human
I wrote the below code

    if (converterd is None):
        converterd = dict()
    if (missingd is None):
        missingd = {}
    import dateutil.parser
    import datetime
    fh = cbook.to_filehandle(fname)
    delimiter = str(delimiter)
    class FH:
        u'\n                                For    space-delimited    files,    we    want    different    behavior    than\n                                comma    or    tab.        Generally,    we    want    multiple    spaces    to    be\n                                treated    as    a    single    separator,    whereas    with    comma    and    tab    we\n                                want    multiple    commas    to    return    multiple    (empty)    fields.        The\n                                join/strip    trick    below    effects    this.\n                                '
        def __init__(self, fh):
            self.fh = fh
        def close(self):
            self.fh.close()
        def seek(self, arg):
            self.fh.seek(arg)
        def fix(self, s):
            return u'    '.join(s.split())
        def __next__(self):
            return self.fix(next(self.fh))
        def __iter__(self):
            for line in self.fh:
                (yield self.fix(line))
    if (delimiter == u'    '):
        fh = FH(fh)
    reader = csv.reader(fh, delimiter=delimiter)
    def process_skiprows(reader):
        if skiprows:
            for (i, row) in enumerate(reader):
                if (i >= (skiprows - 1)):
                    break
        return (fh, reader)
    process_skiprows(reader)
    def ismissing(name, val):
        u'Should    the    value    val    in    column    name    be    masked?'
        return ((val == missing) or (val == missingd.get(name)) or (val == u''))
    def with_default_value(func, default):
        def newfunc(name, val):
            if ismissing(name, val):
                return default
            else:
                return func(val)
        return newfunc
    def mybool(x):
        if (x == u'True'):
           ...

What's a good function header?

Here's a good function header?
assistant
#Here's a good function header.

def csv2rec(fname, comments=u'#', skiprows=0, checkrows=0, delimiter=u',', converterd=None, names=None, missing=u'', missingd=None, use_mrecords=False, dayfirst=False, yearfirst=False):