{ "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 }