当使用列表设置DataFrame列时，panda引发ValueError异常，而当使用Series时，panda不引发ValueError异常，这是有原因的吗？导致多余的Series值被忽略（例如，下面示例中的7）。

>>> import pandas as pd
>>> df = pd.DataFrame([[1],[2]])
>>> df
   0
0  1
1  2
>>> df[0] = [5,6,7]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "D:\Python310\lib\site-packages\pandas\core\frame.py", line 3655, in __setitem__
    self._set_item(key, value)
  File "D:\Python310\lib\site-packages\pandas\core\frame.py", line 3832, in _set_item
    value = self._sanitize_column(value)
  File "D:\Python310\lib\site-packages\pandas\core\frame.py", line 4529, in _sanitize_column
    com.require_length_match(value, self.index)
  File "D:\Python310\lib\site-packages\pandas\core\common.py", line 557, in require_length_match
    raise ValueError(
ValueError: Length of values (3) does not match length of index (2)
>>>
>>> df[0] = pd.Series([5,6,7])
>>> df
   0
0  5
1  6

在Windows 10上使用Python 3.10.6和Pandas1.5.3进行测试。