伙计们，你们把事情搞复杂了……非常简单

from pprint import pprint
Dict={'B':1,'A':2,'C':3}
pprint(Dict)

输出结果为:

{'A':2,'B':1,'C':3}

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 

简单:

d = {2:3, 1:89, 4:5, 3:0}
sd = sorted(d.items())

for k,v in sd:
    print k, v

输出:

1 89
2 3
3 0
4 5

或者用熊猫，

演示:

>>> d={'B':1,'A':2,'C':3}
>>> df=pd.DataFrame(d,index=[0]).sort_index(axis=1)
   A  B  C
0  2  1  3
>>> df.to_dict('int')[0]
{'A': 2, 'B': 1, 'C': 3}
>>> 

See:

这方面的文档 整只熊猫的记录

伙计们，你们把事情搞复杂了……非常简单

from pprint import pprint
Dict={'B':1,'A':2,'C':3}
pprint(Dict)

输出结果为:

{'A':2,'B':1,'C':3}