Using REGEX for CSV parsing has been a 10 year jihad for me. I have found it remarkably frustrating, due to the boundary cases:
Numbers come in a variety of forms (here in the US, Canada):
1
1.
1.0
1000
1000.
1,000
1e3
1.0e3
1.0e+3
1.0e+003
-1
-1.0 (etc)
But of course, Europe has traditionally been different with regard to commas and decimal points:
1
1,0
1000
1.000e3
1e3
1,0e3
1,0e+3
1,0e+003
Which just ruins everything. So, we ignore the German and French and Continental standard because the comma just is impossible to work out whether it is separating values, or part of values. (The Continent likes TAB instead of COMMA)
I'll assume that you're "just" looking for numerical values separated from each other by commas and possible space-padding. The expression:
\s*(\-?\d+(?:\.\d*)?(?:[eE][\-+]?\d*)?)\s*
is a pretty fair parser of A NUMBER. Catches just about every reasonable case. Doesn't deal with imbedded commas though! It also trims off spaces, either side of the number.
From there, you can either build an iterative CSV string decomposer (walking each field, absorbing commas, assigning to an array, say), or use the scanf type function to do the same thing. I do prefer the iterative decomposition method - as it also allows you to parse out strings, hexadecimal, and virtually any other pattern you find in the data.