Matrix library (numpy.matlib)

This module contains all functions in the numpy namespace, with the following replacement functions that return matrices instead of ndarrays.

Functions that are also in the numpy namespace and return matrices

mat(data[, dtype])	Interpret the input as a matrix.
matrix(data[, dtype, copy])	Note It is no longer recommended to use this class, even for linear
asmatrix(data[, dtype])	Interpret the input as a matrix.
bmat(obj[, ldict, gdict])	Build a matrix object from a string, nested sequence, or array.

Replacement functions in matlib

empty(shape[, dtype, order])	Return a new matrix of given shape and type, without initializing entries.
zeros(shape[, dtype, order])	Return a matrix of given shape and type, filled with zeros.
ones(shape[, dtype, order])	Matrix of ones.
eye(n[, M, k, dtype, order])	Return a matrix with ones on the diagonal and zeros elsewhere.
identity(n[, dtype])	Returns the square identity matrix of given size.
repmat(a, m, n)	Repeat a 0-D to 2-D array or matrix MxN times.
rand(*args)	Return a matrix of random values with given shape.
randn(*args)	Return a random matrix with data from the “standard normal” distribution.

numpy.interp numpy.matlib.empty