11:
                    list[x].insert(tk.END,dict_json[i])            #信息导入text
                x += 1
            p = getTextValue(self.pt)            #播放
            l = getTextValue(self.lt)            #点赞
            co = getTextValue(self.cot)          #收藏
            sh = getTextValue(self.sht)          #分享
            r = getTextValue(self.rt)            #评论
            c = getTextValue(self.ct)            #硬币
            #print(p)
            #生成数据雷达图
            AnalyseA.AnalyseA().draw_analyse(p,l,co,sh,r,c)

            refactor(picture_lpath,picture_path,220,180)
            refactor(picanalysis_lpath,picanalysis_path,417,300)
            self.createImage(picture_path,picanalysis_path)
            

        button = tk.Button(frame,text="s",width=3,height=1,command=search)
        button.pack(padx=10,pady=3)
        
        
        #第二框架
        group = tk.Frame(self.master)
        group.pack()
        match1 = tk.LabelFrame(group,text="视频信息",padx=5,pady=8)
        match1.pack(side="left")
        match2 = tk.LabelFrame(group,text="信息分析图",pady=18)
        match2.pack()
        
        #massage
        ##picture
        p = tk.Label(match1,width=30,height=10,bg="LightPink")
        p.grid(row=0,column=0,rowspan=5,columnspan=3, \
               sticky=tk.W+tk.E+tk.N+tk.S)
        self.pblock = tk.Canvas(p,width=30,height=10,bg="white")
        
        
        ##title
        
        t = tk.Label(match1,width=5,height=2,text="名称:")
        t.grid(row=0,column=3)
        self.tt = tk.Text(match1,width=10,height=2)
        self.tt.grid(row=0,column=4,columnspan=2)

        ##coin
        c = tk.Label(match1,width=5,height=2,text="硬币数:")
        c.grid(row=0,column=6)
        self.ct = tk.Text(match1,width=10,height=1)
        self.ct.grid(row=0,column=7,columnspan=2)

        ##sort
        s = tk.Label(match1,width=5,height=2,text="分类:")
        s.grid(row=1,column=3)
        self.st = tk.Text(match1,width=10,height=1)
        self.st.grid(row=1,column=4,columnspan=2)

        ##aid
        a = tk.Label(match1,width=5,height=2,text="AV:")
        a.grid(row=1,column=6)
        self.at = tk.Text(match1,width=10,height=1)
        self.at.grid(row=1,column=7,columnspan=2)

        ##play
        p = tk.Label(match1,width=5,height=2,text="播放量:")
        p.grid(row=2,column=3)
        self.pt = tk.Text(match1,width=10,height=1)
        self.pt.grid(row=2,column=4,columnspan=2)

        ##like
        l = tk.Label(match1,width=5,height=2,text="点赞数:")
        l.grid(row=2,column=6)
        self.lt = tk.Text(match1,width=10,height=1)
        self.lt.grid(row=2,column=7,columnspan=2)

        ##share
        s = tk.Label(match1,width=5,height=2,text="分享数:")
        s.grid(row=3,column=3)
        self.sht = tk.Text(match1,width=10,height=1)
        self.sht.grid(row=3,column=4,columnspan=2)

        ##collect
        c = tk.Label(match1,width=5,height=2,text="收藏数:")
        c.grid(row=3,column=6)
        self.cot = tk.Text(match1,width=10,height=1)
        self.cot.grid(row=3,column=7,columnspan=2)

        ##reply
        r = tk.Label(match1,width=5,height=2,text="评论数:")
        r.grid(row=4,column=3)
        self.rt = tk.Text(match1,width=10,height=1)
        self.rt.grid(row=4,column=4,columnspan=2)

        ##danmaku
        d = tk.Label(match1,width=5,height=2,text="弹幕数:")
        d.grid(row=4,column=6)
        self.dt = tk.Text(match1,width=10,height=1)
        self.dt.grid(row=4,column=7,columnspan=2)

        ##detail
        de = tk.Label(match1,width=6,height=2,text="视频简介")
        de.grid(row=5,column=0)
        self.det = tk.Text(match1,width=60,height=6)
        self.det.grid(row=6,column=0,rowspan=3,columnspan=9,pady=5)


        #radar
        ##map
        m = tk.Label(match2,width=60,height=18,bg="LightPink")
        m.grid(sticky=tk.W+tk.E+tk.N+tk.S,padx=5)
        self.mblock = tk.Canvas(m,width=60,height=18,bg="white")

    
        
        
        
    def createImage(self,picture_path,picanalysis_path):
        picture = ImageTk.PhotoImage(file=picture_path)
        self.pblock.create_image(110,97,image=picture)   #图片位置
        self.pblock.pack(ipadx=92,ipady=91)              #画布内距
        
        picanalyse = ImageTk.PhotoImage(file=picanalysis_path)
        self.mblock.create_image(211,154,image=picanalyse)
        self.mblock.pack(ipadx=180,ipady=143)
        
        self.master.mainloop()


    

#根据自定义大小截取图片        
def refactor(start_path,new_path,x,y):
    img = Image.open(start_path) 
    img = img.resize((x,y),Image.ANTIALIAS)
    img.save(new_path,quality=96)


#获取text中的信息，并以基本数据类型返回
def getTextValue(a):
    i = int(a.get("0.0","end").replace(" ",""))
    return i
实际运行效果图：