最简单的方法是安装IPython并使用如下所示的方法

from IPython.lib.pretty import pretty


class MyClass:
    __repr__(self):
       return pretty(data)  # replace data with what makes sense

在你的情况下

print(pretty(mydict))

我的第一个想法是JSON序列化器可能很擅长嵌套字典，所以我会欺骗并使用它:

>>> import json
>>> print(json.dumps({'a':2, 'b':{'x':3, 'y':{'t1': 4, 't2':5}}},
...                  sort_keys=True, indent=4))
{
    "a": 2,
    "b": {
        "x": 3,
        "y": {
            "t1": 4,
            "t2": 5
        }
    }
}

yapf的另一个选择:

from pprint import pformat
from yapf.yapflib.yapf_api import FormatCode

dict_example = {'1': '1', '2': '2', '3': [1, 2, 3, 4, 5], '4': {'1': '1', '2': '2', '3': [1, 2, 3, 4, 5]}}
dict_string = pformat(dict_example)
formatted_code, _ = FormatCode(dict_string)

print(formatted_code)

输出:

{
    '1': '1',
    '2': '2',
    '3': [1, 2, 3, 4, 5],
    '4': {
        '1': '1',
        '2': '2',
        '3': [1, 2, 3, 4, 5]
    }
}

下面是我根据sth的注释写的函数。它的工作原理与json相同。转储与缩进，但我使用制表符而不是缩进的空间。在Python 3.2+中，您可以直接将缩进指定为'\t'，但在2.7中不能。

def pretty_dict(d):
    def pretty(d, indent):
        for i, (key, value) in enumerate(d.iteritems()):
            if isinstance(value, dict):
                print '{0}"{1}": {{'.format( '\t' * indent, str(key))
                pretty(value, indent+1)
                if i == len(d)-1:
                    print '{0}}}'.format( '\t' * indent)
                else:
                    print '{0}}},'.format( '\t' * indent)
            else:
                if i == len(d)-1:
                    print '{0}"{1}": "{2}"'.format( '\t' * indent, str(key), value)
                else:
                    print '{0}"{1}": "{2}",'.format( '\t' * indent, str(key), value)
    print '{'
    pretty(d,indent=1)
    print '}'

Ex:

>>> dict_var = {'a':2, 'b':{'x':3, 'y':{'t1': 4, 't2':5}}}
>>> pretty_dict(dict_var)
{
    "a": "2",
    "b": {
        "y": {
            "t2": "5",
            "t1": "4"
        },
        "x": "3"
    }
}

This class prints out a complex nested dictionary with sub dictionaries and sub lists.  
##
## Recursive class to parse and print complex nested dictionary
##

class NestedDictionary(object):
    def __init__(self,value):
        self.value=value

    def print(self,depth):
        spacer="--------------------"
        if type(self.value)==type(dict()):
            for kk, vv in self.value.items():
                if (type(vv)==type(dict())):
                    print(spacer[:depth],kk)
                    vvv=(NestedDictionary(vv))
                    depth=depth+3
                    vvv.print(depth)
                    depth=depth-3
                else:
                    if (type(vv)==type(list())):
                        for i in vv:
                            vvv=(NestedDictionary(i))
                            depth=depth+3
                            vvv.print(depth)
                            depth=depth-3
                    else:
                        print(spacer[:depth],kk,vv) 

##
## Instatiate and execute - this prints complex nested dictionaries
## with sub dictionaries and sub lists
## 'something' is a complex nested dictionary

MyNest=NestedDictionary(weather_com_result)
MyNest.print(0)

我写了这段简单的代码，用Python打印json对象的一般结构。

def getstructure(data, tab = 0):
    if type(data) is dict:
        print ' '*tab + '{' 
        for key in data:
            print ' '*tab + '  ' + key + ':'
            getstructure(data[key], tab+4)
        print ' '*tab + '}'         
    elif type(data) is list and len(data) > 0:
        print ' '*tab + '['
        getstructure(data[0], tab+4)
        print ' '*tab + '  ...'
        print ' '*tab + ']'

以下数据的结果

a = {'list':['a','b',1,2],'dict':{'a':1,2:'b'},'tuple':('a','b',1,2),'function':'p','unicode':u'\xa7',("tuple","key"):"valid"}
getstructure(a)

非常紧凑，看起来像这样:

{
  function:
  tuple:
  list:
    [
      ...
    ]
  dict:
    {
      a:
      2:
    }
  unicode:
  ('tuple', 'key'):
}