How to combine Mathematica graphics and Python code?

*To*: mathgroup at smc.vnet.net*Subject*: [mg113367] How to combine Mathematica graphics and Python code?*From*: kj <no.email at please.post>*Date*: Mon, 25 Oct 2010 06:42:16 -0400 (EDT)*Organization*: none

I have been given the task of developing a data visualization system for a large academic experimental biology lab. In this lab they generate a lot of specialized high-throughput data, and they need a custom system for organizing, analyzing, and visualizing it. (Many such systems already exist, of course, but for a wide variety of reasons the lab's directors decided to go with a custom, home-grown alternative.) I have decided to develop the system primarily in Python, for a couple of reasons.[1] The big downside of Python, however, is that it does not have, in my opinion, a sufficiently good support for scientific graphics.[2] In my experience Mathematica is the gold standard for scientific graphics, and wondered if there was some way in which I could combine Python code with Mathematica graphics. The absolute ideal system would be something that looked likei a (highly stripped down) Mathematica GUI, but receiving Python code instead of Mathematica code. I.e. basically a cross between the standard Python interactive text-based interpreter and a Mathematica graphics-enabled GUI. A less attractive possibility (but still adequate) would be for the Python system to generate the necessary Mathematica code on the fly, and somehow get Mathematica to generate and display a figure for it. A third alternative would be to build a Python interpreter that could be run within Mathematica, but this is pushing beyond my level of expertise, both with Python and with Mathematica. At this stage I'm interested in finding out of similar attempts to use Mathematica's graphics capabilities in a non-Mathematica app, and perhaps learn from their experience. Technical issues aside, there are also thorny licensing issues. If anyone has any experience with that, I would love to read your comments. TIA! ~kj [1] The choice of Python is motivated by two reasons: 1) the lab already has a significant code base in Python that I can re-use for this project; and 2) I expect that in certain special cases not covered by the system's base functionality, its users (most of whom have no programming experience at all) may need to write very simple scripts, and I find Python is particularly easy to teach to people with no programming background. [2] The best Python for scientific graphics is matplotlib, which is loosely based on another system. matplotlib is adequate for relatively simple graphics tasks, but it is not flexible enough for the type of visualization that I think will be needed. (I think this inflexibility is the result of some pretty fundamental design flaws in matplotlib.)