def createWindow(widget):
''' Example on creating a new plot window in the
main window MDI-Area
'''
import plotWidget
from PySide import QtGui
from numpy import linspace
from scipy.special import jn
from chaco.api import ArrayPlotData, Plot
window = widget.createNewWindow()
container = plotWidget.plotContainer(window)
plotWidget = plotWidget.PlotWidget(container)
container.setPlotWidget(plotWidget)
x = linspace(-2.0, 10.0, 100)
pd = ArrayPlotData(index=x)
for i in range(5):
pd.set_data("y" + str(i), jn(i, x))
plot = Plot(pd, title=None, padding_left=60, padding_right=5, padding_top=5, padding_bottom=30, border_visible=True)
plot.plot(("index", "y0", "y1", "y2"), name="j_n, n<3", color="red")
plotWidget.setPlot(plot)
layout = QtGui.QBoxLayout(QtGui.QBoxLayout.TopToBottom)
layout.addWidget(container)
window.setLayout(layout)
window.show()
def createWindow(widget):
''' Example on creating a new plot window in the
main window MDI-Area
'''
import plotWidget
from PySide import QtGui
from numpy import linspace
from scipy.special import jn
from chaco.api import ArrayPlotData, Plot
window = widget.createNewWindow()
container = plotWidget.plotContainer(window)
plotWidget = plotWidget.PlotWidget(container)
container.setPlotWidget(plotWidget)
x = linspace(-2.0, 10.0, 100)
pd = ArrayPlotData(index=x)
for i in range(5):
pd.set_data("y" + str(i), jn(i, x))
plot = Plot(pd,
title=None,
padding_left=60,
padding_right=5,
padding_top=5,
padding_bottom=30,
border_visible=True)
plot.plot(("index", "y0", "y1", "y2"), name="j_n, n<3", color="red")
plotWidget.setPlot(plot)
layout = QtGui.QBoxLayout(QtGui.QBoxLayout.TopToBottom)
layout.addWidget(container)
window.setLayout(layout)
window.show()
def plotFFT(widget):
""" Determine fft of signals in selected widget """
print("plotFFT")
model = ""
for (modelNumber, modelName, variableName), data in widget.getData():
# print "var:", var, "data: ", data
minVal = (0, float("inf"))
maxVal = (0, float("-inf"))
# for time, value in data:
# Get data from data array:
time = numpy.array(list((x for x, _ in data))) # data[0]
values = numpy.array(list((x for _, x in data)))
(Tmin, Tmax, N) = getFFTtimeRange(time)
(timeInRange, valuesInRange) = getValuesInRange(time, values, Tmin, Tmax)
# Compute fft: A=A(f)
(f, A) = fft(timeInRange, valuesInRange, N)
# Open new plot tab:
import plotWidget
window = widget.createNewWindow()
container = plotWidget.plotContainer(window)
plotWidget = plotWidget.PlotWidget(container)
container.setPlotWidget(plotWidget)
# Create the plot
plotdata = ArrayPlotData(x=f,
y=A,
border_visible=True,
overlay_border=True)
plot = Plot(plotdata, title="FFT") # Plot(plotdata, title="FFT")
barPlot = plot.plot(("x", "y"), type="bar", bar_width=0.1, color="blue")[0]
# scatterPlot = plot.plot(("x", "y"), type="scatter", color="blue")[0]
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
plot.overlays.append(ZoomTool(plot))
# Activate Plot:
plotWidget.setPlot(plot)
container.setPlotWidget(plotWidget)
layout = QtGui.QBoxLayout(QtGui.QBoxLayout.TopToBottom)
layout.addWidget(container)
window.setLayout(layout)
window.show()
def plotFFT(widget):
""" Determine fft of signals in selected widget """
print("plotFFT")
model = ""
for (modelNumber, modelName, variableName), data in widget.getData():
# print "var:", var, "data: ", data
minVal = (0, float("inf"))
maxVal = (0, float("-inf"))
# for time, value in data:
# Get data from data array:
time = numpy.array(list((x for x, _ in data))) # data[0]
values = numpy.array(list((x for _ , x in data)))
(Tmin, Tmax, N) = getFFTtimeRange(time)
(timeInRange, valuesInRange) = getValuesInRange(time, values, Tmin, Tmax)
# Compute fft: A=A(f)
import Algorithms
(f, A) = Algorithms.fft(timeInRange, valuesInRange, N)
# Open new plot tab:
import plotWidget
window = widget.createNewWindow()
container = plotWidget.plotContainer(window)
plotWidget = plotWidget.PlotWidget(container)
container.setPlotWidget(plotWidget)
# Create the plot
plotdata = ArrayPlotData(x=f, y=A, border_visible=True, overlay_border=True)
plot = Plot(plotdata, title="FFT") # Plot(plotdata, title="FFT")
barPlot = plot.plot(("x", "y"), type="bar", bar_width=0.1, color="blue")[0]
# scatterPlot = plot.plot(("x", "y"), type="scatter", color="blue")[0]
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
plot.overlays.append(ZoomTool(plot))
# Activate Plot:
plotWidget.setPlot(plot)
container.setPlotWidget(plotWidget)
layout = QtGui.QBoxLayout(QtGui.QBoxLayout.TopToBottom)
layout.addWidget(container)
window.setLayout(layout)
window.show()
def plotFFTPlusTHD(widget):
""" Determine fft of signals in selected widget and
calculate Total harmonic disturbance"""
print("plotFFT and Total Harmonic Disturbance")
model = ""
for (modelNumber, modelName, variableName), data in widget.getData():
# print "var:", var, "data: ", data
minVal = (0, float("inf"))
maxVal = (0, float("-inf"))
# for time, value in data:
# Get data from data array:
time = numpy.array(list((x for x, _ in data))) # data[0]
values = numpy.array(list((x for _ , x in data)))
unit = ""
(Tmin, Tmax, N) = getFFTtimeRange(time)
(timeInRange, valuesInRange) = getValuesInRange(time, values, Tmin, Tmax)
# Compute fft: A=A(f)
(f, A) = fft(timeInRange, valuesInRange, N)
#******* START THD CALCULATION *************
# Estimate fundamental frequency:
maxindex = A.argmax()
estimation = f[maxindex]
def getExFreq(estimation):
return estimation
"""
Inquire im measured fundamental frequency is correct:
"""
'''
import guidata
guidata.qapplication()
import guidata.dataset.dataitems as di
import guidata.dataset.datatypes as dt
class Processing(dt.DataSet):
""" Fundamental Frequency """
correctedFreq = di.FloatItem("fundamental frequency [Hz]", default=estimation)
param = Processing()
okPressed = param.edit()
if okPressed:
return param.correctedFreq
else: # Cancel button pressed
return estimation
'''
# Ask for a better fundamental frequency
exFreq = max(0, min(f.max(), getExFreq(estimation)))
# Check if we have at least one harmonic:
if exFreq > 0.5 * f.max():
print "THD calculation not possible, extend frequency window to at least 2*fundamental frequency"
THD = 999
else:
# Get 5% window around fundamental frequency and calculate power:
mask = (f > exFreq * 0.975) & (f < exFreq * 1.025)
print "Calculating fundamental energy from points: frequency=%s, Amplitude=%s" % (f[mask], A[mask])
P1 = numpy.vdot(A[mask], A[mask]) # squared amplitude
PH = 0
# Sum up the Power of all harmonic frequencies in spectrum:
noHarmonics = numpy.int(numpy.floor(f.max() / exFreq))
for i in range(noHarmonics - 1):
mask = (f > (i + 2) * exFreq * 0.975) & (f < (i + 2) * exFreq * 1.025)
PH = PH + (numpy.vdot(A[mask], A[mask])) # squared amplitude
THD = PH / P1 * 100
#******* END THD CALCULATION *************
# Open new plot tab:
import plotWidget
window = widget.createNewWindow()
container = plotWidget.plotContainer(window)
plotWidget = plotWidget.PlotWidget(container)
container.setPlotWidget(plotWidget)
# Plot data
plotdata = ArrayPlotData(x=f, y=A, border_visible=True, overlay_border=True)
plot = Plot(plotdata, title="FFT") # Plot(plotdata, title="FFT")
barPlot = plot.plot(("x", "y"), type="bar", bar_width=0.3, color="blue")[0]
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
plot.overlays.append(ZoomTool(plot))
# Activate Plot:
plotWidget.setPlot(plot)
if THD != 999:
thdLabel = DataLabel(component=plotWidget.plot, data_point=(f[A.argmax()], A.max()),
label_position="bottom right", padding_bottom=20,
marker_color="transparent",
marker_size=8,
marker="circle",
arrow_visible=False,
label_format=str('THD = %.4g percent based on %d harmonics of the %.4g Hz frequency' % (THD, noHarmonics, exFreq)))
plotWidget.plot.overlays.append(thdLabel)
container.setPlotWidget(plotWidget)
layout = QtGui.QBoxLayout(QtGui.QBoxLayout.TopToBottom)
layout.addWidget(container)
window.setLayout(layout)
window.show()
def plotFFTPlusTHD(widget):
""" Determine fft of signals in selected widget and
calculate Total harmonic disturbance"""
print("plotFFT and Total Harmonic Disturbance")
model = ""
for (modelNumber, modelName, variableName), data in widget.getData():
# print "var:", var, "data: ", data
minVal = (0, float("inf"))
maxVal = (0, float("-inf"))
# for time, value in data:
# Get data from data array:
time = numpy.array(list((x for x, _ in data))) # data[0]
values = numpy.array(list((x for _, x in data)))
unit = ""
(Tmin, Tmax, N) = getFFTtimeRange(time)
(timeInRange, valuesInRange) = getValuesInRange(time, values, Tmin, Tmax)
# Compute fft: A=A(f)
(f, A) = fft(timeInRange, valuesInRange, N)
#******* START THD CALCULATION *************
# Estimate fundamental frequency:
maxindex = A.argmax()
estimation = f[maxindex]
def getExFreq(estimation):
return estimation
"""
Inquire im measured fundamental frequency is correct:
"""
'''
import guidata
guidata.qapplication()
import guidata.dataset.dataitems as di
import guidata.dataset.datatypes as dt
class Processing(dt.DataSet):
""" Fundamental Frequency """
correctedFreq = di.FloatItem("fundamental frequency [Hz]", default=estimation)
param = Processing()
okPressed = param.edit()
if okPressed:
return param.correctedFreq
else: # Cancel button pressed
return estimation
'''
# Ask for a better fundamental frequency
exFreq = max(0, min(f.max(), getExFreq(estimation)))
# Check if we have at least one harmonic:
if exFreq > 0.5 * f.max():
print "THD calculation not possible, extend frequency window to at least 2*fundamental frequency"
THD = 999
else:
# Get 5% window around fundamental frequency and calculate power:
mask = (f > exFreq * 0.975) & (f < exFreq * 1.025)
print "Calculating fundamental energy from points: frequency=%s, Amplitude=%s" % (
f[mask], A[mask])
P1 = numpy.vdot(A[mask], A[mask]) # squared amplitude
PH = 0
# Sum up the Power of all harmonic frequencies in spectrum:
noHarmonics = numpy.int(numpy.floor(f.max() / exFreq))
for i in range(noHarmonics - 1):
mask = (f > (i + 2) * exFreq * 0.975) & (f <
(i + 2) * exFreq * 1.025)
PH = PH + (numpy.vdot(A[mask], A[mask])) # squared amplitude
THD = PH / P1 * 100
#******* END THD CALCULATION *************
# Open new plot tab:
import plotWidget
window = widget.createNewWindow()
container = plotWidget.plotContainer(window)
plotWidget = plotWidget.PlotWidget(container)
container.setPlotWidget(plotWidget)
# Plot data
plotdata = ArrayPlotData(x=f,
y=A,
border_visible=True,
overlay_border=True)
plot = Plot(plotdata, title="FFT") # Plot(plotdata, title="FFT")
barPlot = plot.plot(("x", "y"), type="bar", bar_width=0.3, color="blue")[0]
# Attach some tools to the plot
plot.tools.append(PanTool(plot))
plot.overlays.append(ZoomTool(plot))
# Activate Plot:
plotWidget.setPlot(plot)
if THD != 999:
thdLabel = DataLabel(
component=plotWidget.plot,
data_point=(f[A.argmax()], A.max()),
label_position="bottom right",
padding_bottom=20,
marker_color="transparent",
marker_size=8,
marker="circle",
arrow_visible=False,
label_format=str(
'THD = %.4g percent based on %d harmonics of the %.4g Hz frequency'
% (THD, noHarmonics, exFreq)))
plotWidget.plot.overlays.append(thdLabel)
container.setPlotWidget(plotWidget)
layout = QtGui.QBoxLayout(QtGui.QBoxLayout.TopToBottom)
layout.addWidget(container)
window.setLayout(layout)
window.show()
