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# NumPy | flatnonzero method

schedule Aug 12, 2023
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Numpy's `flatnonzero(~)` method returns the indices of non-zero values in the flattened version of the input array.

# Parameters

1. `a` | `array_like`

The input array.

# Return value

A Numpy array of indices of non-zero values in the flattened version of the input array.

# Examples

## One-dimensional arrays

One-dimensional arrays are already flat, so this is equivalent to just applying the `np.nonzero(~)`:

``` np.flatnonzero([5,3,0,2]) array([0, 1, 3]) ```

Here, the indices 0, 1 and 3 are returned since the values 5, 3 and 2 are non-zeros.

## Two-dimensional arrays

Suppose we had a 2D array:

``` np.flatnonzero([[1,0],[2,3]]) array([0, 2, 3]) ```

Here, the 2D array is first flattened out to `[1,0,2,3]`, and then the indices of the non-zero value are extracted.

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