将Dictionary的String表示形式转换为字典？

如何将a的str表示形式(dict如下面的字符串)转换为dict？

s = "{'muffin' : 'lolz', 'foo' : 'kitty'}"

我不喜欢用eval.我还能用什么？

这样做的主要原因是我写的一个同事课程,将所有输入转换为字符串.我没心情去修改他的课程来处理这个问题.

1> Jacob Gabrie..：

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从Python 2.6开始,您可以使用内置的ast.literal_eval:

>>> import ast
>>> ast.literal_eval("{'muffin' : 'lolz', 'foo' : 'kitty'}")
{'muffin': 'lolz', 'foo': 'kitty'}

这比使用更安全eval.正如自己的文档所说:

>>> help(ast.literal_eval)
Help on function literal_eval in module ast:

literal_eval(node_or_string)
    Safely evaluate an expression node or a string containing a Python
    expression.  The string or node provided may only consist of the following
    Python literal structures: strings, numbers, tuples, lists, dicts, booleans,
    and None.

例如:

>>> eval("shutil.rmtree('mongo')")
Traceback (most recent call last):
  File "", line 1, in 
  File "", line 1, in 
  File "/opt/Python-2.6.1/lib/python2.6/shutil.py", line 208, in rmtree
    onerror(os.listdir, path, sys.exc_info())
  File "/opt/Python-2.6.1/lib/python2.6/shutil.py", line 206, in rmtree
    names = os.listdir(path)
OSError: [Errno 2] No such file or directory: 'mongo'
>>> ast.literal_eval("shutil.rmtree('mongo')")
Traceback (most recent call last):
  File "", line 1, in 
  File "/opt/Python-2.6.1/lib/python2.6/ast.py", line 68, in literal_eval
    return _convert(node_or_string)
  File "/opt/Python-2.6.1/lib/python2.6/ast.py", line 67, in _convert
    raise ValueError('malformed string')
ValueError: malformed string

2> ir0x539..：

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http://docs.python.org/2/library/json.html

JSON可以解决这个问题,虽然它的解码器需要围绕键和值的双引号.如果你不介意替换hack ...

import json
s = "{'muffin' : 'lolz', 'foo' : 'kitty'}"
json_acceptable_string = s.replace("'", "\"")
d = json.loads(json_acceptable_string)
# d = {u'muffin': u'lolz', u'foo': u'kitty'}

请注意,如果您将单引号作为键或值的一部分,则由于不正确的字符替换而失败.只有在您对eval解决方案有强烈反感时,才建议使用此解决方案.

更多关于json单引号:jQuery单引号的JSON响应

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`{"foo":"b'ar"}`

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`{'foo':( 1,2,3)}`

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如果您有尾随逗号(不符合JSON),这也会失败,例如:"{'muffin':'lolz','foo':'kitty',}"

3> tokhi..：

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使用json.loads:

>>> import json
>>> h = '{"foo":"bar", "foo2":"bar2"}'
>>> d = json.loads(h)
>>> d
{u'foo': u'bar', u'foo2': u'bar2'}
>>> type(d)

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我不认为它回答了OP的答案.我们如何使用json.laads将字符串s ="{'muffin':'lolz','foo':'kitty'}"转换成字典？

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在我看来,这是最短最简单的方式......绝对是我个人喜欢的方式.

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@technazi：json.loads（h.replace（“'”，'“'））

4> lqhcpsgbl..：

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以OP为例:

s = "{'muffin' : 'lolz', 'foo' : 'kitty'}"

我们可以使用Yaml来处理字符串中的这种非标准json:

>>> import yaml
>>> s = "{'muffin' : 'lolz', 'foo' : 'kitty'}"
>>> s
"{'muffin' : 'lolz', 'foo' : 'kitty'}"
>>> yaml.load(s)
{'muffin': 'lolz', 'foo': 'kitty'}

5> Blixt..：

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如果字符串总是可以信任的,你可以使用eval(或者literal_eval按照建议使用;无论字符串是什么,它都是安全的.)否则你需要一个解析器.如果JSON解析器(例如simplejson)只存储符合JSON方案的内容,则它将起作用.

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是的,这是一个很好的答案,但请注意,官方JSON不支持单引号字符串,如原始海报的示例中所示.

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从2.6开始,simplejson作为json模块包含在Python标准库中.

6> 小智..：

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使用json.该ast库消耗大量内存并且速度较慢.我有一个需要读取156Mb文本文件的进程.Ast转换字典延迟5分钟,json内存减少60%!

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但有其局限性:尝试转换字符串"{'foo':'bar',}"

7> Anatoly Alek..：

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总结一下：

import ast, yaml, json, timeit

descs=['short string','long string']
strings=['{"809001":2,"848545":2,"565828":1}','{"2979":1,"30581":1,"7296":1,"127256":1,"18803":2,"41619":1,"41312":1,"16837":1,"7253":1,"70075":1,"3453":1,"4126":1,"23599":1,"11465":3,"19172":1,"4019":1,"4775":1,"64225":1,"3235":2,"15593":1,"7528":1,"176840":1,"40022":1,"152854":1,"9878":1,"16156":1,"6512":1,"4138":1,"11090":1,"12259":1,"4934":1,"65581":1,"9747":2,"18290":1,"107981":1,"459762":1,"23177":1,"23246":1,"3591":1,"3671":1,"5767":1,"3930":1,"89507":2,"19293":1,"92797":1,"32444":2,"70089":1,"46549":1,"30988":1,"4613":1,"14042":1,"26298":1,"222972":1,"2982":1,"3932":1,"11134":1,"3084":1,"6516":1,"486617":1,"14475":2,"2127":1,"51359":1,"2662":1,"4121":1,"53848":2,"552967":1,"204081":1,"5675":2,"32433":1,"92448":1}']
funcs=[json.loads,eval,ast.literal_eval,yaml.load]

for  desc,string in zip(descs,strings):
    print('***',desc,'***')
    print('')
    for  func in funcs:
        print(func.__module__+' '+func.__name__+':')
        %timeit func(string)        
    print('')

结果：

*** short string ***

json loads:
4.47 µs ± 33.4 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)
builtins eval:
24.1 µs ± 163 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)
ast literal_eval:
30.4 µs ± 299 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)
yaml load:
504 µs ± 1.29 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)

*** long string ***

json loads:
29.6 µs ± 230 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)
builtins eval:
219 µs ± 3.92 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
ast literal_eval:
331 µs ± 1.89 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
yaml load:
9.02 ms ± 92.2 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)

结论：更喜欢json.loads

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除此之外，这对他的单引号字符串无效，这是他最初遇到的问题的一部分。性能从未被提及。