### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.7 Manual (DRAFT) »
- NumPy Reference »
- Routines »

# 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` | Returns a matrix from an array-like object, or from a string of data.
`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]) | 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.

### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.7 Manual (DRAFT) »
- NumPy Reference »
- Routines »