import matplotlib.pyplot as plt
import scipy
import seaborn as sns

# 加载内置的数据集
df = sns.load_dataset('tips')


#create regplot
p = sns.regplot(x='total_bill', y='tip', data=df)

#calculate slope and intercept of regression equation
slope, intercept, r, p, sterr = scipy.stats.linregress(x=p.get_lines()[0].get_xdata(),
                                                       y=p.get_lines()[0].get_ydata())

#add regression equation to plot
result_string = f"$y = {slope:.2f}x + {intercept:.2f}$"

plt.figtext(0.5, 0.6, result_string)

plt.show()

运行结果如下：

2024年2月7日22:33:05