COMPAT: __Pyx_PyNumber_IntOrLong raises ValueError on PyPy
the function [``__Pyx_PyNumber_IntOrLong``](https://github.com/cython/cython/blob/master/Cython/Utility/TypeConversion.c#L268) from cython raises an exception when the conversion fails. On CPython, this will always be a ``TypeError`` from line 314, but on other implementations i.e. PyPy the call to ``PyNumber_Int`` on line 298 raises a ``ValueError`` upon failure.

Pandas catches only a ``TypeError``. The easiest fix would be for pandas to catch both ``TypeError`` and ``ValueError`` when conversion fails, a harder fix would be to change cython to raise a ValueError on CPython as well, and then fix all the downstream libraries that use it (Or to scope the call to ``PyNumber_Int`` and convert the exception, and then require a minimum cython version for pandas-on-PyPy).

I already have the fix for catching multiple exceptions, should I issue a pull request for that?