通过使用 python 将 json 数据拆分为块来检索特定数据

Question

如何在下面的 json 数据中获取“符号”数据？我正在使用 Python。

另外，如何用replace替换这个数据中的“}”对象？

[
{"symbol": "ZILUSDT", "positionAmt": "0", "entryPrice": "0.00000", "markPrice": "0.01728152", "unRealizedProfit": "0.00000000", "liquidationPrice": "0", "leverage": "20", "maxNotionalValue": "25000", "marginType": "cross", "isolatedMargin": "0.00000000", "isAutoAddMargin": "false", "positionSide": "SHORT"}, 
{"symbol": "FLMUSDT", "positionAmt": "0", "entryPrice": "0.0000", "markPrice": "0.00000000", "unRealizedProfit": "0.00000000", "liquidationPrice": "0", "leverage": "20", "maxNotionalValue": "25000", "marginType": "cross", "isolatedMargin": "0.00000000", "isAutoAddMargin": "false", "positionSide": "BOTH"}, 
{"symbol": "FLMUSDT", "positionAmt": "0", "entryPrice": "0.0000", "markPrice": "0.00000000", "unRealizedProfit": "0.00000000", "liquidationPrice": "0", "leverage": "20", "maxNotionalValue": "25000", "marginType": "cross", "isolatedMargin": "0.00000000", "isAutoAddMargin": "false", "positionSide": "LONG"}, 
{"symbol": "FLMUSDT", "positionAmt": "0", "entryPrice": "0.0000", "markPrice": "0.00000000", "unRealizedProfit": "0.00000000", "liquidationPrice": "0", "leverage": "20", "maxNotionalValue": "25000", "marginType": "cross", "isolatedMargin": "0.00000000", "isAutoAddMargin": "false", "positionSide": "SHORT"}
]

Answer 1

您可以在将字典列表加载为 JSON 后对其进行迭代（假设它是 d）：

print(*[x['symbol'] for x in d],sep="\n")

可读方式：

for x in d:
  print(x['symbol'])

从文件加载：

import json
with open('json.txt') as f:
  d = json.load(f)

Answer 2

这是一个字典列表。

import json

with open('myfile.json') as file:
    items = json.load(file)

for item in items:
    print(item['symbol'])

Answer 3

要读取 json 数据，请使用 json.load() 函数。

# Python program to read 
# json file 


import json 

# Opening JSON file 
f = open('data.json',) 

# returns JSON object as 
# a dictionary 
data = json.load(f) 

# Iterating through the json 
# list 
for i in data['symbol']: 
    print(i) 

# Closing file 
f.close() 

来源https://www.geeksforgeeks.org/read-json-file-using-python/