Python | Numpy matrix.setfield()

Python | Numpy matrix.take()

Last Updated : 29 May, 2019

With the help of Numpy matrix.take() method, we can select the elements from a given matrix by passing the parameter as index value of that element. It will return a matrix having one dimension. Remember it will work for one axis at a time.

Syntax : matrix.take(index, axis) Return : Return matrix of selected indexes

Example #1 : In this example we can see that by selecting one index we get only one value in a matrix by using matrix.take() method.

Python3 1==

# import the important module in python
import numpy as np
            
# make matrix with numpy
gfg = np.matrix('[4, 1, 12, 3, 4, 6, 7]')
            
# applying matrix.take() method
geek = gfg.take(2)
  
print(geek)

Output:

[[12]]

Example #2 :

Python3 1==

# import the important module in python
import numpy as np
            
# make matrix with numpy
gfg = np.matrix('[4, 1, 9; 12, 3, 1; 4, 5, 6]')
            
# applying matrix.take() method
geek = gfg.take(0, 1)
  
print(geek)

Output:

[[ 4 12  4]]

Python | Numpy matrix.setfield()

J

Jitender_1998

Improve

Article Tags :

Practice Tags :

python

Similar Reads

Python | Numpy matrix.transpose()

With the help of Numpy matrix.transpose() method, we can find the transpose of the matrix by using the matrix.transpose()method in Python. Numpy matrix.transpose() Syntax Syntax : matrix.transpose() Parameter: No parameters; transposes the matrix it is called on. Return : Return transposed matrix Wh

numpy.take() in Python

The numpy.take() function returns elements from array along the mentioned axis and indices. Syntax: numpy.take(array, indices, axis = None, out = None, mode ='raise') Parameters : array : array_like, input array indices : index of the values to be fetched axis : [int, optional] axis over which we ne

Python | Numpy matrix.reshape()

With the help of Numpy matrix.reshape() method, we are able to reshape the shape of the given matrix. Remember all elements should be covered after reshaping the given matrix. Syntax : matrix.reshape(shape) Return: new reshaped matrix Example #1 : In the given example we are able to reshape the give

Python | Numpy matrix.setfield()

With the help of matrix.setfield() method, all the fields in the matrix is set to the value which is passed in the form of parameter. Syntax : matrix.setfield() Return : new matrix having the value passed as parameter Example #1 : In this example we can see that matrix.setfield() method is used to g

Python | Numpy matrix.tolist()

With the help of Numpy matrix.tolist() method, we are able to convert the matrix into a list by using the matrix.tolist() method. Syntax: matrix.tolist() Return : Return a new list Example #1 : In this example we can see that by passing the matrix we are able to convert it into list by using the mat

Python | Numpy matrix.resize()

With the help of Numpy matrix.resize() method, we are able to resize the shape of the given matrix. Remember all elements should be covered after resizing the given matrix. Syntax : matrix.resize(shape) Return: new resized matrix Example #1 : In the given example we are able to resize the given matr

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 Python

Python | Numpy matrix.round()

With the help of Numpy matrix.round() method, we are able to round off the values of the given matrix. Syntax : matrix.round() Return : Return rounded values in matrix Example #1 : In the given example we are able to round off the given matrix by using matrix.round() method. Python3 1=1 # import the

numpy.asmatrix() in Python

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 # Python Programming illustrating # numpy.asmatrix import numpy as geek # array-l

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