BRIEF OVERVIEW

Matplotlib is a popular data visualization library in Python that allows you to create various types of plots, charts, and graphs. It can be used effectively in Databricks notebooks for analyzing and visualizing data.

To use Matplotlib in Databricks, you need to follow these steps:

1. Import the necessary libraries: First, import the required libraries including Matplotlib by running the following code:

“`python
import matplotlib.pyplot as plt
“`

2. Create or obtain your dataset: Prepare your dataset or load it from an external source like CSV files or databases.
3. Create a plot: Use Matplotlib functions to create different types of plots such as line plots, scatter plots, bar graphs, histograms, etc. Customize them with labels, titles, legends as per your requirements.

“`python
# Example Line Plot
x = [1,2,3]
y = [4 ,5 ,6]

plt.plot(x,y)
plt.xlabel(‘X-axis’)
plt.ylabel(‘Y-axis’)
plt.title(‘Line Plot’)

# Show the plot
plt.show()
“`

4. Display the plot: Once you have created your desired plot using Matplotlib functions and customized it according to your needs,
   use `plt.show()` function at the end of your code snippet to display the plot within Databricks notebook.

FAQs (Frequently Asked Questions)

Q: What is Databricks?

A: Databricks is a unified analytics platform that provides an environment for big data processing and machine learning. It enables users to collaborate on projects, write code in multiple languages, and perform data analysis.

Q: How do I install Matplotlib in Databricks?

A: Matplotlib is pre-installed in the Databricks runtime environment. You can start using it directly without any additional installation steps.

Q: Can I save the plots created with Matplotlib in Databricks?

A: Yes, you can save your plots as image files using the `savefig()` function provided by Matplotlib. For example:

“`python
plt.savefig(‘/dbfs/FileStore/plot.png’)
“`

This will save the plot as “plot.png” in your FileStore directory within Databricks.

BOTTOM LINE

Matplotlib is a powerful library that allows you to create visually appealing plots and charts within Databricks notebooks. By following the mentioned steps, you can effectively use Matplotlib for analyzing and visualizing your data.