Auto数据集分类变量分析

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
auto = pd.read_csv('https://liangdaima.com/static/data/statistics/Auto.csv')
auto['horsepower'] = pd.to_numeric(auto['horsepower'], errors='coerce')
auto = auto.dropna()
plt.figure(figsize=(10, 6))
sns.boxplot(x='origin', y='mpg', data=auto)
plt.title('不同origin的mpg分布')
plt.show()