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:
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import numpy as np
arr = np.array([7, 43, 56, 123, 10, 3])
x = arr.copy()
arr[0] = 42
print(arr)
print(x)
123456789import 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.
Løsning
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import numpy as np
# 1. Create an array
arr_1 = np.array([12, 56, 78, 65, 1, 5])
# 2. Copying the array
arr_2 = arr_1.copy()
# 3. Replacing the element 12 with 11, and the element 65 with 0
arr_1[0] = 11
arr_1[3] = 0
print(arr_1)
print(arr_2)
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Sektion 4. Kapitel 5
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import numpy as np
# 1. Create an array
arr_1 = np.___([12, 56, 78, 65, 1, 5])
# 2. Copying the array
arr_2 = arr_1.___()
# 3. Replacing the element 12 with 11, and the element 65 with 0
arr_1[___] = ___
arr_1[___] = ___
print(arr_1)
print(arr_2)
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