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src/p/i/picrust-HEAD/picrust/ancestral_state_reconstruction.py   picrust(Download)
    #load in the first column (containing row ids). File doesn't matter since they should all have identical first columns.
    table=LoadTable(filename=output_files[0],header=True,sep='\t')
    row_ids = table.getRawData(columns=[table.Header[0]])
    combined_table.append([table.Header[0]])
    for row_id in row_ids:
        #pull out the second column (first column with actual preditions)
        table=LoadTable(filename=output_file,header=True,sep='\t')
        predictions = table.getRawData(columns=[table.Header[1]])
 
        #Add the header for our column to the list of headers