Hi all,
while I was using matplotlib mostly in interactive mode, the thickness
of lines displayed was OK for me, by now I want to generate a plot to
use on slides for beamer, and the thickness of all lines is totally
not sufficient, especially when using transparent figure/axis
background.
I know
Pavlo Shchelokovskyy wrote:
is there is a consistent
way to scale at once thickness of everything drawn on figure, i.e.
axis, plots, fonts?..
I think what you want is to set a dpi that works for you:
http://www.scipy.org/Cookbook/Matplotlib/AdjustingImageSize
-Chris
--
Christopher
I have a question, how to control matplotlib from another application.
Let me explain. We want to monitor some sensor data. The monitoring application
already offers a toolbar to choose the view for several embedded windows. For
example, buttons like Reset view,Back/Forward, Pan, Zoom and many
On Tue, Nov 17, 2009 at 1:51 PM, Peter McGregor
petermcgrego...@yahoo.com wrote:
I have a question, how to control matplotlib from another application.
Let me explain. We want to monitor some sensor data. The monitoring
application already offers a toolbar to choose the view for several
Thanks for your reply, but:
See the embedding_in_wx examples at
http://matplotlib.sourceforge.net/examples/user_interfaces/index.html.
The problem with those examples is, when I comment the following line (for
example in
Peter McGregor wrote:
The problem with those examples is, when I comment the following line (for
example in
http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_wx2.html):
self.add_toolbar() # comment this out for no toolbar
then I have no possibility to make
Marius Jan Klein mjk...@ny... writes:
I want to edit the metadata of pdf- or png-files when creating one of
these files. I do not want to use for example Pypdf because then
Python must read the file first before it can be edited.
Concerning pdf files, there is no current support for that,
On Tue, Nov 17, 2009 at 4:04 PM, Christopher Barker
chris.bar...@noaa.gov wrote:
Peter McGregor wrote:
The problem with those examples is, when I comment the following line (for
example in
http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_wx2.html):
In gnuplot, I can do the following:
set format x %.0s %cHz
...and this will set the x-axis labels (on a semilogx style plot) to
be 10 Hz, 100 Hz, 1 kHz, 10 kHz, etc.
Is there an easy way to do this in matplotlib? I spent a while in the
matplotlib.ticker docs, but couldn't find anything.
