def thickness_uniformity(c_thickness_stats, l_thickness_stats, r_thickness_stats, cu1_measured, cu1_accepted, meco_c_thickness, cl): p4a = figure(plot_width=700, plot_height=400, title="Meco Thickness Comparison") c_measurements = [1,2,3,4,5,6,7,8] l_measurements = [1,5,8] r_measurements = [1,5,8] #Center thickness p4a.line(c_measurements, c_thickness_stats, line_width=2, legend='Center') p4a.circle(c_measurements, c_thickness_stats, fill_color='white', size=8) #Left thickness p4a.line(l_measurements, l_thickness_stats, line_width=2, legend='Left', color='orange') p4a.circle(l_measurements, l_thickness_stats, fill_color='white', size=8) #Right thickness p4a.line(r_measurements, r_thickness_stats, line_width=2, legend='Right', color='purple') p4a.circle(r_measurements, r_thickness_stats, fill_color='white', size=8) #Total number of measured grids p4a.line(c_measurements, c_thickness_stats, line_width=2, legend='Total Measured: ' + str(cu1_measured), color='green') #Sampling Percentage p4a.line(c_measurements, c_thickness_stats, line_width=2, legend='Total Accepted: ' + str(len(cu1_accepted)), color='green') p4a.xaxis.axis_label = 'Measurement Number' p4a.yaxis.axis_label = 'Thickness (mm)' #Normalize Center Thicknesses normalized_thickness = statfunctions.normalize(meco_c_thickness) n_thickness_stats = statfunctions.liststats(normalized_thickness, cl) p4b = figure(plot_width=700, plot_height=400, title="Center Thickness Control (Normalized)") p4b.line(c_measurements, n_thickness_stats['avg'], line_width=2, legend='Center') p4b.circle(c_measurements, n_thickness_stats['avg'], fill_color='white', size=8) #STD lines p4b.line(c_measurements, n_thickness_stats['ucl'], line_width=1, line_color='red', legend='2 Std Lines') p4b.line(c_measurements, n_thickness_stats['lcl'], line_width=1, line_color='red') p4b.xaxis.axis_label = 'Measurement Number' p4b.yaxis.axis_label = 'Thickness (mm)' return (p4a, p4b)
r_measurements = [3,6,11,17] #center thickness p4a.line(center_measurements, c_thickness_stats['avg'], line_width=2, legend='Center') p4a.circle(center_measurements, c_thickness_stats['avg'], fill_color='white', size=8) #left thickness p4a.line(l_measurements, l_thickness_stats['avg'], line_width=2, legend='Left', color='orange') p4a.circle(l_measurements, l_thickness_stats['avg'], fill_color='white', size=8) #right thickness p4a.line(r_measurements, r_thickness_stats['avg'], line_width=2, legend='Right', color='purple') p4a.circle(r_measurements, r_thickness_stats['avg'], fill_color='white', size=8) p4a.xaxis.axis_label = 'Measurement Number' p4a.yaxis.axis_label = 'Thickness (mm)' #Normalize Center Thicknesses normalized_thickness = statfunctions.normalize(meco_c_thickness) n_thickness_stats = statfunctions.liststats(normalized_thickness) p4b = figure(plot_width=700, plot_height=400, title="Center Thickness Control (Normalized)") p4b.line(center_measurements, n_thickness_stats['avg'], line_width=2, legend='Center') p4b.circle(center_measurements, n_thickness_stats['avg'], fill_color='white', size=8) #STD lines p4b.line(center_measurements, n_thickness_stats['ucl'], line_width=1, line_color='red', legend='2 Std Lines') p4b.line(center_measurements, n_thickness_stats['lcl'], line_width=1, line_color='red') p4b.xaxis.axis_label = 'Measurement Number' p4b.yaxis.axis_label = 'Thickness (mm)' tab2 = Panel(child=hplot(p4a, p4b), title="Thicknesses") #second tab of the dashboard tabs = Tabs(tabs=[tab1, tab2]) show(tabs)
