First you should look at the axes() command with its arguments to
control the boundaries of the plot area inside the figure. I always use
this to maximize the use of the figure space. I'm not sure, though,
whether this works with the kind of plot you want. Check it out. The
other thing that
Thank you Ken,
I ended up doing more or less as you suggested but it turns out that
with the new pick API is actually much easier:
wxmpl.EVT_POINT(self, self.GetId(), self.onPoint)
self.mpl_connect('pick_event', self.onPick)
def onPoint(self,event):
'''
Called by the EV
On 10/17/07, Charles Seaton <[EMAIL PROTECTED]> wrote:
> Jeremy,
>
> I ran across the answer to this last week while searching the list for
> info on datestr2num (both subjects happened to come up in the same
> exchange).
>
> http://www.nabble.com/First-impression-from-a-new-user-tf1716894.html#a46
If one creates a 1V RMS sine wave, e.g. with a peak value of 1.414 or
peak-peak of 2.83, then computes psd, the resulting amplitude is around
24 dB, yet classic theory dictates the answer ought to be 20 log(1) = 0
dB.
This offset seems consistent across various frequencies/sample
rates/amplitud
Jeremy,
I ran across the answer to this last week while searching the list for
info on datestr2num (both subjects happened to come up in the same
exchange).
http://www.nabble.com/First-impression-from-a-new-user-tf1716894.html#a4662446
plot(x, y, linestyle='*steps*')
Charles Seaton
Jeremy Co
I am a recent switcher to matplotlib from gnuplot so please forgive me
if I post often.
I am currently looking to see if there is a similar matplotlib
plotting style like gnuplots "histeps". An example is:
http://gnuplot.sourceforge.net/demo_4.2/random.4.png
As I searched through the email list
Hello,
When I create a graph, margin is too wide. How can I reduce this?
There is an example with this mail.
Thanks.
--
Romain Bignon - http://vaginus.org
http://www.inl.fr
<>-
This SF.net email is sponsored by: Splunk In
If you build from source, you should only need libpng and libfreetype2, in
addition to Python and its headers. Agg is included in matplotlib's source
distribution -- if you have a version of Agg installed elsewhere it won't be
used. (The SVN trunk also requires Numpy).
The ports spec is pro
Hello matplotlib users!
I'm following a plotting turorial for the Pylons web framework[1] which
uses matplotlib (Agg backend). I tried installing matplotlib from the
ports collection on my FreeBSD web server, but it wants to install lots
of X11 related stuff. I don't want that, so I'm wondering if
