From mboxrd@z Thu Jan 1 00:00:00 1970 From: Dov Grobgeld Subject: Re: org-mode and python pandas Date: Wed, 3 Jul 2013 12:15:18 +0300 Message-ID: References: <87bo6nkv0e.fsf@gmail.com> <87y59qdysz.fsf@Rainer.invalid> <87zju6jjo3.fsf@pank.eu> Mime-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Return-path: Received: from eggs.gnu.org ([2001:4830:134:3::10]:43627) by lists.gnu.org with esmtp (Exim 4.71) (envelope-from ) id 1UuJKR-0000wt-4w for emacs-orgmode@gnu.org; Wed, 03 Jul 2013 05:26:24 -0400 Received: from Debian-exim by eggs.gnu.org with spam-scanned (Exim 4.71) (envelope-from ) id 1UuJKO-00072a-4K for emacs-orgmode@gnu.org; Wed, 03 Jul 2013 05:26:23 -0400 Received: from mail-wi0-x234.google.com ([2a00:1450:400c:c05::234]:45395) by eggs.gnu.org with esmtp (Exim 4.71) (envelope-from ) id 1UuJ9j-0002sO-CC for emacs-orgmode@gnu.org; Wed, 03 Jul 2013 05:15:19 -0400 Received: by mail-wi0-f180.google.com with SMTP id c10so4982684wiw.13 for ; Wed, 03 Jul 2013 02:15:18 -0700 (PDT) In-Reply-To: <87zju6jjo3.fsf@pank.eu> List-Id: "General discussions about Org-mode." List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Errors-To: emacs-orgmode-bounces+geo-emacs-orgmode=m.gmane.org@gnu.org Sender: emacs-orgmode-bounces+geo-emacs-orgmode=m.gmane.org@gnu.org To: Rasmus Cc: emacs-orgmode Thanks for the answers, but there is still something missing in order to get it to work. Part of it seems to be connected to the python parsing. E.g. the following translation of Eric's sh example doesn't output correctly with python: #+BEGIN_SRC python :results output print """,A,B,C 0,0.628365,0.424279,0.619791 1,0.799666,0.527572,0.132928 2,0.837255,0.138906,0.408233 3,0.388080,0.146212,0.575346 """ #+END_SRC #+RESULTS: : ,A,B,C : 0,0.628365,0.424279,0.619791 : 1,0.799666,0.527572,0.132928 : 2,0.837255,0.138906,0.408233 : 3,0.388080,0.146212,0.575346 #+BEGIN_SRC python :results table return """,A,B,C 0,0.628365,0.424279,0.619791 1,0.799666,0.527572,0.132928 2,0.837255,0.138906,0.408233 3,0.388080,0.146212,0.575346 """ #+END_SRC #+RESULTS: | ,A,B,C\n\n0,0.628365,0.424279,0.619791\n\n1,0.799666,0.527572,0.132928\n\n2,0.837255,0.138906,0.408233\n\n3,0.388080,0.146212,0.575346 | It seems that the only way to get a table from python is by outputting a two dimensional python structure: #+BEGIN_SRC python return [[0,0.628365,0.424279,0.619791], [1,0.799666,0.527572,0.132928]] #+END_SRC #+RESULTS: | 0 | 0.628365 | 0.424279 | 0.619791 | | 1 | 0.799666 | 0.527572 | 0.132928 | This seems quite limiting.... Another related question is if there is any support for header tables? I.e. instead of this: | | A | B | C | | 0 | 0.827817 | 0.664009 | 0.089161 | | 1 | 0.170031 | 0.729214 | 0.110918 | | 2 | 0.575918 | 0.863924 | 0.757536 | | 3 | 0.682722 | 0.774445 | 0.992041 | I want this: | | A | B | C | |---+----------+----------+----------| | 0 | 0.827817 | 0.664009 | 0.089161 | | 1 | 0.170031 | 0.729214 | 0.110918 | | 2 | 0.575918 | 0.863924 | 0.757536 | | 3 | 0.682722 | 0.774445 | 0.992041 | I guess that if I start playing around with the python ob module, it should be possible to get this working? Regards, Dov On Mon, Jul 1, 2013 at 8:04 PM, Rasmus wrote: > Achim Gratz writes: > >>>> 2. Add to pandas the option of globally influencing the text >>>> formatting so that it outputs something more parsable by org-mode. >>> >>> This sounds promising, if pandas support csv output that will be >>> correctly parsed by Org-mode. >> >> The package already has CSV export, so one could use that. I don't know >> if you could echo the result directly to the output, all examples >> revolve around putting the CSV into a file. For Org, TSV output would >> be more natural. > > Something like: > > from pandas import DataFrame > from numpy.random import rand > from sys import stdout > df = DataFrame(rand(10,3), columns = list('abc')) > df > df.to_csv(stdout, sep="\t", header = True, cols=(1,2)) > > I was completely unable to get ob-python working this morning, so I > haven't tested it. I'm using python3, build in python mode and elpy. > > In any case, the csv route might be better, as Pandas doesn't print > the table if it's too big (try changing 10 to 1000 above). > > -- > Powered by magic pixies! > >