从seaborn kdeplot级别2Dpython中提取数据

如何解决从seaborn kdeplot级别2Dpython中提取数据

当 kdeplot 的输入是 2D 时，是否可以从 kdeplot 中获取数据？我有以下几点：

import numpy as np    
from seaborn import kdeplot

lA = np.randon.normal(1,0.2,1000)
ld = np.randon.normal(1,1000)
kde = kdeplot(x=lA,y=ld)

如果这只是一维，我可以通过以下方式获取信息：

lA = np.randon.normal(1,1000)
kde = kdeplot(lA)
line = kde.lines[0]
x,y = line.get_data()

但是由于输入是 2D (lA,ld) ，它返回一个 <Axessubplot:> 对象，我不知道如何解包它的信息，因为 kde.lines[0] 然后返回 list index out of range。
我需要计算每个绘制轮廓轴的最大值和最小值（单独）作为每个变量的离散度。

解决方法

您可以从 LineCollection 对象中获取图中绘制的路径。

import numpy as np    
from seaborn import kdeplot
import random
from matplotlib.collections import LineCollection

lA = np.random.normal(1,0.2,1000)
ld = np.random.normal(1,1000)
kde = kdeplot(x=lA,y=ld)

data = []
for i in kde.get_children():
    if i.__class__.__name__ == 'LineCollection':
        data.append(i.get_paths())

kde.get_children()
[<matplotlib.collections.LineCollection at 0x28fb3ec2fd0>,<matplotlib.collections.LineCollection at 0x28fb3ed5320>,<matplotlib.collections.LineCollection at 0x28fb3ed55f8>,<matplotlib.collections.LineCollection at 0x28fb3ed58d0>,<matplotlib.collections.LineCollection at 0x28fb3ed5ba8>,<matplotlib.collections.LineCollection at 0x28fb3ed5e80>,<matplotlib.collections.LineCollection at 0x28fb3ee1198>,<matplotlib.collections.LineCollection at 0x28fb3ee1470>,<matplotlib.collections.LineCollection at 0x28fb3ee1748>,<matplotlib.collections.LineCollection at 0x28fb3ee1a20>,<matplotlib.spines.Spine at 0x28fb0cd3898>,<matplotlib.spines.Spine at 0x28fb0cd3978>,<matplotlib.spines.Spine at 0x28fb0cd3a58>,<matplotlib.spines.Spine at 0x28fb0cd3b38>,<matplotlib.axis.XAxis at 0x28fb0cd3828>,<matplotlib.axis.YAxis at 0x28fb0cd3eb8>,Text(0.5,1.0,''),Text(0.0,Text(1.0,<matplotlib.patches.Rectangle at 0x28fb3eb9630>]

data[0]
[Path(array([[1.0194036,0.43072548],[1.02780525,0.42839334],[1.0362069,0.4265304 ],...,[1.01100196,0.43337965],[1.01752133,0.43134949],[1.0194036,0.43072548]]),None)]

感谢初学者的解决方案，它确实解决了问题。我只是在访问 data[0] 以获取“顶点”值时遇到了一些麻烦，因为它是一个 Path 对象，而我不熟悉这些。但是按照您的回答，我认为使用它可能更直接（对于我的特定问题）：

import matplotlib.pyplot as plt
from seaborn import kdeplot
from matplotlib import collections
import numpy as np

lA = np.random.normal(1,y=ld,levels=[0.3173]) # to get 1-sigma equivalent level

# Here I get the vertices information for each axis
p = kde.collections[0].get_paths()[0]
v = p.vertices
lx = [v[r][0] for r in range(len(v))]
ly = [v[r][1] for r in range(len(v))]

# Then I plot the horizontal limits of lx
plt.axvline(min(lx),c='r')
plt.axvline(max(lx),c='r')
plt.show()