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:
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TASK: PLOTING DATA WITH VARIABLE AND DEFINING X AND Y LABEL WITH TITLE
import matplotlib.pyplot as plt
x=('Math','Science','Art','Eco','Hindi','English')
y=[60,70,55,65,80,90]
plt.bar(x,y)
plt.ylabel('number')
plt.xlabel('subject')
plt.show()
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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'
Finally, we display the chart using plt.show().
You can replace the sample data in the DataFrame with your own data, and customize the chart further as needed for your specific dataset.
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