Numpy

Question 1

Create a numpy array with numbers from 0-9

Answer 1

import numpy as np
array = np.arange(10)

Question 2

Create a 3x3 NumPy array filled with zeros.

Answer 2

import numpy as np
array = np.zeros((3, 3))

Question 3

Create a 3x3 NumPy array filled with random values.

Answer 3

import numpy as np
array = np.random.rand(3, 3)

Question 4

Create a NumPy array containing all even integers between 0 and 20.

Answer 4

import numpy as np
array = np.linspace(0, 1, 10)

Question 5

Create a NumPy array containing 10 equally spaced values between 0 and 1.

Answer 5

import numpy as np
array = np.linspace(0, 1, 10)

Question 6

Reshape a 1D NumPy array into a 2D array with 2 rows.

Answer 6

import numpy as np
array = np.array([[1, 2, 3], [4, 5, 6]])
transposed_array = array.T

Question 7

Multiply two NumPy arrays element-wise.

Answer 7

import numpy as np
array1 = np.array([[1, 2], [3, 4]])
array2 = np.array([[5, 6], [7, 8]])
result = array1 * array2

Question 8

Concatenate two NumPy arrays horizontally.

Answer 8

import numpy as np
array1 = np.array([1, 2, 3])
array2 = np.array([4, 5, 6])
concatenated_array = np.concatenate((array1, array2))

Question 9

Perform element-wise comparison between two NumPy arrays.

Answer 9

import numpy as np
array1 = np.array([1, 2, 3])
array2 = np.array([2, 2, 3])
comparison = np.equal(array1, array2)

Question 10

Compute the Euclidean distance between two points represented by NumPy arrays.

Answer 10

import numpy as np
point1 = np.array([1, 2, 3])
point2 = np.array([4, 5, 6])
euclidean_distance = np.linalg.norm(point1 - point2)

Question 11

Find the unique elements in a NumPy array.

Answer 11

import numpy as np
array = np.array([1, 2, 2, 3, 3, 4, 4])
unique_values = np.unique(array)

Question 12

Reverse the order of elements in a NumPy array.

Answer 12

import numpy as np
array = np.arange(10)
reversed_array = np.flip(array)

Question 13

Transpose a 2D NumPy array.

Answer 13

import numpy as np
array = np.array([[1, 2, 3], [4, 5, 6]])
transposed_array = array.T

Question 14

Compute the exponential of each element in a NumPy array.

Answer 14

import numpy as np
array = np.array([1, 2, 3])
exp_array = np.exp(array)