hueで3つ目の変数を追加する

Seaborn を使ったデータ可視化入門

Content Team

DataCamp

tipsデータセット

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/

基本的な散布図

import matplotlib.pyplot as plt
import seaborn as sns

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

plt.show()

Scatter plot of total bill vs. tip amount

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

hueを使った散布図

import matplotlib.pyplot as plt
import seaborn as sns

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

plt.show()

Scatter plot with points colored by smoking status

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

hueの順序を設定する

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()

Scatter plot with smokers before non-smokers in the legend

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

hueの色を指定する

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()

Scatter plot with black and red hue colors

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

Table of color names and hex codes

hueでHTMLの16進カラーコードを使用する

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()

Scatter plot with hex colors

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

カウントプロットでhueを使用する

import matplotlib.pyplot as plt
import seaborn as sns

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

plt.show()

Count plot of smoking status with male versus female subgroups

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

練習しましょう！

Seaborn を使ったデータ可視化入門