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What is the most efficient way to create a dictionary of two pandas Dataframe columns?
...list('AB'))
In [7]: %timeit dict(zip(df.A,df.B))
1000 loops, best of 3: 1.27 ms per loop
In [8]: %timeit pd.Series(df.A.values,index=df.B).to_dict()
1000 loops, best of 3: 987 us per loop
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answered Dec 8 '10 at 12:27
Lee NethertonLee Netherton
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