将字符串列表转换为逗号分隔的2D NumPy

Question

I have a dataset like the following:

0000000000000001,0
0000000000000010,0
0000000000000011,1
0000000000000100,1
0000000000000101,1
0000000000000110,0
0000000000000111,1
0000000000001000,0
0000000000001001,0
.
.
.

I want to convert the first column from each row to be a comma seperated something like this:

From 0000000000000001,0 to 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0

The following code has a small issue: full_data is not 2D numpy of integers, yet it is 1D of string. I am not sure how to fix that. Any hint is appreciated.

data = []
my_data = np.genfromtxt('file.csv', delimiter=',',  dtype='str')[:,0]
for i in my_data:
    x= np.asarray(i)
    data.append(x.tolist())

full_data = np.asarray(data)

Thank you

Answer 1

This is one approach.

Demo:

import numpy as np

data = []
my_data = np.genfromtxt(filename, delimiter=',',  dtype='str')

data = [list(i) + [j] for i, j in my_data]
print(data)

Output:

[
    ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '0'], 
    ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '0', '0'], 
    ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '1', '1'], 
    ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '0', '0', '1'], 
    ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '0', '1', '1'], 
    ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '1', '0', '0'], 
    ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '1', '1', '1'], 
    ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '0', '0', '0', '0'], 
    ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '0', '0', '1', '0']
]