如何将不同长度的行放在一个数组中或 python 中的列表中？

Question

I have some rows like

a=[142, 205, 206, 238, 366]
b=[12,14]
c=[1, 5, 8] 

and I want to put them together in a final array or list with three rows that have different lengths. I used append, concatenate and hstack but all of them need the data have the same dimensions. What can I use please? Thanks

I mean I have a loop that I want to stick lots of rows together (in d) and read every element later from d in another loop based on the column and row of d. I have a big for loop in my code but as an example simply instead of a for consider that I want to do this procedure iteratively like below for only four rows (a,b,c,k):

d=[]

#below are rows of assumed data
a = [142, 205, 206, 238, 366]
b = [12,14]
c = [1, 5, 8]
k=[] #might have null data as well

d=[d,a]
print(d)

d=[d,b]
print(d)

d=[d,k]
print(d)

d=[d,c]
print(d)

d[1][0]

But finally this is the answer that I get:

[[], [142, 205, 206, 238, 366]]
[[[], [142, 205, 206, 238, 366]], [12, 14]]
[[[[], [142, 205, 206, 238, 366]], [12, 14]], []]
[[[[[], [142, 205, 206, 238, 366]], [12, 14]], []], [1, 5, 8]]

1

which is not right and it should be d[1][0]=142

Answer 1

Numpy does not support jagged arrays, so your best option is a list.

a = [142, 205, 206, 238, 366]
b = [12,14]
c = [1, 5, 8]

d = [a, b, c]

I'm still not entirely sure I understand your edit, but tell me if this example seems like what you're looking for:

combined_list = []

print(combined_list)

list_1 = [14, 17, 12, 16, 18, 0, 9, 11, 8,  5]
combined_list.append(list_1)
print(combined_list)

list_2 = [12, 9, 11, 4, 5]
combined_list.append(list_2)
print(combined_list)

list_3 = [2, 14, 7]
combined_list.append(list_3)
print(combined_list)

list_4 = [4, 2, 17, 9, 9, 11, 15, 14, 14]
combined_list.append(list_4)
print(combined_list)

Answer 2

d = [a,b,c] will put them in a list of lists 

to make it into an array:

import numpy as np
np.array(d)