Converting pandas.tslib.Timestamp to datetime python

Just try to_pydatetime()

>>> import pandas as pd
>>> t = pd.tslib.Timestamp('2016-03-03 00:00:00')
>>> type(t)
pandas.tslib.Timestamp
>>> t.to_pydatetime()
datetime.datetime(2016, 3, 3, 0, 0)

Change to datetime.date type

>>> t.date()
datetime.date(2016, 3, 3)

Just an update to the question, I have tried the most upvoted answer, and it gives me this warning

usr/local/lib/python3.5/dist-packages/IPython/core/interactiveshell.py:2910: FutureWarning: to_datetime is deprecated. Use self.to_pydatetime() exec(code_obj, self.user_global_ns, self.user_ns)

And suggest me to use to_pydatetime()

For example

sample = Timestamp('2018-05-02 10:08:54.774000')

sample.to_datetime() will return datetime.datetime(2018, 4, 30, 10, 8, 54, 774000)

Assuming you are trying to convert pandas timestamp objects, you can just extract the relevant data from the timestamp:

#Create the data
data = {1: tslib.Timestamp('2013-01-03 00:00:00', tz=None), 2: tslib.Timestamp('2013-01-04 00:00:00', tz=None), 3: tslib.Timestamp('2013-01-03 00:00:00', tz=None)}

#convert to df
df = pandas.DataFrame.from_dict(data, orient = 'index')
df.columns = ['timestamp']

#generate the datetime
df['datetime'] = df['timestamp'].apply(lambda x: datetime.date(x.year,x.month,x.day))

Of course, if you need seconds, minutes, and hours, you can include those as arguments for the function datetime.datetime as well.

I had the same issue, and tried the solution from @aikramer2, to add a column to my df of type 'datetime.datetime', but again i got a pandas data type:

#libraries used -
import pandas as pd
import datetime as dt

#loading data into a pandas df, from a local file. note column [1] contains a datetime column -
savedtweets = pd.read_csv('/Users/sharon/Documents/ipython/twitter_analysis/conftwit.csv', sep='\t', 
                      names=['id', 'created_at_string', 'user.screen_name', 'text'], 
                      parse_dates={"created_at" : [1]})
print int(max(savedtweets['id'])) #535073416026816512
print type(savedtweets['created_at'][0]) # result is <class 'pandas.tslib.Timestamp'>

# add a column specifically using datetime.datetime library -
savedtweets['datetime'] = savedtweets['created_at'].apply(lambda x: dt.datetime(x.year,x.month,x.day))
print type(savedtweets['datetime'][0]) # result is <class 'pandas.tslib.Timestamp'>

i suspect pandas df cannot store a datetime.datetime data type. I got success when i made a plain python list to store the datetime.datetime values:

savedtweets = pd.read_csv('/Users/swragg/Documents/ipython/twitter_analysis/conftwit.csv', sep='\t', 
                      names=['id', 'created_at_string', 'user.screen_name', 'text'], 
                      parse_dates={"created_at" : [1]})
print int(max(savedtweets['id'])) #535073416026816512
print type(savedtweets['created_at'][0]) # <class 'pandas.tslib.Timestamp'>
savedtweets_datetime= [dt.datetime(x.year,x.month,x.day,x.hour,x.minute,x.second) for x in savedtweets['created_at']]
print savedtweets_datetime[0] # 2014-11-19 14:13:38
print savedtweets['created_at'][0] # 2014-11-19 14:13:38
print type(dt.datetime(2014,3,5,2,4)) # <type 'datetime.datetime'>
print type(savedtweets['created_at'][0].year) # <type 'int'>
print type(savedtweets_datetime) # <type 'list'>