Quoting Felix Schueller <fel...@ui...>:
> Hi there,
>
> i got a question on how to best handle NaN values.
>
> I'm plotting 3 x-y curves into one plot (data comes from 3 files which
> are read and processed earlier in my code).
> Sometimes one of them has NaN-values at the y=0 point. If i just convert
> the NaN-values as everthing else:
>
> data_array.append(float(THENANVALUE))
>
> the data array contains the nan and my values just fine. However if i
> then proceed to g.plot(...), i get a
>
> line 0: Bad data on line 1
>
> error.
>
> What i would like to have, is a plot where the undefined lowest value is
> ignored and plotting starts at the first defined value.
>
> Is there a simple solution to this/ any suggestion?
You need to remove the NaN before plotting. This is also the behavior
I would want, not that things are plotted with undefined values
without me knowing it.
To obtain only the nonNan from a x,y plot:
z = N.asarray([[x,y] for x,y in zip(a,b) if not math.isnan(x) ])
then plot z[:,0] and z[:,1] instead of x,y
Probably there are nicer ways to do this filtering, a masked array perhaps.
Benny
>
> Thanks in advance for any answers! :-)
>
> Felix
>
>
>
>
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