What is the best way to exclude a specific part of text, enclosed in quotation marks, when editing a line of text in Python?

I have a log file from Apache that I want to convert to csv. The challenge is that the spaces in the file need to be replaced with commas, but some of the columns contain fields with spaces between them. However, these particular fields are enclosed in quotation marks and should not be affected. How can I accomplish this task without removing the spaces within the quoted text?

Here's an example line from the log:

127.0.0.1 - - [17/Aug/2018:12:57:39 +0530] "GET /mysoft-webappp/app/getNotifications?number=5&_=1534489899492&_hkstd=52bf9c52845cecc32af837db8f8e7385c71b229f67f4ef7c42e9ed5c3c14bMTUzNDQ5MDg1OTYzNg== HTTP/1.1" 200 46 ECC40515BD09C8C2FE6FB9ECCFFB40 127.0.0.1

pythonpython-3.x

Answer №1

To import the data, you can utilize the pandas library which automatically handles various cases (and allows for manual tweaking of import behavior if needed):

import pandas as pd
df = pd.read_table('/wherever/file/may/roam/yourfile.txt', sep=' ')
df.to_csv('/wherever/file/shall/roam/yourfile.csv')

The parameter sep=' ' specifies a single space as the delimiter in the source file.
The method df.to_csv saves the output file as a CSV, with commas as the default separator and no additional quotation marks.

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