**有没有办法使用Seaborn的Pairplot来强制使用科学计数法？**我希望图之间有一些一致性（下面的例子）。我已经找到了其他Seaborn图的建议，但还没有成功地使用Pairplot实现任何东西。

https://seaborn.pydata.org/generated/seaborn.pairplot.html

• 版本：*

海运0.8.1
numpy 1.13.1
Matplotlib 2.0.2
pandas 0.23.0
电流图：

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

#remove NAs
dfna = df.dropna()

#Correlation function
mean = np.zeros(3)
cov = np.random.uniform(.2, .4, (3, 3))
cov += cov.T
cov[np.diag_indices(3)] = 1

def corrfunc(x, y, **kws):
    r, _ = stats.pearsonr(x, y)
    ax = plt.gca()
    ax.annotate("{:.2f}".format(r),
            xy=(.3, .45), xycoords=ax.transAxes, fontsize = 30)

#2D regression + distribution
p = sns.pairplot(dfna, diag_kind="kde", diag_kws=dict(shade=True, color = "Blue"), plot_kws=dict(s=5, edgecolor="Blue", color = "Blue", linewidth=1))
p.fig.text(0.5, 1.00,'BLAHH', fontsize=30)
p.map_upper(plt.scatter, color = "White", edgecolor = "White")
p.map_upper(corrfunc)
p.fig.text(0.35, -0.04, "xxx", ha ='left', fontsize = 20)
p.fig.text(-0.04, 0.68, "xxx", ha ='left', fontsize = 20, rotation = 90)

#p.savefig('pairplot.svg')

尝试重新格式化失败：
1.

plt.ticklabel_format(style = 'sci')

import matplotlib.ticker as tkr        
formatter = tkr.ScalarFormatter(useMathText=True)
formatter.set_scientific(True)
p = sns.pairplot(dfna, plot_kws = {'format': formatter})

当前：

目标：