I have a dictionary:
a = {'100':12,'6':5,'88':3,'test':34, '67':7,'1':64 }
I want to sort this dictionary with respect to key so it looks like:
a = {'1':64,'6':5,'67':7,'88':3, '100':12,'test':34 }
                Like everyone else has pointed out, dictionaries have their own ordering and you can't just sort them like you would a list.
One thing I would like to add is that, if you just want to go through the elements of a dictionary in sorted order, that's just:
for k in sorted(a):
    print k, a[k] # or whatever.
If you'd rather have a list comprehension (per Alex):
sortedlist = [(k, a[k]) for k in sorted(a)]
I would like to point out that Alex's use of key=int won't work with your example because one of your keys is 'test'.  If you really want he numbers sorted before the non-numerics, you'll have to pass in a cmp function:
def _compare_keys(x, y):
    try:
        x = int(x)
    except ValueError:
        xint = False
    else:
        xint = True
    try:
        y = int(y)
    except ValueError:
        if xint:
            return -1
        return cmp(x.lower(), y.lower())
        # or cmp(x, y) if you want case sensitivity.
    else:
        if xint:
            return cmp(x, y)
        return 1
for k in sorted(a, cmp=_compare_keys):
    print k, a[k] # or whatever.
Or maybe you know enough about your keys to write a function to convert them into a string (or other object) that sorts right:
# Won't work for integers with more than this many digits, or negative integers.
MAX_DIGITS = 10
def _keyify(x):
    try:
        xi = int(x)
    except ValueError:
        return 'S{0}'.format(x)
    else:
        return 'I{0:0{1}}'.format(xi, MAX_DIGITS)
for k in sorted(a, key=_keyify):
    print k, a[k] # or whatever.
This would be much faster than using a cmp function.
You cannot sort a dict in Python as the dict type is inherently unordered. What you can do is sort the items before you used them using the sorted() built in function. You will also need a helper function to distinguish between your numerical and string keys:
def get_key(key):
    try:
        return int(key)
    except ValueError:
        return key
a = {'100':12,'6':5,'88':3,'test':34, '67':7,'1':64 }
print sorted(a.items(), key=lambda t: get_key(t[0]))
However in Python 3.1 (and 2.7) the collections module contains the collections.OrderedDicttype that can be used to achieve the effect you want like below:
def get_key(key):
    try:
        return int(key)
    except ValueError:
        return key
a = {'100':12,'6':5,'88':3,'test':34, '67':7,'1':64 }
b = collections.OrderedDict(sorted(a.items(), key=lambda t: get_key(t[0])))
print(b)
                        9 years ago I posted a recipe that starts
Dictionaries can't be sorted -- a mapping has no ordering!
and shows how to get sorted lists out of a dict's keys and values.
With today's Python, and your expressed-plus-implied specs, I'd suggest:
import sys
def asint(s):
    try: return int(s), ''
    except ValueError: return sys.maxint, s
sortedlist = [(k, a[k]) for k in sorted(a, key=asint)]
the key=asint is what tells sorted to treat those string keys as integers for sorting purposes, so that e.g. '2' sorts between '1' and '12', rather than after them both -- that's what you appear to require, as well as having all non-all-digits keys sort after all 
all-digits ones.  If you need to also deal with all-digits key strings that express integers larger than sys.maxint, it's a bit trickier, but still doable:
class Infinity(object):
    def __cmp__(self, other): return 0 if self is other else 1
infinite = Infinity()
def asint(s):
    try: return int(s), ''
    except ValueError: return infinite, s
In general, you can get better answers faster if you specify your exact requirements more precisely from the start;-).
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