I have a Pandas DataFrame, that after applying a groupby
function
df.groupby(['USER', 'GROUP'])['VALOR'].sum()
outputs this:
USER GROUP
John Doe A 201.37
B 480.59
C 1504.16
John Jones A 239.95
B 1123.39
C 1736.05
...
However, when I convert this df
to JSON:
df.to_json()
It returns this:
{"["John Doe","A"]":201.37,"["John Doe","B"]":480.59,"["John Doe","C"]":1504.16", "["John Jones","A"]":239.95,"["John Jones","B"]":1123.39,"["John Jones","C"]":1736.05}
Is there a way to output it in this format:
{"John Doe": {"A": 201.37, "B":480.59, "C":1504.16}, "John Jones": {"A": 239.95, "B":1123.39, "C":1736.05}}
Yes, unstack
it first.
df.unstack(0).to_json()
{
"John Doe": {
"A": 201.37,
"B": 480.59,
"C": 1504.16
},
"John Jones": {
"A": 239.95,
"B": 1123.39,
"C": 1736.05
}
}
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