Numpy.ndarray Vs Pandas.dataframe

I need to make a strategic decision about choice of the basis for data structure holding statistical data frames in my program. I store hundreds of thousands of records in one big

Solution 1:

pandas.DataFrame is awesome, and interacts very well with much of numpy. Much of the DataFrame is written in Cython and is quite optimized. I suspect the ease of use and the richness of the Pandas API will greatly outweigh any potential benefit you could obtain by rolling your own interfaces around numpy.