From 276df1f9014b7290449c54d0e7ddb24382243a3d Mon Sep 17 00:00:00 2001
From: Peter Luenenschloss <peter.luenenschloss@ufz.de>
Date: Mon, 12 Oct 2020 13:10:00 +0200
Subject: [PATCH] added consecutive numbering of abnormal clusters to
flag_regimeAnomaly
---
saqc/funcs/breaks_detection.py | 8 +++++---
1 file changed, 5 insertions(+), 3 deletions(-)
diff --git a/saqc/funcs/breaks_detection.py b/saqc/funcs/breaks_detection.py
index e2e4f4973..048a14b00 100644
--- a/saqc/funcs/breaks_detection.py
+++ b/saqc/funcs/breaks_detection.py
@@ -50,8 +50,8 @@ def breaks_flagRegimeAnomaly(data, field, flagger, cluster_field, norm_spread, l
Has to be in [0,1]. Determines the minimum percentage of samples,
the "normal" group has to comprise to be the normal group actually.
reset_cluster : bool, default False
- If True, all data, considered "normal", gets assigned hte cluster Label "0", the
- anormal data gets assigned "1" respectively.
+ If True, all data, considered "normal", gets assigned thee cluster Label "0", the remaining
+ cluster get numbered consecutively.
kwargs
@@ -76,8 +76,10 @@ def breaks_flagRegimeAnomaly(data, field, flagger, cluster_field, norm_spread, l
if reset_cluster:
new_cluster = pd.Series(0, index=clusterser.index, dtype=int)
+ k = 1
for p in plateaus:
- new_cluster[cluster_dios.iloc[:, p].index] = 1
+ new_cluster[cluster_dios.iloc[:, p].index] = k
+ k += 1
data[cluster_field] = new_cluster
return data, flagger
--
GitLab