用 hue 加入第三個變數

Seaborn 資料視覺化入門

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Tips 資料集

import pandas as pd
import seaborn as sns

tips = sns.load_dataset("tips")

tips.head()

   total_bill   tip     sex smoker  day    time  size
0       16.99  1.01  Female     No  Sun  Dinner     2
1       10.34  1.66    Male     No  Sun  Dinner     3
2       21.01  3.50    Male     No  Sun  Dinner     3
3       23.68  3.31    Male     No  Sun  Dinner     2
4       24.59  3.61  Female     No  Sun  Dinner     4

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

基本散佈圖

import matplotlib.pyplot as plt
import seaborn as sns

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

plt.show()

總帳單對小費的散佈圖

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

含 hue 的散佈圖

import matplotlib.pyplot as plt
import seaborn as sns

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

plt.show()

依是否吸菸著色的散佈圖

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

設定 hue 的順序

import matplotlib.pyplot as plt
import seaborn as sns

sns.scatterplot(x="total_bill", 
                y="tip", 
                data=tips,
                hue="smoker",
                hue_order=["Yes", 
                           "No"])

plt.show()

圖例中吸菸者列在不吸菸者之前的散佈圖

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

指定 hue 色彩

import matplotlib.pyplot as plt
import seaborn as sns

hue_colors = {"Yes": "black", 
              "No": "red"}

sns.scatterplot(x="total_bill", 
                y="tip", 
                data=tips,
                hue="smoker",
                palette=hue_colors)

plt.show()

使用黑色與紅色 hue 的散佈圖

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

顏色名稱與十六進位色碼對照表

在 hue 使用 HTML 十六進位色碼

import matplotlib.pyplot as plt
import seaborn as sns

hue_colors = {"Yes": "#808080", 
              "No": "#00FF00"}

sns.scatterplot(x="total_bill", 
                y="tip", 
                data=tips,
                hue="smoker",
                palette=hue_colors)

plt.show()

使用十六進位色碼的散佈圖

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

在計數圖使用 hue

import matplotlib.pyplot as plt
import seaborn as sns

sns.countplot(x="smoker", 
              data=tips, 
              hue="sex")

plt.show()

依吸菸狀態分組，並以性別區分的計數圖

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

一起來練習吧！

Seaborn 資料視覺化入門