An extended and more powerful pathlib.
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Author: Sanhe Hu
Maintainer: Sanhe Hu
Requires Python: >=3.7
Classifiers
Development Status
- 4 - Beta
Intended Audience
- Developers
License
- OSI Approved :: MIT License
Natural Language
- English
Operating System
- Microsoft :: Windows
- MacOS
- Unix
Programming Language
- Python
- Python :: 3.7
- Python :: 3.8
- Python :: 3.9
- Python :: 3.10
- Python :: 3.11
- Python :: 3.12
- Python :: 3 :: Only
Welcome to pathlib_mate Documentation
pathlib is an awesome library handling path in different OS. And it’s been added into standard library since Python3.4. pathlib_mate gives extensive methods and attributes, makes pathlib more powerful and user-friendly.
Features:
Convenient Attribute Accessor:
>>> p = Path("/Users/username/test.py").
>>> p.abspath
/Users/username/test.py
>>> p.basename
test.py
>>> p.fname
test
>>> p.ext
.py
>>> p.dirname
username
>>> p.dirpath
/Users/username
>>> p.size
1500
>>> p.size_in_text
1.46 KB
>>> p.create_datetime
datetime(2018, 1, 15, 8, 30, 15)
>>> p.md5
415f12f07a7e01486cc82856621e05bf
>>> p.sha256
d51512cb0ac71484c01c475409a73225d0149165024d7aac6d8e655eedf2c025
>>> p.sha512
7882fc375840cafa364eaf29dc424645b72fcdbe61fc3326c5afd98e70f696e4f390e0e3f159eac2cb60cedc0992ef7b5f8744a4481911e914a7c5b979e6de68
Powerful Path Search:
>>> p = Path("/Users/username/Documents")
>>> for path in p.select_file(recursive=True)
...
>>> for path in p.select_file(recursive=False)
...
>>> for path in p.select_dir(recursive=True)
...
>>> for image_file in p.select_by_ext([".jpg", ".png"])
...
>>> for big_file in p.select_by_size(min_size=1000000)
...
>>> for video_file in p.select_video():
...
# You can customize the filter anyway you want
>>> def py_filter(p): return ".py" == p.ext.lower()
>>> for py_file in p.select_file(py_filter):
...
Eazy to use File / Dir Operation:
>>> p = Path("/Users/username/Documents/Readme.txt")
# mutate
>>> p.change(new_ext=".md")
/Users/username/Documents/Readme.md
>>> p.change(new_fname="Tutorial")
/Users/username/Documents/Tutorial.txt
>>> p.change(new_basename="README.rst")
/Users/username/Documents/README.rst
>>> p.change(new_dirname="Downloads")
/Users/username/Downloads/Readme.txt
>>> p.change(new_dirpath="/User/username/Downloads)
/Users/username/Downloads/Readme.txt
>>> p.change(new_abspath="/Users/username/Downloads/Readme.txt")
/Users/username/Downloads/Readme.txt
# copy
>>> p.moveto(new_ext=".md", makedirs=True)
# cut
>>> p.copyto(new_ext=".md", makedirs=True)
# delete
>>> p.remove()
# delete file or directory recursively, ignore if not exists
>>> p.remove_if_exists()
# make dir and required parents recursively, if not exists
>>> p.mkdir_if_not_exists()
Atomic Write Support:
If anything wrong happens during writing big chunk of data into a file. It may leave you an incomplete file. Atomic write can guarantee either 100% done or nothing happens.
Thanks for boltons project. Now pathlib_mate supports atomic write API:
>>> p = Path("test.dat")
>>> s = "Hello World"
>>> b = s.encode("utf-8)
>>> p.atomic_write_bytes(b, overwrite=True)
>>> p.atomic_write_text(s, overwrite=True)
>>> with p.atomic_open("wb") as f:
... f.write(b) # write large binary data
Powerful Production Tools:
>>> p = Path("/Users/username/Documents/Github/pathlib_mate-project")
>>> p.print_big_dir_and_big_file()
...
>>> p.file_stat()
{"file": 122, "dir": 41, "size": 619682}
# file statistics, include sub folder
>>> p.file_stat_for_all()
# make an zip archive for the directory, auto naming
>>> p.make_zip_archive()
# make an zip archive for the directory, auto naming
>>> p.backup()
Install
pathlib_mate is released on PyPI, so all you need is:
$ pip install pathlib_mate
To upgrade to latest version:
$ pip install --upgrade pathlib_mate
1.3.2
Jan 22, 2024
1.3.1
Dec 20, 2023
1.2.1
Dec 30, 2022
1.1.1
Nov 08, 2022
1.0.3
Mar 27, 2022
1.0.2
Dec 11, 2021
1.0.1
Dec 05, 2020
1.0.0
Mar 14, 2020
0.0.15
Feb 01, 2019
0.0.14
Oct 03, 2018
0.0.13
Nov 10, 2017
0.0.12
Sep 07, 2017
0.0.11
Aug 31, 2017
0.0.10
Jul 20, 2017
0.0.9
Jun 06, 2017
0.0.8
Feb 16, 2017
0.0.7
Feb 11, 2017
0.0.6
Nov 28, 2016
0.0.5
Nov 28, 2016
0.0.4
Sep 22, 2016
0.0.3
Sep 21, 2016
0.0.2
Sep 21, 2016
0.0.1
Sep 14, 2016