[Numpy-discussion] Gnuplot.py version 1.5 released
mhagger at alum.mit.edu
Sat Jan 27 11:10:43 CST 2001
This is to announce the release of version 1.5 of Gnuplot.py.
Gnuplot.py is a Python  package that allows you to create graphs
from within Python using the gnuplot  plotting program.
Gnuplot.py can be obtained from
Prerequisites (see footnotes):
the Python interpreter 
the Python Numeric module 
the gnuplot program 
Some ways this package can be used:
1. Interactive data processing: Use Python's excellent Numeric package
to create and manipulate arrays of numbers, and use Gnuplot.py to
visualize the results.
2. Web graphics: write CGI scripts in Python that use gnuplot to
output plots in GIF format and return them to the client.
3. Glue for numerical applications (this is my favorite): wrap your
C++/C/Fortran subroutines so that they are callable from Python,
then you can perform numerical computations interactively from
scripts or from the command line and use Gnuplot.py to plot the
output on the fly.
4. Compute a series of datasets in Python and plot them one after the
other using Gnuplot.py to produce a crude animation.
New features in this version:
+ Added distutils support.
+ Broke up the module a bit for better maintainability. The most
commonly-used facilities are still available through "import
Gnuplot", but some specialized things have been moved to separate
modules, in particular funcutils.py and PlotItems.py.
+ funcutils.tabulate_function() can be used to evaluate a function
on a 1-D or 2-D grid of points (this replaces grid_function,
which only worked with 2-D grids).
+ Added two helper functions, funcutils.compute_Data and
funcutils.compute_GridData, which compute a function's values on
a set of points and package the results into a PlotItem.
+ GridFunc is no longer an independent class; it is now a factory
function that returns a GridData. GridFunc is deprecated in
favor of funcutils.compute_GridData.
+ Changed set_option to work from a table, so that it doesn't need
to be overloaded so often.
+ Implemented test_persist for each platform to make it easier for
users to determine whether the `-persist' option is supported.
+ Added a prefer_persist option to serve as the default `persist'
+ Following a suggestion by Jannie Hofmeyr, use "from os import
popen" for Python 2.0 under Windows. I don't use Windows, so let
me know how this works.
+ Added support for the `axes' and `smooth' options of the `plot'
+ Reworked the comment strings in an effort to make them work
nicely with happydoc.
Features already present in older versions:
+ Two and three-dimensional plots.
+ Plot data from memory, from a file, or from an expression.
+ Support for multiple simultaneous gnuplot sessions.
+ Can pass arbitrary commands to the gnuplot program.
+ Object oriented, extensible design with several built-in types
of plot items.
+ Portable and easy to install (nothing to compile except on
+ Support for MS Windows, using the `pgnuplot.exe' program.
+ Support for sending data to gnuplot as `inline' or `binary' data.
These are optimizations that also remove the need for temporary
files. Temporary files are still the default.
 Python <http://www.python.org> is an excellent object-oriented
scripting/rapid development language that is also especially good
at gluing programs together.
 gnuplot <http://www.gnuplot.org/> is a free, popular, very
portable plotting program with a command-line interface. It can
make 2-d and 3-d plots and can output to myriad printers and
 The Numeric Python extension <http://numpy.sourceforge.net/> is a
Python module that adds fast and convenient array manipulations to
the Python language.
mhagger at alum.mit.edu
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