scipy.ndimage.convolve1d¶
-
scipy.ndimage.
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. Output array should have different name as compared to input array to avoid aliasing errors.
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
Examples
>>> from scipy.ndimage import convolve1d >>> convolve1d([2, 8, 0, 4, 1, 9, 9, 0], weights=[1, 3]) array([14, 24, 4, 13, 12, 36, 27, 0])