def test_reversalIndexes():
""" Tests if the reversalIndexe is correct."""
DamperHys = hys.Hysteresis(testHys2)
reversalIndexes = DamperHys.reversalIndexes
assert reversalIndexes[15] == 492
def test_net_Area():
""" Tests if the net area is correct."""
DamperHys = hys.Hysteresis(testHys2)
NetArea = DamperHys.getNetArea()
assert abs(NetArea - 12390.79659964981) < 10**-5
def test_plot_Slope():
""" Tests if the slope is the correct value"""
DamperHys = hys.Hysteresis(testHys2)
slope = DamperHys.Slope
assert abs(slope[-2] - 40499.99999999157) < 10**-5
def test_plot_RemoveNeg(monkeypatch):
""" Tests if the remove Negative attribute runs"""
monkeypatch.setattr(plt, 'show', lambda: None)
trianglexy = np.column_stack((triangle, Y))
smallTriangles = hys.Hysteresis(trianglexy)
smallTriangles.recalculateCycles(peakProminence=.2)
cycle1 = smallTriangles.getCycle(0)
xy = cycle1.xy
x = xy[:, 0]
y = xy[:, 1]
direction = cycle1.direction
difference = np.append(0, np.diff(x))
condtion = np.where(0 <= difference * direction)
plt.subplots()
plt.plot(x[condtion], y[condtion])
New = hys.removeNegative(cycle1)
New.plot()
assert True == True
def test_plot_Area(monkeypatch):
""" Tests if the area can plot correctly."""
monkeypatch.setattr(plt, 'show', lambda: None)
DamperHys = hys.Hysteresis(testHys2)
DamperHys.plotArea()
assert True == True
def test_plot_Slope(monkeypatch):
""" Tests if the slope can plot correctly"""
monkeypatch.setattr(plt, 'show', lambda: None)
DamperHys = hys.Hysteresis(testHys2)
slope = DamperHys.Slope
DamperHys.plotSlope()
plt.close()
assert True == True
def test_plot_labels(monkeypatch):
""" Tests if the cycles can plot correctly"""
monkeypatch.setattr(plt, 'show', lambda: None)
DamperHys = hys.Hysteresis(testHys2)
DamperHys.plot(plotCycles=True, labelCycles=[17, 18, 19, 23])
plt.close()
DamperHys.plot(plotCycles=True, labelCycles='all')
plt.close()
assert True == True
def test_DownSampled_Plotting(monkeypatch):
""" Tests if the resampled hystresis can plot correctly """
monkeypatch.setattr(plt, 'show', lambda: None)
DamperHys = hys.Hysteresis(testHys2)
downsampledHys = hys.reSample(DamperHys, 20)
downsampledHys.plot(plotCycles = True)
plt.close()
downsampledHys.plotCycles([2,3])
plt.close()
downsampledHys.plotArea()
plt.close()
downsampledHys.plotSlope()
plt.close()
assert True == True
# A2 = Curve2.getNetArea() # A3 = Curve3.getNetArea() # ============================================================================= # Circle Plotting test - Tested # ============================================================================= """ This tests a Circle hysteresis can be plotted and if the resampled curves can be plotted. """ basePoints = np.linspace(0, 1, 1000) * 2 * np.pi testCirclex = np.cos(basePoints) testCircley = np.sin(basePoints) Circlexy = np.column_stack((testCirclex, testCircley)) Circle = hys.Hysteresis(Circlexy) Circle.plot(plotCycles=True) Circle.plotArea(plotCycles=True) Circle.plotSlope(plotCycles=True, ylim=[-10, 10]) Circle.setPeaks() fig, ax = Circle.plotCycles(plotCycles=True, plotPeaks=True) # fig, ax = Circle.plotSubVector(0) Vector1 = Circle.Cycles[0] Vector2 = hys.reSample(Vector1, 30) Vector3 = hys.reSample(Circle, 10) Vector1.plot() Vector2.plot() Vector3.plot(True)
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 21 23:47:36 2020
@author: Christian
"""
import hysteresis.hys as hys
import numpy as np
import matplotlib.pyplot as plt
disp = np.loadtxt('UFP_Disp.out', delimiter=' ')
force = np.loadtxt('UFP_RFrc.out', delimiter=' ')
testHys2 = np.column_stack([disp[:, 1], -force[:, 1]])
DamperHys = hys.Hysteresis(testHys2)
def test_plot_labels(monkeypatch):
""" Tests if the cycles can plot correctly"""
monkeypatch.setattr(plt, 'show', lambda: None)
DamperHys = hys.Hysteresis(testHys2)
DamperHys.plot(plotCycles=True, labelCycles=[17, 18, 19, 23])
plt.close()
DamperHys.plot(plotCycles=True, labelCycles='all')
plt.close()
assert True == True
def test_plot_Cycles(monkeypatch):
import matplotlib.pyplot as plt
# load the .csv Data
InputName = 'Hys1.csv'
LPName = 'LoadProtocol.csv'
EnergyName = 'Hys1_Energy.csv'
xyData = np.loadtxt(InputName, delimiter=',')
LoadProtocol = np.loadtxt(LPName, delimiter=',', skiprows=1)
Energy = np.loadtxt(EnergyName, delimiter=',')
# some small adjustments
xyData = xyData[:-21, :]
xyData[-1, 0] = xyData[-1, 0] + 0.6
# Create the trace Hysteresis
hysTrace = hys.Hysteresis(xyData)
hysTrace.plotLoadProtocol()
fig, ax = hysTrace.plot(True)
# Expand the hysteresis
FullHys = hys.exandHysTrace(hysTrace,
LoadProtocol[:, 2],
skipStart=1,
skipEnd=2)
FullHys.plot()
# Plot the load Protocol
FullHys.plotLoadProtocol()
hysProt = FullHys.loadProtocol
# Get cumulative displacement and area
def getHys():
ExpHys = hys.Hysteresis(Wall_exp_xy[8300:,:])
AnalHys = hys.Hysteresis(Wall_anal_xy[500:,:])
return ExpHys, AnalHys
This tests if a simple cicle works
"""
import hysteresis.hys as hys
import numpy as np
import time
basePoints = np.linspace(0, 1, 1000) * 2 * np.pi
testCirclex = np.sin(basePoints)
testCircley = np.cos(basePoints)
Circlexy = np.column_stack((testCirclex, testCircley))
NStep = 10000
t1 = time.time()
for ii in range(NStep):
pass
t2 = time.time()
t3 = time.time()
for ii in range(NStep):
Circle = hys.Hysteresis(Circlexy)
t4 = time.time()
dt1 = t2 - t1
dt2 = t4 - t3
print(dt1, dt2, dt2 - dt1)
import numpy as np import hysteresis.hys as hys t = np.linspace(0,4,1000)*np.pi x = np.sin(t) y = np.cos(t)*t xy = np.column_stack([x,y]) myHys = hys.Hysteresis(xy) myHys.plot(plotCycles = True)
