如何在python中使用glob.glob从不同名称的多个输入文本文件写入多个输出文本文件?

如何在python中使用glob.glob从不同名称的多个输入文本文件写入多个输出文本文件?,python,Python,我是python的初学者。我想用python从50个输入文本文件中编写50个输出文件。 例如,我输入了如下文本文件: bottom_0cm_Box_0_B_90_wave_1.txt bottom_0cm_Box_45_B_135_wave_1.txt bottom_0cm_Box_90_B_180_wave_1.txt ... top_0cm_Box_0_B_90_wave_1.txt top_0cm_Box_45_B_135_wave_1.txt top_0cm_Box_90_B_180_w

我是python的初学者。我想用python从50个输入文本文件中编写50个输出文件。 例如,我输入了如下文本文件:

bottom_0cm_Box_0_B_90_wave_1.txt
bottom_0cm_Box_45_B_135_wave_1.txt
bottom_0cm_Box_90_B_180_wave_1.txt
...
top_0cm_Box_0_B_90_wave_1.txt
top_0cm_Box_45_B_135_wave_1.txt
top_0cm_Box_90_B_180_wave_1.txt
...
在一个文件中,我有1000个事件,我必须对每个事件进行一些计算,所以我循环了所有1000个事件。 我有以下代码:

file = glob.glob("/position/*.txt")
print file
print len(file)
for f in file:
    with open(f, 'rb') as input:
        all_lines = [line for line in input]
    x = np.arange(1,1025)   #x value is common for all the events
    Amplitude=list()
    for j in range(1,1000): 
        y2 = np.array(all_lines[1032*j+8:1032*(j+1)],dtype=float)
        x22 = list(x)
        y2_=list(y2)
        y22 = [((i / 4096)-0.5) for i in y2_] 
        min_y2 = min(y22)  # Find the maximum y2 value
        index_min_y2 = y22.index(min_y2)    #index for minimum of y2
        min_x2 = x[y22.index(min_y2)]
        print 'minimum x2', min_x2, 'minimum y2', min_y2
        Amplitude.append(round(min_y2, 2))
    with open ('bottom_0cm_Box_0_B_90_amplitude.txt', 'w') as fo:
       for d in Amplitude:
         fo.write(str(d) + '\n')
我想写:

  • 输入名为
    bottom\u 0cm\u Box\u 0\u B\u 90\u振幅.txt的文本文件,输出文件
    bottom\u 0cm\u Box\u 0\u B\u 90\u wave\u 1.txt
  • 使用输出文件名的
    bottom_0cm_Box_45_B_135_振幅.txt
    输入文件名
    bottom_0cm_Box_45_B_135_wave_1.txt

依此类推。

您可以将输入文件的名称拆分为基名称和扩展名,用不同的后缀替换基名称,将它们连接为全名,然后用新的目录名连接基名称以获得完整路径名

加:

然后改变:

with open ('bottom_0cm_Box_0_B_90_amplitude.txt', 'w') as fo:
致:

此外,您不需要将所有结果保存到
amplification
列表中,因为您随后要做的就是将其转储到一个文件中。相反,您应该将要添加到
振幅
的内容直接写入输出文件以节省内存:

import os.path
import glob
file = glob.glob("/position/*.txt")
print file
print len(file)
for f in file:
    with open(f, 'rb') as input:
        all_lines = [line for line in input]
    x = np.arange(1,1025)   #x value is common for all the events
    basename, ext = os.path.splitext(os.path.basename(f))
    basename = basename[:-len('wave_1')] + 'amplitude'
    with open(os.path.join(new_dir, basename + ext), 'w') as fo:
        for j in range(1,1000):
            y2 = np.array(all_lines[1032*j+8:1032*(j+1)],dtype=float)
            x22 = list(x)
            y2_=list(y2)
            y22 = [((i / 4096)-0.5) for i in y2_]
            min_y2 = min(y22)  # Find the maximum y2 value
            index_min_y2 = y22.index(min_y2)    #index for minimum of y2
            min_x2 = x[y22.index(min_y2)]
            print 'minimum x2', min_x2, 'minimum y2', min_y2
            fo.write(str(round(min_y2, 2)) + '\n')

所以一切都必须是一样的…只是你想用振幅来代替波_1。。是吗?是的,每个文件都有不同的名称,我想把输入文件写成输出文件的对应关系。我的意思是,当我使用输入文件bottom_0cm_Box_0_B_90_wave_1.txt时,我想写一个名为bottom_0cm_Box_0_B_90_振幅.txt的输出文件,同样地,对于bottom_0cm_Box_45_B_135_wave_1.txt,我想使用glob.glob.glob.glob来输出文件bottom_0cm_Box_135_135_振幅.txt。谢谢@blhsing,如何使用此输出文本文件的不同路径?不客气。我已经更新了我的答案,为输出文件使用了一个新的目录名
new_dir
。我认为代码占用了大量内存,在运行3个文本文件后,我收到消息“Killed”。我已经更新了我的答案,并给出了如何保存内存的建议。不,同样的问题,“Killed”,没有列表或列表。
basename, ext = os.path.splitext(os.path.basename(f))
basename = basename[:-len('wave_1')] + 'amplitude'
with open (os.path.join(new_dir, basename + ext), 'w') as fo:
import os.path
import glob
file = glob.glob("/position/*.txt")
print file
print len(file)
for f in file:
    with open(f, 'rb') as input:
        all_lines = [line for line in input]
    x = np.arange(1,1025)   #x value is common for all the events
    basename, ext = os.path.splitext(os.path.basename(f))
    basename = basename[:-len('wave_1')] + 'amplitude'
    with open(os.path.join(new_dir, basename + ext), 'w') as fo:
        for j in range(1,1000):
            y2 = np.array(all_lines[1032*j+8:1032*(j+1)],dtype=float)
            x22 = list(x)
            y2_=list(y2)
            y22 = [((i / 4096)-0.5) for i in y2_]
            min_y2 = min(y22)  # Find the maximum y2 value
            index_min_y2 = y22.index(min_y2)    #index for minimum of y2
            min_x2 = x[y22.index(min_y2)]
            print 'minimum x2', min_x2, 'minimum y2', min_y2
            fo.write(str(round(min_y2, 2)) + '\n')