Python读取xlsx数据生成图标代码实例

    运行结果:

    程序代码如下:

    
    #将excel中的数据进行读取分析
    import openpyxl
    import numpy as np
    import math
    import matplotlib.pyplot as pit
    wk=openpyxl.load_workbook('信息11.xlsx')
    sheet=wk.active
    rows=sheet.max_row
    cols=sheet.max_column
    lst1=[]
    lst2=[]
    for i in range (1,rows+1):
      size1=sheet.cell(i,1).value
      lst1.append(size1)
      size2 = sheet.cell(i, 2).value
      lst2.append(size2)
    num=0
    dic_size={}
    for item in lst1:
      dic_size[lst1[num]]=lst2[num]
      num+=1
    #弄成百分比的形式
    lst_total=[]
    for item in dic_size:
      lst_total.append([item,dic_size[item]])
    labels=[item[0] for item in lst_total] #使用列表生成式,得到饼图的标签
    fraces=[item[1] for item in lst_total] #饼图中的数据源
    pit.rcParams['font.family']=['SimHei'] #单独的表格乱码的处理方式
    pit.scatter(labels,fraces)
    pit.plot(labels,fraces,color='green')
    pit.bar(labels,fraces,width=5,color='red')
    z1=np.polyfit(labels,fraces,2)
    p1=np.poly1d(z1)
    x = np.linspace(0, 500, 50)
    y=-0.00024*(x**2)+0.1013*(x)+10.23
    pit.plot(x,y,color='purple')
    #pit.savefig('图.jpg')
    yre=[]
    for item in labels:
      y=-0.00024*(item**2)+0.1013*(item)+10.23
      yre.append(round(y,6))
    print(fraces)
    print(yre)
    result=[]
    a=0
    mse=0
    mae=0
    for i in range(0,10):
      a+=round(fraces[i]-yre[i],6)
      mae+=round(math.fabs(fraces[i]-yre[i]),6)
    for i in range(0,10):
      result.append(round(fraces[i] - yre[i]-round(a/10,6), 6))
      mse += round((fraces[i] - yre[i]-round(a/10,6)) * (fraces[i] - yre[i]-round(a/10,6)), 6)
    print(result)
    print('均值',round(a/10,6))
    print('均方误差',round(mse/10,6))
    rmse=math.sqrt(round(mse/10,6))
    print('均方根误差',round(rmse,6))
    print('平均绝对误差',round(mae/10,6))
    print('R平方的数值',1-((round(a/10,6))*round(a/10,6))/round(mse/10,6))
    print(p1)
    #pit.show()

    以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持lingkb。