Groupby Array-Type Quantiles Broken in 0.25.0
#### Code Sample

```python
import pandas as pd

df = pd.DataFrame({
    'category': ['A', 'A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'B'],
    'value': [1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6]
})
quantiles = df.groupby('category').quantile([0.25, 0.5, 0.75])
print(quantiles)
```
#### Problem description

In previous versions of Pandas `< 0.25.0`  and in the documentation it is possible to pass an array-type of quantiles into the `DataFrameGroupBy.quantile()` method to return multiple quantile values in a single call. However, upon installation of `0.25.0` the following error results instead:

```
Traceback (most recent call last):
  File "example.py", line 8, in <module>
    quantiles = df.groupby('category').quantile([0.25, 0.5, 0.75])
  File "/usr/local/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 1908, in quantile
    interpolation=interpolation,
  File "/usr/local/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 2248, in _get_cythonized_result
    func(**kwargs)  # Call func to modify indexer values in place
  File "pandas/_libs/groupby.pyx", line 69
```

#### Expected Output

Using Pandas `0.24.2` the output is:

```
               value
category
A        0.25   2.25
         0.50   3.50
         0.75   4.75
B        0.25   2.25
         0.50   3.50
         0.75   4.75
```

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

<details>

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.4.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.9.125-linuxkit
machine          : x86_64
processor        : 
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 0.25.0
numpy            : 1.16.4
pytz             : 2019.1
dateutil         : 2.8.0
pip              : 19.1.1
setuptools       : 41.0.1
Cython           : None
pytest           : 5.0.1
hypothesis       : None
sphinx           : 2.1.2
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.10.1
IPython          : None
pandas_datareader: None
bs4              : 4.8.0
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : None
matplotlib       : 3.1.1
numexpr          : 2.6.9
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
s3fs             : 0.3.0
scipy            : 1.3.0
sqlalchemy       : None
tables           : 3.5.2
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None

</details>
