A Complete Guide To Bamboolib - GUI Tool for Analyzing Pandas

A Complete Guide To Bamboolib - GUI Tool for Analyzing Pandas

Bamboolib is GUI for pandas DataFrames that enables anyone to work with python in Jupyter Notebook or JupyterLab. Used or Analyzing and Visualizing Data.nalyzing and Visualizing the data is the most important and time taking process. We need to invest a lot of time in order to clearly analyze what the data is all about and what it is trying to tell.

Analyzing and Visualizing the data is the most important and time taking process. We need to invest a lot of time in order to clearly analyze what the data is all about and what it is trying to tell. We use different types of python libraries and functions to visualize the patterns and anomalies in the dataset in order to get familiar with the dataset.  

Bamboolib is GUI for pandas DataFrames that enables anyone to work with python in Jupyter Notebook or JupyterLab. Bamboolib is a highly interactive and extensively helpful library in order to analyze, visualize, and manipulate the data. Even a person with a non-technical background can use it to draw insights from data because it does not require any coding experience. 

Bamboolib is used by more than 100 companies and it allows data analysts to work with python even without writing code. Bamboolib is not open-source which means that you need to buy bamboolib in order to use it, but it provides a 14-day free trial version so that you can fully explore it and see how it can be useful for you.


In this article, we will explore different uses of bamboolib and see how it saves time and effort. We will explore different functions that bamboolib provides and also export the code used for that functionality.

Implementation of Bamboolib:

For exploring bamboolib we first need to register on their website for a 14 days free trial. After registering you will receive an email with the activation key on registered email-id. Like any other python library, we need to install bamboolib using pip install bamboolib.

  1. Importing required libraries

We will need to import pandas for loading the dataset and bamboolib for visualizing the dataset. 

import bamboolib as bam

import pandas as pd

  1. Loading the dataset

We will be using a car design dataset here, which contains different attributes related to Automobile Manufacturing companies. You can download this dataset from Kaggle. We will use pandas to load this dataset.

df = pd.read_csv(‘car_design.csv’)

  1. Analyzing the dataset

This is the main step where we will analyze and visualize the dataset using bamboolib. 

bam.show(df)

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