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https://github.com/thcasey3/lsframe
lsframe - map, classify, frame
https://github.com/thcasey3/lsframe
classification data-science dataframes langugage-recognition map-directories pandas python-dateutil seaborn
Last synced: about 1 month ago
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lsframe - map, classify, frame
- Host: GitHub
- URL: https://github.com/thcasey3/lsframe
- Owner: thcasey3
- License: mit
- Created: 2021-03-11T19:00:08.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2022-11-02T19:07:12.000Z (about 2 years ago)
- Last Synced: 2024-08-09T12:47:47.151Z (5 months ago)
- Topics: classification, data-science, dataframes, langugage-recognition, map-directories, pandas, python-dateutil, seaborn
- Language: Python
- Homepage: https://thcasey3.github.io/lsframe/
- Size: 8.34 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
- Code of conduct: CODE_OF_CONDUCT.md
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README
# lsframe - map, classify, frame
[![https://thcasey3.github.io/lsframe/](https://img.shields.io/pypi/v/lsframe)](https://pypi.org/project/lsframe/)
[![Website](https://img.shields.io/website?down_message=offline&label=Documentation&up_message=online&url=https%3A%2F%2Fthcasey3.github.io%2Flsframe%2Findex.html)](https://thcasey3.github.io/lsframe/)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, seabornInstall the required packages using pip:
```console
pip install pandas numpy python-dateutil seaborn
```# Installation
Install lsframe using pip:
```console
pip install lsframe
```# Documenation
- Online documentation: https://thcasey3.github.io/lsframe/
# Developement
- Clone the git repository from https://github.com/thcasey3/lsframe/tree/development