PYTHON

dictionary from two columns pandas

pd.Series(df.A.values,index=df.B).to_dict()

create dict from two columns pandas

In [6]: df = pd.DataFrame(randint(0,10,10000).reshape(5000,2),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

python how to create dict from dataframe based on 2 columns

In [9]: pd.Series(df.Letter.values,index=df.Position).to_dict()
Out[9]: {1: 'a', 2: 'b', 3: 'c', 4: 'd', 5: 'e'}

how to create dictionary between two columns in python

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dict(zip(df.state, df.name))
 
{'AK': 'Alaska',
 'AL': 'Alabama',
 'AR': 'Arkansas',
 'AZ': 'Arizona',
 'CA': 'California'}