baseNames = ['/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/CFD/FN/Results/FN_250ngml', '/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/CFD/FN/Results/FN_500ngml', '/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/CFD/FN/Results/FN_1ugml', '/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/CFD/FN/Results/FN_5ugml', '/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/CFD/FN/Results/FN_10ugml'] expFileName = '/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/Experimental Data Analysis/Fn/Kerry/Fn_DETA_experiments.h5' # GO #baseNames = ['/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/CFD/GO/Results/GO_glass_10ugml_adsorption_RESONATORSENSINGAREA', # '/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/CFD/GO/Results/GO_glass_100ugml_adsorption_RESONATORSENSINGAREA'] #expFileName = '/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/Experimental Data Analysis/GO/Data/GO_glass_150mlhr.h5' molar_mass = 160e3 f = molar_mass * 1e5 exp_C, exp_t, exp_mean, std, labels = load_average_data(expFileName) plt.figure(facecolor='white', figsize=(width, width/1.618)) plt.subplots_adjust(left=0.16, top=0.88, right=0.97, bottom=0.19) plt.figure(facecolor='white', figsize=(width, width/1.618)) plt.subplots_adjust(left=0.16, top=0.88, right=0.97, bottom=0.19) for i in range(len(exp_C)): # Near-surface concentration fileName = baseNames[i] + '_Near_Surf_Conc.DAT' t, c = read_ACE_near_surface_concentration(fileName) plt.figure(1) # plt.title('Near-Surface Concentration') plt.plot(t, c * 1000 * molar_mass, color='k', dashes=dashes[i], label=r"$" + str(exp_C[i]) + "\, \mu g/ml$") # mol/L to micrograms/ml
mpl.rc('font', size=8.0, family='serif') # Set default font to 8pt if not separate_plots: width = 190.0/25.4 plt.figure(figsize=(width,width/1.618), facecolor='w') plt.subplots_adjust(left=0.08, right=0.96, top=0.93, bottom=0.09, wspace=0.15, hspace=0.4) else: width = 90.0/25.4 # Fn on 13F experimentalFileName = "/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/Experimental Data Analysis/Fn/Kerry/Fn_13F_experiments.h5" (concentrations, times, mean_surf_conc, std_surf_conc, exp_labels) = \ load_average_data(experimentalFileName) if separate_plots: plt.figure(figsize=(width,width/1.618), facecolor='w') plt.subplots_adjust(left=0.16, bottom=0.2, top=0.87) else: plt.subplot(2,2,1) plt.title("FN on 13F") for i in range(len(mean_surf_conc)): plt.plot(times[i], mean_surf_conc[i], color=colors[exp_labels[i]], dashes=dashes[exp_labels[i]], antialiased=True, label=labels[exp_labels[i]]) plt.plot(times[i], mean_surf_conc[i]+std_surf_conc[i], color=colors[exp_labels[i]], linestyle=':', antialiased=True) plt.plot(times[i], mean_surf_conc[i]-std_surf_conc[i], color=colors[exp_labels[i]], linestyle=':', antialiased=True)
mpl.rc('font', size=8.0, family='serif') # Set default font to 8pt width = 3.0 baseNames = ['/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/CFD/FN/Results/FN_250ngml', '/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/CFD/FN/Results/FN_500ngml', '/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/CFD/FN/Results/FN_1ugml', '/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/CFD/FN/Results/FN_5ugml', '/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/CFD/FN/Results/FN_10ugml'] # Fn on 13F experimentalFileName = "/home/cfinch/cfinch/Microfluidics/Whispering Gallery Mode Sensor/Experimental Data Analysis/Fn/Kerry/Fn_13F_experiments.h5" (concentrations, times, mean_surf_conc, std_surf_conc, exp_labels) = \ load_average_data(experimentalFileName) plt.figure(figsize=(width,width/1.618), facecolor='w') plt.subplots_adjust(left=0.16, bottom=0.2, top=0.87) plt.figure(figsize=(width,width/1.618), facecolor='w') plt.subplots_adjust(left=0.16, bottom=0.2, top=0.87) for i in range(len(mean_surf_conc)): plt.figure(1) plt.plot(times[i], mean_surf_conc[i], color=colors[exp_labels[i]], dashes=dashes[exp_labels[i]], antialiased=True, label=labels[exp_labels[i]]) plt.plot(times[i], mean_surf_conc[i]+std_surf_conc[i], color=colors[exp_labels[i]], linestyle=':', antialiased=True) plt.plot(times[i], mean_surf_conc[i]-std_surf_conc[i], color=colors[exp_labels[i]], linestyle=':', antialiased=True)