Skip to content

DigitalLifeYZQiu/Data-Process-Library

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Data Processing Library (DaPLib)

DaPLib is a composite data processing function library for quick industrial data analyze and visualize based on Pandas.

Usage

  1. Install Python 3.10 with necessary requirements. If you are using Anaconda, here is an example:
conda create -n Daplib python=3.10 jupyter notebook
pip install -r requirements.txt
  1. Prepare Data. In Time-Series-Library, plenty of well-processed open-sourced datasets are presented, You can obtain the well pre-processed datasets from [Google Drive] or [Baidu Drive]. For real [industrial production data], please contact the administrator of this repo for authorized access. Please place the downloaded data in the folder ./data.
  2. We provide an intricate tutorial in ./data_analysis.ipynb

Contact

If you have any questions or suggestions, feel free to contact us:

About

The data process library to help better industrial data understanding.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published