influxdb-python
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influxdata
Python client for InfluxDB
hi there i'm just using the influxdbiox with rust server i found that the influxdbiox serve on 8080 with HTTP port and it also support for INFLUXDB LINE PORTOCOL, so,...
- **InfluxDB version:** e.g. 1.7.7 (output of the `influx version` command) - **InfluxDB-python version:** e.g. 5.2.2 (output of the `python -c "from __future__ import print_function; import influxdb; print(influxdb.__version__)"` command) -...
- **InfluxDB version:** influxdb:1.7-alpine - **InfluxDB-python version:** 5.3.1 - **Python version:** 3.8.5 - **Operating system version:** $ uname -a Linux 5.4.0-56-generic #62-Ubuntu SMP Mon Nov 23 19:20:19 UTC 2020 x86_64...
https://github.com/influxdata/influxdb-python/blob/7b0367309b118e8be97bd85af4433b25129a4618/influxdb/_dataframe_client.py#L291 https://github.com/influxdata/influxdb-python/blob/7b0367309b118e8be97bd85af4433b25129a4618/influxdb/_dataframe_client.py#L305 https://github.com/influxdata/influxdb-python/blob/7b0367309b118e8be97bd85af4433b25129a4618/influxdb/_dataframe_client.py#L375 https://github.com/influxdata/influxdb-python/blob/7b0367309b118e8be97bd85af4433b25129a4618/influxdb/_dataframe_client.py#L378 It is numpy issue not yours. There is no need to take a division in case of 'precision_time' has set to 'n' (nano second). If division...
I only enabled the syntax highlighting feature for python --- ##### Contributor checklist - [ ] Builds are passing - [ ] New tests have been added (for feature additions)
In #734, support was added to this python client for messagepack, but it does not match the serialization from influxdb for negative timestamps, because it interprets the timestamps as unsigned....
- InfluxDB version: 1.8.3 - InfluxDB-python version:5.3.1 - Python version:3.8.5 - Operating system version: Windows 10 I'm trying to push a data frame to InluxDB using line protocol, My code...
I have the following DataFrame and try to write into an InfluxDB-Measurement: ``` dataframe1 UNIQUE FK_TAG_ID VALUE TIME 2016-07-11 06:01:04 0 1694 326699.995995 2016-07-11 06:01:04 1 1694 325999.999046 2016-07-11 06:01:04...
- **InfluxDB version:** 1.7 - **InfluxDB-python version:** 5.3.0 - **Python version:** 3.5.9 - **Operating system version:** Ubuntu 18.04 Titled behaviour is caused by the following lines (275 ff) in `_convert_dataframe_to_json()`:...
>>> data = DataFrame.from_query("select trim(Dept_Num) DNum , trim(Budget_Amount) Bgt_Amount from dept") >>> data DNum Bgt_Amount 0 201 293800 1 302 226000 2 301 465600 >>> model.fit(data) 2020-10-29 23:14:27,178 - sdv.metadata.table...
