Lists into Array (Python)-CodePudding

I have 3 lists and I need them to be 1 np.array() with 3 rows. The append method has not been working because it is created 3 separate arrays.

A = array([[1, 4, 1],
       [4, 1, 9],
       [1, 9, 1]])

[0.01665703 0.06662812 0.01665703]
[0.00049017 0.00012254 0.00110289]
[0.00012333 0.00110994 0.00012333]

ideal output (dtype: numpy.ndarray):

[[0.01665703 0.06662812 0.01665703]
 [0.00049017 0.00012254 0.00110289]
[0.00012333 0.00110994 0.00012333]]

Attempted Code:

em = []
for list in A:
    result = list / np.exp(list).sum(axis=0)   
    em.append(result)

Attempted code's output:

[array([0.01665703, 0.06662812, 0.01665703]),
 array([0.00049017, 0.00012254, 0.00110289]),
 array([0.00012333, 0.00110994, 0.00012333])]

CodePudding user response：

import numpy as np

list_1 = [0.01665703, 0.06662812, 0.01665703]
list_2 = [0.00049017, 0.00012254, 0.00110289]
list_3 = [0.00012333, 0.00110994, 0.00012333]
combined = np.array([
    list_1,
    list_2,
    list_3
])

CodePudding user response：

Is this what you want? This gives you the ideal output you specified. probably not the best way to do it, but it works


import numpy as np

myList_1 = [0.01665703, 0.06662812, 0.01665703]
myList_2 = [0.00049017, 0.00012254, 0.00110289]
myList_3 = [0.00012333, 0.00110994, 0.00012333]




print(np.array([myList_1, myList_2, myList_3]))