if file.lower().endswith(filetype.lower()): We include our Boolean ( True/ False) result in an if statement so that only a matching file type ( True outcome) triggers the next stage of our function. In turn, the endswith() method will compare the end of our lower case file (where the file extension lives) to the lower case filetype, returning True for a match or False otherwise. ![]() This avoids confusion due to mismatched capitalization. For now, we’ll focus on checking files for a matching file extension.īecause comparing strings is case-sensitive while file extensions are not, we use the lower() method to convert both file and filetype to lower-case strings ( file.lower() and filetype.lower(), respectively). ![]() You may want to customize this section if your application has other requirements. Within the file-level loop, our function can examine various aspects of each file. Iterating again involves another for loop: for file in files: In this configuration, os.walk() finds each file and path in filepath and generates a 3-tuple (a type of 3-item list) with components we will refer to as root, dirs, and files.īecause files lists all file names within a path, our function will iterate through each individual file name. We begin this iterative process with a for loop to find and examine each file: for root, dirs, files in os.walk(filepath): Practically speaking, our function will find each file within filepath, check whether its file extension matches a given filetype, and add relevant results to paths. Let’s create an empty list for this purpose: paths = Within our function, we’ll need to store any relevant file paths our script finds. This argument will take a file extension in string format (e.g.: '.csv' or '.TXT'). (Be sure to encode or escape characters as appropriate.) When the function runs, it will assume this base directory contains all of the files and/or subfolders we need it to check.įiletype will tell the function what kind of file to find. This argument will take a file path string in your operating system’s format. We can name it, unimaginatively, list_files and give it two arguments, filepath and filetype: def list_files(filepath, filetype):įilepath will tell the function where to start looking for files. This module, on top of a standard Python installation, should address any dependencies in our upcoming file-listing code. A simple script will find the files you need, listing their names and paths for easy processing.īecause this process involves exploring our operating system’s file structure, we begin by importing the os module into our Python environment: import os ![]() Or maybe you’ve dropped TXT, PDF, and PY files into a single working directory that you’d rather not reorganize. Have a mess of files to read into Python? Maybe you downloaded Kaiko trade data, with unpredictable sub-directories and file names, from Penn+Box.
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