哈囉,由於JSON系列的第一篇(寫給自己的技術筆記 - 作為程式開發者我們絕對不能忽略的JSON - 教學和用法 - 以JavaScript為例(一))已經針對JSON做過介紹了,所以這篇就不會再詳細介紹JSON囉,這篇會把重點放在如何使用Python來處理JSON檔案
- JSON 全名為 JavaScript Object Notation,即 JavaScript 對象標記法
- 2001年提出
- 特性:
- 輕量型(Light-Weight): 表示產出的檔案非常小
- 基於文本的(Text-Based): 可以使用文本編譯器(ex. 記事本)開啟
- 可讀的(Human-Readable)格式: 可以輕鬆被人閱讀
- 穩定性(Stability): JSON創始人說 JSON 格式永遠不會改變,也就是說很久以前寫的 JSON 文件,很久以後也能使用,就不會有兼容性的問題
- 目前 REST API 的主流形式,可見它在數據交換格式的重要性
- json套件: Python中用來編碼和解碼JSON文件的套件
- json套件為Python中自帶的套件,所以不用額外安裝,只需要直接載入即可
Python | JSON |
---|---|
dict | object |
list, tuple | array |
str, unicode | string |
int, long, float | number |
True | true |
False | false |
None | none |
JSON | Python |
---|---|
object | dict |
array | list |
string | unicode |
number(int) | long, int |
number(real) | float |
true | True |
false | False |
null | None |
處理過程分成:
- Marshalling / Encoder 序列化: 代表將 Python 的物件資料轉換成為 JSON 物件,使用方法 - json.dumps 或 json.dump
- Unmarshalling / Decoder 反序列化: 代表將 JSON 物件轉換成為 Python 的資料物件,使用方法 - json.loads 或 json.load
使用方法
函數 | 說明 |
---|---|
json.dumps | 將Python對象(Object)編碼成JSON格式的字符串 |
json.dump | 將Python字典轉成JSON後,寫入JSON文件 |
json.loads | 將JSON字符串解碼成為Python對象(Object) |
json.load | 直接讀取JSON文件,並轉成Python字典 |
完整參數
- json.dumps
dumps(obj, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw)
- json.dump
dump(obj, fp, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw)
- json.loads
loads(s, *, encoding=None, cls=None, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, object_pairs_hook=None, **kw)
- json.load
load(fp, *, cls=None, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, object_pairs_hook=None, **kw)
- 我們有一份JSON擋 - test.json
{
"Student 1": {
"Student_id": 126,
"Name": "Jack",
"Score": 99,
"Friends": ["Tim", "Jen", "Ken"]
},
"Student 2": {
"Student_id": 128,
"Name": "Ken",
"Score": 99,
"Friends": ["Jack", "Jessy", "Cathy"]
}
}
- 方法一: json.load
import json
## 讀取JSON檔
with open('test.json', 'r') as f:
## 轉成Python Dict
python_dict = json.load(fp = f)
print("Python Dict: ", python_dict)
print("Type: ", type(python_dict))
Python Dict: {'Student 1': {'Student_id': 126, 'Name': 'Jack', 'Score': 99, 'Friends': ['Tim', 'Jen', 'Ken']}, 'Student 2': {'Student_id': 128, 'Name': 'Ken', 'Score': 99, 'Friends': ['Jack', 'Jessy', 'Cathy']}}
Type: <class 'dict'>
- 方法二: json.loads
import json
## 讀取JSON檔
with open('test.json', 'r') as f:
## 將內容裝進text
text = f.read()
print("JSON Format: ", text)
print("Type: ", type(text))
print("From JSON String Transform To Python Dict")
print("Python Dict: ", json.loads(text))
print("Type: ", type(json.loads(text)))
JSON Format: {
"Student 1": {
"Student_id": 126,
"Name": "Jack",
"Score": 99,
"Friends": ["Tim", "Jen", "Ken"]
},
"Student 2": {
"Student_id": 128,
"Name": "Ken",
"Score": 99,
"Friends": ["Jack", "Jessy", "Cathy"]
}
}
Type: <class 'str'>
From JSON String Transform To Python Dict
Python Dict: {'Student 1': {'Student_id': 126, 'Name': 'Jack', 'Score': 99, 'Friends': ['Tim', 'Jen', 'Ken']}, 'Student 2': {'Student_id': 128, 'Name': 'Ken', 'Score': 99, 'Friends': ['Jack', 'Jessy', 'Cathy']}}
Type: <class 'dict'>
- 只能使用json.loads
import json
## JSON Format的字符串
text = '{"Name":"Jack", "Score": 99}'
print("JSON Format: ", text)
print("Type:, "type(text))
print("From JSON String Transform To Python Dict")
print("Python Dict: ", json.loads(text))
print("Type: ", type(json.loads(text)))
JSON Format: {"Name":"Jack", "Score": 99}
Type: <class 'str'>
From JSON String Transform To Python Dict
Python Dict: {'Name': 'Jack', 'Score': 99}
Type: <class 'dict'>
- 方法一: json.dump
import json
## Python 字典
python_dict = {
'Name': "Jack",
'Score': 99
}
## 存成JSON File
with open("python2json.json", 'w') as f:
json.dump(python_dict, f)
- 方法二: json.dumps
import json
## Python 字典
python_dict = {
'Name': "Jack",
"Score": 99,
}
print("Python Dict: ", python_dict)
print("Type: ", type(python_dict))
print("From Python Dict Transform To JSON Format")
print("JSON Format: ", json.dumps(python_dict))
print("Type: ", type(json.dumps(python_dict)))
## 存成JSON File
with open('python2json1.json', 'w') as f:
f.write(json.dumps(python_dict))
Python Dict: {'Name': 'Jack', 'Score': 99}
Type: <class 'dict'>
From Python Dict Transform To JSON Format
JSON Format: {"Name": "Jack", "Score": 99}
Type: <class 'str'>
- 只能使用函數: json.dumps
import json
## Python 字典
python_dict = {
'Name': "Jack",
"Score": 99,
}
print("Python Dict: ", python_dict)
print("Type: ", type(python_dict))
print("From Python Dict Transform To JSON Format")
print("JSON Format: ", json.dumps(python_dict))
print("Type: ", type(json.dumps(python_dict)))
Python Dict: {'Name': 'Jack', 'Score': 99}
Type: <class 'dict'>
From Python Dict Transform To JSON Format
JSON Format: {"Name": "Jack", "Score": 99}
Type: <class 'str'>
- 範例: 這邊是使用dumps來存進檔案
import json
## Python 字典
python_dict = {
"Student A": {
"Student_id": 126,
"Name": "Jack",
"Score": 99,
"Friends": ["Tim", "Jen", "Cindy"]
},
"Student B":{
"Student_id": 128,
"Name": "Ken",
"Score": 98,
"Friends": ["Jack", "Jessy", "Cathy"]
}
}
print("Python Dict: ", python_dict)
print("Type: ", type(python_dict))
print("From Python Dict Transform To JSON Format")
print("JSON Format: ", json.dumps(python_dict))
print("Type: ", type(json.dumps(python_dict)))
## 存成JSON File
with open('python2json2.json', 'w') as f:
f.write(json.dumps(python_dict))
Python Dict: {'Student A': {'Student_id': 126, 'Name': 'Jack', 'Score': 99, 'Friends': ['Tim', 'Jen', 'Cindy']}, 'Student B': {'Student_id': 128, 'Name': 'Ken', 'Score': 98, 'Friends': ['Jack', 'Jessy', 'Cathy']}}
Type: <class 'dict'>
From Python Dict Transform To JSON Format
JSON Format: {"Student A": {"Student_id": 126, "Name": "Jack", "Score": 99, "Friends": ["Tim", "Jen", "Cindy"]}, "Student B": {"Student_id": 128, "Name": "Ken", "Score": 98, "Friends": ["Jack", "Jessy", "Cathy"]}}
Type: <class 'str'>
大家也可以試試用json.dump的方式存成JSON檔喔
-
前面的範例中,當我們把Python Dict轉成JSON Format的字符串時,都會變成一排(行),但實際上的狀況是我們需要閱讀這些JSON檔,如果數據一多就會很難閱讀
-
在json.dumps()裡面填上一個參數indent,用來指定每行開頭要空幾格
-
範例一: 我將indent設4,代表空四格
import json
## Python 字典
python_dict = {
'Name': "Jack",
"Score": 99,
}
print("Python Dict: ", python_dict)
print("Type: ", type(python_dict))
print("From Python Dict Transform To JSON Format")
print("JSON Format: ", json.dumps(python_dict))
print("Type: ", type(json.dumps(python_dict)))
## 存成JSON File
with open('python2json3.json', 'w') as f:
f.write(json.dumps(python_dict, indent = 4))
Python Dict: {'Name': 'Jack', 'Score': 99}
Type: <class 'dict'>
From Python Dict Transform To JSON Format
JSON Format: {"Name": "Jack", "Score": 99}
Type: <class 'str'>
-
json.dump也擁有參數indent喔
-
範例二:
import json
## Python 字典
python_dict = {
"Student A": {
"Student_id": 126,
"Name": "Jack",
"Score": 99,
"Friends": ["Tim", "Jen", "Cindy"]
},
"Student B":{
"Student_id": 128,
"Name": "Ken",
"Score": 98,
"Friends": ["Jack", "Jessy", "Cathy"]
}
}
print("Python Dict: ", python_dict)
print("Type: ", type(python_dict))
print("From Python Dict Transform To JSON Format")
print("JSON Format: ", json.dumps(python_dict))
print("Type: ", type(json.dumps(python_dict)))
## 存成JSON File
with open('python2json4.json', 'w') as f:
f.write(json.dumps(python_dict, indent = 4))
f.write('\n')
Python Dict: {'Student A': {'Student_id': 126, 'Name': 'Jack', 'Score': 99, 'Friends': ['Tim', 'Jen', 'Cindy']}, 'Student B': {'Student_id': 128, 'Name': 'Ken', 'Score': 98, 'Friends': ['Jack', 'Jessy', 'Cathy']}}
Type: <class 'dict'>
From Python Dict Transform To JSON Format
JSON Format: {"Student A": {"Student_id": 126, "Name": "Jack", "Score": 99, "Friends": ["Tim", "Jen", "Cindy"]}, "Student B": {"Student_id": 128, "Name": "Ken", "Score": 98, "Friends": ["Jack", "Jessy", "Cathy"]}}
Type: <class 'str'>