有没有办法用Seaborn的配对图来强迫科学记数法?我希望图之间有一些一致性(下面的例子)。我已经找到了对其他seaborn情节的建议,但没有成功地实现任何与Pairplot。在
https://seaborn.pydata.org/generated/seaborn.pairplot.html
版本:
seaborn 0.8.1
数字1.13.1
matplotlib 2.0.2
熊猫0.23.0
当前绘图:
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:
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})
电流:
目标:
您需要将格式化程序应用于
pairplot
创建的每个轴。实际上,边上的轴就足够了,但更容易将相同的东西应用到所有轴上。我会这样做:相关问题 更多 >
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