<div dir="ltr"><div style>I'm of mixed minds about traits UI because once you know it you can make great GUIs with it, but I've spent a lot of time troubleshooting people's python installations to get traits to work. That is, in general it can be tricky to get installed because of all the dependencies. Maybe this has improved recently with Enthought's Canopy (or other new python distros), but that's been my past experience. </div>
<div style><br></div><div style>More generally, the view in the astropy core package is that we don't want to put GUIs in the core because GUIs always carry lots of dependencies, which we don't want to be forced to deal with. But part of the whole reason for affiliated packages was to get around this, so we're happy to see GUI-based affiliated packages.</div>
<div style><br></div><div style><br></div><div style>As for Pandas, to be totally honest, I don't see a huge amount to be gained from adding a Pandas dependency Astropy. It's honestly not clear what it gives the astronomy community that numpy does not already have. The following quote from the Pandas web site has guided me to that conclusion: "<em style="margin:0px;padding:0px;color:rgb(0,0,0);font-family:Arial,sans-serif;font-size:medium;line-height:22.390625px;text-align:justify">pandas</em><span style="color:rgb(0,0,0);font-family:Arial,sans-serif;font-size:medium;line-height:22.390625px;text-align:justify"> helps fill this gap, enabling you to carry out your entire data analysis workflow in Python without having to switch to a more domain specific language like R."</span></div>
<div style><span style="color:rgb(0,0,0);font-family:Arial,sans-serif;font-size:medium;line-height:22.390625px;text-align:justify"><br></span></div><div style>I have been carrying out my entire data analysis workflow for some time now in python without using Pandas. It looks to me like Pandas is a tool that was written by and for statisticians who use R. While we can take lessons from this, it's not clear we get much out of it in an astronomy context. For example, how would it make astropy's NDData, Quantity, or Table better to use a Pandas DataFrame vs. a numpy array? Most of what we are doing is building astronomy-convenient interfaces, and I'm not sure what Pandas adds there, at the cost of a pretty heavy-weight dependency.</div>
<div style><br></div><div style>It could just be that I don't know enough about Pandas, though. So if someone who knows Pandas better can speak to this, I'm all ears.</div><div style> </div><div style><br></div>
</div><div class="gmail_extra"><br><br><div class="gmail_quote">On Tue, Jun 18, 2013 at 3:35 PM, Thøger Rivera-Thorsen <span dir="ltr"><<a href="mailto:trive@astro.su.se" target="_blank">trive@astro.su.se</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div text="#000000" bgcolor="#FFFFFF">
<div>Pandas is a part of the newly-defined
SciPy stack, after all, so that would be part of any
science-oriented distribution worth its salt. In fact, I think it
could be a good idea for astropy in general to use under the hood,
but again, could clash with the philosophy of the project and
possibly also maintainabillity.<br>
<br>
As for offering my code or just my experience, I'll have to square
it with my supervisor first, and I also think it depends on what
direction the project in question will take. I'm positive about
the idea (which is why I wrote in the first place), but supervisor
might think it is a better idea to actually get my paper in the
project wrapped up before sending the code out there. Will get
back about that one!<br>
<br>
/Emil<div><div class="h5"><br>
<br>
<br>
<br>
<br>
On 2013-06-18 20:53, Slavin, Jonathan wrote:<br>
</div></div></div>
<blockquote type="cite"><div><div class="h5"><font face="verdana,sans-serif">Hi Emil,</font>
<div><font face="verdana,sans-serif"><br>
</font></div>
<div><font face="verdana,sans-serif">That looks very nice! I
don't see Pandas as a big issue in terms of dependencies. I
don't know that much about traits, etc. My thought about the
gui was just based on my experience with matplotlib, and the
fact that it is widely used -- though I would agree that too
many dependencies can be a deterrent to people using
something. Are you offering your code as a starting point for
the project? It strikes me that many have gotten some sort of
fitting package to a point of personal usability but no one
has the time/interest/motivation to make a more generally
usable package.</font></div>
<div><font face="verdana,sans-serif"><br>
</font></div>
<div><font face="verdana,sans-serif">Jon</font></div>
<div><font face="verdana,sans-serif"><br>
</font>
<div class="gmail_quote">On Tue, Jun 18, 2013 at 2:34 PM, <span dir="ltr"><<a href="mailto:astropy-request@scipy.org" target="_blank">astropy-request@scipy.org</a>></span>
wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div style="overflow:hidden">Date: <span><span>Tue, 18 Jun
2013 20:39:55</span></span> +0200<br>
From: Th?ger Rivera-Thorsen <<a href="mailto:thoger.emil@gmail.com" target="_blank">thoger.emil@gmail.com</a>><br>
Subject: Re: [AstroPy] ESA Summer of Code in Space 2013<br>
To: <a href="mailto:astropy@scipy.org" target="_blank">astropy@scipy.org</a><br>
Message-ID: <<a href="mailto:51C0A97B.8090703@gmail.com" target="_blank">51C0A97B.8090703@gmail.com</a>><br>
Content-Type: text/plain; charset="iso-8859-1"<br>
<br>
I have been working on a fitting GUI for a while, although
it is made<br>
with a specific task in mind.<br>
However, it is not based on Matplotlib but on
Traits/Traitsui/Chaco and<br>
Pandas. It is made for a specific projhect I'm working and
as such not<br>
yet usable for more general cases, but it could be a
starting point, if<br>
the dependencies don't conflict with astropy politics.<br>
<br>
Especially, I am happy about the choice of Pandas for
managing a quite<br>
complex data structure (the fitted and/or guessed values
of an arbitrary<br>
number of transitions for an arbitrary number of rows or
collapsed rows<br>
of a spatially resolved spectrum) of a), but also with the
Traits-based<br>
interactive interface to build complex line profiles from
single<br>
gaussians, good for fitting-by-eye and giving good initial
guesses for<br>
fitting of complex line profiles. It hooks directly up to
a wrapper I've<br>
made for lmfit, but given the modularity, it should be
relatively easy<br>
to change to other backends.<br>
<br>
It's still a work-in-progress, but there are some
screenshots here:<br>
<a href="http://flic.kr/s/aHsjGaEMGg" target="_blank">http://flic.kr/s/aHsjGaEMGg</a>
.<br>
I know the choice and number of dependencies may be
prohibitive but it<br>
saved a lot of work on the GUI, and Pandas means the
difference between<br>
sanity and madness when it comes to keeping track of so
many parameters.<br>
<br>
Cheers,<br>
Emil<br>
</div>
</blockquote>
</div>
<br>
<br>
<br clear="all">
<div>
<div dir="ltr">________________________________________________________<br>
Jonathan D. Slavin Harvard-Smithsonian CfA<br>
<a href="mailto:jslavin@cfa.harvard.edu" target="_blank">jslavin@cfa.harvard.edu</a>
60 Garden Street, MS 83<br>
phone: <a href="tel:%28617%29%20496-7981" value="+16174967981" target="_blank">(617) 496-7981</a> Cambridge, MA 02138-1516<br>
fax: <a href="tel:%28617%29%20496-7577" value="+16174967577" target="_blank">(617) 496-7577</a> USA<br>
________________________________________________________<br>
<br>
</div>
</div>
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