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Gist 6857a0243ad24b95924f

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Aakeshavan
Last edited Aug 21, 2015
Created on Aug 21, 2015

This example uses pandas and Matplotlib within an IPython notebook to aggregate and compare FreeSurfer brain segmentation statistics across multiple CSV files. It processes volume, area, thickness, and aseg measurements, grouping them by subject ID and averaging values to produce normalized and unnormalized output tables. The code merges separate CSV files, collapses left/right hemisphere labels into combined metrics, and then saves the resulting aggregated data for each measurement type.

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