When using unitized data any call to 'set_xlim' or 'set_ylim' will reset any user specified labels or tickers for a given axis and replace it with the values specified via the unitized data 'axisinfo'
See the following for an example: ########################################### from basic_units import cm, inch from pylab import figure, show import numpy cms = cm *numpy.arange(0, 10, 2) fig = figure() ax1 = fig.add_subplot(2,2,1) ax1.plot(cms, cms) ax2 = fig.add_subplot(2,2,2) ax2.plot(cms, cms, xunits=cm, yunits=inch) ax3 = fig.add_subplot(2,2,3) ax3.plot(cms, cms, xunits=inch, yunits=cm) ax3.set_xlabel( "My Label" ) ax3.set_xlim(3, 6) # scalars are interpreted in current units # Since we call set_xlim with unitized data, the label will be reset. ax4 = fig.add_subplot(2,2,4) ax4.plot(cms, cms, xunits=inch, yunits=inch) ax4.set_xlabel( "My Label" ) ax4.set_xlim(3*cm, 6*cm) # cm are converted to inches show() ########################################### --James Evans ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
