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import pandas as pd d = {0: [1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0], 1: [16, 1, 0, 15, 7, 14, 13, 7, 3, 10, 14, 8, 10, 3, 5, 4, 8, 13, 6, 2, 11, 11, 0, 12, 9, 16, 12, 15, 9, 1, 4, 5, 6, 2], 2: [32, 32, 32, 32, 32, 33, 46, 64, 97, 97, 99, 99, 100, 101, 101, 102, 103, 103, 103, 104, 105, 105, 106, 108, 109, 109, 110, 111, 111, 111, 112, 112, 121, 122]} print (pd.DataFrame(d).pivot(1,0,2).applymap(chr).agg(''.join)) Most time repeating dupes, not easy find:
pivot dupe booelan indexing dupe idxmax + groupby dupe idxmin + groupby dupe melt dupe explode dupe cumcount dupe map dupe groupby+size+unstack dupe sorting inplace dupe factorize dupe groupby+size dupe groupby+ mean dupe transform sum dupe transform size dupe keyerror dupe merge/map dupe value_count dupe numpy select, where dupe wide_to_long dupe reset_index dupe 
