Question

我正在处理一个包含一万两千行代码的输出日志文件，其中大多数包含如下内容：

"760.0132   EXP     window1: blendMode = 'avg'"

我的目标是完全删除所有具有“ EXP window1：blendMode ='avg'”的行。我可以从找到文本的所有行中删除该文本位，但不能删除数字。这是我用来删除文本位（从另一个堆栈溢出问题/答案中借来的）的代码：

infile = "01_Day1_run1.txt"
outfile = "01_Day1_run1_cleaned.txt"

delete_list = ["    EXP     window1: blendMode = 'avg'"]

fin = open(infile)
fout = open(outfile, "w+")
for line in fin:
for word in delete_list:
    line = line.replace(word, "")
fout.write(line)

fin.close()
fout.close()

我希望我可以添加类似的内容

delete_list = ["1**.****    EXP     window1: blendMode = 'avg'"]

以便删除包含所有文本的任何数字，以及该行中的任何数字，但似乎不起作用。对于如何最好地清理日志文件的任何建议，将不胜感激。

非常感谢，西蒙

Answer 1

infile = "01_Day1_run1.txt"
outfile = "01_Day1_run1_cleaned.txt"

delete_list = ["    EXP     window1: blendMode = 'avg'"]

fin = open(infile)
fout = open(outfile, "a")
for line in fin:
    for word in delete_list:
        if word in line:
            wordCheck = False
            break
        else:
            wordCheck = True
    if wordCheck:
        fout.write(line)

fin.close()
fout.close()

也许更清洁：

with open("01_Day1_run1.txt", "r") as infile, open("01_Day1_run1_cleaned.txt", "a") as outfile:
    for line in infile:
        if not any(filter in line for filter in delete_list ):
            outfile.write(line)

Answer 2

infile = "01_Day1_run1.txt"
outfile = "01_Day1_run1_cleaned.txt"

delete_string = "EXP     window1: blendMode = 'avg'"

fin = open(infile)
fout = open(outfile, "a")
for line in fin.readLines():
    if delete_list not in line:
        fout.write(line)

fin.close()
fout.close()

Answer 3

为什么要使用Python做到这一点？您可以使用简单的grep -v或findstr /V进行此操作，如以下示例所示：

Prompt>grep -v "blendmode" input.txt >output.txt

删除文本文件中的完整文本行（在Python上）

3 个答案: