@sc104501 感谢回复，“首先取温度，做 mean ，结果保存到 a1”就是这块不太会弄，之前这么写的，返回值就不是时间序列了，而是每个经纬度的平均值。

```
query = f"""
from(bucket: "xny_data")
|> range(start: {start_timestamp}, stop: {end_timestamp})
|> filter(fn: (r) => r["_measurement"] == "weatherData")
|> filter(fn: (r) => r["lat"] >= "20")
|> filter(fn: (r) => r["lon"] >= "119")
|> filter(fn: (r) => r["_field"] == "cloudcover")
|> mean()
"""
tables = query_api.query(query, org="xny")
for table in tables:
for record in table.records:
print(record)
```
返回值
```
[<FluxTable: 9 columns, 1 records>, <FluxTable: 9 columns, 1 records>]
```

```
FluxRecord() table: 0, {'result': '_result', 'table': 0, '_start': datetime.datetime(2020, 12, 31, 16, 0, tzinfo=tzutc()), '_stop': datetime.datetime(2021, 12, 31, 16, 0, tzinfo=tzutc()), '_field': 'cloudcover', '_measurement': 'weatherData', 'lat': '32', 'lon': '119', '_value': 43.14566210045662} FluxRecord() table: 1, {'result': '_result', 'table': 1, '_start': datetime.datetime(2020, 12, 31, 16, 0, tzinfo=tzutc()), '_stop': datetime.datetime(2021, 12, 31, 16, 0, tzinfo=tzutc()), '_field': 'cloudcover', '_measurement': 'weatherData', 'lat': '34', 'lon': '120', '_value': 39.43207762557078}
```