Package: inqbus.rainflow
README======This package provides a cython optimized rainflow algorithm. Data can beprovided as hdf5-table or as numpy array.Installation------------For installing this package just run the setup.py.Requirements:* numpy* tables* pandas* cython* numexprOr use the pypi-package and install it via pip.pip install inqbus.rainflowExamples and Usage------------------There are examples included ininqbus.rainflow/src/inqbus/rainflow/examplesThe main mehtods are located and described ininqbus.rainflow/src/inqbus/rainflow/run_rainflowHISTORY=======1.5---* Corrected datatypes1.4---* api parameter to decide between counting from 1 or from 0 for binning the data1.1 - BugFixes--------------* Corrected classes when calculating binning as table because RFC classes always start counting on 0 .. max_bin, no negative classes anymore0.9 - BugFixes and Tests------------------------* BugFixes on counting pairs* Tests for core functions0.8 - BugFixes--------------* BugFixes to reduce differences between table and matrix of counted pairs0.7 - Remove small cycles option--------------------------------* During normal rainflow cycles like 1 to 1 can not exist, but with the classification afterwards small cycles will lead to such pairs. They will be removed now0.6 - Add Axis to matrix------------------------* You can store axis to matrix if you want using parameter axis0.5 - BugFixes--------------* Fixed Bug on filtering data with pairs0.4 - Added Matrix-calculation-------------------------------* User can decide between matrix and table format for classification* Added examples for both* BugFix in count-method* Style improvements* Filter outliers in binning0.2 - Syntax Improvement------------------------* Better documentation* Improved parameters of functions0.1 - Initial release---------------------* Rainflow for HDF5 and Numpy-Arrays* Classification before and after algorithm* Removing peaks from data before calculationLICENSE=======Copyright (c) 2012, Continuum Analytics, Inc.All rights reserved.Redistribution and use in source and binary forms, with or without modification,are permitted provided that the following conditions are met:Redistributions of source code must retain the above copyright notice,this list of conditions and the following disclaimer.Redistributions in binary form must reproduce the above copyright notice,this list of conditions and the following disclaimer in the documentationand/or other materials provided with the distribution.Neither the name of Continuum Analytics nor the names of any contributorsmay be used to endorse or promote products derived from this softwarewithout specific prior written permission.THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THEIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSEARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BELIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, ORCONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OFSUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESSINTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER INCONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OFTHE POSSIBILITY OF SUCH DAMAGE.