Pandas DataFrame to List of Dictionaries

I have the following DataFrame:

    customer    item1      item2    item3
    1           apple      milk     tomato
    2           water      orange   potato
    3           juice      mango    chips

which I want to translate it to list of dictionaries per row

    rows = [{'customer': 1, 'item1': 'apple', 'item2': 'milk', 'item3': 'tomato'},
        {'customer': 2, 'item1': 'water', 'item2': 'orange', 'item3': 'potato'},
        {'customer': 3, 'item1': 'juice', 'item2': 'mango', 'item3': 'chips'}]

Edit

As John Galt mentions in his answer , you should probably instead use df.to_dict('records'). It's faster than transposing manually.

    In [20]: timeit df.T.to_dict().values()
    1000 loops, best of 3: 395 µs per loop

    In [21]: timeit df.to_dict('records')
    10000 loops, best of 3: 53 µs per loop

Original answer

Use df.T.to_dict().values(), like below:

    In [1]: df
    Out[1]:
       customer  item1   item2   item3
    0         1  apple    milk  tomato
    1         2  water  orange  potato
    2         3  juice   mango   chips

    In [2]: df.T.to_dict().values()
    Out[2]:
    [{'customer': 1.0, 'item1': 'apple', 'item2': 'milk', 'item3': 'tomato'},
     {'customer': 2.0, 'item1': 'water', 'item2': 'orange', 'item3': 'potato'},
     {'customer': 3.0, 'item1': 'juice', 'item2': 'mango', 'item3': 'chips'}]

From: stackoverflow.com/q/29815129

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