OK I think the easiest thing is to construct a TimedeltaIndex
from the floats and add this to the scalar datetime for 1900,1,1
:
In [85]:
import datetime as dt
import pandas as pd
df = pd.DataFrame({'date':[42580.3333333333, 10023]})
df
Out[85]:
date
0 42580.333333
1 10023.000000
In [86]:
df['real_date'] = pd.TimedeltaIndex(df['date'], unit='d') + dt.datetime(1900,1,1)
df
Out[86]:
date real_date
0 42580.333333 2016-07-31 07:59:59.971200
1 10023.000000 1927-06-12 00:00:00.000000
OK it seems that excel is a bit weird with it's dates thanks @ayhan:
In [89]:
df['real_date'] = pd.TimedeltaIndex(df['date'], unit='d') + dt.datetime(1899, 12, 30)
df
Out[89]:
date real_date
0 42580.333333 2016-07-29 07:59:59.971200
1 10023.000000 1927-06-10 00:00:00.000000
See related: How to convert a python datetime.datetime to excel serial date number
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