def single_fitting(are_four_col): """ Gets parameters from window, executes fitting for the chosen file (four or two columns depending on argument's value) displays fitting curves and data points from file :param are_four_col: :return: """ # LOADING DATA AND AGGREGATION save_btn.place_forget() data = None if are_four_col: data = load_files.load_mapping_file(file_name.get()) else: data = load_files.load_two_column_file(file_name.get()) omega = data[2] intensity = data[3] is_bg_active = active_bg.get() result = ns.find_grain_diameter( omega, intensity, float(min_size.get()), float(max_size.get()) + float(size_step.get()), float(size_step.get()), True, read_params(), is_bg_active, ) global f f.clf() f = result[4] f.suptitle(file_name.get().split("/")[-1]) global canvas canvas = FigureCanvasTkAgg(f, master=root) canvas.get_tk_widget().place(x=0, y=30) canvas.get_tk_widget().configure(border=0, width=650, height=450) map_rbtn_one.place_forget() map_rbtn_two.place_forget() map_rbtn_three.place_forget() map_rbtn_four.place_forget() map_param_rbtn_one.place_forget() map_param_rbtn_two.place_forget() map_param_rbtn_three.place_forget() map_param_rbtn_four.place_forget() save_btn.place(x=545, y=1)
def single_fitting(are_four_col): """ Gets parameters from window, executes fitting for the chosen file (four or two columns depending on argument's value) displays fitting curves and data points from file :param are_four_col: :return: """ # LOADING DATA AND AGGREGATION save_btn.place_forget() data = None if are_four_col: data = load_files.load_mapping_file(file_name.get()) else: data = load_files.load_two_column_file(file_name.get()) omega = data[2] intensity = data[3] is_bg_active = active_bg.get() result = ns.find_grain_diameter( omega, intensity, float(min_size.get()), float(max_size.get()) + float(size_step.get()), float(size_step.get()), True, read_params(), is_bg_active) global f f.clf() f = result[4] f.suptitle(file_name.get().split('/')[-1]) global canvas canvas = FigureCanvasTkAgg(f, master=root) canvas.get_tk_widget().place(x=0, y=30) canvas.get_tk_widget().configure(border=0, width=650, height=450) map_rbtn_one.place_forget() map_rbtn_two.place_forget() map_rbtn_three.place_forget() map_rbtn_four.place_forget() map_param_rbtn_one.place_forget() map_param_rbtn_two.place_forget() map_param_rbtn_three.place_forget() map_param_rbtn_four.place_forget() save_btn.place(x=545, y=1)
def agg_data(data, min_size, max_size, size_step, params, sample_type): X = data[0] Y = data[1] raman_shift = data[2] intensity = data[3] current_Y = Y[0] current_X = X[0] result_diameter = [] column_diameter = [] result_sigma = [] column_sigma = [] result_intensity = [] column_intensity = [] result_omega_0 = [] column_omega_0 = [] for ii in range(0, len(X)): if (Y[ii] != current_Y): choose_condition = (Y == current_Y)*(X == current_X) func_result = nanograin_size.find_grain_diameter(raman_shift[choose_condition], intensity[choose_condition], min_size, max_size, size_step, False, params, True) column_diameter.append(func_result[0]) # function returns (diameter, sigma, omega_0, peak_high) column_sigma.append(func_result[1]) column_omega_0.append(func_result[2]) column_intensity.append(func_result[3]) current_Y = Y[ii] if (X[ii] != current_X): print("y") print(current_Y) print("x") print(current_X) progress = round(ii/len(X) * 100,1) msg = """#####################################################################################"""+\ " PROGRESS: " + str(progress) + \ """ ###################################################################################""" print(msg) result_diameter.append(column_diameter) result_sigma.append(column_sigma) result_omega_0.append(column_omega_0) result_intensity.append(column_intensity) column_diameter = [] column_sigma = [] column_omega_0 = [] column_intensity = [] current_X = X[ii] if (ii == (len(X) - 1)): choose_condition = (Y == current_Y)*(X == current_X) func_result = nanograin_size.find_grain_diameter(raman_shift[choose_condition], intensity[choose_condition], min_size, max_size, size_step, False, params, True) column_diameter.append(func_result[0]) # function returns (diameter, sigma, omega_0, peak_high) column_sigma.append(func_result[1]) column_omega_0.append(func_result[2]) column_intensity.append(func_result[3]) result_diameter.append(column_diameter) result_sigma.append(column_sigma) result_omega_0.append(column_omega_0) result_intensity.append(column_intensity) print("y") print(current_Y) print("x") print(current_X) #return result_diameter, result_sigma, result_omega_0, result_intensity return result_diameter, result_sigma, result_omega_0, result_intensity
def agg_data(data, min_size, max_size, size_step, params, sample_type): X = data[0] Y = data[1] raman_shift = data[2] intensity = data[3] current_Y = Y[0] current_X = X[0] result_diameter = [] column_diameter = [] result_sigma = [] column_sigma = [] result_intensity = [] column_intensity = [] result_omega_0 = [] column_omega_0 = [] for ii in range(0, len(X)): if (Y[ii] != current_Y): choose_condition = (Y == current_Y) * (X == current_X) func_result = nanograin_size.find_grain_diameter( raman_shift[choose_condition], intensity[choose_condition], min_size, max_size, size_step, False, params, True) column_diameter.append( func_result[0] ) # function returns (diameter, sigma, omega_0, peak_high) column_sigma.append(func_result[1]) column_omega_0.append(func_result[2]) column_intensity.append(func_result[3]) current_Y = Y[ii] if (X[ii] != current_X): print("y") print(current_Y) print("x") print(current_X) progress = round(ii / len(X) * 100, 1) msg = """#####################################################################################"""+\ " PROGRESS: " + str(progress) + \ """ ###################################################################################""" print(msg) result_diameter.append(column_diameter) result_sigma.append(column_sigma) result_omega_0.append(column_omega_0) result_intensity.append(column_intensity) column_diameter = [] column_sigma = [] column_omega_0 = [] column_intensity = [] current_X = X[ii] if (ii == (len(X) - 1)): choose_condition = (Y == current_Y) * (X == current_X) func_result = nanograin_size.find_grain_diameter( raman_shift[choose_condition], intensity[choose_condition], min_size, max_size, size_step, False, params, True) column_diameter.append( func_result[0] ) # function returns (diameter, sigma, omega_0, peak_high) column_sigma.append(func_result[1]) column_omega_0.append(func_result[2]) column_intensity.append(func_result[3]) result_diameter.append(column_diameter) result_sigma.append(column_sigma) result_omega_0.append(column_omega_0) result_intensity.append(column_intensity) print("y") print(current_Y) print("x") print(current_X) #return result_diameter, result_sigma, result_omega_0, result_intensity return result_diameter, result_sigma, result_omega_0, result_intensity