w3resource

NumPy: Create a 2-dimensional array of size 2 x 3

NumPy: Array Object Exercise-37 with Solution

Write a NumPy program to create a 2-dimensional array of size 2 x 3 (composed of 4-byte integer elements), also print the shape, type and data type of the array.

Pictorial Presentation:

Python NumPy: Create a  2-dimensional array of size 2 x 3

Sample Solution:

Python Code:

# Importing the NumPy library with an alias 'np'
import numpy as np

# Creating a 2D NumPy array with two rows and three columns with data type np.int32
x = np.array([[2, 4, 6], [6, 8, 10]], np.int32)

# Checking and displaying the type of variable 'x'
print(type(x))

# Displaying the shape of the NumPy array 'x' (number of rows, number of columns)
print(x.shape)

# Displaying the data type of the elements in the array 'x'
print(x.dtype) 

Sample Output:

<class 'numpy.ndarray'>                                                
(2, 3)                                                                 
int32 

Explanation:

In the above code -

x = np.array([[2, 4, 6], [6, 8, 10]], np.int32): The current line creates a two-dimensional NumPy array x with two rows and three columns using the provided list of lists. The data type of the array is specified as np.int32 (32-bit integers).

print(type(x)): The current line prints the type of the ‘x’ array, which is <class 'numpy.ndarray'>.

print(x.shape): The current line prints the shape of the ‘x’ array, which is (2, 3) - two rows and three columns.

print(x.dtype): The current line prints the data type of the elements in the ‘x’ array, which is int32, as specified during the array creation.

Python-Numpy Code Editor:

Previous: Write a NumPy program to create a contiguous flattened array.
Next: Write a NumPy program to create a new shape to an array without changing its data.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Become a Patron!

Follow us on Facebook and Twitter for latest update.

It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.

https://198.211.115.131/python-exercises/numpy/python-numpy-exercise-37.php