解決方案:

1.使用下標 定義類似其語言的列舉型別，也就是定義一系列的數值常量
NAME,AGE,SEX,EMAIL=xrange(4)
student=(‘jim’,16,’male’,’[email protected]’)
print student[EMAIL]

2.使用關鍵字namedtuple 替代內建的tuple

from collections import namedtuple

Person = namedtuple('Person',['name','age','sex','email'])
person1 = Person("xiaowang"
 
,55,1,'[email protected]')
print person1.email


import collections
dir(collections)
['Callable', 'Container', 'Counter', 'Hashable', 'ItemsView', 'Iterable', 'Iterator', 'KeysView', 'Mapping', 'MappingView', 'MutableMapping', 'MutableSequence', 'MutableSet', 'OrderedDict', 'Sequence', 'Set', 'Sized'
 
, 'ValuesView', '__all__', '__builtins__', '__doc__', '__file__', '__name__', '__package__', '_abcoll', '_chain', '_get_ident', '_heapq', '_iskeyword', '_itemgetter', '_repeat', '_starmap', '_sys', 'defaultdict', 'deque', 'namedtuple']
>>> 
>>> help(collections.namedtuple)
Help on function namedtuple in
 
 module collections:

namedtuple(typename, field_names, verbose=False, rename=False)
    Returns a new subclass of tuple with named fields.

    >>> Point = namedtuple('Point', 'x y')
    >>> Point.__doc__                   # docstring for the new class
    'Point(x, y)'
    >>> p = Point(11, y=22)             # instantiate with positional args or keywords
    >>> p[0] + p[1]                     # indexable like a plain tuple
    33
    >>> x, y = p                        # unpack like a regular tuple
    >>> x, y
    (11, 22)
    >>> p.x + p.y                       # fields also accessable by name
    33
    >>> d = p._asdict()                 # convert to a dictionary
    >>> d['x']
    11
    >>> Point(**d)                      # convert from a dictionary
    Point(x=11, y=22)
    >>> p._replace(x=100)               # _replace() is like str.replace() but targets named fields
    Point(x=100, y=22)

    def namedtuple(typename, field_names, verbose=False, 
 rename=False):
    """Returns a new subclass of tuple with named fields.

    >>> Point = namedtuple('Point', ['x', 'y'])
    >>> Point.__doc__                   # docstring for the new class
    'Point(x, y)'
    >>> p = Point(11, y=22)             # instantiate with positional 
     args or keywords
    >>> p[0] + p[1]                     # indexable like a plain tuple
    33
    >>> x, y = p                        # unpack like a regular tuple
    >>> x, y
    (11, 22)
    >>> p.x + p.y                       # fields also accessable by name
    33
    >>> d = p._asdict()                 # convert to a dictionary
    >>> d['x']
    11
    >>> Point(**d)                      # convert from a dictionary
    Point(x=11, y=22)
    >>> p._replace(x=100)               # _replace() is like str.replace() 
     but targets named fields
    Point(x=100, y=22)

方案1：

t = range(4)
t2 = xrange(4)
NAME,AGE,SEX,EMAIL = xrange(4)
print NAME,AGE,SEX,EMAIL
person = ('weihuap',23,1,'[email protected]')

print person[NAME]

方案2：

from collections import namedtuple

Person = namedtuple('Person',['name','age','sex','email'])
person1 = Person("xiaowang",55,1,'[email protected]')
print person1.email
person2 = person1._replace(email="[email protected]")
print person1.email
print person2.email

dperson = person1._asdict()
print dperson['email']

dict1 = {'age':185,'email':'[email protected]','sex':2,'name':'xiaoming'}

tuple1 = Person(**dict1)
print tuple1.name