从 csv 文件中读取两个 Numpy Arrays

Question

So i want to read two 2D-arrays A and B from a csv file as a numpy-Array
i have the following csv file with ";"seperating two arrays:

A;B  
1,1,2,2;3,3,4,4  
6,7,3,7;3,5,3,5  
1,8,5,3;6,1,7,5  

The result should be something like this

A = [[1, 1, 2, 2], [6, 7, 3, 7], [1, 8, 5, 3]]   
B = [[3, 3, 4, 4], [3, 7, 3, 7], [6, 1, 7, 5]]  

now how i am supposed to do it, i tried alot with loadtxt and genfromtxt but couldn't do it

Answer 1

Have you tried csv? I'm not posting the whole code, but something like this:

import csv

with open('fileName.csv') as file:
    csv_reader =  csv.reader(file, delimiter=',')
    for row in csv_reader:
        #do sth

Answer 2

This should work, there may be a more numpy way, but this is how i made the array:

import numpy as np
import pandas as pd
A=[]
B=[]
df1=pd.read_csv('numpy.csv', sep=";") 
for x in range(len(df1.A)):
   A.append(df1.A[x].split(','))
for x in range(len(df1.B)):
   B.append(df1.B[x].split(','))
A=np.array(A).astype(np.int)
B=np.array(B).astype(np.int)

A
#array([[1, 1, 2, 2],
#       [6, 7, 3, 7],
#       [1, 8, 5, 3]])

B
Out[251]: 
#array([[3, 3, 4, 4],
#       [3, 5, 3, 5],
#       [6, 1, 7, 5]])