{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "imports",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pyprojroot import here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "load",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(here() / 'data/base/data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "create-table",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Group by detector type and calculate statistics\n",
    "detector_stats = data.groupby('Detector Type').agg({\n",
    "    'Study ID': 'count',\n",
    "    'Bell Parameter (S)': ['mean', 'std'],\n",
    "    'Entanglement Fidelity': ['mean', 'std'],\n",
    "    'Detection Efficiency A (%)': 'mean'\n",
    "}).round(3)\n",
    "\n",
    "detector_stats.columns = ['N', 'Bell S (mean)', 'Bell S (std)', \n",
    "                          'Fidelity (mean)', 'Fidelity (std)', 'Efficiency (%)']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "save-latex",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert to LaTeX\n",
    "latex_table = r'''\\begin{table}[h]\n",
    "\\centering\n",
    "\\caption{Performance Metrics by Detector Type}\n",
    "\\label{tab:laboratories}\n",
    "\\begin{tabular}{lcccccc}\n",
    "\\toprule\n",
    "\\textbf{Detector} & \\textbf{N} & \\textbf{Bell S} & \\textbf{$\\sigma$} & \\textbf{Fidelity} & \\textbf{$\\sigma$} & \\textbf{Eff (\\%)} \\\\\n",
    "\\midrule\n",
    "'''\n",
    "\n",
    "for idx, row in detector_stats.iterrows():\n",
    "    latex_table += f\"{idx} & {int(row['N'])} & {row['Bell S (mean)']:.3f} & {row['Bell S (std)']:.3f} & \"\n",
    "    latex_table += f\"{row['Fidelity (mean)']:.4f} & {row['Fidelity (std)']:.4f} & {row['Efficiency (%)']:.1f} \\\\\\\\\\n\"\n",
    "\n",
    "latex_table += r'''\\bottomrule\n",
    "\\end{tabular}\n",
    "\\end{table}\n",
    "'''\n",
    "\n",
    "# Save to file\n",
    "with open(here() / 'output/tables/laboratories.tex', 'w') as f:\n",
    "    f.write(latex_table)\n",
    "\n",
    "print(\"Laboratories table saved\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
