Gökhan SEVER-2 wrote: > > Oh these busy chemical compound plots :) Are those results of gas > chromatography analysis? > > Something like below produces a nice fully plotted output here. Could you > give it a try? > > import matplotlib.pyplot as plt > plt.plot(range(100)) > locs, labels = plt.xticks(range(100), range(100)) > plt.setp(labels, rotation=90, fontsize=7) > plt.show() > > > -- > Gökhan >
Gokhan, Your suggestion works great. I guess the MaxNLocator approach I have been using will place __up__to__ N ticks but not necessarily N ticks? And yes, these chemical profiles are from GCMS and other devices/techniques. I added upper X axis tick labels so you know a given chemical species' name and number; I chose to only have one legend to keep the clutter down as much as possible; I position the upper X axis labels in or outside the plot depending on whether the plot title exists. Luckily, I don't imagine having to deal with more species than 105 any time soon. Thanks again! Here is the improved plot (sorry for the pink background, I am not sure why it is showing up that way): http://old.nabble.com/file/p27927991/PMF2BasecaseProfiles.jpeg ----- Josh Hemann Statistical Advisor http://www.vni.com/ Visual Numerics jhemann at vni dizzot com -- View this message in context: http://old.nabble.com/Is-there-a-maximum-number-of-x-tickmarks--tp27924845p27927991.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
