# Buggy code
def broadcast_apply(self, axis, func, other, preserve_labels=True, dtypes=None):
    """Broadcast partitions of other dataframe partitions and apply a function.

    Args:
        axis: The axis to broadcast over.
        func: The function to apply.
        other: The Modin DataFrame to broadcast.
        preserve_labels: Whether or not to keep labels from this Modin DataFrame.
        dtypes: "copy" or None. Whether to keep old dtypes or infer new dtypes from
            data.

    Returns:
         A new Modin DataFrame
    """
    # Only sort the indices if they do not match
    left_parts, right_parts, joined_index = self._copartition(
        axis, other, "left", sort=not self.axes[axis].equals(other.axes[axis])
    )
    # unwrap list returned by `copartition`.
    right_parts = right_parts[0]
    new_frame = self._frame_mgr_cls.broadcast_apply(axis, func, left_parts, right_parts)
    if dtypes == "copy":
        dtypes = self._dtypes
    new_index = self.index
    new_columns = self.columns
    if not preserve_labels:
        if axis == 1:
            new_columns = joined_index
        else:
            new_index = joined_index
    return self.__constructor__(
        new_frame, new_index, new_columns, None, None, dtypes=dtypes
    )


# Traceback (IndexError)
df = pd.DataFrame({"a":[1, 2 ,3]})
df.shift(-1).a / df.a
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-8-7cc3bcb4fa16> in <module>
1 df = pd.DataFrame({"a":[1, 2 ,3]})
----> 2 df.shift(-1).a / df.a

~/Envs/strategy/lib/python3.7/site-packages/modin/pandas/series.py in __truediv__(self, right)
348
349     def __truediv__(self, right):
--> 350         return self.truediv(right)
351
352     def __rtruediv__(self, left):

~/Envs/strategy/lib/python3.7/site-packages/modin/pandas/series.py in truediv(self, other, level, fill_value, axis)
1478         new_self, new_other = self._prepare_inter_op(other)
1479         return super(Series, new_self).truediv(
-> 1480             new_other, level=level, fill_value=None, axis=axis
1481         )
1482

~/Envs/strategy/lib/python3.7/site-packages/modin/pandas/base.py in truediv(self, other, axis, level, fill_value)
3299         """
3300         return self._binary_op(
-> 3301             "truediv", other, axis=axis, level=level, fill_value=fill_value
3302         )
3303

~/Envs/strategy/lib/python3.7/site-packages/modin/pandas/base.py in _binary_op(self, op, other, **kwargs)
231             )
232         other = self._validate_other(other, axis, numeric_or_object_only=True)
--> 233         new_query_compiler = getattr(self._query_compiler, op)(other, **kwargs)
234         return self._create_or_update_from_compiler(new_query_compiler)
235

~/Envs/strategy/lib/python3.7/site-packages/modin/data_management/functions/binary_function.py in caller(query_compiler, other, *args, **kwargs)
49                             lambda x, y: func(x, y, *args, **kwargs),
50                             other._modin_frame,
---> 51                             join_type=join_type,
52                         )
53                     )

~/Envs/strategy/lib/python3.7/site-packages/modin/engines/base/frame/data.py in _binary_op(self, op, right_frame, join_type)
1604         right_parts = right_parts[0]
1605         new_frame = self._frame_mgr_cls.binary_operation(
-> 1606             1, left_parts, lambda l, r: op(l, r), right_parts
1607         )
1608         new_columns = self.columns.join(right_frame.columns, how=join_type)

~/Envs/strategy/lib/python3.7/site-packages/modin/engines/base/frame/partition_manager.py in binary_operation(cls, axis, left, func, right)
753                     other_axis_partition=right_partitions[i],
754                 )
--> 755                 for i in range(len(left_partitions))
756             ]
757         )

~/Envs/strategy/lib/python3.7/site-packages/modin/engines/base/frame/partition_manager.py in <listcomp>(.0)
753                     other_axis_partition=right_partitions[i],
754                 )
--> 755                 for i in range(len(left_partitions))
756             ]
757         )

IndexError: list index out of range

# Fixed code
def broadcast_apply(
    self, axis, func, other, join_type="left", preserve_labels=True, dtypes=None
):
    """
    Broadcast partitions of other dataframe partitions and apply a function.

    Parameters
    ----------
        axis: int,
            The axis to broadcast over.
        func: callable,
            The function to apply.
        other: BasePandasFrame
            The Modin DataFrame to broadcast.
        join_type: str (optional)
            The type of join to apply.
        preserve_labels: boolean (optional)
            Whether or not to keep labels from this Modin DataFrame.
        dtypes: "copy" or None (optional)
             Whether to keep old dtypes or infer new dtypes from data.

    Returns
    -------
        BasePandasFrame
    """
    # Only sort the indices if they do not match
    left_parts, right_parts, joined_index = self._copartition(
        axis, other, join_type, sort=not self.axes[axis].equals(other.axes[axis])
    )
    # unwrap list returned by `copartition`.
    right_parts = right_parts[0]
    new_frame = self._frame_mgr_cls.broadcast_apply(axis, func, left_parts, right_parts)
    if dtypes == "copy":
        dtypes = self._dtypes
    new_index = self.index
    new_columns = self.columns
    if not preserve_labels:
        if axis == 1:
            new_columns = joined_index
        else:
            new_index = joined_index
    return self.__constructor__(
        new_frame, new_index, new_columns, None, None, dtypes=dtypes
    )