xoa.filter

Filtering utilities.

Provides spatial and temporal filters including convolution-based smoothing, tidal filters (Demerliac, Godin), mask erosion and point decimation.

Functions

convolve(data, kernel[, normalize, ...])	N-dimensional convolution that takes care of nans
decimate(obj, radius[, method, stack_dim, ...])	Decimate a data array or dataset by removing too close points
demerliac(da[, na_thres, dt_tol])	Apply a Demerliac filter on a data array
erode_coast(data[, until, kernel, xdim, ydim])	Just like erode_mask() but specialized for the horizontal dimensions
erode_mask(data[, until, kernel])	Erode the horizontal mask using smoothing
generate_isotropic_kernel(shape, window_func)	Generate an nD isotropic kernel given a shape and a window function
generate_kernel(kernel, data[, window_func, ...])	Generate a kernel that is compatible with a given data array
generate_orthogonal_kernel(kernels[, ...])	Generate an nD kernel from orthogonal 1d kernels
get_window_func(window, **kwargs)	Get a window function from its name
shapiro_kernel(dims)	Generate a shapiro kernel
smooth(data, kernel, **kwargs)	A shortcut to convolve(data, kernel, normalize=True)
tidal_filter(da, filter_name[, na_thres, dt_tol])	Apply a tidal filter on a data array

Classes

decimation_methods(*values)

Supported decimate() methods