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? Thanks, Luke -- “People call me a perfectionist, but I'm not. I'm a rightist. I do something until it's right, and then I move on to the next thing.” ― James Cameron ------------------------------------------------------------------------------ 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
