NUMPY BASIC EXERCISE 3
Create a program that returns True when all elements passed to the array are True.
Note: np.all() is a function that returns True when all elements of ndarray passed to the first parameter are True, and returns False otherwise.
Code
import numpy as np arr = np.array([1,2,3,4,5,6,7,8,9,10]) print("Initial array:") print(arr) print("Applying the np.all() function") print(np.all(arr)) arr = np.array([0,1,2,3,4,5,6,7,8,9,10]) print("Array with a zero:") print(arr) print("Applying the np.all() function again") print(np.all(arr))
Output
Initial array: [ 1 2 3 4 5 6 7 8 9 10] Applying the np.all() function True Array with a zero: [ 0 1 2 3 4 5 6 7 8 9 10] Applying the np.all() function again False
Code Editor
import numpy as np
arr = np.array([1,2,3,4,5,6,7,8,9,10])
print("Initial array:")
print(arr)
print("Applying the np.all() function")
print(np.all(arr))
arr = np.array([0,1,2,3,4,5,6,7,8,9,10])
print("Array with a zero:")
print(arr)
print("Applying the np.all() function again")
print(np.all(arr))