Remove Index and columns on pandas dataframe

Question

I have this list:

import pandas as pd
l = [[1,2,3],[4,5,6],[7,8,9]]
New_dataframe = pd.DataFrame(l)
print(New_dataframe)

Output:

   0  1  2
0  1  2  3
1  4  5  6
2  7  8  9

I want to remove those indexed rows and columns. How to achieve that??DataFrame I would like to see is this:

1  2  3
4  5  6
7  8  9

How to remove that index column and rows??

Answer 1

If want see only values is possible convert to 2d numpy array:

print (New_dataframe.values)
[[1 2 3]
 [4 5 6]
 [7 8 9]]

If need see DataFrame it is possible by:

print (New_dataframe.to_csv(index=False, header=None, sep=' '))
1 2 3
4 5 6
7 8 9

print (New_dataframe.to_string(index=False, header=None))
1  2  3
4  5  6
7  8  9

EDIT:

For convert to excel without index and headers use parameter index=False and header=None:

New_dataframe.to_excel('test.xlsx', index=False, header=None)