BUG: Dollar symbol appears in dataframe rows which have numerical values
- [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
import pandas as pd

pd.options.display.max_rows = 1000                                                                  
pd.options.display.float_format = '${:,.2f}'.format    

df = pd.DataFrame(columns=['topic', 'key', 'min', 'avg', 'max', 'current'])

list1 = [
['aggregator1', 'NA', 628, '14.26 K', '15.39 K', 14014.27],
['aggregator2', 'changelog', 0, '4 k', '8 k', 21.2],
['aggregator3', 'CacheData', 0, '2 k', '3 k', 3432.2],
['aggregator4', 'EntityData', 0, 200, 600, 456.21],
['aggregator5', 'internalData', 482, '10.79 K', '11.65 K', 10646.77],
['aggregator6', 'externalData', 145, '3.47 K', '3.74 K', 3366.96]
]

i = 0
for el in list1:
    df.loc[i] = el
    i = i + 1

print(df)

print(df.to_html())

print(df.to_markdown())
```

#### Problem description


Sometimes when a dataframe is converted to markdown or HTML with to_markdown() or to_html(), some numeric values automatically get converted to currency, like $40 instead of 40. There is no mention of currency in the code I Used

#### Expected Output
$ sign should be avoided if user doesn't choose it

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

<details>
INSTALLED VERSIONS
------------------
commit           : None
python           : 3.6.8.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.15.0-1048-aws
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : C.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.0.5
numpy            : 1.19.0
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 20.1.1
setuptools       : 47.3.1
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.10
IPython          : None
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pytest           : None
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : None
tables           : None
tabulate         : 0.8.7
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None
numba            : None
</details>
