关系图与子图简介

Seaborn 数据可视化入门

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关于定量变量的问题

关系图

身高 vs. 体重

身高与体重的散点图

关于定量变量的问题

关系图

身高 vs. 体重
缺课次数 vs. 期末成绩

缺课次数与期末成绩的散点图

关于定量变量的问题

关系图

身高 vs. 体重
缺课次数 vs. 期末成绩
GDP vs. 识字率

GDP 与识字率的散点图

带色相的散点图

¹ Waskom, M. L. (2021). seaborn: statistical data visualization. https://seaborn.pydata.org/

带子图的散点图

¹ Waskom, M. L. (2021). seaborn: statistical data visualization. https://seaborn.pydata.org/

relplot() 简介

创建"关系图"：散点图或折线图

为何用 relplot() 而非 scatterplot()？

relplot() 可在一张图中创建多个子图

scatterplot() vs. relplot()

使用 scatterplot()

import seaborn as sns
import matplotlib.pyplot as plt

sns.scatterplot(x="total_bill", 
                y="tip", 
                data=tips)

plt.show()

使用 relplot()

import seaborn as sns
import matplotlib.pyplot as plt

sns.relplot(x="total_bill", 
            y="tip", 
            data=tips,
            kind="scatter")

plt.show()

¹ Waskom, M. L. (2021). seaborn: statistical data visualization. https://seaborn.pydata.org/

按列创建子图

import seaborn as sns
import matplotlib.pyplot as plt

sns.relplot(x="total_bill", 
            y="tip", 
            data=tips,
            kind="scatter",
            col="smoker")

plt.show()

按是否吸烟分列的散点子图

¹ Waskom, M. L. (2021). seaborn: statistical data visualization. https://seaborn.pydata.org/

按行创建子图

import seaborn as sns
import matplotlib.pyplot as plt

sns.relplot(x="total_bill", 
            y="tip", 
            data=tips,
            kind="scatter",
            row="smoker")

plt.show()

按是否吸烟分行的散点子图

¹ Waskom, M. L. (2021). seaborn: statistical data visualization. https://seaborn.pydata.org/

按行与列创建子图

import seaborn as sns
import matplotlib.pyplot as plt

sns.relplot(x="total_bill", 
            y="tip", 
            data=tips,
            kind="scatter",
            col="smoker",
            row="time")

plt.show()

按是否吸烟与用餐时段的子图散点图

¹ Waskom, M. L. (2021). seaborn: statistical data visualization. https://seaborn.pydata.org/

按星期创建子组

按星期几分列的散点子图

¹ Waskom, M. L. (2021). seaborn: statistical data visualization. https://seaborn.pydata.org/

列换行显示

import seaborn as sns
import matplotlib.pyplot as plt

sns.relplot(x="total_bill", 
            y="tip", 
            data=tips,
            kind="scatter",
            col="day",
            col_wrap=2)

plt.show()

按星期分列并换行的散点子图

¹ Waskom, M. L. (2021). seaborn: statistical data visualization. https://seaborn.pydata.org/

设置列顺序

import seaborn as sns
import matplotlib.pyplot as plt

sns.relplot(x="total_bill", 
            y="tip", 
            data=tips,
            kind="scatter",
            col="day",
            col_wrap=2,
            col_order=["Thur",
                       "Fri",
                       "Sat",
                       "Sun"])

plt.show()

按指定顺序排列的星期子图散点图

¹ Waskom, M. L. (2021). seaborn: statistical data visualization. https://seaborn.pydata.org/

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Seaborn 数据可视化入门