Get MM-DD-YYYY from pandas Timestamp

Question

dates seem to be a tricky thing in python, and I am having a lot of trouble simply stripping the date out of the pandas TimeStamp. I would like to get from 2013-09-29

Answer 1

Maybe this only came in recently, but there are built-in methods for this. Try:

In [27]: s = pd.Series(pd.date_range(pd.Timestamp('now'), periods=2))
In [28]: s
Out[28]: 
0   2016-02-11 19:11:43.386016
1   2016-02-12 19:11:43.386016
dtype: datetime64[ns]
In [29]: s.dt.to_pydatetime()
Out[29]: 
array([datetime.datetime(2016, 2, 11, 19, 11, 43, 386016),
   datetime.datetime(2016, 2, 12, 19, 11, 43, 386016)], dtype=object)