# numpy.diagflat() in Python

• Last Updated : 04 Aug, 2021

numpy.diagflat (a, k = 0): Create a two-dimensional array with the array_like input as a diagonal to the new output array.

Parameters :

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```a : array_like input data with diagonal  elements
strong>k : [int, optional, 0 by default]
Diagonal we require; k>0 means diagonal  above main diagonal  or vice versa.```

Returns :

`array with the array_like input as a diagonal to the new output array.`

## Python

 `# Python Program illustrating``# numpy.diagflat method` `import` `numpy as geek` `print``(``"diagflat use on main diagonal : \n"``, geek.diagflat([``1``, ``7``]), ``"\n"``)` `print``(``"diagflat use on main diagonal : \n"``, geek.diagflat([``1``, ``7``, ``6``]), ``"\n"``)` `# Diagonal above main diagonal``print``(``"diagflat above main diagonal : \n"``, geek.diagflat([``1``, ``7``, ``6``], ``1``), ``"\n"``)`

Output :

```diagflat use on main diagonal  :
[[1 0]
[0 7]]

diagflat use on main diagonal  :
[[1 0 0]
[0 7 0]
[0 0 6]]

diagflat above main diagonal  :
[[0 1 0 0]
[0 0 7 0]
[0 0 0 6]
[0 0 0 0]] ```

Note :
These NumPy-Python programs won’t run on onlineID, so run them on your systems to explore them.

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