无法获取Seaborn对图中的回归线和方差边界

Question

I am unable to get regression line and the variance bounds around it while plotting seaborn.pairplot with kind=reg as shown in the examples at http://seaborn.pydata.org/generated/seaborn.pairplot.html

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

The regression line is there, you just don't see it, because it's hidden by the unnaturally high number of points in the plot.

So let's reduce the number of points and you'll see the regression as expected.

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()