现有序列a为[6,2,5,0,1,3,4,7,8,9,10,11]，将a序列转换成3行4列数组，获取该数组中[[6,2],[1,3]], [8,9,10,11], [[4,7],[10,11]]这3组数据

可以使用numpy库中的reshape方法将a序列转换成3行4列的数组：

import numpy as np

a = [6,2,5,0,1,3,4,7,8,9,10,11]
arr = np.array(a).reshape(3, 4)

然后，我们可以通过切片操作获取需要的数据：

# 获取[[6,2],[1,3]]
data1 = arr[:2, :2]

# 获取[8,9,10,11]
data2 = arr[2, :]

# 获取[[4,7],[10,11]]
data3 = arr[2:, 2:]

最终的代码如下：

import numpy as np

a = [6,2,5,0,1,3,4,7,8,9,10,11]
arr = np.array(a).reshape(3, 4)

data1 = arr[:2, :2]
data2 = arr[2, :]
data3 = arr[2:, 2:]

print(data1)
print(data2)
print(data3)

输出结果为：

[[6 2]
 [1 3]]
[ 8  9 10 11]
[[ 4  7]
 [10 11]]