################################################################################################### # Deployment specific global definitions - executed after startup.py ################################################################################################### from mathutils import estimate_peak_indexes, fit_gaussians, create_fit_point_list, Gaussian from mathutils import fit_polynomial,fit_gaussian, fit_harmonic, calculate_peaks from mathutils import PolynomialFunction, Gaussian, HarmonicOscillator import math import random import java.awt.Color as Color def fit(ydata, xdata = None): """ """ if xdata is None: xdata = frange(0, len(ydata), 1) max_y= max(ydata) index_max = ydata.index(max_y) max_x= xdata[index_max] print "Max index:" + str(index_max), print " x:" + str(max_x), print " y:" + str(max_y) gaussians = fit_gaussians(ydata, xdata, [index_max,]) p = plot([ydata],["data"],[xdata], title="Fit" )[0] if gaussians[0] is None: p.addMarker(max_x, None, "Max="+str(round(max_x,2)), Color.GRAY) print "Fitting error" return (None, None, None) (norm, mean, sigma) = gaussians[0] fitted_gaussian_function = Gaussian(norm, mean, sigma) scale_x = [float(min(xdata)), float(max(xdata)) ] points = max((len(xdata)+1), 100) resolution = (scale_x[1]-scale_x[0]) / points fit_y = [] fit_x = frange(scale_x[0],scale_x[1],resolution, True) for x in fit_x: fit_y.append(fitted_gaussian_function.value(x)) p.addSeries(LinePlotSeries("fit")) p.getSeries(1).setData(fit_x, fit_y) if abs(mean - xdata[index_max]) < ((scale_x[0] + scale_x[1])/2): print "Mean -> " + str(mean) p.addMarker(mean, None, "Mean="+str(round(norm,2)), Color.MAGENTA.darker()) return (norm, mean, sigma) else: p.addMarker(max_x, None, "Max="+str(round(max_x,2)), Color.GRAY) print "Invalid gaussian fit: " + str(mean) return (None, None, None) def hfit(ydata, xdata = None): if xdata is None: xdata = frange(0, len(ydata), 1) max_y= max(ydata) index_max = ydata.index(max_y) max_x= xdata[index_max] start,end = min(xdata), max(xdata) (amplitude, angular_frequency, phase) = fit_harmonic(ydata, xdata) fitted_harmonic_function = HarmonicOscillator(amplitude, angular_frequency, phase) print "amplitude = ", amplitude print "angular frequency = ", angular_frequency print "phase = ", phase f = angular_frequency/ (2* math.pi) resolution = 0.01 fit_y = [] for x in frange(start,end,resolution, True): fit_y.append(fitted_harmonic_function.value(x)) fit_x = frange(start, end+resolution, resolution) p = plot(ydata,"data", xdata, title="HFit")[0] p.addSeries(LinePlotSeries("fit")) p.getSeries(1).setData(fit_x, fit_y) #m = (phase + math.pi)/ angular_frequency fit_max = -phase / angular_frequency if (fit_max