Sigma Notation in Python
Solution 1
Did you try something like this instead of using Numpy.sum() function?
def new_sum(i,j):
hi=0
for n in range(j+1):
hi+= A[i][n]*Network[n]
return hi
The numpy sum() function just return the sum of all the elements in an array. The parameter you are giving to it is just a case and not an array to sum. So you are returning the sum of one element : this element.
Solution 2
It looks like a vector product followed by a sum along the resulting array. You could do something like this:
sigma = lambda x, y: np.sum(np.dot(x,y))
hi = sigma(A, Network)
user2509830
Updated on June 04, 2022Comments
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user2509830 almost 2 years
I am trying to create a sigma sum in python.
I have a 100 by 100 matrix (created with numpy) and I have a list of 100 values. My matrix is the variable A, and my list is the variable Network.
The sum should look like so.
hi= Sigma( (A[i][j])* Network[j])
i and j in the matrix refer to the specific value, and j in Network refers to the value in the list.
so, if I wanted h67, the sum would be:
(A[67][67]*Network[67]) + (A[67][66]*Network[66]) + (A[67][65*Network[65]) + ... (A[67][0]*Network[0]).
My code is as follows, but I don't think it is right.
def new_sum(i,j): hi=0 hi+= numpy.sum((A[i][j]*Network[j])) return hi
What should I do?