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At university i worked with bambolib, and as i find the information that bambolib isn't open source, as a good alternative i founded-pandas_ui. It helps you wrangle & explore your data and create custom visualizations without digging through StackOverflow. All inside your Jupyter Notebook ( alternative to Bamboolib ). Camila notes

License: MIT License

Python 37.91% HTML 62.09%

pandas_ui-data-analisis-'s Introduction

pandas_ui Downloads

pandas_ui helps you wrangle & explore your data and create custom visualizations without digging through StackOverflow. All inside your Jupyter Notebook ( alternative to Bamboolib ).

This tool is inspired and created as an alternative for the bamboolib since it comes with pricing.

This tool is tested and verified with windows 10, Google chrome, Python 3.7.

please read this medium article for more details: https://medium.com/@arunnbaba/pandas-ui-87316a4e19c7?sk=250429311c0655bf43a65a1cf688b966

people

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Forkers repo roster for @arunnbaba/pandas_ui

Who is this tool for:

It is highly sophisticated and yet easy to use tool that can be used by both the advanced and novice users. It is designed to reduce the time fo data pre-processing for data scientists and data analysts. It is highly recommended for the python and pandas beginners.

Getting started.

To install: Run command prompt

pip install pandas_ui

jupyter nbextension enable --py qgrid --sys-prefix

jupyter nbextension enable --py widgetsnbextension --sys-prefix

After installing, open jupyter notebook

from pandas_ui import *

pandas_ui('csv_file_path_here')

To get the dataframe after processing:

get_df() # to get the dataframe

get_meltdf() or get_pivotdf() # to get melt or pivot dataframes if you have created any.

Main features and benefits of Pandas_ui

90% less working time

Focus on what you want to do instead of how

No more digging through StackOverflow

What would you prefer a dozen of complex python code or few mouse click?.

Easy to use

Quick onboarding with minimal learning curve

100% compatible and flexible

Seamless integration into your existing working environment

Work from within Jupyter Notebook or JupyterLab

Private, secure, local

All your data remains private and secure

Use it on your local machine without the need for cloud access

Satisfies the requirements of your IT department

pandas_ui-data-analisis-'s People

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