Convert a Python list to a multi-column Pandas Dataframe

Question

Folks,

I have a huge Python list which I created from a MongoDB query, it looks like this:

documents[0]['person']

Output:

{'phone': '3368988989898989898',
 'name': 'PABLO',
 'age': 27}

I wish to create a dataframe that looks like a traditional database:

PHONE | NAME | AGE

336...| PABLO| 27

335...| PEDRO| 32

How can I convert this list to a Pandas dataframe so I can write it to my relational database?

i think it is list of dict right , can you show us the structure of your list ? — BENY
– BENY, Commented May 17, 2018 at 22:47

BENY · Accepted Answer · 2018-05-17 22:55:25Z

1

IIUC with pd.DataFrame and apply(pd.Series)

documents=[{'person':{'phone': '3368988989898989898',
 'name': 'PABLO',
 'age': 27}},{'person':{'phone': '3368988989898989898',
 'name': 'PEDRO',
 'age': 35}}]

pd.DataFrame(documents).person.apply(pd.Series)
Out[920]: 
   age   name                phone
0   27  PABLO  3368988989898989898
1   35  PEDRO  3368988989898989898

answered May 17, 2018 at 22:55

BENY

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