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
Diego Avesani wrote:
> Dear Peter, Deal all,
>
> Trying different options, I manage this solution:
>
>mask = (df['datatime'] > str(start_date[ii])) & (df['datatime'] <=
>str(end_date[ii]))
>
> As you can notice, I have put str before start_date[ii]) and end_date[ii].
>
> What do you t
Dear Peter, Deal all,
Trying different options, I manage this solution:
mask = (df['datatime'] > str(start_date[ii])) & (df['datatime'] <=
str(end_date[ii]))
As you can notice, I have put str before start_date[ii]) and end_date[ii].
What do you think?
Thanks
On Monday, 4 February 20
Diego Avesani wrote:
> this is the code:
While the example is fine now it runs without error over here, on rather old
versions of pandas (0.13.1) and numpy (1.8.2).
Therefore I'm out of the debugging cycle for now.
--
https://mail.python.org/mailman/listinfo/python-list
Dear Peter,
thanks a lot for your patience.
this is the code:
import pandas as pd
import numpy as np
from datetime import datetime
#input:
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','2015-01-0
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
> 20
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,
