data container and performance about django-nvd3 HOT 6 OPEN

Actually I even investigated this, it will be interesting to share what you found. Maybe looking at what the folks from nvd3 recommend would be a good start.

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Alright, will share. Interestingly, Google charts does not have the same performance issue. But there are less functionalities (like toggling the time course curves from the legend).

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The Ramer-Douglas-Peucker algorithm works pretty well to simplify lines. However, I understand that a line chart with several line series must have the same 'x' axis values, am I correct? Or is there a way to display line charts with different 'x' series? If not, then I need to apply the rdp algorithm to each series, take all the reduced 'x' together and reconstruct the series.

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Thanks for the pointer, that sounds a very interesting algorithm.
It's possible to use different x axis for each line, I just pushed an example how to do that

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areski/python-nvd3@0c782e9

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Hi, many thanks, did not know it was possible, this simplifies the problem a lot. However, there seems to be a problem with nvd3 performance for multiple series. Flot, for instance, has absolutely no problem to display 6 overlays of 8 series of 1000 points on any major browser, with point coordinates display when hovering above the series courses. 1 serie with nvd3 makes FF and Chrome struggle, and IE crashes.
I understand that nvd3 is having a major rewrite (version 2) so this may be corrected. But I need to report the issue upstream.

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