analysis.ipynb

    "\n",
    "client = RestClient(endpoint=\"http://localhost\")\n",
    "df = client.get_table_data(database_id, table_block_ordinate_id, page=0, size=10_000, df=True)\n",
    "for group in df.groupby(by=\"_block_id\"):\n",
    "    block_id = group[0]\n",
    "    df2 = group[1]\n",
    "    data = pd.DataFrame({\"intensity\": df2[df2[\"_ordinal\"] == 0][\"value\"].values,\n",
    "                         \"binding_energy\": df2[df2[\"_ordinal\"] == 1][\"value\"].values})\n",
    "    fig = px.line(data, x=\"binding_energy\", y=\"intensity\", labels={\n",
    "        \"intensity\": \"Intensity (a.u.)\",\n",
    "        \"binding_energy\": \"Binding Energy (eV)\"\n",
    "    })\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f09e8a7-214c-4d01-b092-abda5c554332",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-11T10:54:52.090756Z",
     "start_time": "2024-06-11T10:54:52.088628Z"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "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": "3.11.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}