Small update: I tried the very same code with MPL 1.0.1 and Python 2.5.0 on Linux 64 and Python 2.5.4 on Win32 and it runs w/o throwing any exceptions there!
But: the behaviour is still not that what I expected. Still these issues are remaining: - the smallest magnitude (center magnitude in other words) is 0.1 and I'd like to display way smaller values - the smallest magnitude doesn't even change when zooming - the grid lines and ticks do not show as I'd expect (see my last message) when zooming That's why I'd rather stick to a linear scale, doing my own logarithmic conversion, limit my data at lowest value I need and just use an offset for the scale. -- View this message in context: http://old.nabble.com/Polar-plot---problem-with-negative-values-for-radius-tp30936638p30948265.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE: Pinpoint memory and threading errors before they happen. Find and fix more than 250 security defects in the development cycle. Locate bottlenecks in serial and parallel code that limit performance. http://p.sf.net/sfu/intel-dev2devfeb _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
