from_pandas doesnt convert ndarray to list

[Feel free to change issue type because this is probably by design]

I have noticed that that if the one of the columns in the parquet file is of type array, pyarrow table stores it as list
>>> table[3].type
DataType(list<element: string>)
If I do a .to_pandas() on the column, I get something like this
>> table[3].to_pandas()
0 None
1 [7]
2 [46]
dtype: object

However, I cant do a pyarrow.Table.from_pandas from a dataframe having the above ndarray as a series/column. I get this error
Invalid: Python object of type ndarray is not None and is not a string, bool, float, int, date,
decimal object

If to_pandas() can covert a list to ndarray, shouldnt from_pandas also convert an ndarray to type list in the table ?