Visualizing Pandas DataFrame tabular data using the Plotly visualization library is a powerful data exploration and analysis tool

Visualizing Pandas DataFrame tabular data using the Plotly visualization library is a powerful data exploration and analysis tool. Plotly provides rich interactive functions and beautiful graphic display, making data analysis more intuitive and easy to understand. In this article, we will explore how to achieve this using the Python programming language along with the Plotly library.

First, we need to install the Plotly library. Plotly can be installed using pip with the following command:

pip install plotly

After the installation is complete, we can start writing code. First, import the required libraries:

import pandas as pd
import plotly.express as px

Next, we need to prepare an example Pandas DataFrame. In this article, we'll use a simple example dataset with some students' names, ages, and grades:

data = {
   
    
    
    'Name': [