smooth_rectangular#

metpy.calc.smooth_rectangular(scalar_grid, size, passes=1)#

Filter with a rectangular window smoother.

Parameters

  • scalar_grid (array-like) – N-dimensional scalar grid to be smoothed

  • size (int or Sequence[int]) – Shape of rectangle along the trailing dimension(s) of the scalar grid

  • passes (int) – The number of times to apply the filter to the grid. Defaults to 1.

Returns

array-like – The filtered scalar grid

See also

smooth_window, smooth_circular, smooth_n_point, smooth_gaussian

Notes

This function can be applied multiple times to create a more smoothed field and will only smooth the interior points, leaving the end points with their original values (this function will leave an unsmoothed edge of size (n - 1) / 2 for each n in size around the data). If a masked value or NaN values exists in the array, it will propagate to any point that uses that particular grid point in the smoothing calculation. Applying the smoothing function multiple times will propagate NaNs further throughout the domain.

Examples using metpy.calc.smooth_rectangular#

Smoothing

Smoothing

Smoothing

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smooth_window

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smooth_circular