[Matplotlib-users] How to do accumulation plots with matplotlib
Hi, I am a new user to matplotlib. I have a huge list of values that look like this: [1,0,0,0,2,3,2,1,0,0,0,2,2,1,3,0,0,3...] each point basically represents the derivative of the line at that point, if that makes any sense. I want to take this data and display it in a linegraph as if it were this data: [1,1,1,1,3,5,7,8,8,8,10,12,13,16,16,16,19,...] ...so the line grows as the numbers get bigger. Is there a plot that takes data in the form of my first list, or is my only option to create a forloop and construct the second list manually and just use that? It seems the target audience for matplotlib is scientific people who know a lot about math and statistics, which I am not. A lot of the documentation just goes over my head. -- View this message in context: http://www.nabble.com/How-to-do-accumulation-plots-with-matplotlib-tp25304056p25304056.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
Re: [Matplotlib-users] How to do accumulation plots with matplotlib
nbv4 cp368...@ohiou.edu writes: [1,0,0,0,2,3,2,1,0,0,0,2,2,1,3,0,0,3...] [...] I want to take this data and display it in a linegraph as if it were this data: [1,1,1,1,3,5,7,8,8,8,10,12,13,16,16,16,19,...] You can use numpy.cumsum to transform your data. For example, in ipython -pylab: In [4]: x = [1,0,0,0,2,3,2,1,0,0,0,2,2,1,3,0,0,3] In [5]: cumsum(x) Out[5]: array([ 1, 1, 1, 1, 3, 6, 8, 9, 9, 9, 9, 11, 13, 14, 17, 17, 17, 20]) In [6]: plot(cumsum(x)) Out[6]: [matplotlib.lines.Line2D object at 0xa945070] -- Jouni K. Seppänen http://www.iki.fi/jks -- 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
Re: [Matplotlib-users] How to do accumulation plots with matplotlib
Jouni K. Seppänen wrote: nbv4 cp368...@ohiou.edu writes: [1,0,0,0,2,3,2,1,0,0,0,2,2,1,3,0,0,3...] [...] I want to take this data and display it in a linegraph as if it were this data: [1,1,1,1,3,5,7,8,8,8,10,12,13,16,16,16,19,...] You can use numpy.cumsum to transform your data. For example, in ipython -pylab: In [4]: x = [1,0,0,0,2,3,2,1,0,0,0,2,2,1,3,0,0,3] In [5]: cumsum(x) Out[5]: array([ 1, 1, 1, 1, 3, 6, 8, 9, 9, 9, 9, 11, 13, 14, 17, 17, 17, 20]) In [6]: plot(cumsum(x)) Out[6]: [matplotlib.lines.Line2D object at 0xa945070] -- Jouni K. Seppänen http://www.iki.fi/jks -- 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 Thats exactly it, thanks! -- View this message in context: http://www.nabble.com/How-to-do-accumulation-plots-with-matplotlib-tp25304056p25313944.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
