{"items": [{"author": "Alex", "source_link": "https://plus.google.com/100936518160252317727", "anchor": "gp-1318432102497", "service": "gp", "text": "Ploticus (\nhttp://ploticus.sourceforge.net/doc/welcome.html\n) is a deliciously lightweight plotting tool, much simpler than gnuplot. It can read plot data from stdin. You could imagine writing a very simple plot script, or a few for different uses, and just doing this anywhere: gen_data | pl -png \nhttp://simple.pl", "timestamp": 1318432102}, {"author": "Dustin", "source_link": "https://www.facebook.com/jefftk/posts/245614018822028?comment_id=245624412154322", "anchor": "fb-245624412154322", "service": "fb", "text": "If you find/write it, let me know.", "timestamp": "1318432292"}, {"author": "Justin", "source_link": "https://plus.google.com/110278783875182278058", "anchor": "gp-1318432307836", "service": "gp", "text": "Perl script + Google Charts API?", "timestamp": 1318432307}, {"author": "Mac", "source_link": "https://www.facebook.com/jefftk/posts/245614018822028?comment_id=245631765486920", "anchor": "fb-245631765486920", "service": "fb", "text": "Um...excuse me...Excel? (And I can here the guffawing from here.)", "timestamp": "1318433485"}, {"author": "Jeff Kaufman", "source_link": "https://www.facebook.com/jefftk/posts/245614018822028?comment_id=245653542151409", "anchor": "fb-245653542151409", "service": "fb", "text": "@Walker: if I were doing most of my analysis in excel (or matlab/octave) then the built in graphing commands would be great. As part of a primarily command line workflow, though, excel/oocalc isn't really suitable.", "timestamp": "1318436922"}, {"author": "George", "source_link": "https://www.facebook.com/jefftk/posts/245614018822028?comment_id=245667202150043", "anchor": "fb-245667202150043", "service": "fb", "text": "Just write an 8 line python script. Modules you will need. Numpy and matplotlib. So you might as well install all of pylab. But then you can write it in a handful of lines. Just use the fileinput module to grab the data and stick it in two 1d numpy arrays then call a plot command.", "timestamp": "1318438926"}, {"author": "George", "source_link": "https://www.facebook.com/jefftk/posts/245614018822028?comment_id=245667658816664", "anchor": "fb-245667658816664", "service": "fb", "text": "If you use a modern version of a popular linux distro, your package manager should have all the python stuff you will want: matplotlib, numpy, scipy, ipython", "timestamp": "1318438991"}, {"author": "Adam Yie", "source_link": "https://plus.google.com/114873051319510815414", "anchor": "gp-1318439805159", "service": "gp", "text": "$ emit_data | gnuplot -persist -e \"plot '-'\"\n
\n
\n(it might need a little tweaking if you're using funny whitespace).\n
\n
\nOffhand, why is \"learn to use some basic gnuplot/R/octave/whatever functionality\" not an acceptable solution? Especially since you're considering using gnuplot as a backend!", "timestamp": 1318439805}, {"author": "Jeff Kaufman", "source_link": "https://plus.google.com/103013777355236494008", "anchor": "gp-1318441191042", "service": "gp", "text": "@Adam Yie\n Thanks! That appears to do exactly what I want. Now I can make myself an alias for that.\n
\n
\n\"learn to use some basic [plotting tool] functionality\" is definitely an option. The problem is that I learn enough of gnuplot to make it do what I want, but then I forget about it before using it again. So now I can just make an alias, call it 'plot', and be happy:\n
\n
\nalias plot='gnuplot -persist -e \"plot '\\'-\\''\"'\n
\n
\n(Those quoting rules are annoying)", "timestamp": 1318441191}, {"author": "Jeff Kaufman", "source_link": "https://www.facebook.com/jefftk/posts/245614018822028?comment_id=245706515479445", "anchor": "fb-245706515479445", "service": "fb", "text": "@George: adam yie showed me \"emit_data | gnuplot -persist -e \"plot '-'\", which does what I want.", "timestamp": "1318444298"}, {"author": "Matt", "source_link": "https://plus.google.com/114152106955141570880", "anchor": "gp-1318450115944", "service": "gp", "text": "I highly recomend python with ipython, matplotlib, and scipy. I keep a bunch of utilities around for making my life easier with it.\n
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\nhttps://bitbucket.org/fowles/python-plotting-scripts", "timestamp": 1318450115}]}