Array multiband processing with numpy

Discussion created by bogdanpalade on Jun 3, 2014
Latest reply on Jun 16, 2014 by rbeloin

My problem is about processing of multibands rasters using numpy. For example in the case when you have a lets say 10 bands raster, I would like to have an algorithm that would tell me if, passing from band 1 to band 10, the pixel values are in increasing or decreasing order, or if they satisfy other functions like increasing and then decreasing values or decreasing and then increasing values, or if they are just constant. With help from other forums I have written the function bellow (incDec(b)) which satisfies all my conditions.
My problem is how to implement this in a numpy array in order to check if the pixels fulfill this condition on the first axis (the bands axis).
Oh, something that I did not mentioned is that 0 values have to be disregarded from all the calculations as you can see from the code below.

def decrease(a):
    return all(a[i] >= a[i+1] for i in range(len(a)-1)) # function to check if a list has decreasing values
def increase(a):
    return all(a[i] <= a[i+1] for i in range(len(a)-1))  # function to check if a list has increasing values

b = [1,2,3,4,5,4,3,2]
def incDec(b):
    a=[value for value in b if value !=0]
    r = a.index(max(a))
    if all(a[i] <= a[i+1] for i in range(len(a)-1))==1:
        return "increasing"
    elif all(a[i] >= a[i+1] for i in range(len(a)-1))==1:
        print "decreasing"
    elif increase(inc)==1 and decrease(dec)==1:
        return "increasing decreasing"
    elif decrease(inc2)==1 and increase(dec2) ==1:
        return "decreasing increasing"
print incDec(b) 

So, in conclusion, I would like to run this function on a three dimensional array instead of a list ( like in the example above- the list b) in order to see how pixel values change from band to band.

Thank you very much,