NumPy Library
NumPy is a library in python that is created to work efficiently with arrays in python. It is fast, easy to learn, and provides efficient storage. It also provides a better way of handling data for the process. We can create an n-dimensional array in NumPy. To use NumPy simply have to import it in our program and then we can easily use the functionality of NumPy in our program.
NumPy is a Python library that is frequently used for scientific and statistical analysis. NumPy arrays are grids of the same datatype’s values.
Numpy matrix.tobytes() Function:
The matrix.tobytes() method in the Numpy module can be used to get the byte code for the matrix.
Syntax:
matrix.tobytes()
Return Value:
The byte code for the given matrix is returned by the tobytes() function.
Numpy matrix.tobytes() Function in Python
For 2-Dimensional (2D) Matrix
Approach:
- Import numpy module using the import keyword
- Create a matrix(2-Dimensional) using the matrix() function of numpy module by passing some random 2D matrix as an argument to it and store it in a variable
- Apply tobytes() function on the given matrix to get the byte code for the given matrix.
- Store it in another variable
- Print the byte code for the given matrix.
- The Exit of the Program.
Below is the implementation:
# Import numpy module using the import keyword import numpy as np # Create a matrix(2-Dimensional) using the matrix() function of numpy module by passing # some random 2D matrix as an argument to it and store it in a variable gvn_matrx = np.matrix('[2, 1; 6, 3]') # Apply tobytes() function on the given matrix to get the byte code for the given matrix. # Store it in another variable rslt = gvn_matrx.tobytes() # Print the byte code for the given matrix. print(rslt)
Output:
b'\x02\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x06\x00\ x00\x00\x00\x00\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00'
For 3-Dimensional (3D) Matrix
Approach:
- Import numpy module using the import keyword
- Create a matrix(3-Dimensional) using the matrix() function of numpy module by passing some random 3D matrix as an argument to it and store it in a variable
- Apply tobytes() function on the given matrix to get the byte code for the given matrix.
- Store it in another variable
- Print the byte code for the given matrix.
- The Exit of the Program.
Below is the implementation:
# Import numpy module using the import keyword import numpy as np # Create a matrix(3-Dimensional) using the matrix() function of numpy module by passing # some random 3D matrix as an argument to it and store it in a variable gvn_matrx = np.matrix('[2, 4, 1; 8, 7, 3; 10, 9, 5]') # Apply tobytes() function on the given matrix to get the byte code for the given matrix. # Store it in another variable rslt = gvn_matrx.tobytes() # Print the byte code for the given matrix. print(rslt)
Output:
b'\x02\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00\x00\x00\x00\x00\x01\x00\ x00\x00\x00\x00\x00\x00\x08\x00\x00\x00\x00\x00\x00\x00\x07\x00\x00\x00\x00\ x00\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00\n\x00\x00\x00\x00\x00\x00\x00\t\ x00\x00\x00\x00\x00\x00\x00\x05\x00\x00\x00\x00\x00\x00\x00'