Counting matrix

# Import auxiliary libraries for demonstration

import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np

plt.rcParams[ "figure.figsize" ] = [ 5, 4 ]
plt.style.use( "default" )

plt.rcParams[ "figure.dpi" ] = 80
plt.rcParams[ "font.family" ] = "Times New Roman"
plt.rcParams[ "font.size" ] = '14'

Counting results to counting matrix

Function countingRstToCountingMatrix returns the cycle counting matrix and corresponding index from the cycle counting results.

Function help

from ffpack.utils import countingRstToCountingMatrix
help( countingRstToCountingMatrix )

Help on function countingRstToCountingMatrix in module ffpack.utils.lsmUtils:

countingRstToCountingMatrix(countingRst)
    Calculate counting matrix from rainflow counting result.

    Parameters
    ----------
    countingRst: 2d array
        Cycle counting result in form of [ [ rangeStart1, rangeEnd1, count1 ],
        [ rangeStart2, rangeEnd2, count2 ], ... ].

    Returns
    -------
    rst: 2d array
        A matrix contains the counting results.
    matrixIndexKey: 1d array
        A sorted array contains the index keys for the counting matrix.

    Raises
    ------
    ValueError
        If the data dimension is not 2.
        If the data is not empty and not in dimension of n by 3.

    Examples
    --------
    >>> from ffpack.lsm import countingRstToCountingMatrix
    >>> countingRst = [ [ -2.0, 1.0, 1.0 ], [ 5.0, -1.0, 3.0 ], [ -4.0, 4.0, 0.5 ] ]
    >>> rst, matrixIndexKey = countingRstToCountingMatrix( countingRst )

Example with default values

cctcmRst = [ [ -2.0, 1.0, 1.0 ], [ 5.0, -1.0, 3.0 ], [ -4.0, 4.0, 0.5 ] ]
cctcmMat, cctcmMatIndexKey = countingRstToCountingMatrix( cctcmRst )

cctcmMat = np.array( cctcmMat )
cctcmMatIndex = np.array( cctcmMatIndexKey ).astype( float )

print( "Cycle counting matrix" )
print( cctcmMat )
print()
print( "Matrix index" )
print( cctcmMatIndex )

Cycle counting matrix
[[0.  0.  0.  0.  0.5 0. ]
 [0.  0.  0.  1.  0.  0. ]
 [0.  0.  0.  0.  0.  0. ]
 [0.  0.  0.  0.  0.  0. ]
 [0.  0.  0.  0.  0.  0. ]
 [0.  0.  3.  0.  0.  0. ]]

Matrix index
[-4. -2. -1.  1.  4.  5.]