scipy.ndimage.filters.convolve1d¶
- scipy.ndimage.filters.convolve1d(input, weights, axis=-1, output=None, mode='reflect', cval=0.0, origin=0)[source]¶
Calculate a one-dimensional convolution along the given axis.
The lines of the array along the given axis are convolved with the given weights.
Parameters: input : array_like
Input array to filter.
weights : ndarray
One-dimensional sequence of numbers.
axis : int, optional
The axis of input along which to calculate. Default is -1.
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
origin : scalar, optional
The origin parameter controls the placement of the filter. Default 0.0.
Returns: convolve1d : ndarray
Convolved array with same shape as input