# scipp.median#

scipp.median(x, dim=None)#

Compute the median of the input values.

The median is the middle value of a sorted copy of the input array along each reduced dimension. That is, for an array of `N` unmasked values, the median is

• odd `N`: `x[(N-1)/2]`

• even `N`: `(x[N/2-1] + x[N/2]) / 2`

Note

Masks are broadcast to the shape of `x`. This can lead to a large temporary memory usage.

Parameters:
Returns:

`Same type as x` – The median of the input values.

Raises:

`scipp.nanmedian`

Ignore NaN’s when calculating the median.

Examples

`median` is available as a method:

```>>> x = sc.array(dims=['x'], values=[2, 5, 1, 8, 4])
>>> x.median()
<scipp.Variable> ()    float64  [dimensionless]  4
>>> x = sc.array(dims=['x'], values=[2, 5, 1, 8])
>>> x.median()
<scipp.Variable> ()    float64  [dimensionless]  3.5
```

The median can be computed along a given dimension:

```>>> x = sc.array(dims=['x', 'y'], values=[[1, 3, 6], [2, 7, 4]])
>>> x.median('y')
<scipp.Variable> (x: 2)    float64  [dimensionless]  [3, 4]
```

```>>> x = sc.DataArray(