Dear all, I have some large data sets that I need to evaluate graphically. I find the graph navigation tools (left-click and drag to pan, right-click and drag to zoom) in matplotlib absolutely superb and I'd like to be able to better use them with the large data sets.
At the moment, I'm achieving this by plotting subsets of the data to browse and then when I've completed the assessment, plotting the next subset of data. This is fairly laborious... What I'd really like to do is have a matplotlib plot figure appear on the screen and as I browse it would pass the limits to some callback function which would provide the data to plot within those limits. The callback function could then manage the memory a bit better and only read a subset of the data out of the file at any one time. Ideally, the figure would hold the data it had while you browse and (maybe) when you release the mouse button it would get the new data. The data might not look perfect when you zoom in, but it would quickly refresh and therefore improve. The callback function could provide a bit of extra data either side of the visible area on the screen to make panning work. Is this a mammoth task involving writing a rather complex application that reimplements a lot of the matplotlib plotting stuff, or is it something that can be done relatively easily with the API? Thanks in advance, Al ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2dcopy1 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
