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 0.0
and 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])]
CodePudding user response:
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])
CodePudding user response:
from array import *
X=array('f',[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]
Y=array('f',[])
i=0
for j in range (T2[-1] 1):
if T2[i] == j:
Y.append(X[i])
i =1
else:
Y.append(C1)
print(Y)