List comprehension replacing items that are not float or int

Question

I have a 2 item list.

Sample inputs:

[\'19(1,B7)\', \'20(1,B8)\']
[\'16 Hyp\', \'16 Hyp\']
[\'< 3.2\', \'38.3302615548213\']
[\'18.6086945477694\         


        

Answer 1

values = ['> 10000', '5398.38770002321']
print [filter(lambda s: s in '0123456789.', v) for v in values]

RETURNS:

['10000', '5398.38770002321']

List of strings, as requested.

And to make it a function:

def parse_number(value):
    return [filter(lambda s: s in '0123456789.', v) for v in values]

print parse_number(values)

As an added bonus, making this accept negative numbers would be as easy as adding a hyphen to the whitelisted string '0123456789.-'