From 40ddf8dee076b0611cd581957f5e47e951d2e9c6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?S=C3=B6ren=20Henning?= <soeren.henning@email.uni-kiel.de>
Date: Sat, 17 Apr 2021 15:29:15 +0200
Subject: [PATCH] Add temporary logging
---
slope-evaluator/app/trend_slope_computer.py | 10 ++++++----
1 file changed, 6 insertions(+), 4 deletions(-)
diff --git a/slope-evaluator/app/trend_slope_computer.py b/slope-evaluator/app/trend_slope_computer.py
index c128d9f48..84575fe83 100644
--- a/slope-evaluator/app/trend_slope_computer.py
+++ b/slope-evaluator/app/trend_slope_computer.py
@@ -2,10 +2,12 @@ from sklearn.linear_model import LinearRegression
import pandas as pd
import os
-def compute(x, warmup_sec):
- input = x
- input['sec_start'] = input.loc[0:, 'timestamp'] - input.iloc[0]['timestamp']
- regress = input.loc[input['sec_start'] >= warmup_sec] # Warm-Up
+def compute(data, warmup_sec):
+ data['sec_start'] = data.loc[0:, 'timestamp'] - data.iloc[0]['timestamp']
+ print(data)
+ regress = data.loc[data['sec_start'] >= warmup_sec] # Warm-Up
+
+ print(regress)
X = regress.iloc[:, 2].values.reshape(-1, 1) # values converts it into a numpy array
Y = regress.iloc[:, 3].values.reshape(-1, 1) # -1 means that calculate the dimension of rows, but have 1 column
--
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