线性符合pandas.datetime64值?

我有一个数据框,有两列(年龄、日期),指示一个人的年龄和当前日期。我想根据这些数据估计出生日期。我想用一个线性模型来找到截获,但它不是开箱即用的。熊猫不支持 ols()

import pandas as pd
import seaborn as sns
from pandas import Timestamp

age = [30, 31, 31, 32, 32, 32, 32, 32, 32, 32, 33, 33, 33, 34, 34]
date = [Timestamp('2001-02-10 00:01:00'),
 Timestamp('2001-11-12 00:01:00'),
 Timestamp('2002-02-27 00:01:00'),
 Timestamp('2002-07-05 00:01:00'),
 Timestamp('2002-07-20 00:01:00'),
 Timestamp('2002-08-15 00:01:00'),
 Timestamp('2002-09-08 00:01:00'),
 Timestamp('2002-10-15 00:01:00'),
 Timestamp('2002-12-21 00:01:00'),
 Timestamp('2003-04-04 00:01:00'),
 Timestamp('2003-07-29 00:01:00'),
 Timestamp('2003-08-11 00:01:00'),
 Timestamp('2004-02-28 00:01:00'),
 Timestamp('2005-01-11 00:01:00'),
 Timestamp('2005-01-12 00:01:00')]

df = pd.DataFrame({'age': age, 'date': date})

sns.regplot(df.age, df.date)

类型错误:此数据类型不允许还原操作“mean”