Best way to use Python to make 2d XY scatter graphs? Will TKinter do it?
billspat at msu.edu
Mon Oct 27 18:51:32 CET 2003
rh4170056 at juno.com (rhmd) wrote in news:616fccba.0310200250.22d55351
> I need to create image files (eg bmp or jpeg) of xy scatter graphs
> (i.e., graphs in which markers denote individual points; the markers
> need to be small polygons of various sizes, shapes, colors, shadings,
> etc. and there are thousands on them on each graph). Have been using
> MS Excel, but its limitations are unbelievable (only whole number
> sizes, no way around a 56 color palette, only low quality jpeg files
> so that when I publish the graphs I have to print and scan them all to
> get a decent image, no more than 32K markers in a single series).
> From a programming point of view, Python is perfect to set up
> something like this, but MY QUESTION IS: Will TKinter do this? Or
> will it be necessary to learn OpenGL? Or is another Python compatible
> package best? Thanks for your help.
I would like to add a possible solution to those suggested. This may be
off-topic and I don't know the context of the question. I, too,
abandoned Excel as my graphing platform.
If you are automating research processes and not writing software for
distribution then I think the R environment (http://r-project.org) is
worth a look. I've used it for several research projects and created
graphs for publication. There are Python packages to call R from python,
although complete programs can be written in R, which to my newbie eyes
is very Python-like. The graphs can written to several formats (see
below) and can paste into your favorite word/presentation processor.
The added bonus is you get a wealth of statistical processes along with
plotting (although you didn't mention this requirement in your post).
There are several downsides: your program would require R to be installed
on the system; batching R on windows does not work (for me); there is a
learning curve; and parameters are a bit quirky (work like globals).
description from the R site:
R is a language and environment for statistical computing and graphics.
It is a GNU project which is similar to the S language and environment...
One of R's strengths is the ease with which well-designed publication-
quality plots can be produced, including mathematical symbols and
formulae where needed.
from the R help:
The following graphics devices are currently available:
* `postscript' Writes PostScript graphics commands to a file
* `pdf' Write PDF graphics commands to a file
* `pictex' Writes LaTeX/PicTeX graphics commands to a file
* `windows' The graphics driver for Windows (on screen, to
printer and to Windows metafile).
* `png' PNG bitmap device
* `jpeg' JPEG bitmap device
* `bmp' BMP bitmap device
* `xfig' Device for XFIG graphics file format
* `bitmap' bitmap pseudo-device via `GhostScript' (if
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