ValueError when trying to convert a nested dictionary to a Pandas DataFrame in Python 3.10
I'm optimizing some code but I'm working on a project and hit a roadblock. I'm currently working on a data processing task where I need to convert a nested dictionary into a Pandas DataFrame. However, I'm working with a `ValueError` when I try to do so. My nested dictionary looks like this: ```python nested_dict = { 'A': {'name': 'Alice', 'age': 30}, 'B': {'name': 'Bob', 'age': 25}, 'C': {'name': 'Charlie', 'age': 35} } ``` When I attempt to convert this dictionary using the following code: ```python import pandas as pd df = pd.DataFrame.from_dict(nested_dict, orient='index') ``` I receive the behavior message: `ValueError: Length of passed values is 2, index implies 3`. I thought that by setting `orient='index'`, I would be able to structure the DataFrame correctly with the keys as the index and the inner dictionaries as the row values. I've tried using different orientations, such as `orient='columns'`, but that didn't work either. Also, I've confirmed that the dictionary structure is consistent, as all inner dictionaries have the same keys ('name' and 'age'). What am I missing here? Is there a better way to convert this nested dictionary into a DataFrame without running into errors? I'm working on a service that needs to handle this. Any help would be greatly appreciated! The project is a CLI tool built with Python. Is there a simpler solution I'm overlooking?