On Monday, 30 June 2014 12:42:58 UTC+2, Luke Campagnola wrote:
>
> On Mon, Jun 30, 2014 at 1:39 AM, Federico BolaƱos <[email protected]>
>  wrote: 
>
>> Problem is... that sometimes it samples more times in one run and thus 
>> there are left over points from the last sweep. Also, the fact that I have 
>> to initialize the numpy array with 2000 zeroes and that causes a line to 
>> show up joining the point (0, 0) with the latest point...
>>
>  

You just need to keep track of which samples in the buffer are valid and 
> avoid plotting invalid samples.
>

Hello everyone,

I stumbled across this old thread while trying to solve the problem of 
plotting a time series with missing/invalid data with pyqtgraph.

My current solution involves invalid data indicators and creation of a new 
CurveItem for each bit of consecutive valid data, but the implementation is 
rather complex.

@Luke Is there a way within pyqtgraph to plot one single CurveItem with 
missing data (e.g. np.nan values) and have the curve _not_ connect the two 
valid points, like described by Frederico?

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