Python to_object_array_tuples示例

示例#1

文件： test_inference.py 项目： ygene2/pandas

    def test_to_object_array_tuples(self):
        r = (5, 6)
        values = [r]
        lib.to_object_array_tuples(values)

        # make sure record array works
        record = namedtuple("record", "x y")
        r = record(5, 6)
        values = [r]
        lib.to_object_array_tuples(values)

示例#2

文件： test_inference.py 项目： yyonggonyy/pandas

    def test_to_object_array_tuples(self):
        r = (5, 6)
        values = [r]
        result = lib.to_object_array_tuples(values)

        try:
            # make sure record array works
            from collections import namedtuple
            record = namedtuple('record', 'x y')
            r = record(5, 6)
            values = [r]
            result = lib.to_object_array_tuples(values)  # noqa
        except ImportError:
            pass

示例#3

文件： test_inference.py 项目： cmazzullo/pandas

    def test_to_object_array_tuples(self):
        r = (5, 6)
        values = [r]
        result = lib.to_object_array_tuples(values)

        try:
            # make sure record array works
            from collections import namedtuple
            record = namedtuple('record', 'x y')
            r = record(5, 6)
            values = [r]
            result = lib.to_object_array_tuples(values)  # noqa
        except ImportError:
            pass

示例#4

文件： construction.py 项目： Itay4/pandas

def _list_to_arrays(data, columns, coerce_float=False, dtype=None):
    if len(data) > 0 and isinstance(data[0], tuple):
        content = list(lib.to_object_array_tuples(data).T)
    else:
        # list of lists
        content = list(lib.to_object_array(data).T)
    return _convert_object_array(content, columns, dtype=dtype,
                                 coerce_float=coerce_float)

示例#5

def _list_to_arrays(data, columns, coerce_float=False, dtype=None):
    if len(data) > 0 and isinstance(data[0], tuple):
        content = list(lib.to_object_array_tuples(data).T)
    else:
        # list of lists
        content = list(lib.to_object_array(data).T)
    return _convert_object_array(content, columns, dtype=dtype,
                                 coerce_float=coerce_float)

示例#6

文件： construction.py 项目： ParfaitG/pandas

def _list_to_arrays(data: list[tuple | list]) -> np.ndarray:
    # Returned np.ndarray has ndim = 2
    # Note: we already check len(data) > 0 before getting hre
    if isinstance(data[0], tuple):
        content = lib.to_object_array_tuples(data)
    else:
        # list of lists
        content = lib.to_object_array(data)
    return content

示例#7

文件： construction.py 项目： WangyiG/pandas-1

def _list_to_arrays(
    data: List[Scalar],
    columns: Union[Index, List],
) -> Tuple[List[Scalar], Union[Index, List[Axis]]]:
    # Note: we already check len(data) > 0 before getting hre
    if isinstance(data[0], tuple):
        content = lib.to_object_array_tuples(data)
    else:
        # list of lists
        content = lib.to_object_array(data)
    return content, columns

示例#8

文件： construction.py 项目： sergiovirahonda/A2Workspace

def _list_to_arrays(data, columns, coerce_float=False, dtype=None):
    if len(data) > 0 and isinstance(data[0], tuple):
        content = list(lib.to_object_array_tuples(data).T)
    else:
        # list of lists
        content = list(lib.to_object_array(data).T)
    # gh-26429 do not raise user-facing AssertionError
    try:
        result = _convert_object_array(
            content, columns, dtype=dtype, coerce_float=coerce_float
        )
    except AssertionError as e:
        raise ValueError(e) from e
    return result

示例#9

def _list_to_arrays(
    data: List[Scalar],
    columns: Union[Index, List],
    coerce_float: bool = False,
    dtype: Optional[DtypeObj] = None,
) -> Tuple[List[Scalar], Union[Index, List[Axis]]]:
    if len(data) > 0 and isinstance(data[0], tuple):
        content = list(lib.to_object_array_tuples(data).T)
    else:
        # list of lists
        content = list(lib.to_object_array(data).T)
    # gh-26429 do not raise user-facing AssertionError
    try:
        columns = _validate_or_indexify_columns(content, columns)
        result = _convert_object_array(content,
                                       dtype=dtype,
                                       coerce_float=coerce_float)
    except AssertionError as e:
        raise ValueError(e) from e
    return result, columns