numpy.bmat() in Python

numpy.asmatrix() in Python

Last Updated : 29 Nov, 2018

numpy.asmatrix(data, dtype = None) Returns a matrix by interpreting the input as a matrix.
Parameters :

data  : array-like input data 
dtype : Data type of returned array

Returns :

Interprets the input as a matrix

# Python Programming illustrating 
# numpy.asmatrix 
  
import numpy as geek 
  
# array-like input 
b = geek.matrix([[5, 6, 7], [4, 6]]) 
print("Via array-like input : \n", b, "\n") 
  
c = geek.asmatrix(b) 
b[0, 1] = 10
print("c matrix : \n", c) 

Output :

Via array-like input : 
 [[[5, 6, 7] [4, 6]]] 

c matrix : 
 [[[5, 6, 7] 10]]

Note : These NumPy-Python programs won’t run on onlineID, so run them on your systems to explore them
.

numpy.bmat() in Python

M

Mohit Gupta_OMG

Improve

Article Tags :

Practice Tags :

python

Similar Reads

numpy.amax() in Python

The numpy.amax() method returns the maximum of an array or maximum along the axis(if mentioned). Syntax: numpy.amax(arr, axis = None, out = None, keepdims = <class numpy._globals._NoValue>) Parameters - arr : [array_like] input dataaxis : [int or tuples of int] axis along which we want the max

Python | Numpy numpy.matrix.A()

With the help of Numpy numpy.matrix.A() method, we can get the same matrix as self. It means through this method we can get the identical matrix. Syntax : numpy.matrix.A() Return : Return self matrix Example #1 : In this example we can see that with the help of matrix.A() method, we are able to get

numpy.bmat() in Python

numpy.bmat(obj, l_dict = None, g_dict = None) : Return specialised 2-D matrix from nested objects that can be string-like or array-like. Parameters : object : array-like or string l_dict : (dict, optional) replaces local operands, A dictionary that replaces local operands in current frame g_dict : (

numpy.asarray() in Python

numpy.asarray()function is used when we want to convert input to an array. Input can be lists, lists of tuples, tuples, tuples of tuples, tuples of lists and arrays. Syntax : numpy.asarray(arr, dtype=None, order=None) Parameters : arr : [array_like] Input data, in any form that can be converted to a

numpy.matrix() in Python

This class returns a matrix from a string of data or array-like object. Matrix obtained is a specialised 2D array. Syntax : numpy.matrix(data, dtype = None) : Parameters : data : data needs to be array-like or string dtype : Data type of returned array. Returns : data interpreted as a matrix # Pytho

numpy.asfarray() in Python

numpy.asfarray()function is used when we want to convert input to a float type array. Input includes scalar, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays. Syntax : numpy.asfarray(arr, dtype=type 'numpy.float64') Parameters : arr : [array_like] Input data, in any for

Python | Numpy matrix.getA()

With the help of Numpy matrix.getA() method, we can get the ndarray of the same size as of our given matrix. Syntax : matrix.getA() Return : Return ndarray of same size as given matrix Example #1 : In this example we can see that we are able to get the numpy array with the help of method matrix.getA

Python | Numpy numpy.matrix.all()

With the help of Numpy numpy.matrix.all() method, we are able to compare each and every element of one matrix with another or we can provide the axis on the we want to apply comparison. Syntax : numpy.matrix.all() Return : Return true if found match else false Example #1 : In this example we can see

Python | Numpy numpy.matrix.any()

With the help of Numpy numpy.matrix.any() method, we are able to compare each and every element of one matrix with another or we can provide the axis on the we want to apply comparison if any of the element matches it return true. Syntax : numpy.matrix.any() Return : Return true if any match found e

Python | Numpy matrix.getA1()

With the help of Numpy matrix.getA1() method, we can get the ndarray of one dimension as of our given matrix. Syntax : matrix.getA1() Return : Return ndarray of size 1-D as given matrix Example #1 : In this example we can see that we are able to get the numpy array with the help of method matrix.get