Numpy exercices notebook

Exercice 1:¶

Create a 1-dimensional NumPy array with 5 integers from 0 to 4.

In [ ]:

import numpy as np

a = np.array([0, 1, 2, 3, 4])
print(a)

import numpy as np a = np.array([0, 1, 2, 3, 4]) print(a)

Exercice 2:¶

Create a 2-dimensional NumPy array with shape (2, 3) containing only ones.

In [ ]:

a = np.ones((2, 3))
print(a)

a = np.ones((2, 3)) print(a)

Exercice 3:¶

Create a 3-dimensional NumPy array with shape (2, 3, 4) containing only zeros.

In [ ]:

a = np.zeros((2, 3, 4))
print(a)

a = np.zeros((2, 3, 4)) print(a)

Exercice 4:¶

Create a 2-dimensional NumPy array with shape (3, 4) containing random integers between 0 and 9.

In [ ]:

a = np.random.randint(0, 10, size=(3, 4))
print(a)

a = np.random.randint(0, 10, size=(3, 4)) print(a)

Exercice 5:¶

Create a 2-dimensional NumPy array with shape (3, 4) and find its dimensions and size.

In [ ]:

a = np.zeros((3, 4))
print("Dimensions:", a.ndim)
print("Shape:", a.shape)
print("Size:", a.size)

a = np.zeros((3, 4)) print("Dimensions:", a.ndim) print("Shape:", a.shape) print("Size:", a.size)

Exercice 6:¶

Create a 2-dimensional NumPy array with shape (3, 4) and calculate the sum of all its elements.

In [ ]:

a = np.random.randint(0, 10, size=(3, 4))
print(a)
print("Sum:", np.sum(a))

a = np.random.randint(0, 10, size=(3, 4)) print(a) print("Sum:", np.sum(a))

Exercice 7:¶

Create a 2-dimensional NumPy array with shape (3, 4) and find the minimum and maximum value in each row.

In [ ]:

a = np.random.randint(0, 10, size=(3, 4))
print(a)
print("Minimum values:", np.min(a, axis=1))
print("Maximum values:", np.max(a, axis=1))

a = np.random.randint(0, 10, size=(3, 4)) print(a) print("Minimum values:", np.min(a, axis=1)) print("Maximum values:", np.max(a, axis=1))

Exercice 8:¶

Create a 2-dimensional NumPy array with shape (3, 4) and replace all the odd numbers with -1.

In [ ]:

a = np.random.randint(0, 10, size=(3, 4))
print("Before:", a)
a[a % 2 == 1] = -1
print("After:", a)

a = np.random.randint(0, 10, size=(3, 4)) print("Before:", a) a[a % 2 == 1] = -1 print("After:", a)

Exercice 9:¶

Create a 2-dimensional NumPy array with shape (3, 4) and extract the elements in the second and third row and the second and third column.

In [ ]:

a = np.random.randint(0, 10, size=(3, 4))
print(a)
b = a[1:3, 1:3]
print(b)

a = np.random.randint(0, 10, size=(3, 4)) print(a) b = a[1:3, 1:3] print(b)

Exercice 10:¶

Create a 2-dimensional NumPy array with shape (3, 4) and multiply each element by 2.

In [ ]:

a = np.random.randint(0, 10, size=(3, 4))
print("Before:", a)
a = a * 2
print("After:", a)

a = np.random.randint(0, 10, size=(3, 4)) print("Before:", a) a = a * 2 print("After:", a)