Metadata-Version: 2.1
Name: Data_FolderSplit
Version: 1.1
Summary: Returns folder and sub folders from the data table in csv. Basically a decision tree with folders.
Home-page: https://www.linkedin.com/in/abhishek-venkatachalam-62121049/
Author: Abhishek Venkatachalam
Author-email: abhishek.venkatachalam06@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

<h1>Data_FolderSplit</h1>   
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Segregate the data table in a csv file into folders containing sub folders of sliced/ segmented data for a physical representation of a decision tree.


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<h2>Instructions.</h2>  

To install the package, perform:  

```python
pip install Data_FolderSplit
```
 
How to use the methods:  

<h3>1. To create the folder structure:  </h3>

```python
#Importing Library.
import Data_FolderSplit as DFS

# filepath -> File path for the csv.
# max_uniques -> Max uniques allowed.
# output_folderpath -> Folder within which sub folders will be formed.

#For example:
filepath = r'D:\Everything\is\BS\Datasheet1.csv'
max_uniques = 4
parent_folder = r'D:\ChesterBennington\is\a\Legend'


#To create the folders with sub folders.
using_maxUniques(filepath, max_uniques, output_folderpath)
```


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<h3>Have fun. :-) </h3>

