savgol_filter

function of dascore.proc.filter

source

savgol_filter(
    patch: Patch ,
    polyorder ,
    samples = False,
    mode = interp,
    cval = 0.0,
    **kwargs ,
)-> ‘PatchType’

Applies Savgol filter along spenfied dimensions.

The filter will be applied over each selected dimension sequentially.

Parameters

Parameter	Description
patch	The patch to filter
polyorder	Order of polynomial
samples	If True samples are specified If False coordinate of dimension
mode	The mode for handling edges.
cval	The constant value for when mode == constant.
**kwargs	Used to specify the shape of the savgol filter in each dimension.

Note

See scipy.signal.savgol_filter for more info on implementation and arguments.

Examples

import dascore
from dascore.units import m, s
pa = dascore.get_example_patch()

# Apply second order polynomial Savgol filter
# over time dimension with 0.10 sec window.
filtered_pa_1 = pa.savgol_filter(polyorder=2, time=0.1)

# Apply Savgol filter over distance dimension using a 5 sample
# distance window.
filtered_pa_2 = pa.median_filter(distance=5, samples=True, polyorder=2)

# Combine distance and time filter
filtered_pa_3 = pa.savgol_filter(distance=10, time=0.1, polyorder=4)