The general guideline: Suppose the function definition is:
def func(x,y): # x and y are scalars bla bla bla ... return z # a scalar So, import numpy as np vecfun = np.vectorize(func) vecfun.ufunc.accumulate(array((0,1,2,3,4,5,6,7,8,9)) Nadav. -----Original Message----- From: numpy-discussion-boun...@scipy.org on behalf of Vishal Rana Sent: Sun 28-Mar-10 21:19 To: Discussion of Numerical Python Subject: [Numpy-discussion] Applying formula to all in an array which hasvalue from previous Hi, For a numpy array: array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) I do some calculation with 0, 1... and get a value = 2.5, now use this value to do the repeat the same calculation with next element for example... 2.5, 2 and get a value = 3.1 3.1, 3 and get a value = 4.2 4.2, 4 and get a value = 5.1 .... .... and get a value = 8.5 8.5, 9 and get a value = 9.8 So I should be getting a new array like array([0, 2.5, 3.1, 4.2, 5.1, ..... 8.5,9.8]) Is it where numpy or scipy can help? Thanks Vishal
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