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Freddie Witherden a écrit :
> Hi all,
>
> For those that are interested I have finally (now that my first batch 
> of exams are finished) set-up a blog so that you can track the 
> progress of the project.
>
> My blog can be found here: http://gsoc-mathtex.blogspot.com/ (no marks 
> for originality ;). I intend to update it on a semi-regular basis, 
> time permitting.
>
> Regards, Freddie.
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That's very cool. I'm very impatient to test it...
Christophe.

hi all,
is there a way to plot the results of hierarchical clustering as a
dendrogram on top and to the sides of a heatmap matrix? for example, like
this figure:
http://www.egms.de/figures/meetings/gmds2006/06gmds075.f1.png
any examples of how to do this in matplotlib would be greatly appreciated.
thank you.

ax.twin returns a ParasiteAxesAuxTrans instance which is derived from
the mpl's original Axes, but only drawing-related methods are meant to
be meaningful. For example, this axes is never meant to be added to
the figure and the draw method of this axes is never meant to be
called. I haven't looked at it thoroughly but I guess the reason the
callbacks are not processed is because this axes is not added to the
figure and no set_xlim (or set_ylim) is explicitly called.
However, consider it as a feature not a bug.
The xlim of the parasite axes is mean to be "only" changed when the
xlim of the host axes changes. And the set_xlim (and set_ylim) method
should not be called directly on the parasite axes. Furthermore, I
don't see any reason to connect xlim_change event to the parasite
axes. If there is anything you want to do when the xlim of the
parasite axes change, just connect it to the host axes.
If there is a case that xlim_change event should be directly connected
to the parasite axes (instead of the host axes), I'll consider it as a
bug and try to fix it.
Regards,
-JJ
On Sat, May 2, 2009 at 2:03 PM, Thomas Robitaille
<tho...@gm...> wrote:
>
> There was a typo in the script, the callbacks should be
>
> ax.name = "first axis"
> ax.callbacks.connect('xlim_changed',check_callback)
> ax.callbacks.connect('ylim_changed',check_callback)
>
> ax2 = ax.twin()
> ax2.name = "second axis"
> ax2.callbacks.connect('xlim_changed',check_callback)
> ax2.callbacks.connect('ylim_changed',check_callback)
>
> but the problem remains: check_callback is never called for ax2.
>
> Tom
>
> --
> View this message in context: http://www.nabble.com/Enforcing-common-view-limits-tp23334325p23348806.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
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Hi everybody,
For those of you that are using the gtk, gtkcairo, or gtkagg backends:
Today pygtk version 2.15.0 became available, which is the first pygtk that can be used interactively from both python and ipython. If you're using ipython, be sure to wait for release 0.10.0 of ipython before upgrading to pygtk 2.15.0; older versions of ipython may not work correctly. If you're using regular python, you can install pygtk 2.15.0, set interactive to True in matplotlibrc, and you should be all set. Unfortunately, this won't work with IDLE; this is because of the lack of event loop support in Python itself.
Enjoy!
--Michiel.
 

Matthias Michler wrote:
> Hello Eric, Hello list,
> 
> a year ago I also encountered the problem of "one file - one figure" of the 
> plotfile function. I would like to propose an addional functionality of using 
> one figure and several files in plotfile, because sometimes I don't want to 
> read data myself. I added a patch including the following changes:
> - added a new keywordargument to plotfile 'use_cf': If use_cf isTrue plotfile 
> uses fig = gcf() instead of fig = figure() to suppress opening of a new 
> figure and therewith allowing to use the user preferred figure
> - added a further new keyword argument 'names' to set x/ylabels in the case 
> there are no names in the csv-file
> 
> Furthermore I attached the modified plotfile_demo.py 
> (examples/pylab_examples/plotfile_demo.py) and some new data 
> (examples/data/data_x_x2_x3.csv).
> 
> Could this be useful?
> 
> Thanks in advance for any comments.
Matthias,
I incorporated a slight modification of your changes (newfig=False 
instead of use_cf=True) together with changes I made to directly support 
what Joseph asked about. The result is in r7078.
I hesitated to make even these changes, though, because I think we 
should avoid trying to make plotfile into a do-all tool. It should be 
kept as something that may be handy for quick and dirty plotting in some 
situations; but when a user needs something beyond that, the better 
approach is for the user to simply use the pyplot or matplotlib API to 
achieve the desired result directly.
Eric
> 
> best regards
> Matthias
> 
> On Wednesday 29 April 2009 09:20:17 Eric Firing wrote:
>> Joseph Smidt wrote:
>>> Okay, I am another gnuplot user trying to migrate over to matplotlib.
>>> I like what I see, but there are a couple things that are very easy to
>>> do in Gnuplot that I can't figure out how to do with matplotlib.
>>>
>>> I have a file with 3 columns of data called data.txt that looks like:
>>>
>>> 0.0000 1.0000 1.0
>>> 0.0634 1.0655 1.1353
>>> 0.1269 1.1353 1.28899916094
>>> 0.1903 1.2097 1.46345358199
>>> 0.2538 1.2889 1.6615188369
>>> 0.3173 1.3734 1.88639043926
>>> ...
>>>
>>> I can plot this data, 2 versus 1 and 3 versus 1, very easily on the
>>> same plot, with a legend, with log y values, and only for the xrange
>>> between 2 and 3 with gnuplot:
>>>
>>> set log y
>>> set xrange[2:3]
>>> plot 'data.txt' u 1:2 w l t 'apples', 'data.txt' u 1:3 w l t 'oranges'
>>>
>>> Now, how do I do that same thing with matplotlob? Ie:
>>>
>>> 1. Both graphs overlayed on the same plot.
>>> 2. Semilogy. (log y values),
>>> 3. Only ploy for x in the range 2-3.
>>> 4. Legend for the two graphs on same plot.
>> Something like this:
>>
>> import numpy as np
>> import matplotlib.pyplot as plt
>>
>> x, apples, oranges = np.loadtxt('data.txt', unpack=True)
>> plt.semilogy(x, apples, label='apples')
>> plt.semilogy(x, oranges, label='oranges')
>> plt.legend()
>> plt.gca().set_xlim(2, 3)
>> plt.show()
>>
>> There are many possible variations and styles. The basic point is to
>> separate reading in the data from plotting it. Plotfile won't do what
>> you want because it is designed to make separate subplots instead of
>> plotting multiple lines on a single axes. Maybe doing the latter would
>> be at least as useful, if not more, and could be enabled as an option
>> with one more kwarg.
>>
>> Eric
>>
>>> I have spent time looking through the documentation but I can't find
>>> anyway to do this is any straightforward way. plotfile() looks
>>> promising, but I can't seem to make it do the above. Thanks in
>>> advance.
>>>
>>> Joseph Smidt
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