统计手机号耗费的总上行流量下行流量总流量 (序列化)
时间: 2023-12-13 20:31:50 浏览: 63
假设有如下数据:
| 手机号 | 上行流量 | 下行流量 |
| ----------- | -------- | -------- |
| 13926251106 | 100MB | 200MB |
| 15013685858 | 50MB | 150MB |
| 13560439658 | 80MB | 120MB |
| 13602846565 | 60MB | 180MB |
可以将每个手机号对应的数据封装成一个对象,再将所有对象序列化成一个字符串,例如使用JSON格式:
```json
[
{"phone_number": "13926251106", "uplink_flow": "100MB", "downlink_flow": "200MB"},
{"phone_number": "15013685858", "uplink_flow": "50MB", "downlink_flow": "150MB"},
{"phone_number": "13560439658", "uplink_flow": "80MB", "downlink_flow": "120MB"},
{"phone_number": "13602846565", "uplink_flow": "60MB", "downlink_flow": "180MB"}
]
```
在计算总上行流量下行流量总流量时,可以将JSON数据反序列化为对象数组,对每个对象的上行流量和下行流量进行累加,得到总上行流量、总下行流量和总流量。例如,使用Python代码实现:
```python
import json
data = '[{"phone_number": "13926251106", "uplink_flow": "100MB", "downlink_flow": "200MB"},{"phone_number": "15013685858", "uplink_flow": "50MB", "downlink_flow": "150MB"},{"phone_number": "13560439658", "uplink_flow": "80MB", "downlink_flow": "120MB"},{"phone_number": "13602846565", "uplink_flow": "60MB", "downlink_flow": "180MB"}]'
objects = json.loads(data)
total_uplink = 0
total_downlink = 0
for obj in objects:
uplink = int(obj["uplink_flow"].replace("MB", ""))
downlink = int(obj["downlink_flow"].replace("MB", ""))
total_uplink += uplink
total_downlink += downlink
total_flow = total_uplink + total_downlink
print("总上行流量:{}MB".format(total_uplink))
print("总下行流量:{}MB".format(total_downlink))
print("总流量:{}MB".format(total_flow))
```
输出结果:
```
总上行流量:290MB
总下行流量:650MB
总流量:940MB
```