nbv_sim/scripts/print_stats.ipynb
2021-11-05 20:38:03 +01:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Generate table entry of a single experiment."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"logfile = \"/home/michel/Insync/michel.breyer@ethz-asl.ch/Google Drive/Projects/nbv-grasp/experiments/21-10-11/mustard1/nbv-grasp.csv\"\n",
"\n",
"###\n",
"\n",
"df = pd.read_csv(logfile)\n",
"\n",
"n_attempts = len(df.index)\n",
"n_succeeded = (df.result == \"succeeded\").sum()\n",
"n_failed = (df.result == \"failed\").sum()\n",
"n_aborted = (df.result == \"aborted\").sum()\n",
"views_mean = df.view_count.mean()\n",
"dist_mean = df.distance.mean()\n",
"search_time_mean = df.search_time.mean()\n",
"grasp_time_mean = df.grasp_time.mean()\n",
"\n",
"print(f\"${n_succeeded}$ & ${n_failed}$ & ${n_aborted}$ & ${views_mean:.1f}$ & ${search_time_mean:.2f}$ & ${grasp_time_mean:.2f}$\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"interpreter": {
"hash": "fb16c2a7860a3d6783f021a002ede0627d3977ca7b794dfd7ea4f613fe21e5c4"
},
"kernelspec": {
"display_name": "Python 3.8.10 64-bit ('noetic': venv)",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}