BUG: column with type float32 is skipped by rolling
- [x] I have checked that this issue has not already been reported.

- [ ] I have confirmed this bug exists on the latest version of pandas.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---

**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.

#### Code Sample, a copy-pastable example

```python
In [1]: import pandas as pd
   ...: import numpy as np
   ...: arr = np.zeros((5,5))
   ...: df = pd.DataFrame(arr)
   ...: df[3] = 1
   ...: df[3] = df[3].astype(np.float32)
   ...: df.rolling(2, axis=1).max()
Out[1]:
    0    1    2    4
0 NaN  0.0  0.0  0.0
1 NaN  0.0  0.0  0.0
2 NaN  0.0  0.0  0.0
3 NaN  0.0  0.0  0.0
4 NaN  0.0  0.0  0.0

In [2]: df[3] = df[3].astype(np.float64)
   ...: df.rolling(2, axis=1).max()
Out[2]:
    0    1    2    3    4
0 NaN  0.0  0.0  1.0  1.0
1 NaN  0.0  0.0  1.0  1.0
2 NaN  0.0  0.0  1.0  1.0
3 NaN  0.0  0.0  1.0  1.0
4 NaN  0.0  0.0  1.0  1.0

```

#### Problem description

It seems that the column with type float32 is skipped by the operation rolling.

#### Expected Output

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


INSTALLED VERSIONS
<details>

commit           : 5f648bf1706dd75a9ca0d29f26eadfbb595fe52b
python           : 3.8.10.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.15.0-123-generic
Version          : #126-Ubuntu SMP Wed Oct 21 09:40:11 UTC 2020
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.3.2
numpy            : 1.20.3
pytz             : 2021.1
dateutil         : 2.8.2
pip              : 21.2.4
setuptools       : 57.4.0
Cython           : 0.29.24
pytest           : 6.2.4
hypothesis       : None
sphinx           : 4.1.2
blosc            : None
feather          : None
xlsxwriter       : 3.0.1
lxml.etree       : 4.6.3
html5lib         : 1.1
pymysql          : None
psycopg2         : None
jinja2           : 2.11.3
IPython          : 7.26.0
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : 1.3.2
fsspec           : 2021.07.0
fastparquet      : None
gcsfs            : None
matplotlib       : 3.4.3
numexpr          : 2.7.3
odfpy            : None
openpyxl         : 3.0.7
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.7.1
sqlalchemy       : 1.4.23
tables           : 3.6.1
tabulate         : None
xarray           : None
xlrd             : 2.0.1
xlwt             : 1.3.0
numba            : 0.53.1


</details>
