newbie: working iwth list of tuples

[Raymond Hettinger]

[Raymond Hettinger]
> Parameterized filter, extract, and reduce functions can be handled in a
> like manner.

Just for grins, here is a more worked-out example:

def pfunc(inputfields, operation):
    "Parameterized computation of a new field"
    # For example, append a field that is the sum of fields 1 and 3:
    #    z = pfunc((1, 3), operator.add)
    #    print map(z, database)
    def z(record):
        newfield = operation(*[record[f] for f in inputfields])
        return record + (newfield,)
    return z

def rfunc(inputfield, operation):
    "Parameterized reduce operation"
    #
    # For example, find the maximum value of field 2:
    #    r = rfunc(2, max)
    #    print reduce(r, database)
    def z(cumval, record):
        x = record[inputfield]
        return operation(cumval, x)
    return z

def filt_func(inputfields, operation):
    "Parameterized filter operation"
    #
    # For example, get records where field1 < field2:
    #    f = filt_func((1, 3), operator.lt)
    #    print filter(f, database)
    def z(record):
        i, j = inputfields
        return operation(i, j)
    return z

def xfunc(fields):
    "Parameterized extract operation"
    #
    # For example, extract fields 1, 3, and 4
    # x = xfunc((1,3,4))
    # print map(x, database)
    def z(record):
        return tuple([record[f] for f in fields])
    return z


# ---- The examples can be run on the following sample database: ----

database = [
    (10, 25, 30, 40, 50, 60),
    (100, 250, 300, 400, 500, 600),
    (1, 2.5, 3, 4, 5, 6),
]