numpy_quickstart_array_creation_reshape_and_basic_attributes.py

1import numpy as np
2
3# Create an array with 15 elements, then reshape it to a 3x5 matrix
4a = np.arange(15).reshape(3, 5)
5
6print("Array a:")
7print(a)
8# Output:
9# [[ 0  1  2  3  4]
10#  [ 5  6  7  8  9]
11#  [10 11 12 13 14]]
12
13print("\nShape of array:", a.shape)        # (3, 5)
14print("Number of dimensions:", a.ndim)    # 2
15print("Data type:", a.dtype.name)          # int64 (or int32)
16print("Item size (bytes):", a.itemsize)    # 8 (or 4)
17print("Total number of elements:", a.size) # 15
18print("Type of object:", type(a))          # <class 'numpy.ndarray'>
19
20# Create an array from a regular Python list
21b = np.array([6, 7, 8])
22print("\nArray b:", b)
23print("Type of b:", type(b))