[OS X TeX] XY plots (probably OT)
hydrochlorix at gmx.net
Thu May 27 08:46:22 EDT 2004
Am 25.05.2004 um 19:12 schrieb Maarten Sneep:
> On 25 mei 2004, at 18:26, Thomas Schröder wrote:
>> So, these are some of the features I'd like:
>> - handling of big data files (10-12 columns, >10000 lines)
>> - support for 4 Y axes
>> - good output quality
>> - direct output of EPS and/or PDF
>> - decent support for user defined diagram types
>> - some basic math support (greek symbols, fractions, subscripts and
>> - support for Lucida Bright and maybe Latin Modern fonts
> Not free, good quality: Igor Pro. Demo available.
OK, this seems to be the one as several here suggested it.
> Can use many axes for both x and y. Can handle huge data-sets, all
> other requirements are fulfilled, AFAICS.
> You might need to tweak a bit to get Lucida Bright or the LM fonts (if
> you only have the pfb fonts).
> Link: http://www.wavemetrics.com
I'll have a look at it.
> GNUplot. Not very user-friendly, will probably work. I've never used
I was hoping someone might have :-(
> Metapost. Not user friendly, you will need to re-format the data-files
> (max 4096 lines at a time, two columns at once).
Well, I guess then it's not for me :-(
I guess I could have worked around the 4096 lines thing with some data
reduction macros, but only two columns at once isn't enough.
> Interfaces nicely with TeX, so axes and labels will be formatted
> beyond belief. You have it installed already.
I knew that :-)
> I use this all the time. Sample file can be found at
> http://www.nat.vu.nl/~sneep/tex/. In some ways this is easier than
> what you want (more than 2 axis requires some more thought, although
> the state indicators are special.
I like your demo, it looks really nice and professional. I also like
the integrated look of it.
> For the analysis of scientific data, I'd recommend Igor (and it does
> _really_ nice graphics too). The data-analysis alone is worth it over
Up until now I haven't had to do too much data analysis and what I had
to do I could do with Graphical Analysis.
Thanks for your comments.
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