WIP Alert This is a work in progress. Current information is correct but more content will probably be added in the future.
Manipulating filesystem paths is a very common need in most if not all applications; most problems can be solved using either
Pathlib is used in some examples here; it comes by default with Python 3 but you can also use it in Python 2 via Pip:
pip install pathlib
Write string to file
# will be overwritten if it already exists! with open("filename.txt","w") as f: f.write("foo bar")
Relative to Absolute Path
os.path.abspath. But remember that the relative path is calculated with respect to your current working directory.
Note that this will not warn you if you supply a path that resolves to a file/dir that doesn't exist
If you want the relative path to be calculated with respect to the current file location, don't forget to prepend
__file__+"/" to the relative path!
import os # path is relative to the current WORKING directory! abs_path = abspath("../../other-dir") # path is relative to the directory where THIS file # is located! abs_path = abspath(__file__+"/"+"../../other-dir")
Get current working directory
The current working directory (or cwd) is the directory the user that first called the script was located.
import os os.getcwd()
Get the directory where this (current) file is located
Note that this is not at all the same thing as the current working directory (seen above)
import os # __file__ points to the where the current file is located os.path.dirname(os.path.realpath(__file__))
List all files in a directory
import os os.listdir(path_to_directory)
To list all files recursively under some path (i.e. including subdirectories):
import os # you may omit trailing slashes # i.e. '/tmp' works too path = '/tmp/' for root, directories, filenames in os.walk(path): for directory in directories: # in python 3 print needs parens print(os.path.join(root, directory)) for filename in filenames: # in python 3 print needs parens print(os.path.join(root,filename))
Read a file line-by-line, without loading it all to memory (buffered reading)
This is easy with python:
with open("path/to/file") as f: for line in f: # process the line
You can also use
f.readline() to read a whole line (be careful if the file has no line breaks) or
f.read(size), which takes an argument indicating the maximum number of bytes to be read into memory.
For a CSV file:
import csv with open("path/to/file") as f: reader = csv.reader(f) for line in reader: # line is an array of strings