NumPy - Matrix Library

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NumPy package contains a Matrix library numpy.matlib. This module has functions that return matrices instead of ndarray objects.

matlib.empty()

The matlib.empty() function returns a new matrix without initializing the entries. The function takes the following parameters.

numpy.matlib.empty(shape, dtype, order)

Where,

Sr.No. Parameter & Description
1

shape

int or tuple of int defining the shape of the new matrix
2

Dtype

Optional. Data type of the output
3

order

C or F

Example

Live Demo 
import numpy.matlib 
import numpy as np 

print np.matlib.empty((2,2)) 
# filled with random data

It will produce the following output −

[[ 2.12199579e-314,   4.24399158e-314] 
 [ 4.24399158e-314,   2.12199579e-314]]

numpy.matlib.zeros()

This function returns the matrix filled with zeros.

Live Demo 
import numpy.matlib 
import numpy as np 
print np.matlib.zeros((2,2))

It will produce the following output −

[[ 0.  0.] 
 [ 0.  0.]]

numpy.matlib.ones()

This function returns the matrix filled with 1s.

Live Demo 
import numpy.matlib 
import numpy as np 
print np.matlib.ones((2,2))

It will produce the following output −

[[ 1.  1.] 
 [ 1.  1.]]

numpy.matlib.eye()

This function returns a matrix with 1 along the diagonal elements and the zeros elsewhere. The function takes the following parameters.

numpy.matlib.eye(n, M,k, dtype)

Where,

Sr.No. Parameter & Description
1

n

The number of rows in the resulting matrix
2

M

The number of columns, defaults to n
3

k

Index of diagonal
4

dtype

Data type of the output

Example

Live Demo 
import numpy.matlib 
import numpy as np 
print np.matlib.eye(n = 3, M = 4, k = 0, dtype = float)

It will produce the following output −

[[ 1.  0.  0.  0.] 
 [ 0.  1.  0.  0.] 
 [ 0.  0.  1.  0.]]

numpy.matlib.identity()

The numpy.matlib.identity() function returns the Identity matrix of the given size. An identity matrix is a square matrix with all diagonal elements as 1.

Live Demo 
import numpy.matlib 
import numpy as np 
print np.matlib.identity(5, dtype = float)

It will produce the following output −

[[ 1.  0.  0.  0.  0.] 
 [ 0.  1.  0.  0.  0.] 
 [ 0.  0.  1.  0.  0.] 
 [ 0.  0.  0.  1.  0.] 
 [ 0.  0.  0.  0.  1.]]

numpy.matlib.rand()

The numpy.matlib.rand() function returns a matrix of the given size filled with random values.

Example

Live Demo 
import numpy.matlib 
import numpy as np 
print np.matlib.rand(3,3)

It will produce the following output −

[[ 0.82674464  0.57206837  0.15497519] 
 [ 0.33857374  0.35742401  0.90895076] 
 [ 0.03968467  0.13962089  0.39665201]]

Note that a matrix is always two-dimensional, whereas ndarray is an n-dimensional array. Both the objects are inter-convertible.

Example

Live Demo 
import numpy.matlib 
import numpy as np  

i = np.matrix('1,2;3,4') 
print i

It will produce the following output −

[[1  2] 
 [3  4]]

Example

import numpy.matlib 
import numpy as np  

j = np.asarray(i) 
print j

It will produce the following output −

[[1  2] 
 [3  4]]

Example

import numpy.matlib 
import numpy as np  

k = np.asmatrix (j) 
print k

It will produce the following output −

[[1  2] 
 [3  4]]
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