Re: [Matplotlib-users] Creating Dendrograms

2006-09-13 Thread Fernando Perez
On 9/12/06, John Hunter [EMAIL PROTECTED] wrote:

Minor correction

   license. Fernando Perez did this with ipython, which was released
   under the LGPL and then re-released under a BSD license to ease
   integration with scipy and other enthought products. The LGPL is
^^^
 matplotlib, scipy and...

Integration and free back-and-forth code sharing with you was one of
the main factors behind that decision.

And just to provide a datapoint confirming John's argument, ipython
was one of those cases where I chose LGPL out of pure ignorance and
incomplete understanding.

Regards,

f

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Re: [Matplotlib-users] Creating Dendrograms

2006-09-13 Thread R. Padraic Springuel
I chose the GPL because it was the open source license I was aware of 
and didn't realize that it would create problems with reusability of the 
code.  It is not my intention to restrict people from reusing the code. 
  Indeed, I'd much prefer that people did reuse the code.  Since that 
appears to mean switching to a BSD style license, I'll make that switch.
-- 

R. Padraic Springuel
Teaching Assistant
Department of Physics and Astronomy
University of Maine
Bennett 309
Office Hours: Wednesday 2-3pm

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Re: [Matplotlib-users] Creating Dendrograms

2006-09-13 Thread R. Padraic Springuel
 Have you thought about combining the dendrogram with a
 heatmap/colormap (e.g.
 http://www2.warwick.ac.uk/fac/sci/moac/currentstudents/peter_cock/python/heatmap/)?
 Could ClusterPlot be combined with pcolor() to do this?

To be honest, I haven't thought about doing anything like this.  While 
I'm using the Pycluster package to do my cluster analysis, I'm actually 
doing research in Physics Education, not genetics.  As a result, I've 
never even seen diagrams like the one shown in the above link before. 
Looking at it, however, I imagine that with the judicious use of 
subplots, ClusterPlot could create the dendrograms in those images. 
Once direction control is added to ClusterPlot, that is.

At this point I have thought about only two further extensions to 
ClusterPlot.  The first is the afore mentioned one: allowing control of 
the direction of the dendrogram.  Once that's implemented, I'd consider 
the code to be out of the beta stage.  The other extension would be a 
modification to the coordinates function so that the vertical 
coordinates of the dendrogram don't have to follow the Pycluster 
distances in the tree.  Pycluster doesn't support having anything other 
than a distance measure in that slot.  Now, while Pycluster does have 8 
different distance measures, I can imagine cases where one would prefer 
to spread the tree by a dissimilarity measure or some other metric. 
This modification should be simple enough to make, so it'll probably be 
included in the next update (which might come before full release).

Finally, concerning the license discussion, I've posted version 0.6 
which is released under the BSD-style license.  Version 0.5, with its 
GPL license has been removed from the download site.

http://www.umit.maine.edu/~r.springuel/000CCFE8-8018/
-- 

R. Padraic Springuel
Teaching Assistant
Department of Physics and Astronomy
University of Maine
Bennett 309
Office Hours: Wednesday 2-3pm

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Re: [Matplotlib-users] Creating Dendrograms

2006-09-12 Thread Michael Sorich
Hi,

Looks very interesting. Is there any chance that this will be
eventually included in MPL? Or at least have a license similar to MPL?

Have you thought about combining the dendrogram with a
heatmap/colormap (e.g.
http://www2.warwick.ac.uk/fac/sci/moac/currentstudents/peter_cock/python/heatmap/)?
Could ClusterPlot be combined with pcolor() to do this?

Mike

On 9/12/06, R. Padraic Springuel [EMAIL PROTECTED] wrote:
 Stéfan suggested that I include an example script to show people what
 the package could do.  I thought this was a good idea, so I wrote one
 and have uploaded a new version of the package with the example script.
   I've also added copyright and license information, for those that
 care.  The most recent version is 0.5 and is downloadable from the same
 site as before:

 http://www.umit.maine.edu/~r.springuel/000CCFE8-8018/
 --

 R. Padraic Springuel
 Teaching Assistant
 Department of Physics and Astronomy
 University of Maine
 Bennett 309
 Office Hours: By Appointment only during the Summer

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Re: [Matplotlib-users] Creating Dendrograms

2006-09-12 Thread John Hunter
 R == R Padraic Springuel [EMAIL PROTECTED] writes:

R Stéfan suggested that I include an example script to show
R people what the package could do.  I thought this was a good
R idea, so I wrote one and have uploaded a new version of the
R package with the example script.  I've also added copyright and
R license information, for those that care.  

Hi this looks very nice.  Are you sure you want to go with GPL?
pycluster and the C clustering license, as well as matplotlib, scipy,
and Numeric/numpy, are all based on BSD/PSF compatible licenses, and
so none of these projects can reuse your code if it is GPL.

Here is my licensing pitch on why I encourage people not to use the
GPL, written for another project but applicable here...

  I'll start by summarizing what many of you already know about open
  source licenses. I believe this discussion is broadly correct,
  though it is not a legal document and if you want legally precise
  statements you should reference the original licenses cited
  here. The Open-Source-Initiative is a clearing house for OS
  licenses, so you can read more there.

  The two dominant license variants in the wild are GPL-style and
  BSD-style. There are countless other licenses that place specific
  restrictions on code reuse, but the purpose of this document is to
  discuss the differences between the GPL and BSD variants,
  specifically in regards to my experience developing matplotlib and
  in my discussions with other developers about licensing issues.

  The best known and perhaps most widely used license is the GPL,
  which in addition to granting you full rights to the source code
  including redistribution, carries with it an extra obligation. If
  you use GPL code in your own code, or link with it, your product
  must be released under a GPL compatible license. I.e., you are
  required to give the source code to other people and give them the
  right to redistribute it as well. Many of the most famous and widely
  used open source projects are released under the GPL, including
  linux, gcc and emacs.

  The second major class are the BSD-style licenses (which includes
  MIT and the python PSF license). These basically allow you to do
  whatever you want with the code: ignore it, include it in your own
  open source project, include it in your proprietary product, sell
  it, whatever. python itself is released under a BSD compatible
  license, in the sense that, quoting from the PSF license page

  There is no GPL-like copyleft restriction. Distributing
  binary-only versions of Python, modified or not, is allowed. There
  is no requirement to release any of your source code. You can also
  write extension modules for Python and provide them only in binary
  form.

  Famous projects released under a BSD-style license in the permissive
  sense of the last paragraph are the BSD operating system, python and
  TeX.

  I believe the choice of license is an important one, and I advocate
  a BSD-style license. In my experience, the most important commodity
  an open source project needs to succeed is users. Of course, doing
  something useful is a prerequisite to getting users, but I also
  believe users are something of a prerequisite to doing something
  useful. It is very difficult to design in a vacuum, and users drive
  good software by suggesting features and finding bugs. If you
  satisfy the needs of some users, you will inadvertently end up
  satisfying the needs of a large class of users. And users become
  developers, especially if they have some skills and find a feature
  they need implemented, or if they have a thesis to write. Once you
  have a lot of users and a number of developers, a network effect
  kicks in, exponentially increasing your users and developers. In
  open source parlance, this is sometimes called competing for mind
  share.

  So I believe the number one (or at least number two) commodity an
  open source project can possess is mind share, which means you want
  as many damned users using your software as you can get. Even though
  you are giving it away for free, you have to market your software,
  promote it, and support it as if you were getting paid for it. Now,
  how does this relate to licensing, you are asking?

  Many software companies will not use GPL code in their own software,
  even those that are highly committed to open source development,
  such as enthought, out of legitimate concern that use of the GPL
  will infect their code base by its viral nature. In effect, they
  want to retain the right to release some proprietary code. And in my
  experience, companies make for some of the best developers, because
  they have the resources to get a job done, even a boring one, if
  they need it in their code. Two of the matplotlib backends (FLTK and
  WX) were contributed by private sector companies who are using
  matplotlib either internally or in a commercial product -- I doubt
  these companies would have been 

Re: [Matplotlib-users] Creating Dendrograms

2006-09-11 Thread R. Padraic Springuel
Stéfan suggested that I include an example script to show people what 
the package could do.  I thought this was a good idea, so I wrote one 
and have uploaded a new version of the package with the example script. 
  I've also added copyright and license information, for those that 
care.  The most recent version is 0.5 and is downloadable from the same 
site as before:

http://www.umit.maine.edu/~r.springuel/000CCFE8-8018/
-- 

R. Padraic Springuel
Teaching Assistant
Department of Physics and Astronomy
University of Maine
Bennett 309
Office Hours: By Appointment only during the Summer

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Re: [Matplotlib-users] Creating Dendrograms

2006-08-31 Thread Gary Ruben
Perhaps NetworkX https://networkx.lanl.gov/ will do what you want, 
depending on how much control you need over the node placement. There 
are a few more suggestions for general graph plotting solutions here:
https://networkx.lanl.gov/wiki/Drawing.
hth
Gary R.

R. Padraic Springuel wrote:
 Can Matplotlib create dendrograms?  As best I can tell, there isn't a 
 plotting function for doing so directly, but maybe one could make one by 
 combining a series of commands.  Has anyone done this?  Does anyone know 
 if it is possible, or if there is another package that would do the job 
 if it isn't?

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Re: [Matplotlib-users] Creating Dendrograms

2006-08-31 Thread Michael Sorich
I don't think that Matplotlib has such a plot, but I would also be
interested in using such a plot - for presenting hierarchical
clustering results.

Michael

On 8/31/06, R. Padraic Springuel [EMAIL PROTECTED] wrote:
 Can Matplotlib create dendrograms?  As best I can tell, there isn't a
 plotting function for doing so directly, but maybe one could make one by
 combining a series of commands.  Has anyone done this?  Does anyone know
 if it is possible, or if there is another package that would do the job
 if it isn't?
 --

 R. Padraic Springuel
 Teaching Assistant
 Department of Physics and Astronomy
 University of Maine
 Bennett 309
 Office Hours: By Appointment only during the Summer

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