P17315 [HackerRank] Np transpose and flatten
普及-
题目描述

Transpose

We can generate the transposition of an array using the tool numpy.transpose.

It will not affect the original array, but it will create a new array.

import numpy

my_array = numpy.array([[1,2,3],
[4,5,6]])
print numpy.transpose(my_array)

Output

[[1 4]
[2 5]
[3 6]]

Flatten

The tool flatten creates a copy of the input array flattened to one dimension.

import numpy

my_array = numpy.array([[1,2,3],
[4,5,6]])
print my_array.flatten()

Output

[1 2 3 4 5 6]

Task

You are given a $N$X$\mbox{M}$ integer array matrix with space separated elements ($N$ = rows and $\mbox{M}$ = columns).

Your task is to print the transpose and flatten results.

Input Format

The first line contains the space separated values of $N$ and $\mbox{M}$.

The next $N$ lines contains the space separated elements of $\mbox{M}$ columns.

Output Format

First, print the transpose array and then print the flatten.

Sample Input
2 2
1 2
3 4

Sample Output
[[1 3]
[2 4]]
[1 2 3 4]

输入格式

见题面

输出格式

见题面

样例输入
2 2 1 2 3 4
样例输出
[[1 3] [2 4]] [1 2 3 4]