def __init__(self):
s = settings1()
s.f.readout_every_n_line = 50
s.Ux.resolution = 20
s.Uy.resolution = 20
t1 = target.coarseMatrix(s.basis_dim,s.merge_dim,s.derivate_dim, s.f)
t1.fill(s.f)
p = plot.matrix(t1)
p.heatMap("grob20")
p.save("20grob", "vglGrobFein")
t2 = target.fineMatrix(s.basis_dim,s.merge_dim,s.derivate_dim, s.f)
t2.fill(s.f)
p = plot.matrix(t2)
p.heatMap("fein20")
p.save("20fein", "vglGrobFein")
s.Ux.resolution = 150
s.Uy.resolution = 150
t1 = target.coarseMatrix(s.basis_dim,s.merge_dim,s.derivate_dim, s.f)
t1.fill(s.f)
p = plot.matrix(t1)
p.graph("3D")
p.show()
p.heatMap("grob150")
p.save("150fein", "vglGrobFein")
t1.interpolate("cubic")
p = plot.matrix(t1)
p.heatMap("grob150-int")
p.save("150int_grob", "vglGrobFein")
t2 = target.fineMatrix(s.basis_dim,s.merge_dim,s.derivate_dim, s.f)
t2.fill(s.f)
p = plot.matrix(t2)
p.heatMap("fein150")
p.save("150fein", "vglGrobFein")
p = plot.matrix(t2, "densityMatrix")
p.heatMap("fein155_dichte")
p.save("150fein_density", "vglGrobFein")
t2.interpolate("cubic")
p = plot.matrix(t2)
p.heatMap("fein150-int")
p.save("150int_fein", "vglGrobFein")
ramp.transform().append(Volt2m_y) triangle.transform().append(Volt2m_x) # for some reason we only want to take those values where the triangle moves up. # to exclude all other values we let diaGrabber calculate the middle-difference # of the last 3 values of the triangle-signal # because of the simulated scan we could also only use the last value, but # in real measurements the fluctuation of a signal can be so large that we need # to middle our calculations in some way triangle.calc().append(calc.delta(3)) # now we define to exclude all values where the result of the calculated values # is less than zero: triangle.exclude().append(exclude.calcSmallerValue(triangle.calc().get(0), 0.0)) # we give the source to our target: t = target.fineMatrix(f) # we initiate the graphical user interface: p = plot.Gui(t, colorTheme = "bright") # our source is relatively large, maybe we dont want to readout every line in it. # to spare time we choose only to read every fifth line in the first run: f.setArgs(readoutEveryNLine=5) # we readout the source and fill the target with its values t.fill() # we command to plot p.plot() ################### ######(SEE?)#######
name="merge", unit="-", cellRange="F3:F600", merge=merge.max()) # the given prefix 'm' stands for milli. If you use this attribute all values # were transformed in the readout. in this case /1000 one = ods.basisDimension( name="one",unit="m/s", cellRange="A3:A600", resolution=40) two = ods.basisDimension( name="two", prefix="m", unit="m/s", cellRange="B3:B600", resolution=40) three = ods.basisDimension( name="three", prefix="m", unit="m/s", cellRange="C3:C600", resolution=40) four = ods.basisDimension( name="four", prefix="m", unit="m/s", cellRange="D3:D600", resolution=40) # now we put the source 'ods' into the target t = target.fineMatrix( ods ) # the command to fill the target with the values of the source t.fill() # to see the result we need to create a instance of plot.Gui: p = plot.Gui(t, colorTheme = "bright", closeWhenFinished = False) # there are many ways to individualize the Gui. You can find all possible # attributes in the documentation of this class. # now the command to plot: p.plot()