BUG: Rolling mean with ~4k records returns infinite values on ~95% of the rows
- [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.

- [ ] (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
from requests import get

import numpy as np
import pandas as pd

# This is just to get the exact data I used
url = ('https://bitcoincharts.com/charts/chart.json?'
       'm=bitstampUSD&SubmitButton=Draw&r=180&i=Hourly&c=0&s=&e=&Prev=&Next=&'
       't=S&b=&a1=&m1=10&a2=&m2=25&x=0&i1=&i2=&i3=&i4=&v=1&cv=0&ps=0&l=0&p=0&')
res = get(url)
data = res.json()

df = pd.DataFrame(data)

# Using .rolling(20).mean() on all the records (4309 rows) will produce infs on almost all columns
print((df.rolling(20).mean() == np.inf).any())

# However, using only the last 100 records this doesn't happen
print((df.tail(100).rolling(20).mean() == np.inf).any())

# Exactly the same when using only a series. Here I include the count of values.
# We can see that ~95% of the rows turn infinite.
print((df[3].rolling(20).mean() == np.inf).value_counts())
```

#### Problem description

When applying the `.rolling(20).mean()` functions on either a `DataFrame` or a `Series` with ~4k rows approximately 95% of the results are `inf`. However, trimming down the data to only 100 rows, this works fine.

#### Expected Output
This should be the expected output of the last 10 rows:

<img width="750" alt="Captura de Pantalla 2020-10-14 a la(s) 09 24 51" src="https://user-images.githubusercontent.com/12915138/95988378-33188a80-0dff-11eb-9ba6-476c09264de1.png">

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

<details>

INSTALLED VERSIONS
------------------
commit           : db08276bc116c438d3fdee492026f8223584c477
python           : 3.8.5.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           : 1.1.3
numpy            : 1.18.5
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 20.2.3
setuptools       : 50.3.0.post20201006
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : 7.18.1
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.3.2
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pyxlsb           : None
s3fs             : None
scipy            : 1.5.2
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
