On 2017-09-21 20:27, zljubi...@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]?
--
https://mail.python.org/mailman/listinfo/python-list
