2017-06-12 40 views

回答

0

您显示的图是通过seaborn jointplot生成的。

This example显示如何产生这种情节。

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() 

enter image description here