Introdução à Visualização de Dados com o Seaborn
Erin Case
Data Scientist

import matplotlib.pyplot as plt import seaborn as sns g = sns.catplot(x="time", y="total_bill", data=tips, kind="box")plt.show()

import matplotlib.pyplot as plt import seaborn as sns g = sns.catplot(x="time", y="total_bill", data=tips, kind="box", order=["Dinner", "Lunch"])plt.show()

import matplotlib.pyplot as plt import seaborn as sns g = sns.catplot(x="time", y="total_bill", data=tips, kind="box", sym="")plt.show()

whis=2.0whis=[5, 95]whis=[0, 100]import matplotlib.pyplot as plt import seaborn as sns g = sns.catplot(x="time", y="total_bill", data=tips, kind="box", whis=[0, 100])plt.show()

Introdução à Visualização de Dados com o Seaborn