How to use Python to operate InfluxDB

To operate InfluxDB using Python, you need to install the Python library of InfluxDB. The installation command is as follows: pip install influxdb Then, you can use Python to operate InfluxDB for data addition, deletion, modification, and query operations according to the following example code. 1. Import the dependency library and create an InfluxDBClient connection: python from influxdb import InfluxDBClient client = InfluxDBClient(host='localhost', port=8086, username='your_username', password='your_password', database='your_database') 2. Add data: python json_body = [ { "measurement": "cpu_usage", "tags": { "host": "server01", "region": "us-west" }, "time": "2022-01-01T00:00:00Z", "fields": { "usage": 0.8 } } ] client.write_points(json_body) 3. Query data: python query = 'SELECT * FROM cpu_usage WHERE host = \'server01\'' result = client.query(query) points = result.get_points() for point in points: print(f"Time: {point['time']}, Host: {point['host']}, Usage: {point['usage']}") 4. Update data: python query = "UPDATE cpu_usage SET usage = 0.6 WHERE host = 'server01'" result = client.query(query) 5. Delete data: python query = "DELETE FROM cpu_usage WHERE host = 'server01'" result = client.query(query) This is a simple example code that you can modify and extend according to your own needs. Please note that the connection parameters in the example (such as host, username, password, database name) should be changed according to your actual environment.