python - 循环遍历多个文件并绘制它们

Question

感谢您花时间阅读它，也许这是一个简单的问题。 我有一个这样的文件(大约有 200 个文件):

    Output of SMC2FS2: FAS for file 20123427.CB2A.BHE.sac.smc
 Nfreq_out = 
   8192
           freq            fas
  0.0000000E+00  6.6406252E-03
  2.4414062E-03  1.3868844E+04
  4.8828125E-03  3.0740834E+04
  7.3242188E-03  2.7857139E+04
  9.7656250E-03  1.6535047E+04
  1.2207031E-02  9.7825762E+03
  1.4648438E-02  6.1421987E+03
  1.7089844E-02  6.5783145E+03
  1.9531250E-02  5.6137949E+03
  2.1972656E-02  3.5297178E+03

要读取它们，跳过标题并开始处理:

#define the path where I have the 200 files
pato='D:\\Seismic_Inves\\flc_grant\\120427\\smc2fs\\smooth'
os.chdir(pato)
lista=[]
#list all files with "kono_" 
for a in glob.glob('*kono_*'):
    lista.append(a)
#read and skip the header for all files
for archis in lista:
    with open(archis,'r') as leo:
       for _ in range(4):
            next(leo)
#start the proccesing
       for line in leo:
           leo=[x.strip() for x in leo if x.strip()]
           leos=[tuple(map(float,x.split())) for x in leo[1:]]
           f=[x[0] for x in leos]
           fas=[x[1] for x in leos]
           plt.figure(1)
           plt.plot(f,fas,'r')
           plt.yscale('log')
           plt.xscale('log')
           plt.show()

正如您所想象的，这是频率与幅度的关系图(FAS 图) 该代码运行良好，但打开一个图形并仅绘制一个文件，然后我需要关闭该图形，它将绘制第二个文件，依此类推。

问题是:

How can I plot all the data (the 200 fcsv iles) in just one figure.

to @GlobalTraveler, this is the result using your suggestion:

FAS Konoomachi_smooth_data

Answer 1

将 block 参数添加到 show -> plt.show(block = False) 或将 show 移到 for 循环之外

但是，从总体上看，我建议将代码转移到更多的 OO 方法。例如:

#define the path where I have the 200 files
from matplotlib.pyplot import subplots, show
pato='D:\\Seismic_Inves\\flc_grant\\120427\\smc2fs\\smooth'
os.chdir(pato)
lista=[]
#list all files with "kono_" 
for a in glob.glob('*kono_*'):
    lista.append(a)
#read and skip the header for all files

fig, ax  = subplots() # open figure and create axis
for archis in lista:
    with open(archis,'r') as leo:
       for _ in range(4):
            next(leo)
#start the proccesing
       for line in leo:
           leo=[x.strip() for x in leo if x.strip()]
           leos=[tuple(map(float,x.split())) for x in leo[1:]]
           f=[x[0] for x in leos]
           fas=[x[1] for x in leos]
           ax.plot(f,fas,'r') # plot on this axis
ax.set(**dict(xscale = 'log', yscale = 'log')) # format the axis
show() # show

这是根据你的建议得到的结果 FAS_konoomachi_smooth