如何按键对字典进行排序?
示例输入:
{2:3, 1:89, 4:5, 3:0}
期望的输出:
{1:89, 2:3, 3:0, 4:5}
如何按键对字典进行排序?
示例输入:
{2:3, 1:89, 4:5, 3:0}
期望的输出:
{1:89, 2:3, 3:0, 4:5}
当前回答
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
其他回答
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)
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
以下是建议解决方案的性能:
from collections import OrderedDict
from sortedcontainers import SortedDict
import json
keys = np.random.rand(100000)
vals = np.random.rand(100000)
d = dict(zip(keys, vals))
timeit SortedDict(d)
#45.8 ms ± 780 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
timeit sorted(d.items())
#91.9 ms ± 707 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
timeit OrderedDict(sorted(d.items(), key=lambda x: x[0]))
#93.7 ms ± 1.52 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
timeit dict(sorted(dic.items()))
#113 ms ± 824 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
timeit OrderedDict(sorted(dic.items()))
#122 ms ± 2.65 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
timeit json.dumps(d, sort_keys=True)
#259 ms ± 9.42 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
如我们所见,格兰特·詹克斯的解决方案是目前为止最快的。
Python字典是无序的。通常,这不是问题,因为最常见的用例是执行查找。
最简单的方法是创建一个集合。OrderedDict以排序顺序插入元素。
ordered_dict = collections.OrderedDict([(k, d[k]) for k in sorted(d.keys())])
如果需要迭代,就像上面其他人建议的那样,最简单的方法是迭代排序的键。的例子,
按键排序打印值:
# create the dict
d = {k1:v1, k2:v2,...}
# iterate by keys in sorted order
for k in sorted(d.keys()):
value = d[k]
# do something with k, value like print
print k, value
获取按键排序的值列表:
values = [d[k] for k in sorted(d.keys())]
最简单的解决方案是,你应该得到一个dict键排序顺序的列表,然后遍历dict。例如
a1 = {'a':1, 'b':13, 'd':4, 'c':2, 'e':30}
a1_sorted_keys = sorted(a1, key=a1.get, reverse=True)
for r in a1_sorted_keys:
print r, a1[r]
以下是输出(按顺序排列)
e 30
b 13
d 4
c 2
a 1