To import Text files into Numpy Arrays, we can use the functions numpy.loadtxt( ) in Numpy. Syntax: numpy.loadtxt(fname, dtype = float, comments=’#’, delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0, encoding=’bytes’, max_rows=None, *, like= None)

import numpy as np

# Text file data converted to integer data type

File_data = np.loadtxt(“example1.txt”, dtype=int)

print(File_data)
Output: [[1 2 3 4] [5 6 7 8] [9 10 11 12]]

In Django, there are three possible inheritance styles:

Abstract Base Classes: This style is used when you only want parent’s class to hold information that you don’t want to type out for each child model.

Multi-table Inheritance: This style is used If you are sub-classing an existing model and need each model to have its own database table.

Proxy models: You can use this model, If you only want to modify the Python level behavior of the model, without changing the model’s fields.

Below code helps you create 1D array:

import numpy as np

# creating the list

list = [100, 200, 300, 400]

# creating 1-d array

n = np.array(list)

print(n)
Output: [100 200 300 400] Below code helps you create a 2D array:

import numpy as np

# Create a 2-dimensional array with 3 rows and 4 columns

arr = np.array([[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]])

# Print the array

print(arr)
Output: [[ 1 2 3 4] [ 5 6 7 8] [ 9 10 11 12]] Below code helps you create a 3D array:

import numpy as np

# Create a 3D array with shape (2, 3, 4)
nested_list = [[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]],
[[13, 14, 15, 16], [17, 18, 19, 20], [21, 22, 23, 24]]]
arr = np.array(nested_list)

print(arr)
Output: [[[ 1 2 3 4] [ 5 6 7 8] [ 9 10 11 12]] [[13 14 15 16] [17 18 19 20] [21 22 23 24]]]