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# NumPy | diagflat method

schedule Aug 12, 2023
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Numpy's `diagflat(~)` method creates a 2D Numpy array with the diagonals specified by a flattened input array. All other entries are filled with zero.

# Parameters

1. `a` | `array-like`

The input array. Multi-dimensional arrays would be flattened automatically to 1D.

2. `k`link | `int` | `optional`

If k is positive, a diagonal on the top will be filled. If negative, then a diagonal on the bottom will be filled. By default, `k=0`.

# Return value

A 2D Numpy array.

# Examples

## Basic usage

Consider the following 2D array:

``` np.diagflat([4,5,6]) array([[4, 0, 0], [0, 5, 0], [0, 0, 6]]) ```

## Specifying an offset

``` np.diagflat([4,5,6], k=1) array([[0, 4, 0, 0], [0, 0, 5, 0], [0, 0, 0, 6], [0, 0, 0, 0]]) `````` np.diagflat([4,5], k=1) array([[0, 4, 0], [0, 0, 5], [0, 0, 0]]) `````` np.diagflat([4,5], k=-1) array([[0, 0, 0], [4, 0, 0], [0, 5, 0]]) ```
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