pandas DataFrame.from_records has incomplete `data` type

[mrichards42]

Describe the bug

DataFrame.from_records should accept a list of dicts, but currently is typed to only accept a list-of-tuples or a top level dict.

For comparison, pandas-stubs uses the following type for the data parameter:

        data: (
            np_2darray
            | Sequence[SequenceNotStr]
            | Sequence[Mapping[str, Any]]
            | Mapping[str, Any]
            | Mapping[str, SequenceNotStr[Any]]
        ),

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of pandera.
• (optional) I have confirmed this bug exists on the main branch of pandera.

Code Sample, a copy-pastable example

import pandera.pandas as pa
from pandera.typing.pandas import DataFrame


class MySchema(pa.DataFrameModel):
    a: float
    b: float


def records_to_my_df(records: list[dict[str, float]]) -> DataFrame[MySchema]:
    return DataFrame.from_records(MySchema, records)

$ mypy example.py
example.py:11: error: Argument 2 to "from_records" of "DataFrame" has incompatible type "list[dict[str, float]]"; expected "ndarray[Any, Any] | list[tuple[Any, ...]] | dict[Any, Any] | DataFrame"  [arg-type]
Found 1 error in 1 file (checked 1 source file)

Expected behavior

DataFrame.from_records should accept a list of dicts.