Phase 3: Data Visualization · ~25 minutes · Python · matplotlib · seaborn

Seaborn for Statistical Plots

Drawing directly on an Axes object never updates matplotlib's notion of the 'current' one. Forget seaborn's ax= argument, and your plot can land somewhere you never touched.

Hiring signal: Always passes ax= explicitly when combining seaborn with a matplotlib subplot grid, having seen exactly where an omitted one actually lands

What you will learn

Build a seaborn statistical plot (boxplot) on top of a matplotlib Axes
Combine a plain matplotlib plot and a seaborn plot in the same figure
Explain that direct Axes-object method calls never change matplotlib's 'current axes' state
Predict where a seaborn call without ax= actually draws, in a multi-subplot figure

Introduction

Type: Learn Languages: Python, matplotlib, seaborn Prerequisites: Lesson 01 (Figures and Axes, the Object-Oriented Way) Time: ~25 minutes

Objective

Learning objectives

Build a seaborn statistical plot (boxplot) on top of a matplotlib Axes
Combine a plain matplotlib plot and a seaborn plot in the same figure
Explain that direct Axes-object method calls never change matplotlib's "current axes" state
Predict where a seaborn call without ax= actually draws, in a multi-subplot figure

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