Arrays Operations
NumPy arrays not only perform faster, but also support different operations, that are not available for built-in lists.
For example, you can add/subtract/multiply/divide by a certain number all the array elements. Or you can multiply two arrays element-by-element.
123456789# Import the library import numpy as np # Creating two arrays arr1 = np.array([1, 2, 3]) arr2 = np.array([10, 20, 30]) # Perform some arrays operations print(arr1 + 3) print(arr1 * arr2)
Tak for dine kommentarer!
Spørg AI
Spørg AI
Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat
Spørg mig spørgsmål om dette emne
Opsummér dette kapitel
Vis virkelige eksempler
Fantastisk!
Completion rate forbedret til 2.7
Arrays Operations
Stryg for at vise menuen
NumPy arrays not only perform faster, but also support different operations, that are not available for built-in lists.
For example, you can add/subtract/multiply/divide by a certain number all the array elements. Or you can multiply two arrays element-by-element.
123456789# Import the library import numpy as np # Creating two arrays arr1 = np.array([1, 2, 3]) arr2 = np.array([10, 20, 30]) # Perform some arrays operations print(arr1 + 3) print(arr1 * arr2)
Tak for dine kommentarer!