找到了另一种方法:

import json
print json.dumps(d, sort_keys = True)

乌利希期刊指南: 1. 这也可以对嵌套对象进行排序(谢谢@DanielF)。 2. Python字典是无序的，因此只适用于打印或赋值给STR。

from operator import itemgetter
# if you would like to play with multiple dictionaries then here you go:
# Three dictionaries that are composed of first name and last name.
user = [
    {'fname': 'Mo', 'lname': 'Mahjoub'},
    {'fname': 'Abdo', 'lname': 'Al-hebashi'},
    {'fname': 'Ali', 'lname': 'Muhammad'}
]
#  This loop will sort by the first and the last names.
# notice that in a dictionary order doesn't matter. So it could put the first name first or the last name first. 
for k in sorted (user, key=itemgetter ('fname', 'lname')):
    print (k)

# This one will sort by the first name only.
for x in sorted (user, key=itemgetter ('fname')):
    print (x)

字典本身并没有这样的排序条目，如果你想按某种顺序打印它们，这里有一些例子:

在Python 2.4及以上版本中:

mydict = {'carl':40,
          'alan':2,
          'bob':1,
          'danny':3}

for key in sorted(mydict):
    print "%s: %s" % (key, mydict[key])

给:

alan: 2
bob: 1
carl: 40
danny: 3

(Python低于2.4:)

keylist = mydict.keys()
keylist.sort()
for key in keylist:
    print "%s: %s" % (key, mydict[key])

来源:http://www.saltycrane.com/blog/2007/09/how-to-sort-python-dictionary-by-keys/

2.7中两个方法的时间比较显示它们实际上是相同的:

>>> setup_string = "a = sorted(dict({2:3, 1:89, 4:5, 3:0}).items())"
>>> timeit.timeit(stmt="[(k, val) for k, val in a]", setup=setup_string, number=10000)
0.003599141953657181

>>> setup_string = "from collections import OrderedDict\n"
>>> setup_string += "a = OrderedDict({1:89, 2:3, 3:0, 4:5})\n"
>>> setup_string += "b = a.items()"
>>> timeit.timeit(stmt="[(k, val) for k, val in b]", setup=setup_string, number=10000)
0.003581275490432745 

我发现对字典进行排序的一个简单方法是，根据要排序的字典的排序键:值项创建一个新字典。 如果你想对dict ={}排序，使用相关的方法检索它的所有项，使用sorted()函数对它们排序，然后创建新字典。

下面是使用字典理解的代码:

sorted_dict = {k:v for k,v in sorted(dict.items())}

注意:对于Python 3.7+，请参见此答案

标准Python字典是无序的(直到Python 3.7)。即使对(键，值)对进行了排序，也不能将它们存储在字典中以保持排序。

最简单的方法是使用OrderedDict，它会记住元素被插入的顺序:

In [1]: import collections

In [2]: d = {2:3, 1:89, 4:5, 3:0}

In [3]: od = collections.OrderedDict(sorted(d.items()))

In [4]: od
Out[4]: OrderedDict([(1, 89), (2, 3), (3, 0), (4, 5)])

不要在意od是如何打印出来的;它会像预期的那样工作:

In [11]: od[1]
Out[11]: 89

In [12]: od[3]
Out[12]: 0

In [13]: for k, v in od.iteritems(): print k, v
   ....: 
1 89
2 3
3 0
4 5

Python 3

对于Python 3用户，需要使用.items()而不是.iteritems():

In [13]: for k, v in od.items(): print(k, v)
   ....: 
1 89
2 3
3 0
4 5