f1=open_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221111/20221111_Two_Pol/i221111_006/i221111_006#002.tif") f2=open_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221111/20221111_Two_Pol/i221111_006_corr/ci221111_006#002.tif") """ f1=load_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221109/20221109_Take_Image/i221109_019/i221109_019#002.tif") f2=load_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221109/20221109_Take_Image/i221109_019_shifted/i221109_019#002.tif") f1 = load_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221109/20221109_Two_Energies/i221109_034/i221109_034#002.tif") f2 = load_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221109/20221109_Two_Energies/i221109_034_shifted/i221109_034#002.tif") f1 = load_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221110/20221110_17909_AbsortionSpectrum/1/s17909_001.tif") f2 = load_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221110/20221110_17909_AbsortionSpectrum/1_corr/cs17909_001.tif") """ """ s1=[] s2=[] j=4 for i in range(1, 10, 1): f1=open_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221111/20221111_Two_Pol/i221111_00" + str(j) + "/i221111_00" + str(j) + "#00" + str(i) + ".tif") f2=open_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221111/20221111_Two_Pol/i221111_00" + str(j) + "_corr/ci221111_00" + str(j) + "#00" + str(i) + ".tif") a1 = get_ip_array(f1) a2 = get_ip_array(f2) s1.append(a1) s2.append(a2) plot([s1, s2], name=["a1", "a2"]) """ #plot([a1[150], a2[150]], name=["a1", "a2"]) #p1 = [sum(x) for x in a1] #p2 = [sum(x) for x in a2] #plot([p1, p2], name=["P1", "P2"]) s1=[] s2=[] month = "2022_11" date = "20221115" index="024" method = "Two_Pol" method = "Take_Image" method = "Two_Energies" try: for i in range(1, 10, 1): f1=open_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/" + month + "/" + date + "/" + date + "_" + method + "/i221115_" + index + "/i221115_" + index + "#00" + str(i) + ".tif") f2=open_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/" + month + "/" + date + "/" + date + "_" + method + "/i221115_" + index + "_corr/ci221115_" + index + "#00" + str(i) + ".tif") a1 = get_ip_array(f1) a2 = get_ip_array(f2) s1.append(a1) s2.append(a2) except: pass plot([s1, s2], name=["a1", "a2"])