mask and proper index
Diego Avesani
diego.avesani at gmail.com
Mon Feb 4 04:17:52 EST 2019
Dear all, Dear Peter,
thanks for you suggestions. Next time, I will try to set-up a proper example in order to post it and explain better my problem.
You understood perfectly what was my problem. Thanks a lot, indeed it seems to work.
If I can ask, due to the fact that I am new to thins kind of forum.
In this moment, I have another problem related to the data I am working on. Should I write another post?
Should I do something else related to this post?
Thanks a lot again,
you are my lifesaver
On Sunday, 3 February 2019 16:56:44 UTC+1, Diego Avesani wrote:
> Dear all,
>
> I am trying to apply a mask to my dataframe:
>
> mask = (df['datatime'] > start_date) & (df['datatime'] <= end_date)
> df = df.loc[mask]
>
>
> It seems to work pretty well.
>
> After that I crate the cumulative of its element as:
>
>
> PP_cumPP = np.cumsum(df[PP_station])
>
>
> However, I am not able to compute PP_cumPP last element. Indeed, when I do
>
> len(PP_cumPP)
>
> I get
>
> 8783
>
> and when I try to do:
>
> PP_cumPP[len(PP_cumPP)-1]
>
> I get an error.
>
>
> What I am doing wrong?
>
> Thanks a lot for any kind of help
>
> Diedro
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