It appears to be finding wadalab-gothic as the font, which is a
Japanese font. Now, *why* it is doing that is the million dollar question.
It should (by default) by loading the Bitstream Vera Sans font
(Vera.ttf) from
/usr/local/lib/python2.4/site-packages/matplotlib/mpl-data/fonts/ttf. I
On Monday 10 December 2007 8:21:03 am Michael Droettboom wrote:
It appears to be finding wadalab-gothic as the font, which is a
Japanese font. Now, *why* it is doing that is the million dollar question.
It should (by default) by loading the Bitstream Vera Sans font
(Vera.ttf) from
Thanks for the pointer. The matplotlib.widget.Cursor works much better
for displaying crosshairs. ( due to blitting? )
I still haven't found a tool yet for drawing a polygon. The
lasso_demo.py doesn't run on my system. Well, it runs, displays a
scatter of points, but I'm not sure what is it
If anyone faces a similar issue, there is a solution here.
http://scipy.org/Cookbook/Matplotlib/Interactive_Plotting
Essentially, we should also check for toolbar.mode
Thanks,
Venkat.
Venkat Ramanan wrote:
Hi,
I have written a simple image viewing tool with window/level controls
linked to
On Dec 10, 2007 11:53 AM, Venkat Ramanan [EMAIL PROTECTED] wrote:
If anyone faces a similar issue, there is a solution here.
http://scipy.org/Cookbook/Matplotlib/Interactive_Plotting
Essentially, we should also check for toolbar.mode
You may also want to look at the widget lock variable,
I deleted my /.matplotlib/fontManager.cache file and ran the script
again, and now everything is working fine.
Thank you for your help.
It appears to be finding wadalab-gothic as the font, which is a
Japanese font. Now, *why* it is doing that is the million dollar question.
It should (by
Hi,
I have recently come across Matplotlib and I am very impressed with its
capabilities. I am new to both Matplotlib and Python, although I have several
years experience with C++ and a few other languages *(including modelling with
MatLab).
I have successfully embedded Python in a C++
Hi,
since I have the need of multiple histograms on one axes to compare
different distributions and this feature was quite often requested
in the past on this list I have written a new method for the axes
class to implement this.
This method 'multihist' works essentially the same as the original
