From 87a999c109152b559aafdf7e516ed2919ca86a29 Mon Sep 17 00:00:00 2001
From: Coda Phillips <cphillips@sean.ssec.wisc.edu>
Date: Mon, 18 Jul 2016 11:18:30 -0500
Subject: [PATCH] Use scan_for_outliers for HBB too
---
electronic_checks.py | 7 ++++---
1 file changed, 4 insertions(+), 3 deletions(-)
diff --git a/electronic_checks.py b/electronic_checks.py
index 6eaf09f..43a0238 100644
--- a/electronic_checks.py
+++ b/electronic_checks.py
@@ -9,9 +9,10 @@ def find_bb_outliers(frame, parameters, bb):
window_length = parameters.get('window_length', 50)
if bb == 'HBB':
- bbb_outliers = _find_6sigma_outliers(frame['{}bottomTemp'.format(bb)], window_length)
- bba_outliers = _find_6sigma_outliers(frame['{}apexTemp'.format(bb)], window_length)
- bbt_outliers = _find_6sigma_outliers(frame['{}topTemp'.format(bb)], window_length)
+ delta_thresh = .001
+ bbb_outliers = np.array(list(_scan_for_outliers(frame, '{}bottomTemp'.format(bb), delta_thresh)))
+ bba_outliers = np.array(list(_scan_for_outliers(frame, '{}apexTemp'.format(bb), delta_thresh)))
+ bbt_outliers = np.array(list(_scan_for_outliers(frame, '{}topTemp'.format(bb), delta_thresh)))
else:
delta_thresh = .01
bbb_outliers = np.array(list(_scan_for_outliers(frame, '{}bottomTemp'.format(bb), delta_thresh)))
--
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