influxdb python连接器

使用influxdb-client库可以在Python中连接和操作InfluxDB数据库。首先，需要使用pip命令安装influxdb-client库，可以使用以下命令进行安装：

pip install influxdb-client

然后，可以使用该库提供的InfluxDBClient类进行连接和操作。具体连接和写入数据的示例代码如下所示：

from datetime import datetime
from influxdb_client import InfluxDBClient, Point, WritePrecision
from influxdb_client.client.write_api import SYNCHRONOUS

# 定义连接参数
token = "UD3qST2Zu57fMZVmxaFTIxAhp6XA_CXt7YuUyQouyYfoAJtpAkH_CzmHP6B＊＊＊GY-XDAJVCthTClSLz0j2eg_Cg=="
org = "xuehu96"
bucket = "test"

# 创建InfluxDBClient实例
with InfluxDBClient(url="http://IP:8086", token=token, org=org) as client:
    # 创建写入API
    write_api = client.write_api(write_options=SYNCHRONOUS)

    # 写入数据的三种方法示例
    data = "mem,host=host1 used_percent=23.43234543"
    write_api.write(bucket, org, data)

    point = Point("mem") \
        .tag("host", "host1") \
        .field("used_percent", 24.43234543) \
        .time(datetime.utcnow(), WritePrecision.NS)
    write_api.write(bucket, org, point)

    sequence = ["mem,host=host1 used_percent=25.43234543", "mem,host=host1 available_percent=15.856523"]
    write_api.write(bucket, org, sequence)

    # TODO: 在此处添加查询操作

    # 关闭连接
    client.close()

以上代码示例了如何使用influxdb-client库连接InfluxDB数据库，并使用写入API将数据写入到指定的桶(bucket)中。可以根据需要选择适合的写入方法。在此示例中，还展示了如何关闭连接。

请注意，代码中的一些参数需要根据实际情况进行替换，比如IP、token、org和bucket等。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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