Skip to main content

Visual tree utility

Project description

linux tree utility의 개선.

bigdata 분석 및 문서화에 활용하기 좋은 기능을 포함.

Python 3.12.3 기준으로 작성되었으며, Python 3.10 이상에서 동작합니다. 아마도 3.2 이상이면 다 동작할 것으로 예상됩니다.

기능

  • tree 구조 출력
  • size: human readable
  • file count
  • file list limit
  • 📂 emoji

treeview -h

usage: Main.py [-h] [-d] [-L LEVEL] [-n MAX_FILES] directory

List directory contents.

positional arguments:
  directory             Directory to read

options:
  -h, --help            show this help message and exit
  -d                    List directories only
  -L LEVEL, --level LEVEL
                        Descend only level directories deep
  -n MAX_FILES, --max-files MAX_FILES
                        Print only N files in each directory

출력 예

treeview 3d_car_instance_sample

📂 3d_car_instance_sample [2 GB]
└──📂 3d_car_instance_sample [2 GB]
    ├──📂 camera [340 B    2 개의 파일]
    │   ├── 5.cam [169 B]
    │   └── 6.cam [171 B]
    ├──📂 car_models [25 MB    79 개의 파일]
    │   ├── 019-SUV.pkl [338 KB]
    │   ├── 036-CAR01.pkl [329 KB]
    │   ├── 037-CAR02.pkl [354 KB]
    │   └── MG-GT-2015.pkl [313 KB]
    ├──📂 car_poses [1 MB    1,003 개의 파일]
    │   ├── 180116_053947113_Camera_5.json [1 KB]
    │   ├── 180116_053947909_Camera_5.json [2 KB]
    │   ├── 180116_053948523_Camera_5.json [2 KB]
    │   └── 180116_053949115_Camera_5.json [1 KB]
    ├──📂 images [2 GB    1,003 개의 파일]
    │   ├── 180116_053947113_Camera_5.jpg [2 MB]
    │   ├── 180116_053947909_Camera_5.jpg [2 MB]
    │   ├── 180116_053948523_Camera_5.jpg [2 MB]
    │   └── 180116_053949115_Camera_5.jpg [2 MB]
    └──📂 split [29 KB    2 개의 파일]
       ├── train.txt [21 KB]
       └── val.txt [8 KB]

treeview -d 3d_car_instance_sample

📂 3d_car_instance_sample [2 GB]
└──📂 3d_car_instance_sample [2 GB]
    ├──📂 camera [340 B    2 개의 파일]
    ├──📂 car_models [25 MB    79 개의 파일]
    ├──📂 car_poses [1 MB    1,003 개의 파일]
    ├──📂 images [2 GB    1,003 개의 파일]
    └──📂 split [29 KB    2 개의 파일]

reeview -d -L 1 3d_car_instance_sample

📂 3d_car_instance_sample [2 GB]
└──📂 3d_car_instance_sample [2 GB]

treeview -n 1 3d_car_instance_sample

📂 3d_car_instance_sample [2 GB]
└──📂 3d_car_instance_sample [2 GB]
    ├──📂 camera [340 B    2 개의 파일]
    │   └── 5.cam [169 B]
    ├──📂 car_models [25 MB    79 개의 파일]
    │   └── 019-SUV.pkl [338 KB]
    ├──📂 car_poses [1 MB    1,003 개의 파일]
    │   └── 180116_053947113_Camera_5.json [1 KB]
    ├──📂 images [2 GB    1,003 개의 파일]
    │   └── 180116_053947113_Camera_5.jpg [2 MB]
    └──📂 split [29 KB    2 개의 파일]
       └── train.txt [21 KB]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gimi9_tree_view-0.5.tar.gz (6.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gimi9_tree_view-0.5-py3-none-any.whl (6.5 kB view details)

Uploaded Python 3

File details

Details for the file gimi9_tree_view-0.5.tar.gz.

File metadata

  • Download URL: gimi9_tree_view-0.5.tar.gz
  • Upload date:
  • Size: 6.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.3

File hashes

Hashes for gimi9_tree_view-0.5.tar.gz
Algorithm Hash digest
SHA256 5d981a2889c5225795595a980ae8b6819416c5dee839386ce6d7b4655375a90e
MD5 2d91a8617aff16050584196024d6a696
BLAKE2b-256 1f6e4002e72e4f5bb4f6b2364189443ff0b9f4ab64632d0ed2cd954772ef7201

See more details on using hashes here.

File details

Details for the file gimi9_tree_view-0.5-py3-none-any.whl.

File metadata

  • Download URL: gimi9_tree_view-0.5-py3-none-any.whl
  • Upload date:
  • Size: 6.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.3

File hashes

Hashes for gimi9_tree_view-0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 d0c2278a801841bc7781b6e5d8f57eead7f8cb2bdcf40c253f31f3112c50c879
MD5 20c608f55a06beb62887e36e9e311ad7
BLAKE2b-256 c6c160fcc256b84efc430234615aa5ea94cf5a4bdb68d0c6af41a914c16a2f70

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page