On 12/5/12 8:36 PM, Dale Lukas Peterson wrote: > I have a time series of 32-bit unsigned integers in the form of a > numpy array with dtype=numpy.uint32. The bits of each integer in > array correspond to various boolean states collected during an > experiment. I would like to make a plot this data in the following > way: > 1) time on the horizontal axis (I have a time array of the same > length as my integer array) > 2) bit position N on the vertical axis (0-1 corresponds to bit 0, 1-2 > corresponds to bit 1, etc.) > 3) a solid filled rectangle from (t1, N) to (t1+dt, N+1) whenever the > bit is high. > > I been able to use the bitwise_and() and right_shift() on the data to > get individual arrays which are populated with only 0's and1's. > > What I'm not clear on is now how to get the solid filled rectangle for > areas where the bit is high and nothing when the bit is low. > > Is there already this functionality somewhere in matplotlib? I looked > in the gallery and couldn't find anything quite like what I'm looking > for, though I may have simply missed it. If there isn't, I'm sure > there is a way to do it, does anybody have any recommendations as to > the path of least resistance?
Just FYI, this reminds me a lot of the recent EventRaster discussion: http://thread.gmane.org/gmane.comp.python.matplotlib.devel/11458/focus=11655 Thanks, Jason ------------------------------------------------------------------------------ LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial Remotely access PCs and mobile devices and provide instant support Improve your efficiency, and focus on delivering more value-add services Discover what IT Professionals Know. Rescue delivers http://p.sf.net/sfu/logmein_12329d2d _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
