【python】 读取Excel文件并绘制图表

依赖的包:

1.xlrd

2.matplot

3.numpy

读取excel文件并绘制图表

代码如下: 


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  1. import matplotlib.pyplot as plt

  2. import numpy as np 

  3. import xlrd

  4. import os

  5. from StringIO import StringIO 



  6. if __name__ == '__main__':

  7.     data = xlrd.open_workbook('D:\\tt.xls')

  8.     

  9.     plt.figure(figsize=(8,4))

  10.     plt.xlabel(u'second')

  11.     plt.ylabel(u'xxx') 

  12.    

  13.     

  14.     x_index=

  15.     

  16.     data.sheet_names()

  17.     table = data.sheets()[0]

  18.     table = data.sheet_by_index(0)

  19.     table = data.sheet_by_name(u'Sheet1') 

  20.     print("Good")

  21.     COLOR_INDEX=1

  22.     INDEX_NAME=''

  23.     

  24.     ## init data

  25.     

  26.     

  27.     nrows = table.nrows

  28.     ncols = table.ncols

  29.     print("nr=%d nc=%d \n"%(nrows,ncols)) 

  30.     

  31.     '''

  32.     for rownum in range(table.nrows): 

  33.             value = table.cell(rownum,2).value 

  34.             if rownum == 0:

  35.                 print("")

  36.             else: 

  37.                 try:

  38.                     value_int = int(value)

  39.                     x.append(x_index)

  40.                     y.append(value_int)

  41.                    # line = ax.plot(x_index,value_int,label="xx ",color="red",linewidth=2)

  42.                     #plt.plot(x_index,value_int,label="xx ",color="red",linewidth=2)

  43.                     print("index=%d"%x_index)

  44.                     

  45.                     #plt.plot_date(x_index,value_int)

  46.                     x_index=x_index+1

  47.                 except:

  48.                     print("error") 

  49.     plt.plot(x,y,label="xx ",color="red",linewidth=2) 

  50.     '''

  51.     for colnum in range(table.ncols):

  52.         x=[]

  53.         y=[]

  54.         for rownum in range(table.nrows): 

  55.             value = table.cell(rownum,colnum).value 

  56.             #print("nr=%d nc=%d value=%d \n"%(rownum,colnum,value ))

  57.             #print(value)

  58.             #print("rownum=%d colnum=%d "%(rownum,colnum)) 

  59.             if rownum == 0:

  60.                 print("")

  61.             else: 

  62.                 try:

  63.                     value_int = int(value)

  64.                     x.append(x_index)

  65.                     y.append(value_int)

  66.                     #plt.plot(x_index,value_int,label=" ",color="red",linewidth=2)

  67.                     #print("index=%d"%x_index)

  68.                     

  69.                     #plt.plot_date(x_index,value_int)

  70.                     x_index=x_index+1

  71.                 except:

  72.                     print("error")

  73.         if COLOR_INDEX == 1:

  74.             COLOR_INDEX = 0

  75.             plt.plot(x,y,color="red",linewidth=2)

  76.         else:

  77.             COLOR_INDEX =1

  78.             plt.plot(x,y,color="blue",linewidth=2) 

  79.         print("==============================>")

  80.        

  81.     plt.title("Test")

  82.     #plt.ylim(10,2000)

  83.     plt.legend()

  84.     plt.show()

  85.         

  86.    

  87.     pass



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