Numpy: Divide each row by a vector element
Suppose I have a numpy array:
data = np.array([[1,1,1],[2,2,2],[3,3,3]])
and I have a corresponding "vector:"
vector = np.array([1,2,3])
How do I operate on data along each row to either subtract or divide so the result is:
sub_result = [[0,0,0], [0,0,0], [0,0,0]]
div_result = [[1,1,1], [1,1,1], [1,1,1]]
Long story short: How do I perform an operation on each row of a 2D array with a 1D array of scalars that correspond to each row?