Dear all, Dear Peter,
could you suggest me one?
Thanks a lot,
Diego
On Monday, 4 February 2019 13:58:17 UTC+1, Diego Avesani wrote:
> Dear all,
>
> I have this dataframe:
>
> datatime,T,RH,PSFC,DIR,VEL10,PREC,RAD,CC,FOG
> 2012-01-01 06:00, 0.4,100, 911,321, 2.5, 0.0, 0, 0,0
> 2012-01-01 07:00, 0.8,100, 911,198, 0.8, 0.0, 0, 22,0
> 2012-01-01 08:00, 0.6,100, 912, 44, 1.2, 0.0, 30, 22,0
> 2012-01-01 09:00, 3.1, 76, 912, 22, 0.8, 0.0, 134, 44,0
> 2012-01-01 10:00, 3.4, 77, 912, 37, 0.5, 0.0, 191, 67,0
> 2012-01-01 11:00, 3.5,100, 912,349, 0.4, 0.0, 277, 44,0
> 2012-01-01 12:00, 3.6,100, 912, 17, 0.9, 0.0, 292, 22,0
> 2012-01-01 13:00, 3.5,100, 912, 28, 0.3, 0.0, 219, 44,0
> 2012-01-01 14:00, 3.3, 68, 912, 42, 0.5, 0.0, 151, 22,0
>
> ....
> ....
>
> I would like to plot and analyse different part of it. Consequently I have
> created the following variables in order to manage different period:
>
> start_date = np.array(['2012-01-01 06:00','2013-01-01 06:00','2014-01-01
> 06:00'])
> end_date = np.array(['2013-01-01 05:00','2014-01-01 05:00','2015-01-01
> 05:00'])
>
> However, if I try to perform the following cycle:
>
> for ii in range(0, 1):
> pd.read_csv('dati.csv',delimiter=',',header=0,parse_dates=True,
> na_values=-999)
> df['datatime'] = df['datatime'].map(lambda x: datetime.strptime(str(x),
> "%Y-%m-%d %H:%M"))
> #
> mask = (df['datatime'] > start_date[ii]) & (df['datatime'] <= end_date[ii])
>
> I get the following error:
>
> return _get_dtype_type(np.dtype(arr_or_dtype))
> File "/usr/lib/python2.7/dist-packages/numpy/core/_internal.py", line 173,
> in _commastring
> (len(result)+1, astr))
> ValueError: format number 1 of "2012-01-01 06:00" is not recognized
>
>
>
> On the contrary, if I use the simple variables:
> start_date = 2012-01-01 06:00
> end_date = 2013-01-01 05:00
>
> without the cycle, it works.
>
> I really do not understand why.
>
> Thanks a lot,
> Diego
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