Turn pandas dataframe into dictionary

Question

I am running a for loop over a pandas dataframe that takes each row and creates a dictionary (of a sort) then uploads to an internal system.

The for loop isn't a problem, neither is the upload to the internal system. I cannot seem to get the format of the dictionary correct for the upload to proceed.

Here is a model of the dataframe:

    Id    Acct_num    Acct_Name   Prod   Date        Rev
0  1495   5001        Alpha       ret34  4/30/2020   4999
1  1496   5002        Beta        pro45  4/30/2020   18076
2  1497   5003        Gamma       sli55  4/30/2020   5671
3  1498   5004        Delta       ret34  4/30/2020   16683

for better viewing if needed

I need each row of the dataframe to look like the below (first two rows):

1495:{'Acct_num':'5001', 'Acct_Name':'Alpha', 'Prod':'ret34', 'Date':'4/30/2020', 'Rev':'4999'}
1496:{'Acct_num':'5002', 'Acct_Name':'Beta', 'Prod':'pro45', 'Date':'4/30/2020', 'Rev':'18076'}

Here is what I have tried (with a few other variations, but to no avail):

for row in df.iloc[:,:].itertuples(index=False):
    if not row:
        break
    else:   
        d = row._asdict()
d

Which outputs an ordered dictionary like this:

OrderedDict([('Id', '1495),('Acct_num', '5001'),('Acct_Name', 'Alpha'),('Prod', 'ret34'), ('Date','2020-04-30'),('Rev',4999)])

Answer 1

Use to_dict with orient="index"

'index': dict like {index -> {column -> value}}

d = df.to_dict(orient="index")
d
{1495: {'Acct_num': 5001, 'Acct_Name': 'Alpha', 'Prod': 'ret34', 'Date': '4/30/2020', 'Rev': 4999}, 
1496: {'Acct_num': 5002, 'Acct_Name': 'Beta', 'Prod': 'pro45', 'Date': '4/30/2020', 'Rev': 18076}, 
1497: {'Acct_num': 5003, 'Acct_Name': 'Gamma', 'Prod': 'sli55', 'Date': '4/30/2020', 'Rev': 5671}, 
1498: {'Acct_num': 5004, 'Acct_Name': 'Delta', 'Prod': 'ret34', 'Date': '4/30/2020', 'Rev': 16683}}