lsframe - map, classify, frame
lsframe is an open-source Python package for mapping directories and correlating specific language patterns in file and folder names with each other and with outputs of user-supplied functions.
Features
- Create DataFrames that are maps of directories
- Organize DataFrames using dates and language in file and folder names
- Find possible dates in arbitrarily formatted file and folder names
- Construct DataFrames from a function that processes files and folders
- Visualize correlations between dates or language and function outputs
Requirements
- Python 3.6 or Later
- pandas, numpy, python-dateutil, seaborn
Install the required packages using pip:
pip install pandas numpy python-dateutil seaborn
Installation
Install lsframe using pip:
pip install lsframe
Documenation
- Online documentation: https://thcasey3.github.io/lsframe/
Developement
- Clone the git repository from https://github.com/thcasey3/lsframe/tree/development
Release files for lsframe 1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lsframe-1.0.tar.gz | 14.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lsframe-1.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 32.3 kB
Release files / lsframe-1.0.tar.gz
| Download URL | lsframe-1.0.tar.gz |
|---|---|
| Size | 14.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.7
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Release files / lsframe-1.0-py2.py3-none-any.whl
| Download URL | lsframe-1.0-py2.py3-none-any.whl |
|---|---|
| Size | 17.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.7
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