## [Matplotlib-users] How to do accumulation plots with matplotlib

 [Matplotlib-users] How to do accumulation plots with matplotlib From: nbv4 - 2009-09-05 00:55:03 ```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. ```

 [Matplotlib-users] How to do accumulation plots with matplotlib From: nbv4 - 2009-09-05 00:55:03 ```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. ```
 Re: [Matplotlib-users] How to do accumulation plots with matplotlib From: Jouni K. Seppänen - 2009-09-05 12:56:31 ```nbv4 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]: [] -- Jouni K. Seppänen http://www.iki.fi/jks ```
 Re: [Matplotlib-users] How to do accumulation plots with matplotlib From: nbv4 - 2009-09-06 02:12:17 ``` Jouni K. Seppänen wrote: > > nbv4 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]: [] > > -- > 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@... > 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. ```