Construct pandas DataFrame from items in nested dictionary

Question

Suppose I have a nested dictionary \'user_dict\' with structure:

• Level 1: UserId (Long Integer)
• Level 2: Category (S

Answer 1

Building on verified answer, for me this worked best:

ab = pd.concat({k: pd.DataFrame(v).T for k, v in data.items()}, axis=0)
ab.T