parameter reordering

docs/funcs/SpikeDetection.md

@@ -134,7 +134,7 @@ Currently two outlier detection methods are implemented:
 ```
 spikes_spektrumBased(raise_factor=0.15, deriv_factor=0.2,
                      noise_thresh=1, noise_window="12h", noise_func="CoVar",
-                     smooth_poly_deg=2, smooth_window=None)
+                     smooth_window=None, smooth_poly_deg=2)
 ```
 
 | parameter       | data type                                                     | default value | description                                                                                                                                                |
@@ -144,8 +144,8 @@ spikes_spektrumBased(raise_factor=0.15, deriv_factor=0.2,
 | noise_thresh    | float                                                         | `1`           | Upper threshold for noisiness of data surrounding potential spikes. See condition (3)                                                                      |
 | noise_window    | [offset string](docs/ParameterDescriptions.md#offset-strings) | `"12h"`       | Determines the range of the time window of the "surrounding" data of a potential spike. See condition (3)                                                  |
 | noise_func      | [string](#noise-detection-functions)                          | `"CoVar"`     | Function to calculate noisiness of data, surrounding potential spikes                                                                                      |
-| smooth_poly_deg | integer                                                       | `2`           | Degree of the polynomial used for fitting with the Savitsky-Golay filter                                                                                   |
 | smooth_window   | [offset string](docs/ParameterDescriptions.md#offset-strings) | `None`        | Size of the smoothing window of the Savitsky-Golay filter. The default value `None` results in a window of two times the sampling rate (i.e. three values) |
+| smooth_poly_deg | integer                                                       | `2`           | Degree of the polynomial used for fitting with the Savitsky-Golay filter                                                                                   |
 
 
 The function flags spikes by evaluating the time series' derivatives

saqc/funcs/spike_detection.py

@@ -278,8 +278,8 @@ def flagSpikes_spektrumBased(
     noise_thresh=1,
     noise_window="12h",
     noise_func="CoVar",
-    smooth_ploy_deg=2,
     smooth_window=None,
+    smooth_ploy_deg=2,
     **kwargs,
 ):
     """