In this recipe, we turn to the scripting language Python. This high-level language is well suited to the interactive exploration of data and the rapid development of programs for its analysis. This facility is made even stronger by its extension library
numpy, which adds a rich set of efficient, C-coded routines for manipulating numerical arrays. In addition, there are several ways to make plots directly from Python. In this recipe we introduce Python's gnuplot interface,
You will need an installation of Python and its numerical library
numpy, which comes with several popular scientific Python packages. You also need
gnuplot.py, which you also may already have if you are doing scientific work ...