Not possible to concatenate DataFrames with sparse data without copying
#### Code Sample

```python
a = pd.DataFrame([0, 0, 1, 0, 2], columns=['a'])
a = a.astype(pd.SparseDtype('float', 0.0))
b = pd.DataFrame([0, 2, 3, 0, 2], columns=['b'])
b = b.astype(pd.SparseDtype('float', 0.0))

pd.concat([a, b], axis=1, copy=False)
```
#### Problem description
Hello! Since `SparseArray` is no longer a subclass of `numpy.ndarray` (pandas>=0.24.0) it is not possible to concatenate dataframes with `SparseArray` dtype using `pandas.concat`.
The problem is `SparseArray` has not attribute `view` which is used in `pandas.core.internals.managers.py` at function `concatenate_block_managers` when parameter `copy` is `False`.

#### Actual Output
```
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-6-d61b58c595ad> in <module>
----> 1 pd.concat([a, b], axis=1, copy=False)

~/.conda/envs/pandas_dev/lib/python3.7/site-packages/pandas/core/reshape/concat.py in concat(objs, axis, join, join_axes, ignore_index, keys, levels, names, verify_integrity, sort, copy)
    256     )
    257 
--> 258     return op.get_result()
    259 
    260 

~/.conda/envs/pandas_dev/lib/python3.7/site-packages/pandas/core/reshape/concat.py in get_result(self)
    471 
    472             new_data = concatenate_block_managers(
--> 473                 mgrs_indexers, self.new_axes, concat_axis=self.axis, copy=self.copy
    474             )
    475             if not self.copy:

~/.conda/envs/pandas_dev/lib/python3.7/site-packages/pandas/core/internals/managers.py in concatenate_block_managers(mgrs_indexers, axes, concat_axis, copy)
   2044                 values = values.copy()
   2045             elif not copy:
-> 2046                 values = values.view()
   2047             b = b.make_block_same_class(values, placement=placement)
   2048         elif is_uniform_join_units(join_units):

AttributeError: 'SparseArray' object has no attribute 'view'
```
#### Output of ``pd.show_versions()``

<details>

### INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.5.final.0
python-bits      : 64
OS               : Linux
OS-release       : 3.10.0-957.1.3.el7.x86_64
machine          : x86_64
processor        : 
byteorder        : little
LC_ALL           : C.UTF-8
LANG             : C.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 0.25.3
numpy            : 1.17.4
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 19.3.1
setuptools       : 42.0.2.post20191203
Cython           : 0.29.14
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : 7.10.2
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : None
matplotlib       : 3.1.2
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
s3fs             : None
scipy            : 1.4.0
sqlalchemy       : None
tables           : None
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None
</details>
