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python 导入数据及作图的实现
站长资源 2024/12/1 佚名
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我们经常需要导入数据，按列提取 XY作图

方法一、

filename='/home/res/user/csluo/test.txt'          #将文件名赋值为变量
 
X,Y,Z=[ ],[ ],[ ]                      #给三个空列表
 
with open(filename, 'r') as f:               #打开文档
  lines=f.readlines()                   #按行读取数据
 
  for i in lines:
 
     value=[ float(s) for s in line.split( ) ]   #将 行数据 以空格分开，并以浮点型赋给value 
 
     X=append(value[0])              #将value 的第一个数值 添加到 列表X
 
     Y=append(value[1])
 
     Z=append(value[2])

方法二、

a = numpy.loadtxt('a.txt')
 
a[:,0]

方法三、

> import pandas as pd
> data = pd.read_csv("aaa.csv")

附录：IRAS16293 的数据 绘图代码 

import matplotlib
import matplotlib.pyplot as plt
import numpy as np
 
##################################################################
######################################################################################### ######## 1
##################################################################
 
 
#data_a
filename = '/home/luoluo/Documents/python_scripts/Adata_cut/A1_145122-145580.txt'
X10,Y10= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]     #以空格分开 行 并输出 浮点数
    X10.append(value[0])
    Y10.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_A/A1/xclass_spectrum_output.dat'
X11,Y11 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X11.append(value[0])
    Y11.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_A/A1/xclass_spectrum_output.dat'
X12,Y12 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X12.append(value[0])
    Y12.append(value[1])
 
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_A/A1/xclass_spectrum_output.dat'
X13,Y13 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X13.append(value[0])
    Y13.append(value[1])
 
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_A/A1/xclass_spectrum_output.dat'
X14,Y14 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X14.append(value[0])
    Y14.append(value[1])
 
###################################################  data_b
 
filename = '/home/luoluo/Documents/python_scripts/Bdata_cut/B1_145122-145580.txt'
X15,Y15= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X15.append(value[0])
    Y15.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_B/B1/xclass_spectrum_output.dat'
X16,Y16 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X16.append(value[0])
    Y16.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_B/B1/xclass_spectrum_output.dat'
X17,Y17 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X17.append(value[0])
    Y17.append(value[1])
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_B/B1/xclass_spectrum_output.dat'
X18,Y18 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X18.append(value[0])
    Y18.append(value[1])
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_B/B1/xclass_spectrum_output.dat'
X19,Y19 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X19.append(value[0])
    Y19.append(value[1])
 
 
 
###################################################################  #2 plot
 
 
 
plt.figure(1)
plt.subplot(211)
plt.axis([145122,145580, -1, 15])
 
new_ticks = np.linspace(145122,145580,10)
plt.xticks(new_ticks)
 
matplotlib.rcParams['xtick.direction'] = 'in'
matplotlib.rcParams['ytick.direction'] = 'in'
plt.plot(X10,Y10,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X11,Y11,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X12,Y12,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X13,Y13,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X14,Y14,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
#plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(145535,13,'IRAS16293A')
 
 
#plt.show()
#plt.savefig('8.png')
 
 
plt.subplot(212)
plt.axis([145122,145580, -1, 15])
 
new_ticks = np.linspace(145122,145580,10)
plt.xticks(new_ticks)
 
plt.plot(X15,Y15,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X16,Y16,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X17,Y17,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X18,Y18,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X19,Y19,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(145535,13,'IRAS16293B')
 
plt.plot([145263,145263],[1,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("C2H5OH", xy = (145263,1), xytext = (145280,9),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.show()
 
##################################################################
######################################################################################### ######## 2
##################################################################
 
 
#data_a
filename = '/home/luoluo/Documents/python_scripts/Adata_cut/A2_145580-146050.txt'
X20,Y20= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X20.append(value[0])
    Y20.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_A/A2/xclass_spectrum_output.dat'
X21,Y21 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X21.append(value[0])
    Y21.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_A/A2/xclass_spectrum_output.dat'
X22,Y22 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X22.append(value[0])
    Y22.append(value[1])
 
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_A/A2/xclass_spectrum_output.dat'
X23,Y23 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X23.append(value[0])
    Y23.append(value[1])
 
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_A/A2/xclass_spectrum_output.dat'
X24,Y24 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X24.append(value[0])
    Y24.append(value[1])
 
###################################################  data_b
 
filename = '/home/luoluo/Documents/python_scripts/Bdata_cut/B2.txt'
X25,Y25= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X25.append(value[0])
    Y25.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_B/B2/xclass_spectrum_output.dat'
X26,Y26 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X26.append(value[0])
    Y26.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_B/B2/xclass_spectrum_output.dat'
X27,Y27 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X27.append(value[0])
    Y27.append(value[1])
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_B/B2/xclass_spectrum_output.dat'
X28,Y28 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X28.append(value[0])
    Y28.append(value[1])
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_B/B2/xclass_spectrum_output.dat'
X29,Y29 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X29.append(value[0])
    Y29.append(value[1])
 
 
 
###################################################################  #2 plot
 
 
 
plt.figure(2)
plt.subplot(211)
plt.axis([145580,146050, -1, 15])
 
new_ticks = np.linspace(145580,146050,10)
plt.xticks(new_ticks)
 
matplotlib.rcParams['xtick.direction'] = 'in'
matplotlib.rcParams['ytick.direction'] = 'in'
plt.plot(X20,Y20,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X21,Y21,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X22,Y22,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X23,Y23,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X24,Y24,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
#plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(146000,13,'IRAS16293A')
 
plt.plot([145618.5,145618.5],[2.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (145618,7), xytext = (145650,11),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([146020,146020],[7,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (146020,6), xytext = (146005,10),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
 
 
#plt.show()
#plt.savefig('8.png')
 
 
plt.subplot(212)
plt.axis([145580,146050, -1, 15])
 
new_ticks = np.linspace(145580,146050,10)
plt.xticks(new_ticks)
 
plt.plot(X25,Y25,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X26,Y26,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X27,Y27,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X28,Y28,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X29,Y29,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(146000,13,'IRAS16293B')
 
plt.plot([145618.5,145618.5],[2.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (145618,7), xytext = (145650,11),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([146020,146020],[7,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (146020,6), xytext = (145990,10),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.show()
 
 
##################################################################
######################################################################################### ######## 3
##################################################################
 
 
#data_a
filename = '/home/luoluo/Documents/python_scripts/Adata_cut/A3.txt'
X30,Y30= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X30.append(value[0])
    Y30.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_A/A3/xclass_spectrum_output.dat'
X31,Y31 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X31.append(value[0])
    Y31.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_A/A3/xclass_spectrum_output.dat'
X32,Y32 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X32.append(value[0])
    Y32.append(value[1])
 
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_A/A3/xclass_spectrum_output.dat'
X33,Y33 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X33.append(value[0])
    Y33.append(value[1])
 
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_A/A3/xclass_spectrum_output.dat'
X34,Y34 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X34.append(value[0])
    Y34.append(value[1])
 
###################################################  data_b
 
filename = '/home/luoluo/Documents/python_scripts/Bdata_cut/B3_146050-146507.txt'
X35,Y35= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X35.append(value[0])
    Y35.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_B/B3/xclass_spectrum_output.dat'
X36,Y36 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X36.append(value[0])
    Y36.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_B/B3/xclass_spectrum_output.dat'
X37,Y37 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X37.append(value[0])
    Y37.append(value[1])
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_B/B3/xclass_spectrum_output.dat'
X38,Y38 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X38.append(value[0])
    Y38.append(value[1])
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_B/B3/xclass_spectrum_output.dat'
X39,Y39 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X39.append(value[0])
    Y39.append(value[1])
 
 
 
###################################################################  #2 plot
 
 
 
plt.figure(3)
plt.subplot(211)
plt.axis([146050,146507, -1, 15])
 
new_ticks = np.linspace(146050,146507,10)
plt.xticks(new_ticks)
 
matplotlib.rcParams['xtick.direction'] = 'in'
matplotlib.rcParams['ytick.direction'] = 'in'
plt.plot(X30,Y30,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X31,Y31,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X32,Y32,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X33,Y33,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X34,Y34,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
#plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(146465,13,'IRAS16293A')
 
plt.plot([146172,146172],[2.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (146172,7), xytext = (146190,11),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([146232,146232],[3,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (146232,10), xytext = (146210,5),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([146343,146343],[2.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (146343,7), xytext = (146320,12),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([146355,146355],[2.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (146355,6), xytext = (146380,7),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
 
#plt.show()
#plt.savefig('8.png')
 
 
plt.subplot(212)
plt.axis([146050,146507, -1, 15])
 
new_ticks = np.linspace(146050,146507,10)
plt.xticks(new_ticks)
 
plt.plot(X35,Y35,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X36,Y36,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X37,Y37,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X38,Y38,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X39,Y39,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(146465,13,'IRAS16293B')
 
plt.plot([146343,146343],[5.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (146343,7), xytext = (146320,12),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([146355,146355],[5.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (146355,6), xytext = (146380,7),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
#plt.plot([157324,157324],[2.5,15], color ='grey', linewidth=1, linestyle="--")
#plt.annotate("CH3COCH3", xy = (157324,3), xytext = (157347,4.5),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.show()
 
 
##################################################################
######################################################################################### ######## 4
##################################################################
 
 
#data_a
filename = '/home/luoluo/Documents/python_scripts/Adata_cut/A4'
X40,Y40= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X40.append(value[0])
    Y40.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_A/A4/xclass_spectrum_output.dat'
X41,Y41 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X41.append(value[0])
    Y41.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_A/A4/xclass_spectrum_output.dat'
X42,Y42 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X42.append(value[0])
    Y42.append(value[1])
 
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_A/A4/xclass_spectrum_output.dat'
X43,Y43 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X43.append(value[0])
    Y43.append(value[1])
 
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_A/A4/xclass_spectrum_output.dat'
X44,Y44 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X44.append(value[0])
    Y44.append(value[1])
 
###################################################  data_b
 
filename = '/home/luoluo/Documents/python_scripts/Bdata_cut/B4_146507-146976.txt'
X45,Y45= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X45.append(value[0])
    Y45.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_B/B4/xclass_spectrum_output.dat'
X46,Y46 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X46.append(value[0])
    Y46.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_B/B4/xclass_spectrum_output.dat'
X47,Y47 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X47.append(value[0])
    Y47.append(value[1])
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_B/B4/xclass_spectrum_output.dat'
X48,Y48 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X48.append(value[0])
    Y48.append(value[1])
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_B/B4/xclass_spectrum_output.dat'
X49,Y49 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X49.append(value[0])
    Y49.append(value[1])
 
 
 
###################################################################  #2 plot
 
 
 
plt.figure(4)
plt.subplot(211)
plt.axis([146507,146976, -1, 15])
 
new_ticks = np.linspace(146507,146976,10)
plt.xticks(new_ticks)
 
matplotlib.rcParams['xtick.direction'] = 'in'
matplotlib.rcParams['ytick.direction'] = 'in'
plt.plot(X40,Y40,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X41,Y41,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X42,Y42,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X43,Y43,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X44,Y44,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
#plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(146930,13,'IRAS16293A')
 
#plt.plot([157323,157323],[2.5,15], color ='grey', linewidth=1, linestyle="--")
#plt.annotate("CH3COCH3", xy = (157323,3), xytext = (157345,4.5),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
 
 
#plt.show()
#plt.savefig('8.png')
 
 
plt.subplot(212)
plt.axis([146507,146976, -1, 15])
 
new_ticks = np.linspace(146507,146976,10)
plt.xticks(new_ticks)
 
plt.plot(X45,Y45,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X46,Y46,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X47,Y47,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X48,Y48,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X49,Y49,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(146930,13,'IRAS16293B')
 
#plt.plot([157324,157324],[2.5,15], color ='grey', linewidth=1, linestyle="--")
#plt.annotate("CH3COCH3", xy = (157324,3), xytext = (157347,4.5),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.show()
 
##################################################################
######################################################################################### ######## 5
##################################################################
 
#data_a
filename = '/home/luoluo/Documents/python_scripts/Adata_cut/A5_156840-157303.txt'
X50,Y50= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X50.append(value[0])
    Y50.append(value[1])
 
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_A/A5/xclass_spectrum_output.dat'
X51,Y51 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X51.append(value[0])
    Y51.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_A/A5/xclass_spectrum_output.dat'
X52,Y52 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X52.append(value[0])
    Y52.append(value[1])
 
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_A/A5/xclass_spectrum_output.dat'
X53,Y53 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X53.append(value[0])
    Y53.append(value[1])
 
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_A/A5/xclass_spectrum_output.dat'
X54,Y54 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X54.append(value[0])
    Y54.append(value[1])
 
###################################################  data_b
 
filename = '/home/luoluo/Documents/python_scripts/Bdata_cut/B5_156840-157303.txt'
X55,Y55= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X55.append(value[0])
    Y55.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_B/B5/xclass_spectrum_output.dat'
X56,Y56 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X56.append(value[0])
    Y56.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_B/B5/xclass_spectrum_output.dat'
X57,Y57 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X57.append(value[0])
    Y57.append(value[1])
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_B/B5/xclass_spectrum_output.dat'
X58,Y58 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X58.append(value[0])
    Y58.append(value[1])
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_B/B5/xclass_spectrum_output.dat'
X59,Y59 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X59.append(value[0])
    Y59.append(value[1])
 
 
 
###################################################################  #2 plot
 
 
 
plt.figure(5)
plt.subplot(211)
plt.axis([156840, 157303, -1, 15])
 
new_ticks = np.linspace(156840,157303,10)
plt.xticks(new_ticks)
 
matplotlib.rcParams['xtick.direction'] = 'in'
matplotlib.rcParams['ytick.direction'] = 'in'
plt.plot(X50,Y50,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X51,Y51,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X52,Y52,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X53,Y53,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X54,Y54,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
#plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(157256,13,'IRAS16293A')
 
#plt.show()
#plt.savefig('8.png')
 
 
plt.subplot(212)
plt.axis([156820,157303, -1, 15])
 
new_ticks = np.linspace(156820,157303,10)
plt.xticks(new_ticks)
 
plt.plot(X55,Y55,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X56,Y56,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X57,Y57,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X58,Y58,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X59,Y59,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(157255,13,'IRAS16293B')
 
#plt.plot([157324,157324],[2.5,15], color ='grey', linewidth=1, linestyle="--")
#plt.annotate("CH3COCH3", xy = (157324,3), xytext = (157347,4.5),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.show()
 
##################################################################
######################################################################################### ######## 6
##################################################################
 
 
#data_a
filename = '/home/luoluo/Documents/python_scripts/Adata_cut/A6_157303-157820.txt'
X60,Y60= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X60.append(value[0])
    Y60.append(value[1])
 
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_A/A6/xclass_spectrum_output.dat'
X61,Y61 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X61.append(value[0])
    Y61.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_A/A6/xclass_spectrum_output.dat'
X62,Y62 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X62.append(value[0])
    Y62.append(value[1])
 
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_A/A6/xclass_spectrum_output.dat'
X63,Y63 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X63.append(value[0])
    Y63.append(value[1])
 
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_A/A6/xclass_spectrum_output.dat'
X64,Y64 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X64.append(value[0])
    Y64.append(value[1])
 
###################################################  data_b
 
filename = '/home/luoluo/Documents/python_scripts/Bdata_cut/B6_157303-157820.txt'
X65,Y65= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X65.append(value[0])
    Y65.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_B/B6/xclass_spectrum_output.dat'
X66,Y66 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X66.append(value[0])
    Y66.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_B/B6/xclass_spectrum_output.dat'
X67,Y67 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X67.append(value[0])
    Y67.append(value[1])
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_B/B6/xclass_spectrum_output.dat'
X68,Y68 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X68.append(value[0])
    Y68.append(value[1])
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_B/B6/xclass_spectrum_output.dat'
X69,Y69 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X69.append(value[0])
    Y69.append(value[1])
 
 
 
###################################################################  #2 plot
 
 
 
plt.figure(6)
plt.subplot(211)
plt.axis([157303, 157820, -1, 15])
 
new_ticks = np.linspace(157303, 157820,10)
plt.xticks(new_ticks)
 
matplotlib.rcParams['xtick.direction'] = 'in'
matplotlib.rcParams['ytick.direction'] = 'in'
plt.plot(X60,Y60,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X61,Y61,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X62,Y62,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X63,Y63,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X64,Y64,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
#plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(157765,13,'IRAS16293A')
 
plt.plot([157323,157323],[2.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3COCH3", xy = (157323,3), xytext = (157345,4.5),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
 
 
#plt.show()
#plt.savefig('8.png')
 
 
plt.subplot(212)
plt.axis([157303, 157820, -1, 15])
 
new_ticks = np.linspace(157303, 157820,10)
plt.xticks(new_ticks)
 
plt.plot(X65,Y65,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X66,Y66,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X67,Y67,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X68,Y68,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X69,Y69,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(157765,13,'IRAS16293B')
 
plt.plot([157324,157324],[2.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3COCH3", xy = (157324,3), xytext = (157347,4.5),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([157505.5,157505.5],[5.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("C2H5OH", xy = (157505,6), xytext = (157450,11),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.show()
 
###############################################################################################
################################################################################################################ 7
###############################################################################################
 
 
#data_a
filename = '/home/luoluo/Documents/python_scripts/Adata_cut/A7_157820-158228.txt'
X70,Y70= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X70.append(value[0])
    Y70.append(value[1])
 
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_A/A7/xclass_spectrum_output.dat'
X71,Y71 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X71.append(value[0])
    Y71.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_A/A7/xclass_spectrum_output.dat'
X72,Y72 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X72.append(value[0])
    Y72.append(value[1])
 
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_A/A7/xclass_spectrum_output.dat'
X73,Y73 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X73.append(value[0])
    Y73.append(value[1])
 
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_A/A7/xclass_spectrum_output.dat'
X74,Y74 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X74.append(value[0])
    Y74.append(value[1])
#########################################################
#data_b
filename = '/home/luoluo/Documents/python_scripts/Bdata_cut/B7_157820-158228.txt'
X75,Y75= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X75.append(value[0])
    Y75.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_B/B7/xclass_spectrum_output.dat'
X76,Y76 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X76.append(value[0])
    Y76.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_B/B7/xclass_spectrum_output.dat'
X77,Y77 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X77.append(value[0])
    Y77.append(value[1])
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_B/B7/xclass_spectrum_output.dat'
X78,Y78 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X78.append(value[0])
    Y78.append(value[1])
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_B/B7/xclass_spectrum_output.dat'
X79,Y79 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X79.append(value[0])
    Y79.append(value[1])
#############################################################################################################################################
#2 plot
plt.figure(7)
plt.subplot(211)
plt.axis([157820, 158228, -1, 15])
 
new_ticks = np.linspace(157820,158228,10)
plt.xticks(new_ticks)
 
matplotlib.rcParams['xtick.direction'] = 'in'
matplotlib.rcParams['ytick.direction'] = 'in'
plt.plot(X70,Y70,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X71,Y71,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X72,Y72,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X73,Y73,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X74,Y74,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
#plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(158183,13,'IRAS16293A')
 
plt.plot([157894,157894],[5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (157895,7), xytext = (157880,12),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158120,158120],[5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3COCH3", xy = (158120,5), xytext = (158110,7),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158172,158172],[7,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3COCH3", xy = (158171,8), xytext = (158150,10),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158225,158225],[4,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3COCH3", xy = (158225,5), xytext = (158200,7),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
#plt.show()
#plt.savefig('8.png')
 
 
plt.subplot(212)
plt.axis([157820, 158228, -1, 15])
 
new_ticks = np.linspace(157820, 158228,10)
plt.xticks(new_ticks)
 
plt.plot(X75,Y75,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X76,Y76,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X77,Y77,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X78,Y78,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X79,Y79,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(158183,13,'IRAS16293B')
 
plt.plot([157895,157895],[5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (157896,7), xytext = (157880,12),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158121,158121],[5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3COCH3", xy = (158121,7), xytext = (158110,12),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158173,158173],[7,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3COCH3", xy = (158172,8), xytext = (158150,5),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158226,158226],[4,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3COCH3", xy = (158225,5), xytext = (158205,10),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
#plt.plot([158389,158389],[3.5,15], color ='grey', linewidth=1, linestyle="--")
#plt.annotate("CH3OCHO v18=1", xy = (158390,5), xytext = (158400,13),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
 
plt.show()
######################################################################################
###################################################################################### ###### 8
######################################################################################
 
#
#1 import data
 
#data_a
filename = 'Adata_cut/A8_158228-158680.txt'
X80,Y80= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X80.append(value[0])
    Y80.append(value[1])
 
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_A/A8/xclass_spectrum_output.dat'
X81,Y81 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X81.append(value[0])
    Y81.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_A/A8/xclass_spectrum_output.dat'
X82,Y82 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X82.append(value[0])
    Y82.append(value[1])
 
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_A/A8/xclass_spectrum_output.dat'
X83,Y83 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X83.append(value[0])
    Y83.append(value[1])
 
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_A/A8/xclass_spectrum_output.dat'
X84,Y84 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X84.append(value[0])
    Y84.append(value[1])
#########################################################
#data_b
filename = 'Bdata_cut/B8_158228-158680.txt'
X85,Y85= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X85.append(value[0])
    Y85.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_B/B8/xclass_spectrum_output.dat'
X86,Y86 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X86.append(value[0])
    Y86.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_B/B8/xclass_spectrum_output.dat'
X87,Y87 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X87.append(value[0])
    Y87.append(value[1])
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_B/B8/xclass_spectrum_output.dat'
X88,Y88 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X88.append(value[0])
    Y88.append(value[1])
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_B/B8/xclass_spectrum_output.dat'
X89,Y89 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X89.append(value[0])
    Y89.append(value[1])
#############################################################
#2 plot
plt.figure(8)
plt.subplot(211)
plt.axis([158228, 158680, -1, 15])
 
new_ticks = np.linspace(158228,158680,10)
plt.xticks(new_ticks)
 
matplotlib.rcParams['xtick.direction'] = 'in'
matplotlib.rcParams['ytick.direction'] = 'in'
plt.plot(X80,Y80,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X81,Y81,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X82,Y82,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X83,Y83,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X84,Y84,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
#plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(158635,13,'IRAS16293A')
 
plt.plot([158378,158378],[1.9,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158378, 2.0), xytext = (158300,5),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158388,158388],[3.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158388, 4.5), xytext = (158370,12),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158430,158430],[3.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158430, 3.5), xytext = (158400,7),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158484,158484],[3.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158485, 4), xytext = (158450,9),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158519,158519],[3.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158518,4), xytext = (158490,7),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158540,158540],[3.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158541,4), xytext = (158550,11),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158675,158675],[3.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158674,3), xytext = (158610,8),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
 
#plt.show()
#plt.savefig('8.png')
 
 
plt.subplot(212)
plt.axis([158228, 158680, -1, 15])
 
new_ticks = np.linspace(158228,158680,10)
plt.xticks(new_ticks)
 
plt.plot(X85,Y85,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X86,Y86,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X87,Y87,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X88,Y88,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X89,Y89,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(158635,13,'IRAS16293B')
plt.plot([158389,158389],[3.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158390,5), xytext = (158400,13),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158484,158484],[3.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158484,5), xytext = (158430,4),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158520,158520],[3.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158520,4), xytext = (158500,6),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158540,158540],[3.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158540,4), xytext = (158570,11),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158675,158675],[3.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158675,4), xytext = (158640,8),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.show()
 
####################################################################################################
#################################################################################################### ######## 9
####################################################################################################
 
#data_a
 
filename = '/home/luoluo/Documents/python_scripts/Adata_cut/A9_158680-159155.txt'
X90,Y90= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X90.append(value[0])
    Y90.append(value[1])
 
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_A/A9/xclass_spectrum_output.dat'
X91,Y91 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X91.append(value[0])
    Y91.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_A/A9/xclass_spectrum_output.dat'
X92,Y92 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X92.append(value[0])
    Y92.append(value[1])
 
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_A/A9/xclass_spectrum_output.dat'
X93,Y93 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X93.append(value[0])
    Y93.append(value[1])
 
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_A/A9/xclass_spectrum_output.dat'
X94,Y94 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X94.append(value[0])
    Y94.append(value[1])
#########################################################
#data_b
filename = '/home/luoluo/Documents/python_scripts/Bdata_cut/B9_158680-159155.txt'
X95,Y95= [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X95.append(value[0])
    Y95.append(value[1])
 
#c2h5oh
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__C2H5OH_B/B9/xclass_spectrum_output.dat'
X96,Y96 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X96.append(value[0])
    Y96.append(value[1])
 
#ch3coch3
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3COCH3_B/B9/xclass_spectrum_output.dat'
X97,Y97 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X97.append(value[0])
    Y97.append(value[1])
 
#ch3ocho_v18=1
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v18=1_B/B9/xclass_spectrum_output.dat'
X98,Y98 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X98.append(value[0])
    Y98.append(value[1])
 
#ch3ocho_v=0
filename = '/home/luoluo/Documents/python_scripts/job__XCLASS/job__CH3OCHO_v=0_B/B9/xclass_spectrum_output.dat'
X99,Y99 = [],[]
with open(filename, 'r') as f:
  lines = f.readlines()
  for line in lines:
    value = [float(s) for s in line.split()]
    X99.append(value[0])
    Y99.append(value[1])
 
 
 
 
 
###2 plot
plt.figure(9)
#A
plt.subplot(211)
plt.axis([158680, 159155, -1, 15])
 
new_ticks = np.linspace(158680,159155,10)
plt.xticks(new_ticks)
 
matplotlib.rcParams['xtick.direction'] = 'in'
matplotlib.rcParams['ytick.direction'] = 'in'
plt.plot(X90,Y90,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X91,Y91,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X92,Y92,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X93,Y93,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X94,Y94,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
#plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(159110,13,'IRAS16293A')
 
plt.plot([158691,158691],[8,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158691, 5), xytext = (158730,3),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158701.9,158701.9],[8,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158701, 10), xytext = (158770,12),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([159003.5,159003.5],[3.4,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (159005, 3), xytext = (159020,12),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([159106,159106],[3.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (159107, 3.5), xytext = (159110,7),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
#B
plt.subplot(212)
plt.axis([158680, 159155, -1, 15])
 
new_ticks = np.linspace(158680,159122,10)
plt.xticks(new_ticks)
 
plt.plot(X95,Y95,color='k',lw=1.0,ls='-',label='DATA')  
plt.plot(X96,Y96,color='r',lw=1.0,ls='-',label='C2H5OH')
plt.plot(X97,Y97,color='g',lw=1.0,ls='-',label='CH3COCH3')
plt.plot(X98,Y98,color='cyan',lw=1.0,ls='-',label='CH3OCHO v18=1')
plt.plot(X99,Y99,color='b',lw=1.0,ls='-',label='CH3OCHO v=0')
plt.legend(loc='upper left')
plt.xlabel('Freq(MHZ)')
plt.ylabel('T(K)')
plt.text(159110,13,'IRAS16293B')
 
plt.plot([158689,158689],[7,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (158689, 3.5), xytext = (158700,4),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
#plt.plot([158963,158963],[2.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v=0", xy = (158694,6), xytext = (158760,9),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
#plt.plot([158963,158963],[2.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v=0", xy = (158704,9.5), xytext = (158770,12),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([158963,158963],[2.5,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3COCH3", xy = (158963, 3.5), xytext = (158980,6),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.plot([159030,159030],[2.4,15], color ='grey', linewidth=1, linestyle="--")
plt.annotate("CH3OCHO v18=1", xy = (159030,4), xytext = (159000,9),arrowprops = dict(facecolor = "y", headlength=10, headwidth =3, width =0.1))
 
plt.show()

以上这篇python 导入数据及作图的实现就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。

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暴雪近日发布了《魔兽世界》10.2.6 更新内容，新游玩模式《强袭风暴》即将于3月21 日在亚服上线，届时玩家将前往阿拉希高地展开一场 60 人大逃杀对战。

艾泽拉斯的冒险者已经征服了艾泽拉斯的大地及遥远的彼岸。他们在对抗世界上最致命的敌人时展现出过人的手腕，并且成功阻止终结宇宙等级的威胁。当他们在为即将于《魔兽世界》资料片《地心之战》中来袭的萨拉塔斯势力做战斗准备时，他们还需要在熟悉的阿拉希高地面对一个全新的敌人──那就是彼此。在《巨龙崛起》10.2.6 更新的《强袭风暴》中，玩家将会进入一个全新的海盗主题大逃杀式限时活动，其中包含极高的风险和史诗级的奖励。

《强袭风暴》不是普通的战场，作为一个独立于主游戏之外的活动，玩家可以用大逃杀的风格来体验《魔兽世界》，不分职业、不分装备（除了你在赛局中捡到的），光是技巧和战略的强弱之分就能决定出谁才是能坚持到最后的赢家。本次活动将会开放单人和双人模式，玩家在加入海盗主题的预赛大厅区域前，可以从强袭风暴角色画面新增好友。游玩游戏将可以累计名望轨迹，《巨龙崛起》和《魔兽世界：巫妖王之怒 经典版》的玩家都可以获得奖励。

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