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Numerical Computing with Python

You're reading from   Numerical Computing with Python Harness the power of Python to analyze and find hidden patterns in the data

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789953633
Length 682 pages
Edition 1st Edition
Languages
Concepts
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Authors (5):
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Pratap Dangeti Pratap Dangeti
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Pratap Dangeti
Theodore Petrou Theodore Petrou
Author Profile Icon Theodore Petrou
Theodore Petrou
Allen Yu Allen Yu
Author Profile Icon Allen Yu
Allen Yu
Aldrin Yim Aldrin Yim
Author Profile Icon Aldrin Yim
Aldrin Yim
Claire Chung Claire Chung
Author Profile Icon Claire Chung
Claire Chung
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Table of Contents (21) Chapters Close

Title Page
Contributors
About Packt
Preface
1. Journey from Statistics to Machine Learning FREE CHAPTER 2. Tree-Based Machine Learning Models 3. K-Nearest Neighbors and Naive Bayes 4. Unsupervised Learning 5. Reinforcement Learning 6. Hello Plotting World! 7. Visualizing Online Data 8. Visualizing Multivariate Data 9. Adding Interactivity and Animating Plots 10. Selecting Subsets of Data 11. Boolean Indexing 12. Index Alignment 13. Grouping for Aggregation, Filtration, and Transformation 14. Restructuring Data into a Tidy Form 15. Combining Pandas Objects 1. Other Books You May Enjoy Index

Two-dimensional faceted plots


We are going to introduce three major ways to create faceted plots: seaborn.factorplot(), seaborn.FacetGrid(), and seaborn.pairplot(). You might have seen some faceted plots in the previous chapter, when we talked about seaborn.lmplot(). Actually, the seaborn.lmplot() function combines seaborn.regplot() with seaborn.FacetGrid(), and the definitions of data subsets can be adjusted by the hue, col, and row parameters.

We are going to introduce three major ways to create faceted plots: seaborn.factorplot(), seaborn.FacetGrid(), and seaborn.pairplot(). These functions actually work similarly to seaborn.lmplot() in the way of defining facets.

Factor plot in Seaborn

With the help of seaborn.factorplot(), we can draw categorical point plots, box plots, violin plots, bar plots, or strip plots onto a seaborn.FacetGrid() by tuning the kind parameter. The default plot type for factorplot is point plot. Unlike other plotting functions in Seaborn, which support a wide variety...

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