pyflux | Just an InfluxDb test
kandi X-RAY | pyflux Summary
kandi X-RAY | pyflux Summary
Just an InfluxDb test using Docker and Python.
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Top functions reviewed by kandi - BETA
- Return a metric object .
- Get UTC timestamp .
- Get current CPU percent
- Return the machine name .
pyflux Key Features
pyflux Examples and Code Snippets
Community Discussions
Trending Discussions on pyflux
QUESTION
I am trying to estimate an ARIMAX model with p=96 and q=96 as only non-zero coefficients (meaning all lag orders <96 have coefficient zero). The doc of statsmodels.tsa.arima.model.ARIMA¶ states that a list can be supplied for the lag orders p and q. I first tried this using the code below.
...ANSWER
Answered 2021-May-30 at 17:26It looks like you are using the old model. You need to do either:
QUESTION
When I try installing PyFlux for Python 3.7, I get errors. When pip install pyflux
, I get a long error message stating "ERROR: Command errored out with exit status 1:...". When using conda install pyflux
, I get another error:
Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
- pyflux
Current channels:
- https://repo.anaconda.com/pkgs/main/win-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/win-64
- https://repo.anaconda.com/pkgs/r/noarch
- https://repo.anaconda.com/pkgs/msys2/win-64
- https://repo.anaconda.com/pkgs/msys2/noarch
To search for alternate channels that may provide the conda package you're looking for, navigate to
...
ANSWER
Answered 2020-Mar-10 at 12:39Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install pyflux
You can use pyflux like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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