I have a dataframe –mydata- consists of 500 rows something like this:
Id Name Score
R1 sam 76
R1 Sosan 8
.. … …
R4 jack 2
R4 Tom 76
R4 samy 8
R5 Check 9
… …
Now, I want to convert the dataframe into a dictionary so that the uniqe Ids become the keys and the rows of the uniques Ids become a list. For example, considering the above example, R1 should be a key and the inside of R1 we should have two lists, or for R4 we should have three lists etc. I have treid the below code, but it ignores the unique Ids :
mydictest= mydata.set_index('Id').T.to_dict('list').copy()
So, my desired output should be like this:
{'R1': [['sam', 78],['Sosan',8]], 'R4': [['Jack', 2],['Tom', 76],
['samy', 8]]}
Maybe you can try something like this:
df = pd.DataFrame([['R1', 'sam', 78], ['R2', 'rem', 65], ['R1', 'pem', 56]], columns=['Id', 'Name', 'Score'])
d = df.set_index('Id').to_dict(orient='split')
req_dict = {}
for ind, data in zip(d['index'], d['data']):
if ind in req_dict:
req_dict[ind].append(data)
else:
req_dict[ind] = [data]
print(req_dict)
Output:
{'R1': [['sam', 78], ['pem', 56]], 'R2': [['rem', 65]]}
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