ENH: Possible to add dtype/converters as arguments for pandas.read_xml() ?
#### Is your feature request related to a problem?

I am using pandas lib to read xml for further processes, however a number of columns with leading ZERO are always converted to numbers, so I lost the original data.

#### Describe the solution you'd like

It would be great to add **dtype/converter** arguments for `pandas.read_xml()` to force pandas to interprete certain columns with given dtype/converters.
Just like similar IO read (read_csv, read_html, etc)

[read_xml](https://pandas.pydata.org/docs/reference/api/pandas.read_xml.html)
[read_csv](https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html)

#### API breaking implications

Probably not, this argument could be optional.

#### Describe alternatives you've considered

Write my own code to pull data by each xml nodes, which results in very bad performance.