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# NumPy | ediff1d method

schedule Aug 10, 2023
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Numpy's `ediff1d(~)` method computes the difference between each value and its adjacent value in the input array.

# Parameters

1. `a` | `array-like`

The input array. Multi-dimensional arrays will be flattened to a 1D array.

2. `to_end` | `array-like` | `optional`

The values to append to the returned differences.

3. `to_begin` | `array-like` | `optional`

The values to prepend to the returned differences.

# Return value

A Numpy array that contains the difference between each value and its adjacent value in the input array.

# Examples

## Basic usage

``` a = np.array([1, 3, 8, 15, 30])np.ediffd(a) array([ 2, 5, 7, 15]) ```

## Prepending and appending values

``` a = np.array([1, 3, 8, 15, 30])np.ediffd(a, to_begin=-5, to_end=9) array([-5, 2, 5, 7, 15, 9]) ```
Published by Isshin Inada
Edited by 0 others
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