wrong Y scale with pairgrid

Following code scales Y axis with small values wrong in half of cases:

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

df = pd.DataFrame(np.random.randn(100,4), columns=list('ABCD'))
df.A = df.A/1e6
df.B = df.B/1e3
df.D = df.D*1e3

sns.pairplot(df, vars=["A", "B", "C", "D"])

sns.PairGrid(df).map(plt.scatter) will autoscale both axes wrong in every case for small values:

Probably this goes to plt.scatter, because plt.scatter([-1e-6, 1e-6], [-1e-6, 1e-6]) won’t autoscale right.

#862 is about exactly this, however, I’m still puzzled with half-normal pairplot behavior, seems it should return diag-symmetrical plots even with wrong autoscale in scatter function.

[thomascarreau]

You want

sns.PairGrid(df.dropna(), diag_sharey=False)

to solve the issue.

[naresh-patra]

Yes, I don’t understand exactly what the issue with autoscaling is, but this is a problem at the matplotlib layer.

I am facing same problem. Is there any way to control the y-axis of each diagnal plot of seaborn.pairgrid plot?