`build._eval_factor` error condition attempts to access attribute `dtype` on `DataFrame` object, but no such attribute exists

In _eval_factor we have:

    # Returns either a 2d ndarray, or a DataFrame, plus is_NA mask
    if factor_info.type == "numerical":
        result = atleast_2d_column_default(result, preserve_pandas=True)

followed by

        if not safe_issubdtype(np.asarray(result).dtype, np.number):
            raise PatsyError(
                "when evaluating numeric factor %s, "
                "I got non-numeric data of type '%s'" % (factor.name(), result.dtype),
                factor,
            )

When result is a pandas.DataFrame but the factor is not actually a safe numeric type, this code will try to raise an error, but in doing so it attempts to access result.dtype which does not exist.

This is not a critical bug; it just results in some pretty confusing error messages.

Start at build._eval_factor and reproduce the numeric-factor error with a pandas DataFrame containing non-numeric data. Trace the existing error path and verify that it reports the returned data type without raising a secondary attribute error; run the relevant test suite to confirm the behavior.