Introduction to np.array([(1,2),(3,4)], dtype)

The np.array([(1,2),(3,4)], dtype) creates a 2-dimensional NumPy array with two rows and two columns. The elements of the array are integer values 1, 2, 3, and 4.

import numpy as np

arr = np.array([(1,2),(3,4)], dtype=int)
print(arr)

Output:
[[1 2]
 [3 4]]

The dtype argument specifies the data type of the array. In this case, we have specified int as the data type.

Some other important properties of this array are:

• shape: The shape property returns the dimensions of the array.
• size: The size property returns the total number of elements in the array.
• ndim: The ndim property returns the number of dimensions of the array.
• dtype: The dtype property returns the data type of the array.

print(arr.shape)
print(arr.size)
print(arr.ndim)
print(arr.dtype)

Output:
(2, 2)
4
2
int64

We can also perform various operations on this array, such as indexing, slicing, and arithmetic operations.

print(arr[0,0])            # 1
print(arr[:,1])            # [2 4]
print(arr + 1)             # [[2 3]
                           #  [4 5]]

Overall, the np.array([(1,2),(3,4)], dtype) creates a useful 2-dimensional NumPy array for performing data analysis and other scientific computations.