I am using a workaround now. But that is a hackery solution.
Before plotting my data I convert it to dBs and limit it to the lowest value
I want to display. Then I plot it using a regular polar plot with a custom
formatting function that sets the tick labels with respect to the data
offset.
Since
On Thu, Feb 17, 2011 at 4:12 AM, Stephan Markus wrote:
>
> 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 issu
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 othe
Ben,
I should have mentioned that I already tried that. When I set the rscale to
'log' the plot crashes when zooming or mpl cannot even create it.
Maybe some example code will help:
from numpy import arange, sin, pi, cos, ones
from matplotlib.backends.backend_tkagg import Figure
On Wed, Feb 16, 2011 at 9:16 AM, Stephan Markus wrote:
>
> Hi,
>
> I am trying to display some complex values in a polar plot. Displaying
> linear magnitude vs. angle - of course - works without any issues. But I'd
> rather display the logarithmic magnitute vs. angle. Since the data for the
> rad
Hi,
I am trying to display some complex values in a polar plot. Displaying
linear magnitude vs. angle - of course - works without any issues. But I'd
rather display the logarithmic magnitute vs. angle. Since the data for the
radius gets negative then, it'll be wrapped around / rotated by 180deg b
