Pizza.py can easily be extended in several ways:
You might be able to do (2) because you're better with Python than we are! Note that generally, we've opted for simplicity versus speed in writing the tools, unless the operation is very costly. An example of something I'd like to speed up is the reading of large dump files in dump.py.
Some of the ideas we've had for (3), but haven't gotten around to, are listed at the top of the src/*.py files as ToDo items.
If you think your addition will be useful to other Pizza.py users, email it to email@example.com and it can be added to the distribution with an attribution to you, both in the source code and on the Pizza.py WWW site.
Here are ideas to consider when creating new Pizza.py tools or scripts:
(1) For tools, your *.py file should contain a Python class with the same name as the *.py file since it will be imported into Pizza.py with a statement like
from dump import dump
(2) Your scripts can use methods from Pizza.py classes to make data analysis easier. E.g. scripts can be written that use the dump tool to read dump files, then use the iterator calls and vecs() method from dump.py to loop over snapshots and extract lists of particles for further computation. See the scripts and examples directories for examples of this.
(3) To flag an error in your script or tool and exit back to the Pizza.py prompt, use a line like:
raise StandardError,"error message"
(4) Document your tool be defining the "oneline" and "docstr" variables at the top of the file. This is what will be printed when you type "? dump", for example.
(5) If you intend your tool to interact with other Pizza.py tools, you should follow the Pizza.py philosophy of having objects be passed as arguments to the tool methods. If you're creating a tool that is similar to an existing tool, but a different flavor (e.g. wrapping another plotting package in addition to MatLab or GnuPlot), then try to make the interface similar to the others so all the related tools can be used interchangeably.
(6) From the Pizza.py perspective, the difference between a script and a tool is as follows. A script typically does a specific operation (with or without arguments). E.g. process a dump file and compute a quantity. A tool version of the same operation would allow it to store internal state and persist, or to be packaged in a way that other tools or scripts can create instances of it and call its methods. From the Python perspective the code for the 2 cases may not look very different. The tool version might just be some Python variables and methods stuck inside a Python class, which is what a Pizza.py tool basically is.
(7) The various Pizza.py tools are mostly related to the "LAMMPS" molecular dynamics or ChemCell cell simulator packages. But of course you can write Pizza.py tools that have nothing to do with LAMMPS or ChemCell. If you think they will still be of general interest to Pizza.py users, you can send them to us to include in the Pizza.py distribution. Or you can keep the top-level pizza.py file, throw away the LAMMPS and ChemCell tool files, build your own toolkit for whatever application you wish, and use or even distribute it yourself. That's the open-source philosophy.