How can I force Pandas `read_html` function to read digit field as string not integer
Is there a possible way to convert the field from `int` to `str`?

> I have explored the issues like https://github.com/pandas-dev/pandas/issues/10534, https://github.com/pandas-dev/pandas/issues/21379, https://github.com/gte620v/pandas/blob/5cb8243f2dd31cc2155627f29cfc89bbf6d4b84b/pandas/io/tests/test_html.py#L715
>
> I do not think `converters` arg fit for our usage since the table is updated everyday and it may add a new column, then we need manually add a new key to the parameter


Here is the entire stacktrace when I used the function

```
PS C:\Users\Zhenye.na\Desktop> python3 .\dash-prod.py
.\dash-prod.py:4: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
  from collections import Mapping, Iterable
Traceback (most recent call last):
  File ".\dash-prod.py", line 59, in <module>
    df = pd.read_html(response.text, skiprows=1)
  File "C:\Users\Zhenye.na\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\pandas\io\html.py", line 1105, in read_html
    displayed_only=displayed_only,
  File "C:\Users\Zhenye.na\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\pandas\io\html.py", line 915, in _parse
    for table in tables:
  File "C:\Users\Zhenye.na\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\pandas\io\html.py", line 213, in <genexpr>
    return (self._parse_thead_tbody_tfoot(table) for table in tables)
  File "C:\Users\Zhenye.na\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\pandas\io\html.py", line 411, in _parse_thead_tbody_tfoot
    header = self._expand_colspan_rowspan(header_rows)
  File "C:\Users\Zhenye.na\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\pandas\io\html.py", line 459, in _expand_colspan_rowspan
    colspan = int(self._attr_getter(td, "colspan") or 1)
ValueError: invalid literal for int() with base 10: '\\"1\\"'
```

The core usage of `read_html` function code is as follows:

```python
response = requests.get(url, headers=hdrs)
df = pd.read_html(response.text, skiprows=1)[0]
print(df)
```

I would love to use the `read_html` function to extract the table in the response returned from the REST API. I have test the function in a small scale table, which contains only digits and it works. But for the data returned from REST API contains characters and digits.

Here is a demo of what the table looks like: (Assume `DC1` and `Location 1` has one `'\n'` symbol separated)


|  Date | DC 1  Location 1 | DC 2   Location 2 | DC 3   Location 3 |
|:-----:|:----------------:|:-----------------:|:-----------------:|
| 03/04 |      1.23.4      |       1.23.4      |       1.23.4      |
| 04/05 |      1.23.4      |       1.23.4      |       1.23.4      |


I assume the error message may because of the `'.'` symbol in field like `1.23.4` but I am not sure how to fix it.

Any ideas or thoughts are appreciated!

Thanks!
