rainflow | Implementation of the rainflow-counting algorythm in Python | Computer Vision library

by iamlikeme Python Version: 3.2.0 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | rainflow Summary

rainflow is a Python library typically used in Artificial Intelligence, Computer Vision, Numpy applications. rainflow has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However rainflow build file is not available. You can install using 'pip install rainflow' or download it from GitHub, PyPI.

rainflow is a Python implementation of the ASTM E1049-85 rainflow cycle counting algorythm for fatigue analysis. Supports both Python 2 and 3.

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Quality

Security

License

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Support

rainflow has a low active ecosystem.

It has 81 star(s) with 31 fork(s). There are 16 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 22 have been closed. On average issues are closed in 30 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rainflow is 3.2.0

Quality

rainflow has 0 bugs and 1 code smells.

Security

rainflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rainflow code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

rainflow is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

rainflow releases are available to install and integrate.

Deployable package is available in PyPI.

rainflow has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

rainflow saves you 112 person hours of effort in developing the same functionality from scratch.

It has 372 lines of code, 16 functions and 3 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed rainflow and discovered the below as its top functions. This is intended to give you an instant insight into rainflow implemented functionality, and help decide if they suit your requirements.

Count the number of cycles in a series .
Extract cycles from series .
Generates reversals of series .
Returns a round function to round numbers .

Get all kandi verified functions for this library.

rainflow Key Features

No Key Features are available at this moment for rainflow.

rainflow Examples and Code Snippets

Running tests

Python

Lines of Code : 2

License : Permissive (MIT)

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pip install .[dev]
pytest

Community Discussions

Trending Discussions on rainflow

Installation of Rainflow algorithm for Octave

QUESTION

Installation of Rainflow algorithm for Octave

Asked 2021-Mar-17 at 03:52

I woud like to ask you a question regarding of installation of Rainflow package from this site: https://github.com/AmritaLonkar/rainflow-octave

I should be this https://de.mathworks.com/matlabcentral/fileexchange/3026-rainflow-counting-algorithm modified Matlab package for Octave, but it does not work. Installation is written here, but I am not able to do so. I am NOT a programmer, so I would like to ask you for help and detailed procedure of installation.

Compilation and installation for GNU Octave

Do the following to create a compiled mex-file from "rainflow.c" and to test the result: $ cd ./rainflow-octave$ make$ ls ./src/rainflow.mexrainflow.mex$ make test
Move files: rainflow.mex, rainflow.m and sig2ext.m to a place where GNU Octave can find them. Octave will locate oct- or mex- files automatically if they are in a directory listed in the search path. To figure out the search path, do: $ octaveoctave> path Octave's search path contain the following directories: . /usr/local/share/octave/site-m Please do not hesitate to ask more questions if needed.

Best regards Michal

My system

OS: e.g. **Windows 10
Octave version: e.g. Version 6.1.0
Installation method: e.g. Downloaded" from https://github.com/AmritaLonkar/rainflow-octave

...

ANSWER

Answered 2021-Feb-26 at 20:55

This worked for me. I'm on linux, but process should be the same on windows.

Source https://stackoverflow.com/questions/66391979

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install rainflow

rainflow is available [on PyPI](https://pypi.org/project/rainflow/):.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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