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Generate a 3x3 identity array. Then, convert the identity array into the 2-d float array as shown in the desired output. Must use the np.eye() function.
 
Hint: use arithmetic operations.
 
Desired output:
[[1.8 0.9 0.9]
 [0.9 1.8 0.9]
 [0.9 0.9 1.8]]

What I have tried:

<pre># 1. import numpy
import numpy as np

# 2. create a 3x3 identity array
x = np.eye(3)

# 3. convert the identity array into the desired array 
array = np.array(x)

# 4. print the desired array
print(array)
Posted
Updated 8-Dec-20 21:01pm

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Once you've called the np.eye() method, you might iterate on the array and simply add the appropriate constant, based on the current value of the item (that is 1 on the diagonal, 0 elsewhere).
   

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