I have a large array that looks like this: vals=[0,0,1,3,2,1,0,4,2,4,2...] dates = [datetime.date(...), datetime.date(...)...]
which then is transformed into a cumsum: acc_vals = np.cumsum(vals) and then that is sent to maplotlib to be graphed. The resultant graph looks like this: http://img171.imageshack.us/img171/8589/linetotal.png The blue line is the cumsum data, and the red line is the raw values (just for illustrative purposes). What I want is the red line to represent the rate of change for the previous month. That is to say at each point in the graph, the value on the red line represents the total number of flight time that has occurred over the previous 30 days. Is this something that matplotlib can handles on it's own? Or am I going to have to write my own number crunching method to get it working? -- View this message in context: http://www.nabble.com/rate-of-change-for-a-splice-of-data-tp25376306p25376306.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
