使用这个函数:

def pretty_dict(d, n=1):
    for k in d:
        print(" "*n + k)
        try:
            pretty_dict(d[k], n=n+4)
        except TypeError:
            continue

这样叫它:

pretty_dict(mydict)

你可以通过PyYAML尝试YAML。它的输出可以微调。我建议从以下开始:

print(yaml.dump(data, allow_unicode=True, default_flow_style=False))

结果非常易读;如果需要，还可以解析回Python。

编辑:

例子:

>>> import yaml
>>> data = {'a':2, 'b':{'x':3, 'y':{'t1': 4, 't2':5}}}
>>> print(yaml.dump(data, default_flow_style=False))
a: 2
b:
  x: 3
  y:
    t1: 4
    t2: 5

prettyformatter

免责声明:我是该软件包的作者。

有关与其他格式化程序的比较，请参阅其他格式化程序。

---

格式化

不像pprint。Pprint, prettyformatter更多地垂直传播，并尝试更多地对齐项目。

与json。转储，prettyformatter通常更紧凑，并尝试在合理的地方对齐字典值。

from prettyformatter import pprint

batters = [
    {"id": "1001", "type": "Regular"},
    {"id": "1002", "type": "Chocolate"},
    {"id": "1003", "type": "Blueberry"},
    {"id": "1004", "type": "Devil's Food"},
]

toppings = [
    {"id": "5001", "type": None},
    {"id": "5002", "type": "Glazed"},
    {"id": "5005", "type": "Sugar"},
    {"id": "5007", "type": "Powdered Sugar"},
    {"id": "5006", "type": "Chocolate with Sprinkles"},
    {"id": "5003", "type": "Chocolate"},
    {"id": "5004", "type": "Maple"},
]

data = {"id": "0001", "type": "donut", "name": "Cake", "ppu": 0.55, "batters": batters, "topping": toppings}

pprint(data)

输出:

{
    "id"    : "0001",
    "type"  : "donut",
    "name"  : "Cake",
    "ppu"   : 0.55,
    "batters":
        [
            {"id": "1001", "type": "Regular"},
            {"id": "1002", "type": "Chocolate"},
            {"id": "1003", "type": "Blueberry"},
            {"id": "1004", "type": "Devil's Food"},
        ],
    "topping":
        [
            {"id": "5001", "type": None},
            {"id": "5002", "type": "Glazed"},
            {"id": "5005", "type": "Sugar"},
            {"id": "5007", "type": "Powdered Sugar"},
            {"id": "5006", "type": "Chocolate with Sprinkles"},
            {"id": "5003", "type": "Chocolate"},
            {"id": "5004", "type": "Maple"},
        ],
}

---

特性

请在这里查看完整的文档。

JSON

不像pprint。pprint, prettyformatter通过JSON =True参数支持JSON转换。这包括将None更改为null, True更改为True, False更改为False，以及正确使用引号。

与json。转储，prettyformatter支持更多数据类型的JSON强制。这包括将任何数据类或映射更改为字典，将任何可迭代对象更改为列表。

from dataclasses import dataclass

from prettyformatter import PrettyDataclass, pprint


@dataclass(unsafe_hash=True)
class Point(PrettyDataclass):
    x: int
    y: int


pprint((Point(1, 2), Point(3, 4)), json=True)

输出:

[{"x": 1, "y": 2}, {"x": 3, "y": 4}]

定制

不像pprint。Pprint或json。转储，prettyformatter支持轻松定制附加类型。

为一个prettyformatter实现__pargs__和/或__pkwargs__方法。PrettyClass子类允许用户以“cls_name(*args， **kwargs)”的形式轻松地自定义类。

from prettyformatter import PrettyClass


class Dog(PrettyClass):

    def __init__(self, name, **kwargs):
        self.name = name

    def __pkwargs__(self):
        return {"name": self.name}


print(Dog("Fido"))
"""
Dog(name="Fido")
"""

print(Dog("Fido"), json=True)
"""
{"name": "Fido"}
"""

实现__pformat__方法可以实现更具体的pformat函数。

实现@prettyformatter。Register函数还允许以与实现__pformat__相同的方式自定义已经存在的类。

import numpy as np
from prettyformatter import pprint, register

@register(np.ndarray)
def pformat_ndarray(obj, specifier, depth, indent, shorten, json):
    if json:
        return pformat(obj.tolist(), specifier, depth, indent, shorten, json)
    with np.printoptions(formatter=dict(all=lambda x: format(x, specifier))):
        return repr(obj).replace("\n", "\n" + " " * depth)

pprint(dict.fromkeys("ABC", np.arange(9).reshape(3, 3)))

输出:

{
    "A":
        array([[0, 1, 2],
               [3, 4, 5],
               [6, 7, 8]]),
    "B":
        array([[0, 1, 2],
               [3, 4, 5],
               [6, 7, 8]]),
    "C":
        array([[0, 1, 2],
               [3, 4, 5],
               [6, 7, 8]]),
}

我不确定你到底想要什么样的格式，但你可以从这样一个函数开始:

def pretty(d, indent=0):
   for key, value in d.items():
      print('\t' * indent + str(key))
      if isinstance(value, dict):
         pretty(value, indent+1)
      else:
         print('\t' * (indent+1) + str(value))

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'):
}

使用这个函数:

def pretty_dict(d, n=1):
    for k in d:
        print(" "*n + k)
        try:
            pretty_dict(d[k], n=n+4)
        except TypeError:
            continue

这样叫它:

pretty_dict(mydict)