Use flask doing web analysis excel results

Technologies used: pyecharts flask

First pip install flask and download pip install pyecharts == 0.5.5

Project structure:

 

 

Code:

Import the Flask Flask from, the render_template 
App = the Flask (name__ __) 
@ app.route ( '/') 
DEF the hello_world (): 
    return the render_template ( 'the test.html') 
@ app.route ( '/ AVG', Methods = [ 'the GET ',' POST ']) 
DEF avg_score (): 
    return render_template ( "different years overall grade point average case .html") 
@ app.route (' / sex ') 
DEF sex_score (): 
    return render_template ( "gender student achievement situation bar graph - line chart .html ") 
@ app.route ( '/ MANY') 
DEF many_score (): 
    return render_template (" a page rendering multiple chart .html ") 
@ app.route ( '/ Bing') 
DEF bing_score (): 
    return the render_template ( "pie .html") 

IF the __name__ == '__main__': 
    app.run (Debug = True)

# Import module xlrd 
Import xlrd 
from pyecharts Import * 
page = Page () # class instantiates page, a page read sequence charts infection 
# Set filename and path 
fname = 'course grade .xlsx' 
# open file 
filename = xlrd.open_workbook ( fname) 
sheets obtained sheet # = filename.nsheets number 
sheet_list = filename.sheet_names () # sheet name 
list_x = [] 
years = [ "2016", "2017", "2018"] # year 
for i in range (len (sheet_list)): 
    ListX = [] # storage class 
    dirx = {} # storage class size 
    listy = [] # score stored 
    diry = {} # store statistics class score 
    sheet = filename.sheets () [i] # current obtained the sheet 
    nrows # = sheet.nrows obtain the current sheet number of rows 
    diravg = {} # average store 
    for J in Range (. 1, nrows): 
        row_datas = sheet.row_values (J) # get all the information of the current row
        listx.append(row_datas[0])
        listy.append(row_datas[4])
    for k in range(len(listx)):
        if listx[k] not  in dirx:
            dirx[listx[k]]=1
            if "".join(listy[k].split())!='缺考':
                diry[listx[k]]=int(listy[k])
            else:
                diry[listx[k]]=0
        else:
            dirx[listx[k]]=dirx[listx[k]]+1
            if "".join(listy[k].split())!='缺考':
                diry[listx[k]]=int(listy[k])+diry[listx[k]]
    for d in dirx:
        if d not  in diravg:
            diravg[d]="%.1f"%(diry.get(d)/dirx.get(d))
    keys=list(diravg.keys())
    values=list(diravg.values())
    bar = Bar (years [i] + " performance analysis") 
    bar.add (years [i], Keys, values) 
    Page.add (bar) 
page.render ( "../ Templates / a page rendering multiple charts. html ") 
Screenshot:

 

# 导入xlrd模块
import xlrd
from pyecharts import Bar
#设置文件名和路径
fname = '课程成绩.xlsx'
# 打开文件
filename = xlrd.open_workbook(fname)
sheets=filename.nsheets#获得sheet的个数
sheet_list = filename.sheet_names()#sheet名字
avg=[]
for i in range(len(sheet_list)):#获取sheet个数
    sheet=filename.sheets()[i]#获取当前的sheet
    nrows=sheet.nrows#获取行数
    sumscore=0#总分
    count=0#学生的个数
    for j in range(1,nrows):
        row_datas = sheet.row_values(j)#获得当前行的所有信息
        if "".join(row_datas[4].split())!='缺考':
            count=count+1
            sumscore+=int(row_datas[4])
    avg.append("%.1f"%(sumscore/count))#存放保留一位小数的成绩
    #print(avg)
years=['2016','2017','2018']#设计x坐标
bar=Bar("标题:不同年份总体平均成绩情况")#设置标题
#画图
bar.add("图注:平均成绩",years,avg,  is_label_show=True)
bar.render("../templates/不同年份总体平均成绩情况.html")

 

 

 

import xlrd
from pyecharts import *
#设置文件名和路径
fname = '课程成绩.xlsx'
# 打开文件
filename = xlrd.open_workbook(fname)
page = Page() # 实例化page类,一个页面顺序熏染读个图表
sheets=filename.nsheets#获得sheet的个数
sheet_list = filename.sheet_names()#sheet名字
dirk={"不及格":0,"及格":0,'良好':0,'优秀':0}
years=["2016","2017","2018"]#年份
for i in range(len(sheet_list)):
    sheet=filename.sheets()[i]#获取当前的sheet
    nrows=sheet.nrows#获取行数
    sumscore=0#总分
    for j in range(1,nrows):
        row_datas = sheet.row_values(j)#获得当前行的所有信息
        if "".join(row_datas[4].split())!='缺考':
            if int(row_datas[4])<60:
                dirk["不及格"]=dirk.get("不及格")+1
            elif 60<=int(row_datas[4])<70 :
                dirk["及格"]=dirk.get("及格")+1
            elif 70<=int(row_datas[4])<90 :
                dirk["良好"]=dirk.get("良好")+1
            else:
                dirk["优秀"]=dirk.get("优秀")+1
    pie = Pie(years[i]+"成绩等级分析")
    listname=list(dirk.keys())
    # print(listname)
    attr = []
    for i  in  listname:
        attr.append(i)
    values=[dirk.get("不及格"),dirk.get("及格"),dirk.get("良好"),dirk.get("优秀")]
    pie.add("", attr, values, is_label_show=True)
    page.add(pie)

page.render("../templates/饼图.html")




#
# attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
# v1 = [11, 12, 13, 10, 10, 10]
# pie = Pie("饼图示例")
# pie.add("", attr, v1, is_label_show=True)
# pie.render('pie.html')