How create dataframe with columns name from dictionary

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from this code:

response=session.get(urllink) 
tabella=pd.read_json(response.content)
data=tabella["table"]
print(data)

I get this dictionary (or I think it is a dictionary), how could I create a dataframe with AAA,BBB,CCC as columns name and all the data ordered in columns?

0      {'AAA': '111', 'BBB': '111', 'CCC': '111',...
1      {'AAA': '222', 'BBB': '222', 'CCC': '222',...
2      {'AAA': '333', 'BBB': '333', 'CCC': '333',...
3      {'AAA': '444', 'BBB': '444', 'CCC': '444',...
4      {'AAA': '555', 'BBB': '555', 'CCC': '555',...
...
Name: table, Length: 200, dtype: object```

I tried with df=pd.DataFrame.from_dict(data) but I get the same result as before

pandas dataframe python json
2 Answers

Try applying pd.Series on the column:

print(df["table"].apply(pd.Series))

Prints:

   AAA  BBB  CCC
0  111  111  111
1  222  222  222
2  333  333  333
3  444  444  444
4  555  555  555
user_100359850

Try with

out = pd.DataFrame(df["table"].tolist())
user_79645270
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