How do I convert a numpy.datetime64
object to a datetime.datetime
(or Timestamp
)?
In the following code, I create a datetime, timestamp and datetime64 objects.
import datetime
import numpy as np
import pandas as pd
dt = datetime.datetime(2012, 5, 1)
# A strange way to extract a Timestamp object, there's surely a better way?
ts = pd.DatetimeIndex([dt])[0]
dt64 = np.datetime64(dt)
In [7]: dt
Out[7]: datetime.datetime(2012, 5, 1, 0, 0)
In [8]: ts
Out[8]: <Timestamp: 2012-05-01 00:00:00>
In [9]: dt64
Out[9]: numpy.datetime64('2012-05-01T01:00:00.000000+0100')
Note: it's easy to get the datetime from the Timestamp:
In [10]: ts.to_datetime()
Out[10]: datetime.datetime(2012, 5, 1, 0, 0)
But how do we extract the datetime
or Timestamp
from a numpy.datetime64
(dt64
)?
.
Update: a somewhat nasty example in my dataset (perhaps the motivating example) seems to be:
dt64 = numpy.datetime64('2002-06-28T01:00:00.000000000+0100')
which should be datetime.datetime(2002, 6, 28, 1, 0)
, and not a long (!) (1025222400000000000L
)...
You can just use the pd.Timestamp constructor. The following diagram may be useful for this and related questions.