larry Meet larry, he's a labeled array
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data Array NumPy data array labeled array NumPy array

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Meet larry, he's a labeled array The larry project is a data array that let's you label each row and column. A two-dimensional larry, for example, contains a NumPy array to hold the data and a list of row labels and column labels. A larry can have any dimension.Alignment by label is automatic when you add (or subtract, multiply, divide) two larrys.larry has built-in methods such as movingsum, ranking, merge, shuffle, zscore, demean, lag as well as typical Numpy methods like sum, max, std, sign, clip. NaNs are treated as missing data.You can archive larrys in HDF5 format using save and load or using a dictionary-like interface.larry adds the convenience of labels, provides many built-in methods, and let's you use many of your existing NumPy array functions.docs code https://code.launchpad.net/~kwgoodman/larry/trunk mail http://groups.google.ca/group/pystatsmodels Requirements: · Python · NumPy

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