Seb wrote:
> On Thu, 24 Nov 2016 10:18:21 +0100,
> Peter Otten <__pete...@web.de> wrote:
>
>> Is win_files huge? Then it might help to avoid going over the entire
>> list for every interval. Instead you can sort the list and then add to
>> the current list while you are below nextw.
>
>> My pand
On Thu, 24 Nov 2016 10:18:21 +0100,
Peter Otten <__pete...@web.de> wrote:
> Is win_files huge? Then it might help to avoid going over the entire
> list for every interval. Instead you can sort the list and then add to
> the current list while you are below nextw.
> My pandas doesn't seem to have
Seb wrote:
> Hello,
>
> Given a list of files:
>
> In [81]: ec_files[0:10]
> Out[81]:
>
> [u'EC_20160604002000.csv',
> u'EC_2016060401.csv',
> u'EC_20160604012000.csv',
> u'EC_20160604014000.csv',
> u'EC_2016060402.csv']
>
> where the numbers are are a timestamp with format %Y%m%d%
Hello,
Given a list of files:
In [81]: ec_files[0:10]
Out[81]:
[u'EC_20160604002000.csv',
u'EC_2016060401.csv',
u'EC_20160604012000.csv',
u'EC_20160604014000.csv',
u'EC_2016060402.csv']
where the numbers are are a timestamp with format %Y%m%d%H%M%S, I'd like
to generate a list of m
