BUG: Incorrect behavior of binary operations when left/right operands have different type (Series/DataFrame)
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---

**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.

#### Code Sample, a copy-pastable example

```python
import pandas as pd

df = pd.DataFrame([0,1,2]).append(pd.DataFrame([3,4,5]))
df.columns = ['a']
print(df - df.a)

```

#### Problem description

Why we can not to do binary operations when we work with `DataFrame` and  `Series`(dataframe has 1 columns, `len(df.index)==len(series.index)) with duplicated indexes? If left and right operands have the same type (`DataFrame/DataFrame` for example) it works.

#### Expected Output
```
0    0
1    0
2    0
0    0
1    0
2    0
```


#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : 67a3d4241ab84419856b84fc3ebc9abcbe66c6b3
python           : 3.8.3.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.15.0-50-generic
Version          : #54-Ubuntu SMP Mon May 6 18:46:08 UTC 2019
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US
LOCALE           : en_US.ISO8859-1

pandas           : 1.1.4
numpy            : 1.19.2
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 20.0.2
setuptools       : 46.4.0.post20200518
Cython           : None
pytest           : 6.1.1
hypothesis       : None
sphinx           : None
blosc            : None
feather          : 0.4.1
xlsxwriter       : None
lxml.etree       : 4.5.2
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : None
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : None
fsspec           : 0.8.3
fastparquet      : None
gcsfs            : None
matplotlib       : 3.2.2
numexpr          : 2.7.1
odfpy            : None
openpyxl         : 3.0.5
pandas_gbq       : 0.14.0
pyarrow          : 1.0.0
pytables         : None
pyxlsb           : None
s3fs             : 0.5.1
scipy            : 1.5.2
sqlalchemy       : 1.3.19
tables           : 3.6.1
tabulate         : None
xarray           : 0.16.1
xlrd             : 1.2.0
xlwt             : None
numba            : None

</details>
