错误是一个有用的暗示：JointPlot是子图的集合,你必须找到特定的斧头来绘制.修改Seaborn示例：

import numpy as np

import pandas as pd

import seaborn as sns

from matplotlib.pyplot import show

sns.set(style="white")

# Generate a random correlated bivariate dataset

rs = np.random.RandomState(5)

mean = [0, 0]

cov = [(2, .25), (.5, 1)] # make it asymmetric as a better test of x=y line

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)

x0, x1 = g.ax_joint.get_xlim()

y0, y1 = g.ax_joint.get_ylim()

lims = [max(x0, y0), min(x1, y1)]

g.ax_joint.plot(lims, lims, ':k')

show()

我在翻译中想到这个：dir(g),然后g.plot？,g.plot_joint？ – 那些是绘制特定于联合图的功能 – 还有什么？ – dir(g.ax_joint);啊哈,有set_ylim等