ENH: Replace skiprows with skip_rows to begin standardizing underscore usage in keyword arguments
By [my rough count](https://docs.google.com/spreadsheets/d/1h_iQ5Pexs5SuCT2pfbN8OH6ld6ZyvWqTEaH2W-xkEJE/edit?usp=sharing), the [`read_csv`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html) method has nearly 50 keyword arguments.

Of those, 32 arguments are made up or two or more words. Twenty of those multi-word arguments use an underscore to mark the space between words, like  `skip_blank_lines` and `parse_dates`. Twelve do not, like `chunksize` and `lineterminator`. 

It is my opinion this is a small flaw in pandas' API, and the library would benefit by standardizing how spaces are handled. It will make pandas more legible and consistent, and therefore easier for users of all experience levels.

Since the underscore method is more common and more legible, I propose it be adopted.

All existing arguments without an underscore will need to be modified. As a first salvo, I have attempted to change the `skiprows` kwarg to `read_csv` and its sibling methods to `skip_rows`. I have included an experimental deprecation warning that aims to continue to support the old argument for some interval into the future. 

Due to my lack of expertise on pandas' internals, I expect this request includes some flaws that would need to be corrected before inclusion. However, I hope that the maintainers of the library will agree with the overall aims of this patch, which is to begin a process of introducing greater consistency to the style of keyword arguments. 

If you do agree, I would be pleased to lead an effort to gradually standardize the inputs and put in the work to finish the job. 

Thank you for your consideration. 