问题：在python中减去两个直方图并计算CDF

Question

我有一个问题，要减去两个直方图并计算它的CDF和Kolmogorov Smirnov Test。我有两个文件的数据，其中一个是最大的，我有缩放。然后我把这些文件放在直方图中，我试着用减法计算CDF，但我做不到

input_file1="F:/JavierRengifo/Datos/muon_counter_data_Test_Th15_Tamb_LuzNormal.txt" input_file2="F:/JavierRengifo/Datos/muon_counter_data_Sr01uCi_dist05cm_Th15_Det1_NM.txt" input_file3="F:/JavierRengifo/Datos/muon_counter_data_Ce025uCi_dist05cm_Th15_Det1_NM.txt"

df1 = pd.read_table(input_file1,delimiter=' ',skiprows=5, header=0)

df2 = pd.read_table(input_file2,delimiter=' ',skiprows=5, header=0)

df3 = pd.read_table(input_file3,delimiter=' ',skiprows=5, header=0)

arr1=df1["SiPM[mV]"]

arr2=df2["SiPM[mV]"]

arr3=df3["SiPM[mV]"]

BINS=100

(counts, bins) = np.histogram(arr1, bins=BINS)

factor = 1/6

arr1n=plt.hist(bins[:-1], bins, weights=factor*counts, cumulative=False, density=True, color='blue', alpha=0.75, histtype='step')

arr2n=plt.hist(arr2, bins=BINS, cumulative=False, density=True, color='red', alpha=0.75, histtype='step')

arr3n=plt.hist(arr3, bins=BINS, cumulative=False, density=True, color='orange', alpha=0.75, histtype='step')

dfAB = arr2n[0]-arr1n[0]

dfAC = arr3n[0]-arr1n[0]

lala1=plt.hist(diffABv0, bins=100, cumulative=True, density=True, color='red', alpha=0.75, histtype='step')

lala2=plt.hist(diffACv0, bins=100, cumulative=True, density=True, color='purple', alpha=0.75, histtype='step')

print('1 intento Ks: '+str(ks_2samp(dfAB,dfAC)))