python判断json

❶ 如何使用 python 得到网页返回正确的 Json 数据

importjson
importrequests

defdemo():
url='http://api.demo.com'
params={
...
}
r=requests.get(url,params=params)
doc=json.loads(r.text)
print(doc）#这里doc就已经是转换为pythondict的json数据了

❷ 用python依次比较2个文件夹内的JSON文件的差异

这里假设题目里面提到的”单独两个JSON文件的比较方法“的函数是compare_two_files，它接受两个文件的文件名作为参数。

from pathlib import Path

def compare_two_folders(from_folder, to_folder):

from_folder = Path(from_folder)

to_folder = Path(to_folder)

for json_file in from_folder.glob('*.json'):

json_file_name = json_file.name

json_file_to_compare = to_folder / f'a{json_file_name}'

compare_tow_files(json_file, json_file_to_compare)

❸ 如何用python读取json里面的值啊

1、首先需要在桌面新建‘json.txt’文件，内容为jsonline格式。

❹ 如何用python读取json文件里指定的数据

importjson

withopen('who.json','r')asf:
data=json.load(f)
dependencies=data['dependencies']
fork,vindependencies.iteritems():
print(f'{k}@{v}')

❺ 濡备綍浣跨敤Python澶勭悊JSON鏁版嵁

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JSON镙煎纺鏁版嵁镄勭ず渚嬶细
{
"book1":{
"title": "Python Beginners",
"year": 2005 ,
"page": 399
},
"book2":{
"title": "Python Developers",
"year": 2006 ,
"page": 650
}
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import json
jsonData = '{"name": "Frank", "age": 39}'
jsonToPython = json.loads(jsonData)濡傛灉瑕佹煡鐪嬭緭鍑猴纴璇锋墽琛 print jsonToPython锛屽湪杩欑嶆儏鍐典笅锛屼綘灏呜幏寰椾互涓嬭緭鍑猴细
{'age': 39, 'name': 'Frank'}涔熷氨鏄璇达纴鏁版嵁浣滀负Python瀛楀吀锛圝SON瀵硅薄鏁版嵁缁撴瀯锛夎繑锲炪
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import json
pythonDictionary = {'name':'Bob', 'age':44, 'isEmployed':True}
dictionaryToJson = json.mps(pythonDictionary)濡傛灉鎴戜滑杩愯 print dictionaryToJson锛屾垜浠寰楀埌浠ヤ笅JSON鏁版嵁锛
{"age": 44, "isEmployed": true, "name": "Bob"}锲犳わ纴姝よ緭鍑鸿瑙嗕负瀵硅薄锛图ictionary锛夌殑鏁版嵁琛ㄧず銆傝ユ柟娉昫umps()鏄姝ょ被镎崭綔镄勫叧阌銆
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class Employee(object):
def __init__(self, name):
self.name = name锅囱炬垜浠鍒涘缓浜嗕竴涓鏂板硅薄abder锛屽备笅镓绀猴细
abder = Employee('Abder')濡傛灉鎴戜滑𨱍冲皢姝ゅ硅薄杞鎹涓筼SON锛岃ユ庝箞锷烇纻闾ｆ槸json.mps(abder)锛熷湪杩欑嶆儏鍐典笅锛屼綘灏嗘敹鍒扮被浼间簬浠ヤ笅鍐呭圭殑阌栾锛
Traceback (most recent call last):
File "test.py", line 8, in <mole>
abderJson = json.mps(abder)
File "/usr/local/Cellar/python/2.7.10_2/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/__init__.py", line 243, in mps
return _default_encoder.encode(obj)
File "/usr/local/Cellar/python/2.7.10_2/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 207, in encode
chunks = self.iterencode(o, _one_shot=True)
File "/usr/local/Cellar/python/2.7.10_2/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 270, in iterencode
return _iterencode(o, 0)
File "/usr/local/Cellar/python/2.7.10_2/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 184, in default
raise TypeError(repr(o) + " is not JSON serializable")
TypeError: <__main__.Employee object at 0x10e74b750> is not JSON serializable浣嗘槸锛屾湁瑙ｅ喅鏂规硶钖楋纻骞歌繍镄勬槸链夈傝佽В鍐虫ら梾棰桡纴鎴戜滑鍙浠ュ畾涔夌被浼间簬浠ヤ笅镄勬柟娉曪细
def jsonDefault(object):
return object.__dict__铹跺悗灏嗗硅薄缂栫爜涓筼SON锛屽备笅镓绀猴细
jsonAbder = json.mps(abder, default=jsonDefault)濡傛灉浣犺繍琛 print jsonAbder锛屼綘搴旇ュ缑鍒颁互涓嬭緭鍑猴细
{"name": "Abder"}鎴戜滑鐜板湪宸茬粡灏哖ython瀵硅薄锛坅bder锛夌紪镰佷负JSON銆

❻ 如何用Python解析Json文件

下面给出一个使用python解析json的简单例子：

#!/usr/bin/python
importjson
#Function:Analyzejsonscript
#,
#fordetail,pleasereferto"http://json.org/json-zh.html".

#Note:
#1.Also,,
#youshoulsempinsteadofload.pleaserreferto"help(json)".

#jsonfile:
#Thefilecontentoftemp.jsonis:
#{
#"name":"00_sample_case1",
#"description":"anexample."
#}
#f=file("temp.json");
#s=json.load(f)
#prints
#f.close

#jsonstring:
s=json.loads('{"name":"test","type":{"name":"seq","parameter":["1","2"]}}')
prints
prints.keys()
prints["name"]
prints["type"]["name"]
prints["type"]["parameter"][1]

❼ python json 资料判断 true 或 false

your_data_dict=json.loads(your_json_data_string)
#Heretogetadictionaryobject.

#Maybe,'test'

ifyour_data_dict['test']isTrue:
#dowhatyouwant
pass