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House (see datab.py), examine (see stats.py) and model (see regress.py) tabular panel data.

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Panel Data and Numpy Utils

Python and numpy based library for housing, examining and modeling tabular panel data. Some additional numpy utilities are implemented.

Notable modules:

  • datab : numpy recarray subclass, for housing tabular data. Keeps track of formatting of the fields, and has methods for data inspection and disk I/O.

  • stats : Keep track of (optionally weighted) descriptive statistics of incoming data, handling nans. Handles bivariate data, and two-dimensional data.

  • regress : Perform multivariate weighted linear regression, handling nans and returning associated statistics.

Installation

From the directory where you downloaded the files, run the following command-line to install the library:

 $ python setup.py install

Or simply place all files into a directory called tamarind/ somewhere in your $PYTHONPATH.

Dependencies : numpy, scipy.

Synopsis

Under construction.

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House (see datab.py), examine (see stats.py) and model (see regress.py) tabular panel data.

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