OPCUA Tools for Python using Pandas DataFrames
Project description
opcua-tools
Python/pandas-based tools for OPC UA information models. OPC UA information models are represented and manipulated in Pandas Dataframes. There is a parser from NodeSet2 XML files, functions for manipulating/extracting information from information models and a NodeSet2 generator. There are some general tests here, but most of the testing is indirect through its use in quarry and other internal tools.
Installation
To install, run this command:
pip install git+https://github.com/PrediktorAS/opcua-tools.git
Usage
Forthcoming... see the test cases.
License
The code in this repository is copyrighted to Prediktor AS, and is licensed under the Apache 2.0 license.
Exceptions apply to some of the test data and static files for parsing/generation (see document headers for license information).
Author: Magnus Bakken
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