From 0b87377c6d159751bf5f405b1692e57e38543bdc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?S=C3=B6ren=20Henning?= <post@soeren-henning.de>
Date: Fri, 17 Apr 2020 23:22:57 +0200
Subject: [PATCH] Clean up
---
execution/scalability-graph.ipynb | 24 ++++++++++++++++++++----
1 file changed, 20 insertions(+), 4 deletions(-)
diff --git a/execution/scalability-graph.ipynb b/execution/scalability-graph.ipynb
index 1aab94589..31fb5c2c9 100644
--- a/execution/scalability-graph.ipynb
+++ b/execution/scalability-graph.ipynb
@@ -55,6 +55,18 @@
"os.getcwd()"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "exp_id = 35\n",
+ "warmup_sec = 60\n",
+ "threshold = 2000 #slope\n",
+ ""
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
@@ -66,7 +78,7 @@
},
"outputs": [],
"source": [
- "exp_id = 9\n",
+ "#exp_id = 35\n",
"\n",
"#os.chdir(\"./results-new\")\n",
"\n",
@@ -81,8 +93,12 @@
"\n",
" df = pd.read_csv(filename)\n",
" input = df.loc[df['topic'] == \"input\"]\n",
- " input['sec_start'] = input.loc[0:, 'timestamp'] - input.at[0, 'timestamp']\n",
- " regress = input.loc[input['sec_start'] >= 60] # Warm-Up\n",
+ " #print(input)\n",
+ " input['sec_start'] = input.loc[0:, 'timestamp'] - input.iloc[0]['timestamp']\n",
+ " #print(input)\n",
+ " #print(input.iloc[0, 'timestamp'])\n",
+ " regress = input.loc[input['sec_start'] >= warmup_sec] # Warm-Up\n",
+ " #regress = input\n",
"\n",
" #input.plot(kind='line',x='timestamp',y='value',color='red')\n",
" #plt.show()\n",
@@ -119,7 +135,7 @@
"metadata": {},
"outputs": [],
"source": [
- "threshold = 10\n",
+ "#threshold = 1000\n",
"\n",
"# Set to true if the trend line has a slope less than \n",
"runs[\"suitable\"] = runs.apply(lambda row: row['trend_slope'] < threshold, axis=1)\n",
--
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