ValueError: 3 columns passed, passed data had 1 columns (Extra)

Boa tarde Pessoal,

No meu codigo esta dando um erro que não consigo identificar. Poderiam me ajudar, por favor?

Segue meu codigo abaixo:

import pandas as pd

data = [['1, 2, 3'], ['4, 5, 6'], ['7, 8, 9']]
data

list('321')

df = pd.DataFrame(data, list('321'), list('ZYX'))
df

Tentei tanto no Jupyter como no Colab e nos dois deu o mesmo erro

---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
~\anaconda3\lib\site-packages\pandas\core\internals\construction.py in _list_to_arrays(data, columns, coerce_float, dtype)
    495     try:
--> 496         result = _convert_object_array(
    497             content, columns, dtype=dtype, coerce_float=coerce_float

~\anaconda3\lib\site-packages\pandas\core\internals\construction.py in _convert_object_array(content, columns, coerce_float, dtype)
    579             # caller's responsibility to check for this...
--> 580             raise AssertionError(
    581                 f"{len(columns)} columns passed, passed data had "

AssertionError: 3 columns passed, passed data had 1 columns

The above exception was the direct cause of the following exception:

ValueError                                Traceback (most recent call last)
<ipython-input-23-39ed356571dd> in <module>
----> 1 df = pd.DataFrame(data, list('321'), list('ZYX'))
      2 df

~\anaconda3\lib\site-packages\pandas\core\frame.py in __init__(self, data, index, columns, dtype, copy)
    472                     if is_named_tuple(data[0]) and columns is None:
    473                         columns = data[0]._fields
--> 474                     arrays, columns = to_arrays(data, columns, dtype=dtype)
    475                     columns = ensure_index(columns)
    476 

~\anaconda3\lib\site-packages\pandas\core\internals\construction.py in to_arrays(data, columns, coerce_float, dtype)
    459         return [], []  # columns if columns is not None else []
    460     if isinstance(data[0], (list, tuple)):
--> 461         return _list_to_arrays(data, columns, coerce_float=coerce_float, dtype=dtype)
    462     elif isinstance(data[0], abc.Mapping):
    463         return _list_of_dict_to_arrays(

~\anaconda3\lib\site-packages\pandas\core\internals\construction.py in _list_to_arrays(data, columns, coerce_float, dtype)
    498         )
    499     except AssertionError as e:
--> 500         raise ValueError(e) from e
    501     return result
    502 

ValueError: 3 columns passed, passed data had 1 columns