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Exercises
Exercises
NumPy Exercise
Create a NumPy array with the elements [1, 2, 3, 4, 5].
import numpy as np
arr = np.array([1, 2, 3, 4, 5])
print(arr)
Create a 2D NumPy array (matrix) with the following elements:
[[1, 2, 3],
[4, 5, 6]]
import numpy as np
arr = np.array([[1, 2, 3], [4, 5, 6]])
print(arr)
Create a NumPy array of size (3, 3) filled with zeros.
import numpy as np
arr = np.zeros((3, 3))
print(arr)
Create a NumPy array of size (2, 4) filled with random numbers between 0 and 1.
import numpy as np
arr = np.random.rand(2, 4)
print(arr)
Compute the mean of the following array:
#array
arr = [1, 2, 3, 4, 5]
#solution
import numpy as np
arr = np.array([1, 2, 3, 4, 5])
mean_value = np.mean(arr)
print(mean_value)
Find the maximum value in the following array:
#array
arr = [10, 20, 5, 30, 15]
#solution
import numpy as np
arr = np.array([10, 20, 5, 30, 15])
max_value = np.max(arr)
print(max_value)
Compute the dot product of two arrays:
#array
arr1 = [1, 2, 3]
arr2 = [4, 5, 6]
#solution
import numpy as np
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
dot_product = np.dot(arr1, arr2)
print(dot_product)
Add two NumPy arrays element-wise:
#array
arr1 = [1, 2, 3]
arr2 = [4, 5, 6]
#solution
import numpy as np
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
result = arr1 + arr2
print(result)
Reshape a 1D array [1, 2, 3, 4, 5, 6] into a 2D array of shape (2, 3).
import numpy as np
arr = np.array([1, 2, 3, 4, 5, 6])
reshaped_arr = arr.reshape(2, 3)
print(reshaped_arr)
Given the following 2D array, Extract the subarray.
#given 2d array
[[1, 2, 3],
[4, 5, 6],
[7, 8, 9]]
#extract the subarry
[[2, 3],
[5, 6]]
#solution
import numpy as np
arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
subarray = arr[0:2, 1:3]
print(subarray)- All Posts
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