From d52610d3655b4c79024f990fad33f0e0e07cda15 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Peter=20L=C3=BCnenschlo=C3=9F?= <peter.luenenschloss@ufz.de>
Date: Mon, 25 Jan 2021 12:13:11 +0100
Subject: [PATCH] correctly swapped names of dtw and wavelt det functions
---
saqc/funcs/pattern.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/saqc/funcs/pattern.py b/saqc/funcs/pattern.py
index d1ebeee42..0c91a679e 100644
--- a/saqc/funcs/pattern.py
+++ b/saqc/funcs/pattern.py
@@ -12,7 +12,7 @@ from saqc.lib.tools import customRoller
@register(masking='field')
-def flagPatternByDTW(data, field, flagger, ref_field, widths=(1, 2, 4, 8), waveform='mexh', **kwargs):
+def flagPatternByWavelet(data, field, flagger, ref_field, widths=(1, 2, 4, 8), waveform='mexh', **kwargs):
"""
Pattern recognition via wavelets.
@@ -89,7 +89,7 @@ def flagPatternByDTW(data, field, flagger, ref_field, widths=(1, 2, 4, 8), wavef
@register(masking='field')
-def flagPatternByWavelet(data, field, flagger, ref_field, max_distance=0.03, normalize=True, **kwargs):
+def flagPatternByDTW(data, field, flagger, ref_field, max_distance=0.03, normalize=True, **kwargs):
""" Pattern Recognition via Dynamic Time Warping.
The steps are:
--
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