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?
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
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!
其他回答
这里有一些东西可以打印任何类型的嵌套字典,同时跟踪“父”字典。
dicList = list()
def prettierPrint(dic, dicList):
count = 0
for key, value in dic.iteritems():
count+=1
if str(value) == 'OrderedDict()':
value = None
if not isinstance(value, dict):
print str(key) + ": " + str(value)
print str(key) + ' was found in the following path:',
print dicList
print '\n'
elif isinstance(value, dict):
dicList.append(key)
prettierPrint(value, dicList)
if dicList:
if count == len(dic):
dicList.pop()
count = 0
prettierPrint(dicExample, dicList)
这是根据不同格式进行打印的一个很好的起点,就像op中指定的那样。你真正需要做的只是围绕打印块进行操作。注意,它将查看该值是否为'OrderedDict()'。这取决于你是否使用容器数据类型集合中的东西,你应该做这些故障保护,这样elif块不会因为它的名字而把它视为一个额外的字典。就像现在,一个例子字典
example_dict = {'key1': 'value1',
'key2': 'value2',
'key3': {'key3a': 'value3a'},
'key4': {'key4a': {'key4aa': 'value4aa',
'key4ab': 'value4ab',
'key4ac': 'value4ac'},
'key4b': 'value4b'}
将打印
key3a: value3a
key3a was found in the following path: ['key3']
key2: value2
key2 was found in the following path: []
key1: value1
key1 was found in the following path: []
key4ab: value4ab
key4ab was found in the following path: ['key4', 'key4a']
key4ac: value4ac
key4ac was found in the following path: ['key4', 'key4a']
key4aa: value4aa
key4aa was found in the following path: ['key4', 'key4a']
key4b: value4b
key4b was found in the following path: ['key4']
~修改代码以适应问题的格式~
lastDict = list()
dicList = list()
def prettierPrint(dic, dicList):
global lastDict
count = 0
for key, value in dic.iteritems():
count+=1
if str(value) == 'OrderedDict()':
value = None
if not isinstance(value, dict):
if lastDict == dicList:
sameParents = True
else:
sameParents = False
if dicList and sameParents is not True:
spacing = ' ' * len(str(dicList))
print dicList
print spacing,
print str(value)
if dicList and sameParents is True:
print spacing,
print str(value)
lastDict = list(dicList)
elif isinstance(value, dict):
dicList.append(key)
prettierPrint(value, dicList)
if dicList:
if count == len(dic):
dicList.pop()
count = 0
使用相同的示例代码,它将打印以下内容:
['key3']
value3a
['key4', 'key4a']
value4ab
value4ac
value4aa
['key4']
value4b
This isn't exactly what is requested in OP. The difference is that a parent^n is still printed, instead of being absent and replaced with white-space. To get to OP's format, you'll need to do something like the following: iteratively compare dicList with the lastDict. You can do this by making a new dictionary and copying dicList's content to it, checking if i in the copied dictionary is the same as i in lastDict, and -- if it is -- writing whitespace to that i position using the string multiplier function.
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': '',
},
}
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]]),
}
我必须传递默认参数,就像这样:
print(json.dumps(my_dictionary, indent=4, default=str))
如果你想要键排序,你可以这样做:
print(json.dumps(my_dictionary, sort_keys=True, indent=4, default=str))
为了修复此类型错误:
TypeError: Object of type 'datetime' is not JSON serializable
这是由于datetimes是字典中的一些值。
某物,我觉得很漂亮
def pretty(d, indent=0):
for key, value in d.iteritems():
if isinstance(value, dict):
print '\t' * indent + (("%30s: {\n") % str(key).upper())
pretty(value, indent+1)
print '\t' * indent + ' ' * 32 + ('} # end of %s #\n' % str(key).upper())
elif isinstance(value, list):
for val in value:
print '\t' * indent + (("%30s: [\n") % str(key).upper())
pretty(val, indent+1)
print '\t' * indent + ' ' * 32 + ('] # end of %s #\n' % str(key).upper())
else:
print '\t' * indent + (("%30s: %s") % (str(key).upper(),str(value)))