I have a dataframe with columns like this:
Name
, Education
, DOB
, Job
, Q1
, Q2
, Q3
I want to create a nested dictionary like this:
{
Name: {
Bio: {
Education: {value},
DOB: {value},
Job: {value}
},
Questions: {
Q1: {value},
Q2: {value},
Q3: {value}
}
}
}
How should I go about this?
You can just iterate over rows
nested_dict = {
row['Name']: {
'Bio': {
'Education': row['Education'],
'DOB': row['DOB'],
'Job': row['Job']
},
'Questions': {
'Q1': row['Q1'],
'Q2': row['Q2'],
'Q3': row['Q3'],
}
}
for index, row in df.iterrows()
}
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