如何在Python中漂亮地打印深度为~4的字典?我尝试用pprint()进行漂亮的打印,但它不起作用:

import pprint 
pp = pprint.PrettyPrinter(indent=4)
pp.pprint(mydict)

我只是想要一个缩进(“\t”)为每个嵌套,这样我就会得到这样的东西:

key1
    value1
    value2
    key2
       value1
       value2

等。

我该怎么做呢?


当前回答

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)

其他回答

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

通过这种方式,你可以打印在漂亮的方式,例如你的字典名字是yasin

import json

print (json.dumps(yasin, indent=2))

或者,更安全:

print (json.dumps(yasin, indent=2, default=str))

最python化的方法之一是使用已经构建的pprint模块。

定义打印深度所需的参数与您预期的深度相同

import pprint
pp = pprint.PrettyPrinter(depth=4)
pp.pprint(mydict)

就是这样!

这是我在编写一个需要在.txt文件中编写字典的类时想到的:

@staticmethod
def _pretty_write_dict(dictionary):

    def _nested(obj, level=1):
        indentation_values = "\t" * level
        indentation_braces = "\t" * (level - 1)
        if isinstance(obj, dict):
            return "{\n%(body)s%(indent_braces)s}" % {
                "body": "".join("%(indent_values)s\'%(key)s\': %(value)s,\n" % {
                    "key": str(key),
                    "value": _nested(value, level + 1),
                    "indent_values": indentation_values
                } for key, value in obj.items()),
                "indent_braces": indentation_braces
            }
        if isinstance(obj, list):
            return "[\n%(body)s\n%(indent_braces)s]" % {
                "body": "".join("%(indent_values)s%(value)s,\n" % {
                    "value": _nested(value, level + 1),
                    "indent_values": indentation_values
                } for value in obj),
                "indent_braces": indentation_braces
            }
        else:
            return "\'%(value)s\'" % {"value": str(obj)}

    dict_text = _nested(dictionary)
    return dict_text

现在,如果我们有一个这样的字典:

some_dict = {'default': {'ENGINE': [1, 2, 3, {'some_key': {'some_other_key': 'some_value'}}], 'NAME': 'some_db_name', 'PORT': '', 'HOST': 'localhost', 'USER': 'some_user_name', 'PASSWORD': 'some_password', 'OPTIONS': {'init_command': 'SET foreign_key_checks = 0;'}}}

我们这样做:

print(_pretty_write_dict(some_dict))

我们得到:

{
    'default': {
        'ENGINE': [
            '1',
            '2',
            '3',
            {
                'some_key': {
                    'some_other_key': 'some_value',
                },
            },
        ],
        'NAME': 'some_db_name',
        'OPTIONS': {
            'init_command': 'SET foreign_key_checks = 0;',
        },
        'HOST': 'localhost',
        'USER': 'some_user_name',
        'PASSWORD': 'some_password',
        'PORT': '',
    },
}

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)