This Stackoverflow question brings the confusing matrix dimensions used in theimshow documentation to our attention.

According to the docstring one may use arrays of shapes(n, m) etc. which are then namedMxN.

However, according towikipedia

A matrix with m rows and n columns is called an m × n matrix or m-by-n matrix.

This is also the convention used by numpy, e.g. thearrays.ndarray.html speaks about

A 2-dimensional array of size 2 x 3, composed of 4-byte integer elements:
x = np.array([[1, 2, 3], [4, 5, 6]], np.int32)

The documentation should therefore either speak of

• shape(n, m), orn x m array (nxm looks strange)
• shape(N, M) orNxM array
• shape(m, n) orm x n array
• shape(M, N) orM x N array

Now, which is better? All capitalized or not,n orm being rows?