In [1]:

    

import pandas as pd
from collections import OrderedDict


    

In [2]:

    

df = pd.DataFrame({'col1': [1, 2, 3], 'col2': ['a', 'x', 'あ']},
                  index=['row1', 'row2', 'row3'])


    

In [3]:

    

print(df)


    

    




      col1 col2
row1     1    a
row2     2    x
row3     3    あ

In [4]:

    

s = df['col1']
print(s)


    

    




row1    1
row2    2
row3    3
Name: col1, dtype: int64

In [5]:

    

print(type(s))


    

    




<class 'pandas.core.series.Series'>

In [6]:

    

d = s.to_dict()
print(d)


    

    




{'row1': 1, 'row2': 2, 'row3': 3}

In [7]:

    

print(type(d))


    

    




<class 'dict'>

In [8]:

    

s = df.set_index('col2')['col1']
print(s)


    

    




col2
a    1
x    2
あ    3
Name: col1, dtype: int64

In [9]:

    

d = s.to_dict()
print(d)


    

    




{'a': 1, 'x': 2, 'あ': 3}

In [10]:

    

od = df['col1'].to_dict(OrderedDict)
print(od)


    

    




OrderedDict([('row1', 1), ('row2', 2), ('row3', 3)])

In [11]:

    

print(type(od))


    

    




<class 'collections.OrderedDict'>