joshjetson / scdf Goto Github PK

Documentation · Report a Bug · Demo . Request Feature · Send a Pull Request

A python library which creates a simple and easy to use data frame controller. Using this library, along with streamlit and minimal (included) code, anyone can spin up a web app which allows you to control, manipulate and display a data set quickly and easily.

$ pip install streamlit-controllerDF

After you pip install the module

Batteries included method:

Batteries excluded method:

import streamlit_controllerDF as sc
import pandas as pd

mydf = pd.read_csv('mycsv.csv')

ctrldf = sc.Widgets(mydf,omit_columns=['Engine_Size', 'Year'])

import streamlit_controllerDF as sc
import pandas as pd

mydf = pd.read_csv('mycsv.csv')

ctrldf = sc.Widgets(mydf,omit_columns=['Engine_Size', 'Year'])

ctrldf.metrics()

• This library is currently limited to support only files under 20MB
• Due to browser limitations only 12000 rows of data can be viewed at a time

This library is the base of a much larger project.

• Create a chart method which will populate various charts automatically
• Create a model method which will populate various ML models automatically
• Add support for automated api data import
• Add support for relational and non relational data bases
• Add support for automated queries
• Add support for big data
• Create large file size detection and implement chunking automatically
• Migrate from Pandas to Dask
• After Dask migration remove file size limitation

Thank you for viewing my project sincerely