BUG: DataFrame.any() with not returning Boolean series with skipna=False across columns with numeric and string types
- [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.

If the dataframe has columns have different numeric types 
```python
import pandas as pd
import numpy as np
df = pd.DataFrame([[1, 0], [np.nan, 1]], columns=list('ab'))
df.any(axis=1, skipna=False)
```
the behavior is as expected

```python
0    True
1    True
dtype: bool
```

But if the columns have numeric and string types 

```python
df = pd.DataFrame([[1, 's'], [np.nan, 't']], columns=list('ab'))
df.any(axis=1, skipna=False)
```
it looks like the first column is returned

```python
0      1
1    NaN
dtype: object
```

The mixed types across rows doesn't seem to be a problem, if I do

```python
df = pd.DataFrame([['s', 1], [np.nan, 't']], columns=list('ab'))
df.any(axis=0, skipna=False)
```

I get

```python
a    True
b    True
dtype: bool
```

Also don't have any issues if `skipna=True`.

Expected behavior is to get a series of booleans either way.


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

<details>

INSTALLED VERSIONS
------------------
commit           : b5958ee1999e9aead1938c0bba2b674378807b3d
python           : 3.9.1.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 19.6.0
Version          : Darwin Kernel Version 19.6.0: Mon Aug 31 22:12:52 PDT 2020; root:xnu-6153.141.2~1/RELEASE_X86_64
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.1.5
numpy            : 1.19.2
pytz             : 2020.5
dateutil         : 2.8.1
pip              : 20.3.3
setuptools       : 51.0.0.post20201207
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : 7.19.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
