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导入数据

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python 导入数据及作图的实现导入数据及作图的实现

今天小编就为大家分享一篇python 导入数据及作图的实现，具有很好的参考价值，希望对大家有所帮助。一起跟随小编过来看

看吧

我们经常需要导入数据，按列提取 XY作图

方法一、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、方法二、

a = numpy.loadtxt('a.txt')

a[:,0]

方法三、方法三、

>>> import pandas as pd

>>> data = pd.read_csv("aaa.csv")

附录：附录：IRAS16293 的数据的数据绘图代码绘图代码

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))

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