Plot Data In Pandas using Matplotlib With Label Using Bar Chart | How To Plot Data Using Jupyter

To plot data in Pandas using Matplotlib with labels using a bar chart, you can follow these steps. I'll provide you with an example using Python code:

First, make sure you have both Pandas and Matplotlib installed. You can install them using pip if you haven't already:

Now, let's assume you have a Pandas DataFrame with data that you want to plot as a bar chart. Here's an example of how to do this:
-------------------------------------------------------------------------------------------------------------------
# TASK: PLOTING DATA WITH VARIABLE AND DEFINING X AND Y LABEL WITH TITLE

x=('Math','Science','Art','Eco','Hindi','English')
y=[60,70,55,65,80,90]
---------------------------------------------------------------------------------------------------------------------
In this code:

We import the necessary libraries, which are Pandas and Matplotlib.
We create a Pandas DataFrame with sample data, where 'x' represents the subject names, and 'y' represents the number of respective subject.

We create a bar chart using Matplotlib and customize it.

Later we have added Label in x and y axis named as 'subject' and 'number'

You can replace the sample data in the DataFrame with your own data, and customize the chart further as needed for your specific dataset.