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numpy_array_creation_reshape_and_ndarray_attributes.py

python

Demonstrates basic array creation, shape manipulation, and fundamental attributes

19d ago21 linesnumpy.org
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numpy_array_creation_reshape_and_ndarray_attributes.py
1import numpy as np
2
3# Create an array with 15 elements and reshape it into a 3x5 matrix
4a = np.arange(15).reshape(3, 5)
5
6print("Array:")
7print(a)
8
9# Display fundamental attributes
10print(f"Shape: {a.shape}")          # The dimensions of the array
11print(f"Dimensions: {a.ndim}")      # Number of axes (rank)
12print(f"Data type: {a.dtype.name}") # Type of elements in the array
13print(f"Item size: {a.itemsize}")   # Size in bytes of each element
14print(f"Total size: {a.size}")      # Total number of elements
15print(f"Type: {type(a)}")           # The class of the object
16
17# Create another array from a list
18b = np.array([6, 7, 8])
19print("\nSecond array (b):")
20print(b)
21print(f"Type of b: {type(b)}")