On Fri, Jun 10, 2011 at 09:00:28AM -0400, Scott Lasley wrote: > > One way would be to use a matplotlib.ticker.FuncFormatter > > import matplotlib.pyplot as plt > import matplotlib.ticker > > def HMSFormatter(value, loc): > h = value // 3600 > m = (value - h * 3600) // 60 > s = value % 60 > return "%02d:%02d:%02d" % (h,m,s) > > fig = plt.figure() > sp = fig.add_subplot(111) > xaxis = sp.get_xaxis() > xaxis.set_major_formatter(matplotlib.ticker.FuncFormatter(HMSFormatter)) > seconds = range(12341,12641,30) > data = range(10) > sp.plot(seconds, data) > fig.canvas.draw() fig.show() needed here.
Ah ok, great, many thanks. In the case the x is already HH:MM:SS that's a whole other story I guess? anyway, cheers marco -- (o_ It rocks: LINUX + Command-Line-Interface //\ GPG: 0x59D90F4D V_/_ http://www.calmar.ws ------------------------------------------------------------------------------ EditLive Enterprise is the world's most technically advanced content authoring tool. Experience the power of Track Changes, Inline Image Editing and ensure content is compliant with Accessibility Checking. http://p.sf.net/sfu/ephox-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
