课程

Intermediate Data Visualization with Seaborn

中级技能水平

更新时间 2026年5月

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.

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PythonData Visualization4 小时13 视频50 练习4,200 经验值74,691成就声明

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课程描述

Do you want to make beautiful, informative visualizations with ease? If so, then you must learn seaborn! Seaborn is a visualization library that is an essential part of the python data science toolkit. In this course, you will learn how to use seaborn's sophisticated visualization tools to analyze multiple real world datasets including the American Housing Survey, college tuition data, and guests from the popular television series, The Daily Show. Following this course, you will be able to use seaborn functions to visualize your data in several different formats and customize seaborn plots for your unique needs.

先决条件

Data Manipulation with pandas

1

Seaborn Introduction

Introduction to the Seaborn library and where it fits in the Python visualization landscape.

Introduction to Seaborn

50 经验值

Seaborn foundation

50 经验值

Reading a csv file

100 经验值

Comparing a histogram and displot

100 经验值

Using the distribution plot

50 经验值

Plot a histogram

100 经验值

Rug plot and kde shading

100 经验值

Interpreting the results

50 经验值

Regression Plots in Seaborn

50 经验值

Create a regression plot

100 经验值

Plotting multiple variables

100 经验值

Facetting multiple regressions

100 经验值

2

Customizing Seaborn Plots

Overview of functions for customizing the display of Seaborn plots.

Using Seaborn Styles

50 经验值

Setting the default style

100 经验值

Comparing styles

100 经验值

Removing spines

100 经验值

Colors in Seaborn

50 经验值

Matplotlib color codes

100 经验值

Using default palettes

100 经验值

Color Palettes

50 经验值

Creating Custom Palettes

100 经验值

Customizing with matplotlib

50 经验值

Using matplotlib axes

100 经验值

Additional plot customizations

100 经验值

Adding annotations

100 经验值

Multiple plots

100 经验值

3

Additional Plot Types

Overview of more complex plot types included in Seaborn.

Categorical Plot Types

50 经验值

stripplot() and swarmplot()

100 经验值

boxplots, violinplots and boxenplots

100 经验值

barplots, pointplots and countplots

100 经验值

Regression Plots

50 经验值

Regression and residual plots

100 经验值

Regression plot parameters

100 经验值

Binning data

100 经验值

Matrix plots

50 经验值

Creating heatmaps

100 经验值

Customizing heatmaps

100 经验值

4

Creating Plots on Data Aware Grids

Using Seaborn to draw multiple plots in a single figure.

Using FacetGrid, catplot and lmplot

50 经验值

Building a FacetGrid

100 经验值

Using a catplot

100 经验值

Using a lmplot

100 经验值

Using PairGrid and pairplot

50 经验值

Building a PairGrid

100 经验值

Using a pairplot

100 经验值

Additional pairplots

100 经验值

Using JointGrid and jointplot

50 经验值

Building a JointGrid and jointplot

100 经验值

Jointplots and regression

100 经验值

Complex jointplots

100 经验值

Selecting Seaborn Plots

50 经验值

Intermediate Data Visualization with Seaborn

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