Using plt.scatter() to Visualize Data in Python
An important part of working with data is being able tovisualize it. Python has several third-party modules you can use for data visualization. One of the most popular modules isMatplotlib and its submodulepyplot, often referred to using the aliasplt. Matplotlib provides a very versatile tool calledplt.scatter() that allows you to create both basic and more complex scatter plots.
In this course, you’ll learn how to:
- Create ascatter plot using
plt.scatter() - Use the required and optionalinput parameters
- Customize scatter plots forbasic and more advanced plots
- Representmore than two dimensions on a scatter plot
What’s Included:
- 11 Lessons
- Video Subtitles and Full Transcripts
- 2 Downloadable Resources
- Accompanying Text-Based Tutorial
- Q&A With Python Experts: Ask a Question
- Certificate of Completion
Downloadable Resources:
Related Learning Paths:
Using plt.scatter() to Visualize Data in Python
11 Lessons 31m
- 1. Using plt.scatter() to Visualize Data in Python (Overview)01:21
- 2. Creating Scatter Plots06:09
- 3. Customizing Markers in Scatter Plots00:31
- 4. Changing the Size02:28
- 5. Changing the Color01:57
- 6. Changing the Shape03:28
- 7. Changing the Transparency02:06
- 8. Customizing the Colormap and Style03:04
- 9. Exploring plt.scatter() Further07:27
- 10. Reviewing the Key Input Parameters02:10
- 11. Using plt.scatter() to Visualize Data in Python (Summary)00:58
AboutDarren Jones
With 20 years as a teacher of music technology, Darren is keen to bring his skills to the Python table.
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