def updateColprofile(self): cp = self.calculate_col_profile() self.cp_data = cp self.cp_curve.setData(y=cp) if self.gaussian: #y_fit = gaussian_fit(self.cols_array, cp) if not self.fit_roi_only: y_fit = gaussian_fit(self.cols_array, cp) if not y_fit[1]: # not estimate self.cp_gaussian.setPen(qualitative_colors[0]) else: self.cp_gaussian.setPen(grey) self.cp_gaussian.setData(y=y_fit[0]) else: x0 = self.x_int_lims[0] x1 = self.x_int_lims[1] y_fit = gaussian_fit(self.cols_array[x0:x1], cp[x0:x1]) if not y_fit[1]: # not estimate self.cp_gaussian.setPen(qualitative_colors[0]) else: self.cp_gaussian.setPen(grey) self.cp_gaussian.setData(x=self.cols_array[x0:x1], y=y_fit[0]) #self.cp_gaussian.setData(y=y_fit[0]) self.scwin.feedData(np.array([y_fit[2][0], y_fit[2][1]]), data_slice=[0, 2], count=False)
def updateRowprofile(self): rp = self.calculate_row_profile() self.rp_data = rp self.rp_curve.setData(x=rp, y=self.rows_array) if self.gaussian: #x_fit = gaussian_fit(self.rows_array, rp) #print("Row Mean: ", x_fit[2][0]) if not self.fit_roi_only: x_fit = gaussian_fit(self.rows_array, rp) if not x_fit[1]: # not estimate self.rp_gaussian.setPen(qualitative_colors[0]) else: self.rp_gaussian.setPen(grey) self.rp_gaussian.setData(x=x_fit[0], y=self.rows_array) else: y0 = self.y_int_lims[0] y1 = self.y_int_lims[1] x_fit = gaussian_fit(self.rows_array[y0:y1], rp[y0:y1]) if not x_fit[1]: # not estimate self.rp_gaussian.setPen(qualitative_colors[0]) else: self.rp_gaussian.setPen(grey) self.rp_gaussian.setData(x=x_fit[0], y=self.rows_array[y0:y1]) #self.rp_gaussian.setData(x=x_fit[0], y=self.rows_array) self.scwin.feedData(np.array([x_fit[2][0], x_fit[2][1]]), data_slice=[2, 4])
def toggle_gaussian(self): self.gaussian = not self.gaussian if self.gaussian: cp = self.calculate_col_profile() if not self.fit_roi_only: y_fit = gaussian_fit(self.cols_array, cp) cp_gaussian = self.cp_plot.plot(x=self.cols_array, y=y_fit[0]) else: x0 = self.x_int_lims[0] x1 = self.x_int_lims[1] y_fit = gaussian_fit(self.cols_array[x0:x1], cp[x0:x1]) cp_gaussian = self.cp_plot.plot(x=self.cols_array[x0:x1], y=y_fit[0]) self.cp_gaussian = cp_gaussian rp = self.calculate_row_profile() if not self.fit_roi_only: x_fit = gaussian_fit(self.rows_array, rp) rp_gaussian = self.rp_plot.plot(x=x_fit[0], y=self.rows_array) else: y0 = self.y_int_lims[0] y1 = self.y_int_lims[1] x_fit = gaussian_fit(self.rows_array[y0:y1], rp[y0:y1]) rp_gaussian = self.rp_plot.plot(x=x_fit[0], y=self.rows_array[y0:y1]) self.rp_gaussian = rp_gaussian else: self.cp_gaussian.setData([], []) self.rp_gaussian.setData([], [])
def toggle_gaussian(self): self.gaussian = not self.gaussian if self.gaussian: cp = self.calculate_col_profile() y_fit = gaussian_fit(self.cols_array, cp) cp_gaussian = self.cp_plot.plot(x=self.cols_array, y=y_fit[0]) self.cp_gaussian = cp_gaussian rp = self.calculate_row_profile() x_fit = gaussian_fit(self.rows_array, rp) rp_gaussian = self.rp_plot.plot(x=x_fit[0], y=self.rows_array) self.rp_gaussian = rp_gaussian else: self.cp_gaussian.setData([], []) self.rp_gaussian.setData([], [])
def updateColprofile(self): cp = self.calculate_col_profile() self.cp_curve.setData(y=cp) if self.gaussian: y_fit = gaussian_fit(self.cols_array, cp) if not y_fit[1]: # not estimate self.cp_gaussian.setPen(qualitative_colors[0]) else: self.cp_gaussian.setPen(grey) self.cp_gaussian.setData(y=y_fit[0])
def updateRowprofile(self): rp = self.calculate_row_profile() self.rp_curve.setData(x=rp, y=self.rows_array) if self.gaussian: x_fit = gaussian_fit(self.rows_array, rp) if not x_fit[1]: # not estimate self.rp_gaussian.setPen(qualitative_colors[0]) else: self.rp_gaussian.setPen(grey) self.rp_gaussian.setData(x=x_fit[0], y=self.rows_array)