Convert pandas series to string and datetime object
MRAB
python at mrabarnett.plus.com
Thu Sep 21 16:11:03 EDT 2017
On 2017-09-21 20:27, 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?
>
The docs say that pandas.Series is "One-dimensional ndarray with axis
labels (including time series)", so have you tried indexing, such as
end_date[1]?
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