[BUG] Mars DataFrame merge with Series

[ChengjieLi28]

Describe the bug
It seems that mars dataframe cannot merge with series.

To Reproduce
To help us reproducing this bug, please provide information below:

1. Your Python version: 3.9.12
2. The version of Mars you use: latest
3. Versions of crucial packages, such as numpy, scipy and pandas: pandas 1.4.3
4. Full stack of the error.

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Input In [6], in <cell line: 1>()
----> 1 c = df2.merge(r_group_res, left_on=["c2"], right_on=["c2"])[['c1', 'c3']]

File ~/Projects/mars/mars/dataframe/merge/merge.py:1132, in merge(df, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator, validate, method, auto_merge, auto_merge_threshold, bloom_filter, bloom_filter_options)
   1110             raise ValueError(
   1111                 f"Invalid filter {k}, available: {BLOOM_FILTER_ON_OPTIONS}"
   1112             )
   1113 op = DataFrameMerge(
   1114     how=how,
   1115     on=on,
   (...)
   1130     output_types=[OutputType.dataframe],
   1131 )
-> 1132 return op(df, right)

File ~/Projects/mars/mars/core/mode.py:77, in _EnterModeFuncWrapper.__call__.<locals>._inner(*args, **kwargs)
     74 @functools.wraps(func)
     75 def _inner(*args, **kwargs):
     76     with enter_mode(**mode_name_to_value):
---> 77         return func(*args, **kwargs)

File ~/Projects/mars/mars/dataframe/merge/merge.py:193, in DataFrameMerge.__call__(self, left, right)
    192 def __call__(self, left, right):
--> 193     empty_left, empty_right = build_df(left), build_df(right)
    194     # this `merge` will check whether the combination of those arguments is valid
    195     merged = empty_left.merge(
    196         empty_right,
    197         how=self.how,
   (...)
    207         validate=self.validate,
    208     )

File ~/Projects/mars/mars/dataframe/utils.py:573, in build_df(df_obj, fill_value, size, ensure_string)
    570     fill_values = fill_value
    572 for size, fill_value in zip(sizes, fill_values):
--> 573     dtypes = df_obj.dtypes
    574     record = [[_generate_value(dtype, fill_value) for dtype in dtypes]] * size
    575     df = pd.DataFrame(record)

File ~/Projects/mars/mars/core/entity/core.py:140, in Entity.__getattr__(self, attr)
    139 def __getattr__(self, attr):
--> 140     return getattr(self._data, attr)

AttributeError: 'SeriesData' object has no attribute 'dtypes'

5. Minimized code to reproduce the error.

import mars
import mars.dataframe as md

df1 = md.DataFrame(
            {
                "c1": [3, 4, 5, 3, 5, 4, 1, 2, 3],
                "c2": [1, 3, 4, 5, 6, 5, 4, 4, 4],
                "c3": list("aabaaddce"),
                "c4": list("abaaaddce"),
            }
        )

df2 = md.DataFrame(
            {
                "c1": [3, 3, 4, 5, 6, 5, 4, 4, 4],
                "c2": [1, 3, 4, 5, 6, 5, 4, 4, 4],
                "c3": list("aabaaddce"),
                "c4": list("abaaaddce"),
            }
        )
r_group_res = df1.groupby(['c1'])['c2'].sum()
c = df2.merge(r_group_res, left_on=["c2"], right_on=["c2"])[['c1', 'c3']]

Expected behavior
Pandas 1.4.3 can execute the code above successfully.

Additional context
Add any other context about the problem here.