Pavol Lisy wrote:
> pandas is one of reasons why python is so popular these days. But
> "there is only milion way how to do it" (and other unpythonic issues)
> I see there every time I am looking at it. :)
Yeah, such a useful tool with such a byzantine API, completely at odds with
the zen -- I w
On 9/21/17, Peter Otten <__pete...@web.de> wrote:
> 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[n
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 onl
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
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 RE
