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
<<winmail.dat>>
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