python 데이터 가 져 오기 및 그림 작성 실현
67487 단어 python데이터 가 져 오기작도 하 다
방법 1.
filename='/home/res/user/csluo/test.txt' #
X,Y,Z=[ ],[ ],[ ] #
with open(filename, 'r') as f: #
lines=f.readlines() #
for i in lines:
value=[ float(s) for s in line.split( ) ] # ， value
X=append(value[0]) # value X
Y=append(value[1])
Z=append(value[2])
a = numpy.loadtxt('a.txt')
a[:,0]
>>> import pandas as pd
>>> data = pd.read_csv("aaa.csv")
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()] #
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()
이 내용에 흥미가 있습니까?
현재 기사가 여러분의 문제를 해결하지 못하는 경우 AI 엔진은 머신러닝 분석(스마트 모델이 방금 만들어져 부정확한 경우가 있을 수 있음)을 통해 가장 유사한 기사를 추천합니다:
로마 숫자를 정수로 또는 그 반대로 변환그 중 하나는 로마 숫자를 정수로 변환하는 함수를 만드는 것이었고 두 번째는 그 반대를 수행하는 함수를 만드는 것이었습니다. 문자만 포함합니다'I', 'V', 'X', 'L', 'C', 'D', 'M' ; 문자열이 ...
텍스트를 자유롭게 공유하거나 복사할 수 있습니다.하지만 이 문서의 URL은 참조 URL로 남겨 두십시오.
CC BY-SA 2.5, CC BY-SA 3.0 및 CC BY-SA 4.0에 따라 라이센스가 부여됩니다.
좋은 웹페이지 즐겨찾기
