从xlxs表格中读取数据画图，本例子包含各种作折线图的细节。若有问题可留言。
表格中数据为三列n行如下图所示。

1.单坐标轴例子

import xlrd
import matplotlib.pyplot as plt
from matplotlib.pyplot import plot,savefig
from pylab import *    
config = {
            "font.family": 'serif',
            "font.size": 15,
            "mathtext.fontset": 'stix',
            "font.serif": ['SimSun'],
         }
rcParams.update(config)
file_name = xlrd.open_workbook('C://Users//自定义路径//表格名称.xlsx')#得到文件
table =file_name.sheets()[0]#得到sheet
nrows = table.nrows         #总行数
ncols = table.ncols         #总列数
i = 0
time = []
y1 = []
y2 = []
while i < nrows:
    ctype_temp = table.cell(i, 1).ctype #得到数字列数据的格式
    time_temp = table.row_values(i)[0] #得到数字列数据
    y1_temp = table.row_values(i)[1]
    y2_temp = table.row_values(i)[2]
    if(ctype_temp == 2):
        time.append(time_temp)
        y1.append(y1_temp)
        y2.append(y2_temp)    
    i=i+1
plt.figure(figsize=(20,10))
plt.xlim(0, 69)
plt.ylim(0.5,3.5)
x_major_locator=MultipleLocator(2)
plt.ylabel(r'标题',labelpad=-15,size=20,position=(-10,1.02),rotation=0)
plt.xticks(rotation=50)
plt.xlabel(r'标题',labelpad=-37,size=20,position=(1.02,-20),rotation=0)
plt.xticks(fontfamily="Times New Roman")
plt.yticks(fontfamily="Times New Roman")
ax=plt.gca()
ax.xaxis.set_major_locator(x_major_locator)
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
plt.tick_params(labelsize=20)
plt.plot(time,y1,label=r'标题',linewidth=3,color = 'blue')
plt.plot(time,y2,label=r'$\mathrm{English}$标题',linewidth=3,linestyle = '--',color = 'orange')
plt.legend(loc=2,prop={'size':20})
savefig('C://Users//自定义路径//'+'图片名称.png',dpi = 500)

生成图片如下所示。

2.双坐标轴例子

file_name = xlrd.open_workbook('C://自定义路径//表格名称.xlsx')#得到文件
table =file_name.sheets()[0]#得到sheet
nrows = table.nrows         #总行数
ncols = table.ncols         #总列数
i = 0
time = []
y1 = []
y2 = []
while i < nrows:
    ctype_temp = table.cell(i, 1).ctype #得到数字列数据的格式
    time_temp = table.row_values(i)[0] #得到数字列数据
    y1_temp = table.row_values(i)[1]
    y2_temp = table.row_values(i)[2]
    if(ctype_temp == 2):
        time.append(time_temp)
        y1.append(y1_temp)
        y2.append(y2_temp)    
    i=i+1
plt.figure(figsize=(20,10))
plt.xlim(0, 69)
plt.ylim(0,1500)
x_major_locator=MultipleLocator(2)
plt.ylabel(r'标题',labelpad=-23,size=20,position=(-6,1.01),rotation=0)
plt.xlabel(r'标题',labelpad=-37,size=20,position=(1.02,-20),rotation=0)
plt.xticks(rotation=50)
plt.xticks(fontfamily="Times New Roman")
plt.yticks(fontfamily="Times New Roman")
ax=plt.gca()
ax.xaxis.set_major_locator(x_major_locator)
ax.spines['top'].set_color('none')
plt.tick_params(labelsize=20)
ax=plt.gca()
ax.xaxis.set_major_locator(x_major_locator)
ax.spines['top'].set_color('none')
plt.plot(time,y1,label=r'$\mathrm{English}$标题',linewidth=3,color = 'blue')
l1 = plt.legend(loc=2,prop={'size':20})
ax2=ax.twinx()
ax2.plot(time,y2,label=r'$\mathrm{English}$标题',linewidth=3,linestyle = '--',color = 'orange')
ax2.set_ylabel(r'%',labelpad=-13,size=20,position=(0,1.047),rotation=0)
ax2.set_ylim([0.5,3])
ax2.tick_params(labelsize=20)
plt.yticks(fontfamily="Times New Roman")
ax=plt.gca()
ax.xaxis.set_major_locator(x_major_locator)
ax.spines['top'].set_color('none')
plt.legend(loc=1,prop={'size':20})

savefig('C://自定义路径//'+'图片名称.png',dpi = 500)