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Neal Becker wrote:
> Actually, though, I didn't want to plot 2 different sets of data as in that
> example, I want 1 set of data plotted with 2 different x-axis (different
> units). Any suggestion on modifying this example to accomplish this?
> 
> import numpy as np
> import matplotlib.pyplot as plt
> from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
> 
> fig = plt.figure(figsize=(10,8))
> host = SubplotHost(fig, 111)
> fig.add_subplot(host)
> parx = host.twiny()
> 
> parx.axis["top"].set_visible(False)
> offset = 0, -50
> new_axisline = parx.get_grid_helper().new_fixed_axis
> parx.axis["bottom"] = new_axisline(loc="bottom", axes=parx, offset=offset)
> parx.axis["bottom"].label.set_visible(True)
> 
> hplt, = host.plot(np.random.rand(100))
> p2, = parx.plot(np.linspace(0,20,100), np.random.rand(100)*5.0,
> color='green')
> 
> plt.show()
> 
OK, answer my own question. Just remove the line 'parx.plot(...'). I didn't 
realize that I'd get the second axis drawn without that plot call, but it works 
fine.

I have the HTML5 Canvas backend working on an Ubuntu machine using
the latest EPD distribution.
However, I am unable to get it to work through an ssh tunnel.
- I create a tunnel forwarding port 9000 on the Ubuntu host machine 
through a firewall machine to port 9000 on my local client.
- I run examples/subplot_demo.py in a separate ssh-tunneled terminal
- I open http://127.0.0.1:9000 in Google Chrome on the client.
I get the HTML 5 Canvas window, but no plot appears and it says 
'Disconnected'. Same thing happens if I open a browser in a Gnome 
session on the host. Running the example on the host in a Gnome 
session and viewing from a client does not work either.
But running the same example from a terminal on the host _and_ viewing it in a 
Gnome session on the host works.
When I run the example, it tries to open a terminal based browser like
lynx and w3m. I uninstalled these applications and now get nothing, but 
this may be an issue. On the host, it opens the window in Chrome automatically
 and starts the browser if necessary. Is there a way to stop this behavior?
Thanks,
Paul

Actually, though, I didn't want to plot 2 different sets of data as in that 
example, I want 1 set of data plotted with 2 different x-axis (different units).
Any suggestion on modifying this example to accomplish this?
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
fig = plt.figure(figsize=(10,8))
host = SubplotHost(fig, 111)
fig.add_subplot(host)
parx = host.twiny()
parx.axis["top"].set_visible(False)
offset = 0, -50
new_axisline = parx.get_grid_helper().new_fixed_axis
parx.axis["bottom"] = new_axisline(loc="bottom", axes=parx, offset=offset)
parx.axis["bottom"].label.set_visible(True)
hplt, = host.plot(np.random.rand(100))
p2, = parx.plot(np.linspace(0,20,100), np.random.rand(100)*5.0,
color='green')
plt.show()

Hi all,
SC is the largest conference focused on high-performance computing,
this year it will be held in Seattle:
http://sc11.supercomputing.org/
and as part of the conference, a Python-focused workshop is being
organized. The deadline for papers is coming up soon (Sept 19), so if
you are interested in participating there is still time to get your
submission ready! Papers up to 10 pages are welcome on any of the
following topics:
 Python-based scientific applications and libraries
 High performance computing
 Parallel Python-based programming languages
 Scientific visualization
 Scientific computing education
 Python performance and language issues
 Problem solving environments with Python
 Performance analysis tools for Python application
For full details, please see:
http://www.dlr.de/sc/desktopdefault.aspx/tabid-1183/1638_read-31733/

The master is here. JJ had showed me those multi axes tricks and he is back
again with the plenty of changes to the axes_grid toolkit.
The best thing to do is to make a new clone from the master repo and
experiment.
On Sun, Sep 11, 2011 at 1:37 PM, Neal Becker <ndb...@gm...> wrote:
> Jae-Joon Lee wrote:
>
> > On Sun, Sep 11, 2011 at 10:16 PM, Neal Becker <ndb...@gm...>
> wrote:
> >> Yes, that's very helpful. Just one thing. How would I get a bit more
> bottom
> >> margin on the main figure to leave more room for the extra axis?
> >>
> >> I'm using this as an example. I experimented with plt.subplots_adjust,
> which
> >> seems like it might do the right thing. Is this the 'best' approach?
> >> (I really don't know what all these methods do, just guessing)
> >
> > Yes, you need to fiddle with subplots_adjust command. The current
> > development branch of matplotlib (not yet released) has a new function
> > "tight_layout", which does this automatically for you.
> > Regards,
> >
> > -JJ
> Looking forward to that. Any idea of an ETA for a release?
>
>
>
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Gökhan