像这样?
In [45]: import seaborn as sns
In [46]: sns.lmplot(x='fdr_old', y='fdr_new', data=df)
Out[46]: <seaborn.axisgrid.FacetGrid at 0xbb8b470>
结果:
UPDATE:两列之间的相关性:
In [47]: df.filter(like='fdr').corr()
Out[47]:
fdr_new fdr_old
fdr_new 1.000000 0.551083
fdr_old 0.551083 1.000000