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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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一口气升级7个大模型SaaS应用，百度智能云：突出一个“开箱即用” - 2024/11/5
这一波大模型产业落地浪潮里，不少企业其实处在 “干瞪眼“的状态。
一种情况是，很多大模型产品看得见却摸不着，在台上一个个遥遥领先——今天Sora技精四座，明天英伟达的机器人又赢得满堂彩，可是到了台下一问：啥时候能用上啊？答曰：遥遥无期。
另一种情况是，企业想用上大模型，却又难免瞻前顾后——既要考虑场景融合，又得兼顾安全性，还要考虑打通现有系统，再加上各种部署成本和繁琐的采购流程……最后只能拂袖：罢了，再等等吧。
这一波大模型产业落地浪潮里，不少企业其实处在 “干瞪眼“的状态。
一种情况是，很多大模型产品看得见却摸不着，在台上一个个遥遥领先——今天Sora技精四座，明天英伟达的机器人又赢得满堂彩，可是到了台下一问：啥时候能用上啊？答曰：遥遥无期。
另一种情况是，企业想用上大模型，却又难免瞻前顾后——既要考虑场景融合，又得兼顾安全性，还要考虑打通现有系统，再加上各种部署成本和繁琐的采购流程……最后只能拂袖：罢了，再等等吧。
稳了！魔兽国服回归的3条重磅消息！官宣时间再确认！
昨天有一位朋友在大神群里分享，自己亚服账号被封号之后居然弹出了国服的封号信息对话框。
这里面让他访问的是一个国服的战网网址，com.cn和后面的zh都非常明白地表明这就是国服战网。
而他在复制这个网址并且进行登录之后，确实是网易的网址，也就是我们熟悉的停服之后国服发布的暴雪游戏产品运营到期开放退款的说明。这是一件比较奇怪的事情，因为以前都没有出现这样的情况，现在突然提示跳转到国服战网的网址，是不是说明了简体中文客户端已经开始进行更新了呢？
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- 方大同.2024-梦想家TheDreamer【赋音乐】【FLAC分轨】
- 李慧珍.2007-爱死了【华谊兄弟】【WAV+CUE】
- 王大文.2019-国际太空站【环球】【FLAC分轨】
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