On Jan 27, 2012, at 9:11 AM, Fabien Lafont wrote:
> Ive tried:
>
> for i in range(0,NbPts):
> if column1[i] == nan:
> column1[i].remove(nan)
> column2[i].remove(nan)
>
> to remove these points but it doesn't work
>
you are close, I think what you want is:
# assuming column1 and 2 are numpy arrays
import numpy as np
for i in range(0,NbPts):
if np.isnan(column1[i]):
column1=np.remove(column1,i,0)
column1=np.remove(column2,i,0)
>
> 2012/1/27 Benjamin Root <[email protected]>:
>> On Fri, Jan 27, 2012 at 9:52 AM, Fabien Lafont <[email protected]>
>> wrote:
>>>
>>> Sorry, It's an awkward manipulation. I finish the mail
>>>
>>> 2012/1/27 Fabien Lafont <[email protected]>:
>>>> I want to plot something like:
>>>>
>>>>
>>>> X(time) Ypoints
>>>> 0 8
>>>> 1
>>>> 2 7
>>>> 3 6
>>>> 4 4
>>>> 5
>>>> 6
>>>> 7 7
>>>> 8 2
>>>> 9 10
>>>
>>> In fact I've recorded some live datas and when I use genfromtxt() the
>>> blank parts are "translated" as 'nan' and I can't for example fit it
>>> with polynomials.
>>>
>>
>> If you plot the data, it should skip data points that are NaNs and you
>> should see a break in the line IIRC. Is that not what you want?
>>
>> Ben Root
>>
>
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