有一個json類型的數據:{"itemName": "Curing Start_Time", "itemValue": "2023/5/26 11:11:19"},如何提取出該json對象的值
时间: 2023-07-06 20:33:01 浏览: 38
提取出该 JSON 对象的值,可以使用 JSON 解析库或者一些编程语言内置的 JSON 解析函数。以下是使用 Python 语言的示例代码:
```python
import json
json_string = '{"itemName": "Curing Start_Time", "itemValue": "2023/5/26 11:11:19"}'
json_object = json.loads(json_string)
item_name = json_object['itemName']
item_value = json_object['itemValue']
print(item_name) # 输出:Curing Start_Time
print(item_value) # 输出:2023/5/26 11:11:19
```
首先将 JSON 字符串解析成 JSON 对象,然后通过对象的键名来获取对应的值。在本例中,`itemName` 的值为 `Curing Start_Time`,`itemValue` 的值为 `2023/5/26 11:11:19`。
相关问题
如何把[{"itemName": "Curing Start_Time", "itemValue": "2023/5/26 11:11:19"}, {"itemName": "Curing End_time", "itemValue": "2023/5/26 11:16:19"}, {"itemName": "UV_Light_power_Z", "itemValue": "500"}, {"itemName": "Cure_Temp", "itemValue": "23.7"}, {"itemName": "Cure Recipe", "itemValue": "A"}, {"itemName": "lampBulbResult", "itemValue": "OK"}, {"itemName": "bugRegion", "itemValue": "0"}, {"itemName": "bugTime", "itemValue": "0"}]這個text類型的數據轉換成數組
可以使用 PostgreSQL 中的 `jsonb_array_elements` 函数将 JSON 数组字符串转换为数组。具体操作可以参考以下示例:
```
-- 假设该 JSON 数组字符串存储在 my_table 表的 my_column 列中
SELECT jsonb_array_elements(my_table.my_column) AS my_array FROM my_table;
```
执行以上查询语句,即可将 JSON 数组字符串转换为数组。
需要注意的是,如果使用的是 PostgreSQL 9.3 或更低版本,则需要使用 `json_array_elements` 函数来实现相同的功能。
依据以下json数据:[{"itemData": [{"itemName": "试剂库存", "itemValue": 1153358.012366}, {"itemName": "试剂出货量", "itemValue": 676833.1751}, {"itemName": "IDO", "itemValue": 0}], "productLine": "CC"}, {"itemData": [{"itemName": "试剂库存", "itemValue": 234524.1}, {"itemName": "试剂出货量", "itemValue": 568881.1}, {"itemName": "IDO", "itemValue": 0}], "productLine": "IA"}, {"itemData": [{"itemName": "试剂库存", "itemValue": 1537.82}, {"itemName": "试剂出货量", "itemValue": 11892.0}, {"itemName": "IDO", "itemValue": 0}], "productLine": "IH"}, {"itemData": [{"itemName": "试剂库存 Total", "itemValue": 0}, {"itemName": "试剂出货量 Total", "itemValue": 0}, {"itemName": "试剂 Total IDO", "itemValue": -1}], "productLine": "Total"}]。生成可以序列化为这个结构的py代码
可以使用以下代码生成可以序列化为这个结构的 Python 代码:
```python
import json
data = [
{
"itemData": [
{"itemName": "试剂库存", "itemValue": 1153358.012366},
{"itemName": "试剂出货量", "itemValue": 676833.1751},
{"itemName": "IDO", "itemValue": 0}
],
"productLine": "CC"
},
{
"itemData": [
{"itemName": "试剂库存", "itemValue": 234524.1},
{"itemName": "试剂出货量", "itemValue": 568881.1},
{"itemName": "IDO", "itemValue": 0}
],
"productLine": "IA"
},
{
"itemData": [
{"itemName": "试剂库存", "itemValue": 1537.82},
{"itemName": "试剂出货量", "itemValue": 11892.0},
{"itemName": "IDO", "itemValue": 0}
],
"productLine": "IH"
},
{
"itemData": [
{"itemName": "试剂库存 Total", "itemValue": 0},
{"itemName": "试剂出货量 Total", "itemValue": 0},
{"itemName": "试剂 Total IDO", "itemValue": -1}
],
"productLine": "Total"
}
]
json_data = json.dumps(data)
print(json_data)
```
输出的结果如下:
```json
[{"itemData": [{"itemName": "试剂库存", "itemValue": 1153358.012366}, {"itemName": "试剂出货量", "itemValue": 676833.1751}, {"itemName": "IDO", "itemValue": 0}], "productLine": "CC"}, {"itemData": [{"itemName": "试剂库存", "itemValue": 234524.1}, {"itemName": "试剂出货量", "itemValue": 568881.1}, {"itemName": "IDO", "itemValue": 0}], "productLine": "IA"}, {"itemData": [{"itemName": "试剂库存", "itemValue": 1537.82}, {"itemName": "试剂出货量", "itemValue": 11892.0}, {"itemName": "IDO", "itemValue": 0}], "productLine": "IH"}, {"itemData": [{"itemName": "试剂库存 Total", "itemValue": 0}, {"itemName": "试剂出货量 Total", "itemValue": 0}, {"itemName": "试剂 Total IDO", "itemValue": -1}], "productLine": "Total"}]
```