I have an array X. I want to insert elements of X at specific positions according to the list T2 and for all other positions 0.0and create a new X. For example, 4.17551036e+02 should be at X[0], 3.53856161e+02 at X[3], 2.82754301e+02 at X[5] and so on. I present the current and expected outputs.

X = np.array([4.17551036e+02, 3.53856161e+02, 2.82754301e+02, 1.34119055e+02,
       6.34573886e+01, 2.08344718e+02, 1.00000000e-24])

C1=0.0
T2=[0, 3, 5, 8, 9, 10, 11]

for i in T2:
    X = np.insert(X, i, C1, axis=None)

print("X =", [X])

The current output is

X = [array([0.00000000e+00, 4.17551036e+02, 3.53856161e+02, 0.00000000e+00,
       2.82754301e+02, 0.00000000e+00, 1.34119055e+02, 6.34573886e+01,
       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
       2.08344718e+02, 1.00000000e-24])]

The expected output is

X = [array([4.17551036e+02, 0.0, 0.0, 3.53856161e+02, 0.0,
       2.82754301e+02, 0.0, 0.0, 1.34119055e+02, 6.34573886e+01`,
       2.08344718e+02, 1.00000000e-24])]

>Solution :

I believe what you are trying to achieve is, filling the rest of the values apart from the ones in the T2 list with 0.0’s. this might help you get started

X = np.array([4.17551036e+02, 3.53856161e+02, 2.82754301e+02, 
1.34119055e+02, 6.34573886e+01, 2.08344718e+02, 1.00000000e-24])

C1=0.0
T2=[0, 3, 5, 8, 9, 10, 11]
index=0
for j in range(T2[-1]):

    if(j!=T2[index]):
        X = np.insert(X, j, C1, axis=None)
    else:
        index+=1
    
print("X =", [X])