- `Line Protocol <https://docs.influxdata.com/influxdb/v1.6/write_protocols/line_protocol_tutorial>`_

- `Data Point <https://github.com/influxdata/influxdb-client-python/blob/master/influxdb_client/client/write/point.py#L16>`__

- `RxPY <https://rxpy.readthedocs.io/en/latest/>`__ Observable

- `How to writes <#writes>`_

- `InfluxDB 2.0 API <https://github.com/influxdata/influxdb/blob/master/http/swagger.yml>`_ client for management

- the client is generated from the `swagger <https://github.com/influxdata/influxdb/blob/master/http/swagger.yml>`_ by using the `openapi-generator <https://github.com/OpenAPITools/openapi-generator>`_

The first example shows how to use client capabilities to predict stock price via `Keras <https://keras.io>`_, `TensorFlow <https://www.tensorflow.org>`_, `sklearn <https://scikit-learn.org/stable/>`_:

* sources - `stock-predictions.ipynb <notebooks/stock-predictions.ipynb>`_

Result:

The second example shows how to use client capabilities to realtime visualization via `hvPlot <https://hvplot.pyviz.org>`_, `Streamz <https://streamz.readthedocs.io/en/latest/>`_, `RxPY <https://rxpy.readthedocs.io/en/latest/>`_:

* sources - `realtime-stream.ipynb <notebooks/realtime-stream.ipynb>`_

Advanced Usage

from influxdb_client.client.influxdb_client import InfluxDBClient

from influxdb_client.client.write.point import Point

self.default_headers[header_name] = header_value

self.cookie = cookie

# Set default User-Agent.

def __del__(self):

if self._pool:

"OS: {env}\n"\

"Python Version: {pyversion}\n"\

"Version of the API: 0.1.0\n"\

format(env=sys.platform, pyversion=sys.version)

def update_request_header_params(self, path: str, params: dict):

<packageName>influxdb_client</packageName>

<sourceFolder>/</sourceFolder>

<validatable>false</validatable>

</configOptions>

<generateModelDocumentation>false</generateModelDocumentation>

<generateApiDocumentation>false</generateApiDocumentation>