xoa.filter.erode_mask

xoa.filter.erode_mask(data, until=1, kernel=None, xdim=None, ydim=None)[source]

Erode the horizontal mask using smoothing

Missing values are filled with the smoothed field in a iterative way. Two cases:

  • Erode a fixed number of times.

  • Erode the data mask until there is no missing value where a given horirizontal mask is False.

Parameters

  • data (xarray.DataArray) – Array of at least 2 dimensions, that are supposed to be horizontal.

  • until (array_like, int) – Either a minimal mask, or a max number of iteration.

  • kernel – Defaults to a shapiro kernel. In this case, xdim and ydim can be set to the horizontal dimensions, otherwise they are inferred. If kernel is provided, it must a compatible with generate_kernel().

  • Return –

  • xarray.DataArray – Data array similar to input array, with its eroded along x and y dimensions.