API

array

neighbours

neighbours(cell_ids, *, grid_info[, ring])	determine the neighbours within the nth ring around the center pixel
angular_distances(neighbours, *, grid_info)	compute the angular great-circle distances between neighbours

kernels

kernels.gaussian_kernel(cell_ids, *, ...[, ...])

construct a gaussian kernel on the healpix grid

padding

pad(cell_ids, *, grid_info, ring[, mode, ...])

pad an array

convolution

convolve(arr, kernel, **kwargs)

convolve an array using a pre-computed sparse kernel matrix

xarray

kernels

kernels.gaussian_kernel(cell_ids, sigma[, ...])

Create a symmetric gaussian kernel for the given cell ids

padding

pad(cell_ids, *, ring[, mode, ...])

pad a xarray object

convolution

convolve(ds, kernel, *[, dim, mode, ...])

convolve data on a DGGS grid