scipp.nanmedian#

scipp.nanmedian(x, dim=None)#

Compute the median of the input values ignoring NaN’s.

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, non-NaN values, the median is

odd N: x[(N-1)/2]
even N: (x[N/2-1] + x[N/2]) / 2

Parameters:

x (scipp.typing.VariableLike) – Input data.
dim (Union[str, Iterable[str], None], default: None) – Dimension(s) along which to calculate the median. If not given, the median over a flattened version of the array is calculated.

Returns:

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

Raises:

scipp.VariancesError – If the input has variances.
scipp.DTypeError – If the input is binned or does otherwise not support computing medians.
ValueError – If the input has masks. Mask out NaN’s and then use scipp.median() instead.

See also

scipp.median: Compute the median without special handling of NaN’s.

Examples

nanmedian is available as a method:

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

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scipp.nanmedian#