无法获取Seaborn对图中的回归线和方差边界

Question

当使用kind=reg绘制seaborn.pairplot ，如http://seaborn.pydata.org/generated/seaborn.pairplot.html上的示例所示，我无法获得回归线及其周围的方差范围。

import pandas pd
import seaborn as sns
import numpy as np
import matplotlib as plt
# Preparing random dataFrame with two colums, viz., random x and lag-1 values 
lst1 = list(np.random.rand(10000))
df = pd.DataFrame({'x1':lst1})
df['x2'] = df['x1'].shift(1)
df = df[df['x2'] > 0]
# Plotting now
pplot = sns.pairplot(df, kind="reg")
pplot.set(ylim=(min(df['x1']), max(df['x1'])))
pplot.set(xlim=(min(df['x1']), max(df['x1'])))
plt.show()

Answer 1

回归线就在那儿，您只是看不到它，因为它被图中不自然地高数量的点所隐藏。

因此，让我们减少点的数量，您将看到预期的回归。

import pandas as pd
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
# Preparing random dataFrame with two colums, viz., random x and lag-1 values 
lst1 = list(np.random.rand(100))
df = pd.DataFrame({'x1':lst1})
df['x2'] = df['x1'].shift(1)
df = df[df['x2'] > 0]
# Plotting now
pplot = sns.pairplot(df, kind="reg")

plt.show()