将数据从influxdb导出到dataframe，然后使用python将其存储在mf4文件中

import influxdb
import pandas as pd
import mdfreader

client = influxdb.InfluxDBClient(host='localhost', port=8086, username='your_username', password='your_password', database='your_database')

query = 'SELECT * FROM measurement_name LIMIT 1000'  # 替换为你的测量名和查询条件
result = client.query(query)

dataframe = pd.DataFrame(result.get_points())

!pip install mdfreader

mdf = mdfreader.mdf(dataframe)
mdf.save('output.mf4')

import influxdb
import pandas as pd
import mdfreader

# 连接到InfluxDB数据库并查询数据
client = influxdb.InfluxDBClient(host='localhost', port=8086, username='your_username', password='your_password', database='your_database')
query = 'SELECT * FROM measurement_name LIMIT 1000'  # 替换为你的测量名和查询条件
result = client.query(query)

# 将查询结果转换为DataFrame
dataframe = pd.DataFrame(result.get_points())

# 安装并使用MDFReader库将DataFrame数据存储为MF4文件
!pip install mdfreader
mdf = mdfreader.mdf(dataframe)
mdf.save('output.mf4')