如何在python中拆分表中的两列

有一个数据表

1 2

1 3

33 34

10 22

11 23

25 26

27 28

.....

现在我需要将两列中的数据拆分，并将它们合并到一个列表中。我在下面编写的代码适用于一位数，但不适用于两位数或三位数

myfile = open("karate.txt","r") #read and write to a file 

for line in myfile.read():   # read data in the file
    fields = ' '.join(line.split()) # split columns of table based on space   
    print fields
    rows = map(int,fields) # converting tuple to integer
    data.extend(rows)

上述数据的此代码输出为

1


2


1


3


3

3


3

4


1

但我需要输出作为

1

2

1

3

33

34

11

23

25

26

27

28

---

这个问题基本上可以分为两个阶段：将数字作为包含列表的列表读入，然后

这将打印出您要查找的输出

# Method 1
fields = []
with open("testfile.txt") as infile:
    for line in infile:
        fields.extend(line.split())  # Note that the elements are "strings".

print("-" * 50)
print(fields)
print("-" * 50)
print("On separate lines")
print('\n'.join(fields))
print("-" * 50)
print("With lines in between")
print("\n\n".join(fields))
print("-" * 50)

# Method 2
fields = []
with open("testfile.txt") as infile:
    map(lambda line: fields.extend(line.split()), infile)

print("A slightly shorter implementation")
print(fields)
print("-" * 50)

输出：

--------------------------------------------------
['1', '2', '1', '3', '33', '34', '10', '22', '11', '23', '25', '26', '27', '28']
--------------------------------------------------
On separate lines
1
2
1
3
33
34
10
22
11
23
25
26
27
28
--------------------------------------------------
With lines in between
1

2

1

3

33

34

10

22

11

23

25

26

27

28
--------------------------------------------------
A slightly shorter implementation
['1', '2', '1', '3', '33', '34', '10', '22', '11', '23', '25', '26', '27', '28']
--------------------------------------------------

---

您是否尝试使用

np.loadtxt

加载该文件。然后将数据加载为矩阵，我认为这更容易处理。我知道numpy会更容易处理，但我的教授不允许我们使用numpy结构，所以这必须是更简单的方法。。。但是谢谢你的回答…但是你却用numpy标签来标记你的问题。。。

--------------------------------------------------
['1', '2', '1', '3', '33', '34', '10', '22', '11', '23', '25', '26', '27', '28']
--------------------------------------------------
On separate lines
1
2
1
3
33
34
10
22
11
23
25
26
27
28
--------------------------------------------------
With lines in between
1

2

1

3

33

34

10

22

11

23

25

26

27

28
--------------------------------------------------
A slightly shorter implementation
['1', '2', '1', '3', '33', '34', '10', '22', '11', '23', '25', '26', '27', '28']
--------------------------------------------------