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<title>Gnuplot.py: Gnuplot</title>
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bgcolor="#88bbee"><font color="#000000">Gnuplot.py: Gnuplot</font>
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align="right"><font color="#000000"> </font>
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<p>This is to announce the release of version 1.7 of Gnuplot.py.</p>
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<p>Gnuplot.py is a Python <a href="#1"><a href="#ref1">[1]</a></a> package that allows you to create graphs
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from within Python using the gnuplot <a href="#2"><a href="#ref2">[2]</a></a> plotting program.</p>
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<h3>Gnuplot.py can be obtained from</h3>
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<p> http://gnuplot-py.sourceforge.net/</p>
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<p>Prerequisites (see footnotes):
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the Python interpreter <a href="#1"><a href="#ref1">[1]</a></a>
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the Python Numeric module <a href="#3"><a href="#ref3">[3]</a></a>
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the gnuplot program <a href="#2"><a href="#ref2">[2]</a></a></p>
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<p>or, to use it under Java (experimental):
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the Jython interpreter <a href="#4"><a href="#ref4">[4]</a></a>
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the Jython version of the Numeric module <a href="#5"><a href="#ref5">[5]</a></a>
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the gnuplot program <a href="#2"><a href="#ref2">[2]</a></a></p>
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<p>Some ways this package can be used:</p>
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<li><p> Interactive data processing: Use Python's excellent Numeric package
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to create and manipulate arrays of numbers, and use Gnuplot.py to
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visualize the results.
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2. Web graphics: write CGI scripts in Python that use gnuplot to
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output plots in (for example) PNG format and return them to the
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3. Glue for numerical applications (this is my favorite): wrap your
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C++/C/Fortran subroutines so that they are callable from Python,
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then you can perform numerical computations interactively from
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scripts or from the command line and use Gnuplot.py to plot the
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4. Compute a series of datasets in Python and plot them one after the
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other using Gnuplot.py to produce a crude animation.</p></li>
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<h3>New features in this version:</h3>
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<p> + Relaxed license from GPL to LGPL.
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+ Added support for sending data to gnuplot via FIFOs (named pipes).
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This eliminates the ambiguity about when temporary files can be
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deleted, and thereby removes a common source of problems with
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Gnuplot.py. Unfortunately, FIFOs only work under forms of unix.
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+ Added preliminary support for running Gnuplot.py under Jython, the
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Java implementation of the Python language. It partly works but
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depends on JNumeric, which is still beta-level.</p>
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<h3>Features already present in older versions:</h3>
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<p> + Two and three-dimensional plots.
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+ Plot data from memory, from a file, or from an expression.
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+ Support for multiple simultaneous gnuplot sessions.
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+ Can pass arbitrary commands to the gnuplot program.
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+ Object oriented, extensible design with several built-in types
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+ Portable and easy to install (nothing to compile except on
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+ Support for Unix (including Linux and Mac OS X), MS Windows, and
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Mac OS. The platform-dependent layer is fairly well abstracted
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out, so it shouldn't be too difficult to add support for other
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+ Support for sending data to gnuplot as `inline' or `binary' data.
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These are optimizations that also remove the need for temporary
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+ Partly table-driven to make it easy to extend. New terminal
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types can be supported easily by adding data to a table.
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+ Install via distutils.</p>
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<a href="#1"><a href="#ref1">[1]</a></a> Python <http://www.python.org> is an excellent object-oriented
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scripting/rapid development language that is also especially good
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at gluing programs together.
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<a href="#2"><a href="#ref2">[2]</a></a> gnuplot <http://www.gnuplot.info/> is a free, popular, very
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portable plotting program with a command-line interface. It can
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make 2-d and 3-d plots and can output to myriad printers and
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<a href="#3"><a href="#ref3">[3]</a></a> The Numeric Python extension <http://numpy.sourceforge.net/> is a
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Python module that adds fast and convenient array manipulations to
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<a href="#4"><a href="#ref4">[4]</a></a> Jython <http://www.jython.org> is a Python interpreter that runs
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within a Java virtual machine.
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<a href="#5"><a href="#ref5">[5]</a></a> JNumeric <http://jnumerical.sourceforge.net/> is a version of the
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Numeric module that runs under Java/Jython.</p>
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