Course Content
NumPy in a Nutshell
NumPy in a Nutshell
Copying Arrays
It's worth noting that NumPy offers various methods for duplicating arrays. In this section, we'll explore one of these methods, namely: .copy().
Note
The
.copy()method creates a new array with the data from the original one.
Using the .copy() method:
import numpy as np arr = np.array([7, 43, 56, 123, 10, 3]) x = arr.copy() arr[0] = 42 print(arr) print(x)
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You have the following array: [12, 56, 78, 65, 1, 5].
You have to obtain the following arrays using the correct method:
arr_1 = [11, 56, 78, 0, 1, 5]
arr_2 = [12, 56, 78, 65, 1, 5]
Replace element 12 with 11, and element 65 with 0.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
Copying Arrays
It's worth noting that NumPy offers various methods for duplicating arrays. In this section, we'll explore one of these methods, namely: .copy().
Note
The
.copy()method creates a new array with the data from the original one.
Using the .copy() method:
import numpy as np arr = np.array([7, 43, 56, 123, 10, 3]) x = arr.copy() arr[0] = 42 print(arr) print(x)
Swipe to show code editor
You have the following array: [12, 56, 78, 65, 1, 5].
You have to obtain the following arrays using the correct method:
arr_1 = [11, 56, 78, 0, 1, 5]
arr_2 = [12, 56, 78, 65, 1, 5]
Replace element 12 with 11, and element 65 with 0.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
Switch to desktop for real-world practiceContinue from where you are using one of the options below