A series of binary NumPy arrays representing cloudy (1's) and clear (0's) sky pixels I added together to find number of observations where cloud is present in each pixel. I want to find percentage of cloud number of cloud (1's)/total observations*100 but cannot get this to work in Python using NumPy arrays as I want to modify original variable: import numpy as np arr1 = np.array([1,0,1]) arr2 = np.array([0,0,1]) total1 = np.add(arr1, arr2) >>> [1 0 2] total2 = total1 #Purely to make multiple to elaborate my issue variables = [total1, total2] for x in variables: x = x + 100 total1 >>> [1 0 2] total1 variable has not updated. It works with: for x in variables: x += 100 total1 >>> [201, 200, 202] I however do not want to increment by 100. I want to calculate percentage like: for x in variables: x = x / 1 * 100 #I have simplified the maths for ease of reading #This is my desired output - note how total1 is updated, not created total1 >>> [100, 0, 200] But this does not work. I am accessing the variables in this way for n variables (variable names go from total1 > total*n*). Continue reading...
