File: TODO.txt

package info (click to toggle)
python-gnuplot 1.8-8
  • links: PTS, VCS
  • area: main
  • in suites: bullseye, sid
  • size: 1,272 kB
  • sloc: python: 2,042; makefile: 6
file content (35 lines) | stat: -rw-r--r-- 1,771 bytes parent folder | download | duplicates (5)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
$Id: TODO.txt 294 2006-11-07 02:33:08Z parejkoj $

Some ideas for future work.  I don't know whether I'll get around to
any of these items; some of them are probably better left undone
anyway.  Of course if anybody else wants to take one up...

* Implement missing values.  Gnuplot allows you to specify that values
  are missing from data files via the `set missing' command.  This
  should probably be implemented via Numeric's masked arrays.
  (Comments?)  The real benefit of dealing with values is that (I
  think) gnuplot can still put a mesh on a surface even if the surface
  has holes.

* Figure out how to suck gnuplot error messages back into Python and
  turn them into exceptions.  This would be tricky: for one thing, not
  all gnuplot output is indicative of an error.  Moreover,
  implementation on Windows and Mac would require additional effort to
  change their GnuplotProcess classes.  The output from the 'show'
  command could be processed in a similar manner.

* Implement multiple graphs on a single page.  I haven't used this
  feature of gnuplot much myself, so I'm not sure how difficult it
  would be to build it into the Gnuplot.py framework.  Ideally one
  would like to be able to spawn multiple GnuplotWindow's from a
  single Gnuplot instance, each one behaving much like a Gnuplot
  object.  Or maybe treat sub-windows as a kind of meta-PlotItem that
  can itself contain PlotItems.

* Add a way to use Gnuplot.py without Numeric.  This would probably
  not require too much work, and would also be convenient for Jython
  users since JNumeric is not as far along as Numeric.

* Support gnuplot's new abilities to allow user interaction via the
  mouse.  I believe this will require 2-way communication between
  Gnuplot.py and gnuplot.