Day delta for dates >292 years apart

I try to obtain day deltas for a wide range of pandas dates. However, for time deltas >292 years I obtain negative values. For example,

import pandas as pd
dates = pd.Series(pd.date_range('1700-01-01', periods=4500, freq='m'))
days_delta = (dates-dates.min()).astype('timedelta64[D]')

However, using a DatetimeIndex I can do it and it works as I want it to,

import pandas as pd
import numpy as np
dates = pd.date_range('1700-01-01', periods=4500, freq='m')
days_fun = np.vectorize(lambda x: x.days)
days_delta = days_fun(dates.date - dates.date.min())

The question then is how to obtain the correct days_delta for Series objects?