I would add that this line of code is highly inefficient since a new array of increasing size is created at each update: xdata = np.array(data, dtype='float64')
I would allocate a large array at initialization, and if required increase its size using numpy.ndarray.resize with a strategy avoiding to do it too frequently. Marc -- You received this message because you are subscribed to the Google Groups "pyqtgraph" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/pyqtgraph/8689f39f-b9d5-490e-947d-e7476a96cf25%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
