windows.MaskedWindow

class windows.MaskedWindow(mask: numpy.ndarray[tuple[int, ...], numpy.bool])

__init__(mask: ndarray[tuple[int, ...], bool]) → None

Methods

__init__(mask)
define_windowed_shape(reduce[, a, shape])	Define the shape of the windowed array
get_fringes(reduce[, ndim])	Get the fringes of the window, i.e. the number of pixels between the center and the edge of the window.
get_ind_inner(reduce[, ndim])	"Numpy compatible slices to remove the fringes from an array, where the values are NaN
get_mask([ndim])
get_raster_shape()
get_shape([ndim])
get_threshold([fraction_accepted, ndim])	Minimum amount of data points necessary to calculate the statistic in the window
match_shape(ndim)
validate(reduce[, allow_even, a, shape])	"Validate the window for a given array (a) or shape

Attributes

masked
mask