Hi,
Thanks for your help.
I tried np.diff() before, but the result looked like this:
RESULT = [1, 1, 1, 1]
So I was thinking that np.diff() doesn't iterate over the values of
the array. So I gave the for-loop a try.
Now, seeing your code below, I realized that my mistake was that I
used ARRAY =
Hello Manuel,
the discrete difference of a numpy array can be written in a very
natural way, without loops. Below are two possible ways to do it:
>>> a = np.arange(10)**2
>>> a
array([ 0, 1, 4, 9, 16, 25, 36, 49, 64, 81])
>>> a[1:] - a[:-1]
array([ 1, 3, 5, 7, 9, 11, 13, 15, 17])
>>> np.di
On Sat, Jan 2, 2010 at 7:23 PM, Manuel Wittchen
wrote:
> Hi,
>
> I want to calculate the difference between the values of a
> numpy-array. The formula is:
>
> deltaT = t_(n+1) - t_(n)
>
> My approach to calculate the difference looks like this:
>
> for i in len(ARRAY):
> delta_t[i] = ARRAY[
Hi,
I want to calculate the difference between the values of a
numpy-array. The formula is:
deltaT = t_(n+1) - t_(n)
My approach to calculate the difference looks like this:
for i in len(ARRAY):
delta_t[i] = ARRAY[(i+1):] - ARRAY[:(len(ARRAY)-1)]
print "result:", delta_t
But I get a T
