For your caseįor your case, you can probably use something like the following to get your *.zip, *.rar and *. lete (0,END) this is a list view usePATH '/nfzcae/nvhmdp/MessdatenbankPowertrain' fileLevels code of interest is below for path, dirs, f in os.walk (usePATH): for d in dirs: for f in glob.iglob (os.path.join (path, d,'COMPARE.mat')): if 'COMPARE.mat' in f: if 'COMPARE.mat' in f and not 'MIN' in f and not 'MAX' in f / i. Text File for demonstration: myfile. The glob method is much faster and the code for it is shorter. In this article, we are going to see how to search for a string in text files using Python Example: string GEEK FOR GEEKS Input: FOR Output: Yes, FOR is present in the given string. > oswalk_files = get_filepaths_with_oswalk(root_path,'filename_(.*).csv') On using the above two functions to find 5076 files matching the regex filename_*.csv in a dir called root_path (containing 66,948 files): > glob_files = get_filepaths_with_glob(root_path, 'filename_*.csv') Find files in a directory with a partial string match. Return glob.glob(os.path.join(root_path, file_regex))Ĭomparing runtimes of the above functions Return get_filepaths_with_glob(root_path: str, file_regex: str): fnmatchcase () can be used to perform a case-sensitive comparison, regardless of whether that’s standard for the operating system. Both parameters are case-normalized using os.path.normcase (). Return get_filepaths_with_oswalk(root_path: str, file_regex: str):įor root, directories, files in os.walk(root_path):įiles_paths.append(os.path.join(root, file)) Test whether the filename string matches the pattern string, returning True or False. The snippet also contains a "stopwatch" function to time the two functions. The below snippet contains two file-regex searching functions (one using glob and the other using a custom file-walking-regex matcher). Snippets of functions using glob and a file-walking-regex matcher Given that you are a beginner, I would recommend using glob in place of a quickly written file-walking-regex matcher.
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