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# scipy.ndimage.filters.generic_laplace

`scipy.ndimage.filters.``generic_laplace`(input, derivative2, output=None, mode='reflect', cval=0.0, extra_arguments=(), extra_keywords=None)

  Calculate a multidimensional laplace filter using the provided second derivative function.

  Parameters: | input : array-like input array to filter derivative2 : callable Callable with the following signature:: derivative2(input, axis, output, mode, cval, *extra_arguments, **extra_keywords) See `extra_arguments`, `extra_keywords` below output : array, optional The `output` parameter passes an array in which to store the filter output. mode : {‘reflect’,’constant’,’nearest’,’mirror’, ‘wrap’}, optional The `mode` parameter determines how the array borders are handled, where `cval` is the value when mode is equal to ‘constant’. Default is ‘reflect’ cval : scalar, optional Value to fill past edges of input if `mode` is ‘constant’. Default is 0.0 extra_keywords : dict, optional dict of extra keyword arguments to pass to passed function extra_arguments : sequence, optional Sequence of extra positional arguments to pass to passed function

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