BUG: "cannot reindex from duplicate axis" thrown using unique indexes, duplicated column names and a specific numpy array values
#### Code Sample

```
import pandas 
import numpy as np

a = np.array([[1,2],[3,4]]) 

# DO NOT WORKS
b = np.array([[0.5,6],[7,8]])  
# b = np.array([[.5,6],[7,8]])  # The same problem

# This one works fine:
# b = np.array([[5,6],[7,8]]) 

dfA = pandas.DataFrame(a)
# This works fine EVEN using .5, because the columns name is different
# dfA = pandas.DataFrame(a, columns=['a','b'])
dfB = pandas.DataFrame(b)

df_new = pandas.concat([dfA, dfB], axis = 1)

print(df_new[df_new > 5])
```


#### Problem description

It has a bug that combines numpy specific values and duplicated DataFrame column names when it's used a select operation, such as `df[df > 5]`. A exception is thrown saying "cannot reindex from duplicate axis", however It should not be, because:

- The DataFrame has no duplicated indexes ( `df.index.is_unique` is `True`)
- The DataFrame has duplicated column names, but should not be a problem when we apply the selection operation, such as `df_new[df_new > 5]`
- The DataFrame uses `float `or `int` numpy values, so it should not change the behavior of the code

**However** the values in the numpy array DO changes the behavior of the DataFrame selection, if the DataFrame has duplicated column names.

#### Expected Output

```
    0   1    0  1
0 NaN NaN  NaN  6
1 NaN NaN  7.0  8
```

#### Current Output 

```
~/.local/lib/python3.6/site-packages/pandas/core/indexes/base.py in _can_reindex(self, indexer)
   3097         # trying to reindex on an axis with duplicates
   3098         if not self.is_unique and len(indexer):
-> 3099             raise ValueError("cannot reindex from a duplicate axis")
   3100 
   3101     def reindex(self, target, method=None, level=None, limit=None, tolerance=None):

ValueError: cannot reindex from a duplicate axis
```

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

<details>

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.6.9.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.3.0-28-generic
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : pt_BR.UTF-8

pandas           : 1.0.1
numpy            : 1.18.1
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 20.0.2
setuptools       : 45.2.0
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : 2.3.1
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.1
IPython          : 7.12.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : None
matplotlib       : 3.1.3
numexpr          : 2.7.1
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pytest           : None
pyxlsb           : None
s3fs             : None
scipy            : 1.4.1
sqlalchemy       : None
tables           : 3.6.1
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None
numba            : None

</details>
