答案 0 :(得分:0)
您显示的地图是通过seaborn jointplot
生成的。
This example展示了如何制作这种情节。
import numpy as np
import pandas as pd
import seaborn as sns
# Generate a random correlated bivariate dataset
rs = np.random.RandomState(5)
mean = [0, 0]
cov = [(1, .5), (.5, 1)]
x1, x2 = rs.multivariate_normal(mean, cov, 500).T
x1 = pd.Series(x1, name="$X_1$")
x2 = pd.Series(x2, name="$X_2$")
# Show the joint distribution using kernel density estimation
g = sns.jointplot(x1, x2, kind="kde", size=7, space=0)
import matplotlib.pyplot as plt
plt.show()