Passing Dataframe column as variable to a dict in a loop - pandas

Question

I have a Dataframe with 2 columns as below:
name, type
prod_a, fruit
prod_b, vegetable
prod_c, fruit
I am trying to pass these two columns to the below dict in a loop:
data = {"name": df['name'],
"accountId": df['type']}
How could I pass values from the Dataframe into the above dict data

Answer 1

If want loop by each row and create dictionaries separately use:
for x, y in df[['name','type']].values:
data = {"name": x, "accountId": y}
print (data)
{'name': 'prod_a', 'accountId': 'fruit'}
{'name': 'prod_b', 'accountId': 'vegetable'}
{'name': 'prod_c', 'accountId': 'fruit'}
Or rename column and use DataFrame.to_dict with r for method records:
for data in df[['name','type']].rename(columns={'type':'accountId'}).to_dict('r'):
print (data)
{'name': 'prod_a', 'accountId': 'fruit'}
{'name': 'prod_b', 'accountId': 'vegetable'}
{'name': 'prod_c', 'accountId': 'fruit'}
If need same output use DataFrame.to_dict with l for method list:
data = df[['name','type']].rename(columns={'type':'accountId'}).to_dict('l')
print (data)
{'name': ['prod_a', 'prod_b', 'prod_c'],
'accountId': ['fruit', 'vegetable', 'fruit']}

Answer 2

IIUC:
df = pd.DataFrame({
'name': ['prod_a', 'prod_b', 'prod_c'],
'type': ['fruit', 'vegetable', 'fruit']
})
data = dict()
for i in list(df.columns):
data.update({('accountId' if i=='type' else i): list(df[i])})
print(data)
{'name': ['prod_a', 'prod_b', 'prod_c'],
'accountId': ['fruit', 'vegetable', 'fruit']}