Convert pandas series to string and datetime object

[Peter Otten]

zljubisic at gmail.com wrote:

> I have sliced the pandas dataframe
> 
> end_date = df[-1:]['end']
> 
> type(end_date)
> Out[4]: pandas.core.series.Series
> 
> end_date
> Out[3]:
> 48173   2017-09-20 04:47:59
> Name: end, dtype: datetime64[ns]
> 
> 1.	How to get rid of index value 48173 and get only "2017-09-20 
04:47:59"
> string? I have to call REST API with "2017-09-20 04:47:59" as a parameter,
> so I have to get string from pandas datetime64 series.
> 2.	How to get rid of index value 48173 and get only datetime object
> [something like datetime.datetime.strptime('2017-09-20 04:47:59',
> '%Y-%m-%d %H:%M:%S')]. Later I will have to check if '2017-09-20 04:47:59'
> < datetime.datetime(2017,1,9)
> 
> How to do these conversions?

After a web search and some trial and error:

>>> d = pd.DataFrame([[1, datetime.datetime.now()], [2, 
datetime.datetime.now()]], columns=["whatever", "end"])
>>> d
   whatever                        end
0         1 2017-09-21 22:36:52.342757
1         2 2017-09-21 22:36:52.349973

[2 rows x 2 columns]
>>> d["end"].astype(datetime.datetime).values[-1]
datetime.datetime(2017, 9, 21, 22, 36, 52, 349973)