row_sum

Builtin index · Core maths

result = row_mean(M)

Input: M · Output: result

What it is

Collapses each row of M (an r×c Mat, or anything coercible to one) to one number, returning an r×1 column Mat (not a plain Vec). mean(M, axis = 0) collapses columns instead and returns a plain Vec — the axes are 0 and 1, not 1 and 2, and note the different return container (Mat here vs. Vec for the axis= form).

Overloads

One call shape — this function is not overloaded.

Examples

From the documentation, and run by the build -- the output and the figure below are what the engine actually produced. Simplest first.

g = meshgrid([1, 2, 3], [1, 2])
print(g.x)   # x-coordinate at every grid point

print(g.y)   # y-coordinate at every grid point


M = [1, 2, 3; 4, 5, 6]
print(ones_like(M))
print(zeros_like(M))
print("row_mean={row_mean(M)}  row_sum={row_sum(M)}")

[1, 2, 3; 1, 2, 3]
[1, 1, 1; 2, 2, 2]
[1, 1, 1; 1, 1, 1]
[0, 0, 0; 0, 0, 0]
row_mean=[2; 5]  row_sum=[6; 15]

from core-math

See also

row_mean — documented in the same entry.