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.
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
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
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
That solution might be fine for static plots, but I my case I prefer my
solution.
My plot is quite interactive so using your solution causes many problems
with my code.
--
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Right now I use a customized FigureCanvasTkAgg and overwrite the draw() and
resize() methods to reset the z-order of the axes before drawing / resizing
the figure and to restore the desired z-order afterwards. This works quite
well but it would be nice to have the picking work like in version
Hello!
I am also using two axes in a plot and want to be able to pick the lines of
both axes.
So far I used MPL 0.99.3 and a button on my interface to change the z-order
of the axes in order to be able to pick lines of the active axes and to
see the correct x/y data in the navigation toolbar.
Calling the garbage collector (gc.collect()) also makes no difference.
Even deleting all references manually and dropping the toolbar code
doesn't do the trick.
Am 09.02.2010 16:19, schrieb Stephan Markus:
I already had my destroy() method look like this:
def destroy(self
I already had my destroy() method look like this:
def destroy(self):
self.f.clf()
Tix.Frame.destroy(self)
self.toolbar.destroy()
self.canvas._tkcanvas.destroy()
But it makes no difference.
Stephan
Am 08.02.2010 17:15, schrieb Michael Droettboom:
Have you
Hello!
I'm writing an application that will show different plots on it's GUI. In
order to switch between the different plot types I'd like to destroy the
first plot and to create a new afterwards. I stumbled into a memory leak
since I don't know how to close matplotlib figures the clean way.
I
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