{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b5dc5ce7-eec1-487e-9103-6d0b1e4eaf47",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyrotoolbox import parse\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8715995-5351-4d87-9d11-9e8d42df28ba",
   "metadata": {},
   "source": [
    "# Workbench"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ff563f30-00b9-4578-8e20-2773878573a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df, m = parse('ChannelData/A_Firesting Pro (4 Channels)_(A Ch.1)_pH.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "38d94f1d-113d-473e-ac2a-ce444056def4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "70a19001-2695-44aa-8c4e-862877fe5e1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['pH'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b8465f1e-4609-41cd-9b97-354d94915fe9",
   "metadata": {},
   "outputs": [],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e3f18a7f-4b75-4936-a6c3-da49768a30d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "m['settings']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fcbeb3bf-1eef-48c9-9a2e-8dcfa4b4d728",
   "metadata": {},
   "outputs": [],
   "source": [
    "m['calibration']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8cc9e5d8-cf2b-4fc4-8f0a-56a7486e7b65",
   "metadata": {},
   "source": [
    "# FirePlate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ccf5ed61-5467-4808-a97c-d32627b141df",
   "metadata": {},
   "outputs": [],
   "source": [
    "df, m = parse('ChannelData FirePlate/A_FirePlate-O2_(A Ch.1)_Oxygen.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bd576d48-6040-452d-8b24-852e95205ca0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1aeff38d-6762-4170-8078-aa6346cf2839",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.filter(regex='%O2').plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f6562ebe-eb6e-45e1-b38a-adfe2d182a39",
   "metadata": {},
   "outputs": [],
   "source": [
    "m['settings']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "34ff170a-4d1d-4d69-bb5b-7a3ce977ec88",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "pd.DataFrame(m['calibration'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0a28da58-cc7a-4863-8721-e5116a714542",
   "metadata": {},
   "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": "3.12.3"
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 "nbformat": 4,
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