nctoolkit.DataSet.fill_na

DataSet.fill_na(n=1)

fill_na: Fill missing values with a distance-weighted average. This carries out infilling for each time step and vertical level.

Filling only uses horizontal neighbours, not vertical.

Parameters:

n (int) – Number of nearest neighbours to use. Defaults to 1. To

Examples

Fill missing values with a distance-weighted average using 5 nearest neighbours:

>>> ds.fill_na(n=5)