DataFrame.multiply(Series, axis=1) with 10k+ rows raises AttributeError
#### Code Sample raising the error:

```python
df = pd.DataFrame(data=np.random.rand(15000, 5), columns=['x', 'a', 'ab', 'b', 'c'])
ser = pd.Series(data=[1.1, 9, 17.8], index=['a', 'b', 'c'])
df.multiply(ser, axis=1)
```
not raising the error if up to 10000 rows are taken:
```python
# NO error:
df.iloc[:10000].multiply(ser, axis=1)
# error:
df.iloc[:10001].multiply(ser, axis=1)
```
#### Problem description
Multiplying a DataFrame with more than 10k rows with a Series with the keyword `axis=1` raises the following error:

> AttributeError: 'numpy.dtype' object has no attribute 'value_counts'
It seems like another path is taken, if more than 10k rows are multiplied.
Version 0.24.2 did NOT reproduce the error. The error occurs since 0.25.0

Omitting the `axis` keyword seems to solve the problem, but is it safe to do so in all cases?

Any ideas for a workaround except for solving it in chunks?

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

<details>
INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.4.final.0
python-bits      : 64
OS               : Windows
OS-release       : 7
machine          : AMD64
processor        : Intel64 Family 6 Model 63 Stepping 2, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : de
LOCALE           : de_DE.ISO8859-1

pandas           : 0.25.0
numpy            : 1.16.4
pytz             : 2019.2
dateutil         : 2.8.0
pip              : 19.2.2
setuptools       : 41.0.1
Cython           : 0.29.13
pytest           : 5.0.1
hypothesis       : None
sphinx           : 2.1.2
blosc            : None
feather          : None
xlsxwriter       : 1.1.8
lxml.etree       : 4.4.1
html5lib         : 1.0.1
pymysql          : None
psycopg2         : None
jinja2           : 2.10.1
IPython          : 7.7.0
pandas_datareader: None
bs4              : 4.8.0
bottleneck       : 1.2.1
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.4.1
matplotlib       : 3.1.0
numexpr          : 2.7.0
odfpy            : None
openpyxl         : 2.6.2
pandas_gbq       : None
pyarrow          : None
pytables         : None
s3fs             : None
scipy            : 1.3.1
sqlalchemy       : 1.3.7
tables           : 3.5.2
xarray           : None
xlrd             : 1.2.0
xlwt             : 1.3.0
xlsxwriter       : 1.1.8
</details>
