Tabular data container and associated convenience routines in Python
Tabular data can be easily represented in Python using the language’s native objects – e.g. by lists of tuples representing the records of the data set. Though easy to create, these kind of representations typically do not enable important tabular data manipulations, like efficient column selection, matrix mathematics, or spreadsheet-style operations.
Tabular is a package of Python modules for working with tabular data. Its main object is the tabarray class, a data structure for holding and manipulating tabular data. By putting data into a tabarray object, you’ll get a representation of the data that is more flexible and powerful than a native Python representation. More specifically, tabarray provides:
Note to NumPy Users: The tabarray object is based on the ndarray object from the Numerical Python package (NumPy), and the Tabular package is built to interface well with NumPy in general. In particular, users of NumPy can get many of the benefits of Tabular, e.g. the spreadsheet-style operations, without having replace their usual NumPy objects with tabarrays, since most of the useful functional pieces of Tabular are written to work directly on NumPy ndarrays and record arrays (see relationship to NumPy).
Download the latest release of tabular from the Python Package Index (PyPi): http://pypi.python.org/pypi/tabular/.
Tabular requires Python 2.6 or higher, but will not work with Python 3k (since NumPy itself is not ported to Py3k). Tabular requires NumPy v1.6 or higher. Any earlier version WILL NOT WORK.
Once these dependencies are installed, you can simply go to the Tabular source directory in your terminal and run the command “python setup.py install” (see Installing Python Modules).
You can also clone our github repository: https://github.com/yamins81/tabular. You can report bugs, make suggestions, submit pull requests, and follow an RSS from our github site.