diff --git a/.github/workflows/generate_api.yaml b/.github/workflows/generate_api.yaml
index 3b0f49e..29e4bf2 100644
--- a/.github/workflows/generate_api.yaml
+++ b/.github/workflows/generate_api.yaml
@@ -1,38 +1,38 @@
-name: Generate API
-
-on: push
-
-jobs:
- generate-api:
- runs-on: ubuntu-latest
- env:
- LIB_NAME: ${{ secrets.LIB_NAME }}
- steps:
- - name: Checkout
- uses: actions/checkout@v2
-
- - name: Setup Python
- uses: actions/setup-python@v2
- with:
- python-version: 3.9
-
- - name: Install sdRDM
- run: python3 -m pip install git+https://github.com/JR-1991/software-driven-rdm.git@linking-refactor
-
- - name: Generate API
- env:
- URL: ${{github.repositoryUrl}}
- COMMIT: ${{github.sha}}
- run: sdrdm generate --path ./specifications/ --out . --name "$LIB_NAME" --url "$URL" --commit "$COMMIT"
-
- - name: Push source code
- run: |
- if [[ `git status --porcelain` ]]; then
- git add "$LIB_NAME"
- git config --global user.name 'sdRDM Bot'
- git config --global user.email 'sdRDM@bot.com'
- git commit -am "API update"
- git push
- else
- echo "Nothing changed!"
- fi
+name: Generate API
+
+on: push
+
+jobs:
+ generate-api:
+ runs-on: ubuntu-latest
+ env:
+ LIB_NAME: ${{ secrets.LIB_NAME }}
+ steps:
+ - name: Checkout
+ uses: actions/checkout@v2
+
+ - name: Setup Python
+ uses: actions/setup-python@v2
+ with:
+ python-version: 3.9
+
+ - name: Install sdRDM
+ run: python3 -m pip install git+https://github.com/JR-1991/software-driven-rdm.git@linking-refactor
+
+ - name: Generate API
+ env:
+ URL: ${{github.repositoryUrl}}
+ COMMIT: ${{github.sha}}
+ run: sdrdm generate --path ./specifications/ --out . --name "$LIB_NAME" --url "$URL" --commit "$COMMIT"
+
+ - name: Push source code
+ run: |
+ if [[ `git status --porcelain` ]]; then
+ git add "$LIB_NAME"
+ git config --global user.name 'sdRDM Bot'
+ git config --global user.email 'sdRDM@bot.com'
+ git commit -am "API update"
+ git push
+ else
+ echo "Nothing changed!"
+ fi
diff --git a/.gitignore b/.gitignore
index 766f07e..e8d8cb6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,8 +1,11 @@
-# experimental data
-data/
+# raw data
+data/Rohdaten
+
+# generated datasets
+datasets/*
# GitHub
-.github/
+# .github/
# VS Code
.vscode
@@ -10,9 +13,23 @@ data/
# images
*.png
+# log files
+*.log
+
#compiled python files
*.pyc
-.datamodel_b07_tc/core
+# generated python objects
+# datamodel_b07_tc/core
+
+# compiled bython files
+datamodel_b07_tc/__pycache__
+
+# generated schemes of the data model
+datamodel_b07_tc/schemes
+
+# to do list for this notebook
+todo.txt
-.datamodel_b07_tc/__pycache__
\ No newline at end of file
+# test notebook to try new things
+test_notebook.ipynb
\ No newline at end of file
diff --git a/main.ipynb b/1.1_Main.ipynb
similarity index 96%
rename from main.ipynb
rename to 1.1_Main.ipynb
index 39eedd1..1cd094b 100644
--- a/main.ipynb
+++ b/1.1_Main.ipynb
@@ -46,7 +46,7 @@
"metadata": {},
"outputs": [],
"source": [
- "lib = DataModel.from_git(url='https://github.com/FAIRChemistry/datamodel_b07_tc.git')\n",
+ "lib = DataModel.from_git(url='https://github.com/FAIRChemistry/datamodel_b07_tc.git', commit='8748a18ee412d72aa1fd01aa80bfacbbb898a856')\n",
"# lib = DataModel.from_markdown('specifications/datamodel_b07_tc.md')"
]
},
@@ -79,8 +79,8 @@
" \"__source__\": {\n",
" \"root\": \"Dataset\",\n",
" \"repo\": \"https://github.com/FAIRChemistry/datamodel_b07_tc.git\",\n",
- " \"commit\": \"1bdb0deb23b5533debf35363fb3cf66df125fede\",\n",
- " \"url\": \"https://github.com/FAIRChemistry/datamodel_b07_tc/tree/1bdb0deb23b5533debf35363fb3cf66df125fede\"\n",
+ " \"commit\": \"b342319c31e24a3228fb1eb0627492dcd63f35d5\",\n",
+ " \"url\": \"https://github.com/FAIRChemistry/datamodel_b07_tc/tree/b342319c31e24a3228fb1eb0627492dcd63f35d5\"\n",
" }\n",
"}\n"
]
diff --git a/2.1_Experimental_parsing.ipynb b/2.1_Experimental_parsing.ipynb
new file mode 100644
index 0000000..7d50c96
--- /dev/null
+++ b/2.1_Experimental_parsing.ipynb
@@ -0,0 +1,2499 @@
+{
+ "cells": [
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#
Workflow for the CRC1333 project B07 - Technical Chemistry\n",
+ "# Experimental notebook\n",
+ "# 2.1 Parsing"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "\n",
+ "This is the ``Experimental`` ``notebook`` ``2.1 Parsing``, where all the relevent data of the experiments are read in from different ressources. For each individual experiment this workflow is to be executed once, and the data can be appended to the project's dataset.\n",
+ "\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from datamodel_b07_tc.modified.experiment import Experiment"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# from sdRDM.generator import generate_python_api\n",
+ "from sdRDM import DataModel"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# generate_python_api('specifications/datamodel_b07_tc.md', '', 'datamodel_b07_tc')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Import standard library python packages."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%reload_ext autoreload\n",
+ "%autoreload 2\n",
+ "\n",
+ "from datamodel_b07_tc.tools import Calibrator\n",
+ "from datamodel_b07_tc.tools import GCParser\n",
+ "from datamodel_b07_tc.tools import GstaticParser\n",
+ "from datamodel_b07_tc.tools import MFMParser\n",
+ "# from DEXPI2sdRDM import DEXPI2sdRDM"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "import json\n",
+ "import ipywidgets as widgets\n",
+ "import logging\n",
+ "import logging.config\n",
+ "from IPython.display import display\n",
+ "from pathlib import Path"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "## Section 0: Paths and Logging\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Get path to the directory this notebook is located and check for correctness."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Path to this notebook's location: /mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc\n",
+ "Is the path valid? True\n"
+ ]
+ }
+ ],
+ "source": [
+ "root = Path(os.path.abspath(''))\n",
+ "print(\"Path to this notebook's location:\", root)\n",
+ "print('Is the path valid?', root.is_dir())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Set path for the logger."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/datamodel_b07_tc/tools/logging/config.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "config_path = root / \"datamodel_b07_tc/tools/logging/config.json\"\n",
+ "print(config_path)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Set up logger."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "logging_config_path = root / \"datamodel_b07_tc/tools/logging/config.json\"\n",
+ "with open(logging_config_path) as logging_config_json:\n",
+ " logging_config = json.load(logging_config_json)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "logging.config.dictConfig(logging_config)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "2023-09-19 13:50:31,540 - __main__ - WARNING - uff\n"
+ ]
+ }
+ ],
+ "source": [
+ "logger = logging.getLogger(__name__)\n",
+ "logger.debug(\"obacht\")\n",
+ "logger.warning('uff')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "## Section 1: Dataset and data model parsing\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In this section the data model and the dataset as well as all the output files necessary for analysis are parsed. "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ " Set path to datasets."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "path_to_datasets = root / 'datasets'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "List all available datasets in the directory.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0: b07.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "files = path_to_datasets.iterdir()\n",
+ "json_files = {index:file for index, file in enumerate(files) if file.suffix == '.json'}\n",
+ "for index, file in json_files.items():\n",
+ " print(f'{index}: {file.name}')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Choose dataset to be loaded by its index."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "index_dataset = 0\n",
+ "dataset, lib = DataModel.parse(json_files[index_dataset])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Visualize the data model."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# lib.Dataset.meta_tree()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Print current status of the dataset."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# print(dataset.json())"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Set path to the directory containing all relevant data."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "path_data = root / 'data'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Set path for the measurement (raw) data."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# raw_data_path = Path('F:\\Doktorand\\\\03_Messungen\\Rohdaten')\n",
+ "path_raw_data = path_data / 'Rohdaten'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Instantiate an experiment object which will hold all the information about one single experiment."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "experiment = Experiment()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "## Section 2: Potenstiostatic data parsing\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Provide name of the directory containing the potentiostatic measurement data."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "path_echem = path_raw_data / '01_EChem'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Search in that directory for further subdirectories and print them."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0: 210728_ITO_TEST\n",
+ "1: CAD14-Cu@AB\n"
+ ]
+ }
+ ],
+ "source": [
+ "subdirectories_echem = {index:directory for index, directory in enumerate(path_echem.iterdir())}\n",
+ "for index, directory in subdirectories_echem.items():\n",
+ " print(f\"{index}: {directory.name}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Choose one of the found subdirectory by its index."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/data/Rohdaten/01_EChem/CAD14-Cu@AB\n"
+ ]
+ }
+ ],
+ "source": [
+ "subdirectory_index_echem = 1\n",
+ "selected_subdirectory_echem = subdirectories_echem[subdirectory_index_echem]\n",
+ "print(selected_subdirectory_echem)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Provide suffix of the file that contains the data."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "suffix_echem = 'DTA'"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Initialize the ``GstaticParser`` and print available files."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0: GSTATIC\n",
+ "1: POTDYN\n"
+ ]
+ }
+ ],
+ "source": [
+ "gstaticparser = GstaticParser(selected_subdirectory_echem, suffix_echem)\n",
+ "files_dict_echem = gstaticparser.available_files\n",
+ "for index, gstatic_file in files_dict_echem.items():\n",
+ " print(f\"{index}: {gstatic_file.stem}\")"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Chose file to be parsed by its index."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'GSTATIC.DTA'"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "file_index_echem = 0\n",
+ "file_echem = files_dict_echem[file_index_echem]\n",
+ "file_echem.name"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Extract the metadata from it using the ``GstaticParser`` and load into the data model."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Parameter | \n",
+ " Data_type | \n",
+ " Value | \n",
+ " Description | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " PSTAT | \n",
+ " PSTAT | \n",
+ " REF3000-19129 | \n",
+ " Potentiostat | \n",
+ "
\n",
+ " \n",
+ " 1 | \n",
+ " IINIT | \n",
+ " QUANT | \n",
+ " -2.00000E+002 | \n",
+ " Initial I (mA/cm^2) | \n",
+ "
\n",
+ " \n",
+ " 2 | \n",
+ " TINIT | \n",
+ " QUANT | \n",
+ " 3.60000E+003 | \n",
+ " Initial Time (s) | \n",
+ "
\n",
+ " \n",
+ " 3 | \n",
+ " IFINAL | \n",
+ " QUANT | \n",
+ " -2.00000E+002 | \n",
+ " Final I (mA/cm^2) | \n",
+ "
\n",
+ " \n",
+ " 4 | \n",
+ " TFINAL | \n",
+ " QUANT | \n",
+ " 0.00000E+000 | \n",
+ " Final Time (s) | \n",
+ "
\n",
+ " \n",
+ " 5 | \n",
+ " SAMPLETIME | \n",
+ " QUANT | \n",
+ " 1.00000E+000 | \n",
+ " Sample Period (s) | \n",
+ "
\n",
+ " \n",
+ " 6 | \n",
+ " AREA | \n",
+ " QUANT | \n",
+ " 1.00000E+000 | \n",
+ " Sample Area (cm^2) | \n",
+ "
\n",
+ " \n",
+ " 7 | \n",
+ " DENSITY | \n",
+ " QUANT | \n",
+ " 7.87000E+000 | \n",
+ " Density (g/cm^3) | \n",
+ "
\n",
+ " \n",
+ " 8 | \n",
+ " EQUIV | \n",
+ " QUANT | \n",
+ " 2.79200E+001 | \n",
+ " Equiv. Wt | \n",
+ "
\n",
+ " \n",
+ " 9 | \n",
+ " IRCOMP | \n",
+ " TOGGLE | \n",
+ " T | \n",
+ " IR Comp | \n",
+ "
\n",
+ " \n",
+ " 10 | \n",
+ " EOC | \n",
+ " QUANT | \n",
+ " 0 | \n",
+ " Open Circuit (V) | \n",
+ "
\n",
+ " \n",
+ " 11 | \n",
+ " SEQUENCER | \n",
+ " TOGGLE | \n",
+ " TRUE | \n",
+ " Run as Sequence | \n",
+ "
\n",
+ " \n",
+ " 12 | \n",
+ " PSTATMODEL | \n",
+ " IQUANT | \n",
+ " 5 | \n",
+ " Pstat Model | \n",
+ "
\n",
+ " \n",
+ " 13 | \n",
+ " PSTATSECTION | \n",
+ " LABEL | \n",
+ " REF3000-19129 | \n",
+ " Pstat Section | \n",
+ "
\n",
+ " \n",
+ " 14 | \n",
+ " PSTATSERIALNO | \n",
+ " LABEL | \n",
+ " 19129 | \n",
+ " Pstat Serial Number | \n",
+ "
\n",
+ " \n",
+ " 15 | \n",
+ " CTRLMODE | \n",
+ " IQUANT | \n",
+ " 0 | \n",
+ " Control Mode | \n",
+ "
\n",
+ " \n",
+ " 16 | \n",
+ " ELECTROMETER | \n",
+ " IQUANT | \n",
+ " 0 | \n",
+ " RE=0 or CS=1 | \n",
+ "
\n",
+ " \n",
+ " 17 | \n",
+ " IESTAB | \n",
+ " IQUANT | \n",
+ " 0 | \n",
+ " I/E Stability | \n",
+ "
\n",
+ " \n",
+ " 18 | \n",
+ " CASPEED | \n",
+ " IQUANT | \n",
+ " 4 | \n",
+ " Control Amp Speed | \n",
+ "
\n",
+ " \n",
+ " 19 | \n",
+ " CONVENTION | \n",
+ " IQUANT | \n",
+ " 1 | \n",
+ " Current Convention | \n",
+ "
\n",
+ " \n",
+ " 20 | \n",
+ " ICHRANGE | \n",
+ " IQUANT | \n",
+ " 2 | \n",
+ " Ich Range | \n",
+ "
\n",
+ " \n",
+ " 21 | \n",
+ " ICHRANGEMODE | \n",
+ " TOGGLE | \n",
+ " T | \n",
+ " Ich Auto Range | \n",
+ "
\n",
+ " \n",
+ " 22 | \n",
+ " ICHOFFSETENABLE | \n",
+ " TOGGLE | \n",
+ " F | \n",
+ " Ich Offset Enable | \n",
+ "
\n",
+ " \n",
+ " 23 | \n",
+ " ICHOFFSET | \n",
+ " QUANT | \n",
+ " 0 | \n",
+ " Ich Offset (V) | \n",
+ "
\n",
+ " \n",
+ " 24 | \n",
+ " ICHFILTER | \n",
+ " IQUANT | \n",
+ " 3 | \n",
+ " Ich Filter | \n",
+ "
\n",
+ " \n",
+ " 25 | \n",
+ " VCHRANGE | \n",
+ " IQUANT | \n",
+ " 3 | \n",
+ " Vch Range | \n",
+ "
\n",
+ " \n",
+ " 26 | \n",
+ " VCHRANGEMODE | \n",
+ " TOGGLE | \n",
+ " T | \n",
+ " Vch Auto Range | \n",
+ "
\n",
+ " \n",
+ " 27 | \n",
+ " VCHOFFSETENABLE | \n",
+ " TOGGLE | \n",
+ " F | \n",
+ " Vch Offset Enable | \n",
+ "
\n",
+ " \n",
+ " 28 | \n",
+ " VCHOFFSET | \n",
+ " QUANT | \n",
+ " 0 | \n",
+ " Vch Offset (V) | \n",
+ "
\n",
+ " \n",
+ " 29 | \n",
+ " VCHFILTER | \n",
+ " IQUANT | \n",
+ " 1 | \n",
+ " Vch Filter | \n",
+ "
\n",
+ " \n",
+ " 30 | \n",
+ " ACHRANGE | \n",
+ " IQUANT | \n",
+ " 2 | \n",
+ " Ach Range | \n",
+ "
\n",
+ " \n",
+ " 31 | \n",
+ " ACHOFFSETENABLE | \n",
+ " TOGGLE | \n",
+ " F | \n",
+ " Ach Offset Enable | \n",
+ "
\n",
+ " \n",
+ " 32 | \n",
+ " ACHOFFSET | \n",
+ " QUANT | \n",
+ " 0 | \n",
+ " Ach Offset (V) | \n",
+ "
\n",
+ " \n",
+ " 33 | \n",
+ " ACHFILTER | \n",
+ " IQUANT | \n",
+ " 1 | \n",
+ " Ach Filter | \n",
+ "
\n",
+ " \n",
+ " 34 | \n",
+ " IERANGELOWERLIMIT | \n",
+ " IQUANT | \n",
+ " 4 | \n",
+ " I/E Range Lower Limit | \n",
+ "
\n",
+ " \n",
+ " 35 | \n",
+ " IERANGEMODE | \n",
+ " TOGGLE | \n",
+ " F | \n",
+ " I/E AutoRange | \n",
+ "
\n",
+ " \n",
+ " 36 | \n",
+ " IERANGE | \n",
+ " IQUANT | \n",
+ " 11 | \n",
+ " I/E Range | \n",
+ "
\n",
+ " \n",
+ " 37 | \n",
+ " POSFEEDENABLE | \n",
+ " TOGGLE | \n",
+ " F | \n",
+ " Positive Feedback IR Comp | \n",
+ "
\n",
+ " \n",
+ " 38 | \n",
+ " POSFEEDRESISTANCE | \n",
+ " QUANT | \n",
+ " 0 | \n",
+ " Positive Feedback Resistance (ohm) | \n",
+ "
\n",
+ " \n",
+ " 39 | \n",
+ " ACHSELECT | \n",
+ " IQUANT | \n",
+ " 0 | \n",
+ " Ach Select | \n",
+ "
\n",
+ " \n",
+ " 40 | \n",
+ " SENSECABLEID | \n",
+ " IQUANT | \n",
+ " 14 | \n",
+ " Sense Cable ID | \n",
+ "
\n",
+ " \n",
+ " 41 | \n",
+ " PWRCABLEID | \n",
+ " IQUANT | \n",
+ " 13 | \n",
+ " Power Cable ID | \n",
+ "
\n",
+ " \n",
+ " 42 | \n",
+ " DCCALDATE | \n",
+ " LABEL | \n",
+ " 11/22/2022 | \n",
+ " DC Calibration Date | \n",
+ "
\n",
+ " \n",
+ " 43 | \n",
+ " ACCALDATE | \n",
+ " LABEL | \n",
+ " NaN | \n",
+ " AC Calibration Date | \n",
+ "
\n",
+ " \n",
+ " 44 | \n",
+ " THERMOSELECT | \n",
+ " IQUANT | \n",
+ " 1 | \n",
+ " Thermo Select | \n",
+ "
\n",
+ " \n",
+ " 45 | \n",
+ " FRAMEWORKVERSION | \n",
+ " QUANT | \n",
+ " 7.07 | \n",
+ " Framework Version | \n",
+ "
\n",
+ " \n",
+ " 46 | \n",
+ " INSTRUMENTVERSION | \n",
+ " LABEL | \n",
+ " 4.35 | \n",
+ " Instrument Version | \n",
+ "
\n",
+ " \n",
+ " 47 | \n",
+ " COMPLIANCEVOLTAGE | \n",
+ " IQUANT | \n",
+ " 0 | \n",
+ " Compliance Voltage | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Parameter Data_type Value \n",
+ "0 PSTAT PSTAT REF3000-19129 \\\n",
+ "1 IINIT QUANT -2.00000E+002 \n",
+ "2 TINIT QUANT 3.60000E+003 \n",
+ "3 IFINAL QUANT -2.00000E+002 \n",
+ "4 TFINAL QUANT 0.00000E+000 \n",
+ "5 SAMPLETIME QUANT 1.00000E+000 \n",
+ "6 AREA QUANT 1.00000E+000 \n",
+ "7 DENSITY QUANT 7.87000E+000 \n",
+ "8 EQUIV QUANT 2.79200E+001 \n",
+ "9 IRCOMP TOGGLE T \n",
+ "10 EOC QUANT 0 \n",
+ "11 SEQUENCER TOGGLE TRUE \n",
+ "12 PSTATMODEL IQUANT 5 \n",
+ "13 PSTATSECTION LABEL REF3000-19129 \n",
+ "14 PSTATSERIALNO LABEL 19129 \n",
+ "15 CTRLMODE IQUANT 0 \n",
+ "16 ELECTROMETER IQUANT 0 \n",
+ "17 IESTAB IQUANT 0 \n",
+ "18 CASPEED IQUANT 4 \n",
+ "19 CONVENTION IQUANT 1 \n",
+ "20 ICHRANGE IQUANT 2 \n",
+ "21 ICHRANGEMODE TOGGLE T \n",
+ "22 ICHOFFSETENABLE TOGGLE F \n",
+ "23 ICHOFFSET QUANT 0 \n",
+ "24 ICHFILTER IQUANT 3 \n",
+ "25 VCHRANGE IQUANT 3 \n",
+ "26 VCHRANGEMODE TOGGLE T \n",
+ "27 VCHOFFSETENABLE TOGGLE F \n",
+ "28 VCHOFFSET QUANT 0 \n",
+ "29 VCHFILTER IQUANT 1 \n",
+ "30 ACHRANGE IQUANT 2 \n",
+ "31 ACHOFFSETENABLE TOGGLE F \n",
+ "32 ACHOFFSET QUANT 0 \n",
+ "33 ACHFILTER IQUANT 1 \n",
+ "34 IERANGELOWERLIMIT IQUANT 4 \n",
+ "35 IERANGEMODE TOGGLE F \n",
+ "36 IERANGE IQUANT 11 \n",
+ "37 POSFEEDENABLE TOGGLE F \n",
+ "38 POSFEEDRESISTANCE QUANT 0 \n",
+ "39 ACHSELECT IQUANT 0 \n",
+ "40 SENSECABLEID IQUANT 14 \n",
+ "41 PWRCABLEID IQUANT 13 \n",
+ "42 DCCALDATE LABEL 11/22/2022 \n",
+ "43 ACCALDATE LABEL NaN \n",
+ "44 THERMOSELECT IQUANT 1 \n",
+ "45 FRAMEWORKVERSION QUANT 7.07 \n",
+ "46 INSTRUMENTVERSION LABEL 4.35 \n",
+ "47 COMPLIANCEVOLTAGE IQUANT 0 \n",
+ "\n",
+ " Description \n",
+ "0 Potentiostat \n",
+ "1 Initial I (mA/cm^2) \n",
+ "2 Initial Time (s) \n",
+ "3 Final I (mA/cm^2) \n",
+ "4 Final Time (s) \n",
+ "5 Sample Period (s) \n",
+ "6 Sample Area (cm^2) \n",
+ "7 Density (g/cm^3) \n",
+ "8 Equiv. Wt \n",
+ "9 IR Comp \n",
+ "10 Open Circuit (V) \n",
+ "11 Run as Sequence \n",
+ "12 Pstat Model \n",
+ "13 Pstat Section \n",
+ "14 Pstat Serial Number \n",
+ "15 Control Mode \n",
+ "16 RE=0 or CS=1 \n",
+ "17 I/E Stability \n",
+ "18 Control Amp Speed \n",
+ "19 Current Convention \n",
+ "20 Ich Range \n",
+ "21 Ich Auto Range \n",
+ "22 Ich Offset Enable \n",
+ "23 Ich Offset (V) \n",
+ "24 Ich Filter \n",
+ "25 Vch Range \n",
+ "26 Vch Auto Range \n",
+ "27 Vch Offset Enable \n",
+ "28 Vch Offset (V) \n",
+ "29 Vch Filter \n",
+ "30 Ach Range \n",
+ "31 Ach Offset Enable \n",
+ "32 Ach Offset (V) \n",
+ "33 Ach Filter \n",
+ "34 I/E Range Lower Limit \n",
+ "35 I/E AutoRange \n",
+ "36 I/E Range \n",
+ "37 Positive Feedback IR Comp \n",
+ "38 Positive Feedback Resistance (ohm) \n",
+ "39 Ach Select \n",
+ "40 Sense Cable ID \n",
+ "41 Power Cable ID \n",
+ "42 DC Calibration Date \n",
+ "43 AC Calibration Date \n",
+ "44 Thermo Select \n",
+ "45 Framework Version \n",
+ "46 Instrument Version \n",
+ "47 Compliance Voltage "
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "gstatic_metadata_df, gstatic_metadata = gstaticparser.extract_metadata(file_index_echem)\n",
+ "potentiometric_measurement = lib.Measurement(measurement_type=lib.enums.MeasurementType.POTENTIOSTATIC.value, metadata=gstatic_metadata)\n",
+ "experiment.measurements = [potentiometric_measurement]\n",
+ "gstatic_metadata_df"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "## Section 3: MFM data parsing\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Provide name of the subdirectory containing the mass flow meter measurement data."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "path_mfm = path_raw_data / '03_MFM'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Search directory for further subdirectories and print them."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0: CAD14-Cu@AB\n"
+ ]
+ }
+ ],
+ "source": [
+ "subdirectories_mfm = {index:directory for index, directory in enumerate(path_mfm.iterdir())}\n",
+ "for index, directory in subdirectories_mfm.items():\n",
+ " print(f\"{index}: {directory.name}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Choose one of the found subdirectory by its index."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/data/Rohdaten/03_MFM/CAD14-Cu@AB\n"
+ ]
+ }
+ ],
+ "source": [
+ "subdirectory_index_mfm = 0\n",
+ "selected_subdirectory_mfm = subdirectories_mfm[subdirectory_index_mfm]\n",
+ "print(selected_subdirectory_mfm)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Provide suffix of the file that contains the data."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "suffix_mfm = 'csv'"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Instantiate the ``MFMParser`` to parse MFM output files and show available files in the selected directory."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0: Bench-2h-GSS_CAD14-Cu@AB_200_50c_24h.csv\n",
+ "1: Bench-2h-GSS_CAD14-Cu@AB_200_50c_24h_truncated.csv\n"
+ ]
+ }
+ ],
+ "source": [
+ "mfmparser = MFMParser(selected_subdirectory_mfm, suffix_mfm)\n",
+ "files_dict_mfm = mfmparser.available_files\n",
+ "for index, mfm_file in files_dict_mfm.items():\n",
+ " print(f\"{index}: {mfm_file.name}\")"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Chose file to be parsed by its index."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'Bench-2h-GSS_CAD14-Cu@AB_200_50c_24h.csv'"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "file_index_mfm = 0\n",
+ "file_mfm = files_dict_mfm[file_index_mfm]\n",
+ "file_mfm.name"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Extract the experimental data from it using the ``MFMParser`` and load into the data model."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Datetime | \n",
+ " Time | \n",
+ " Signal | \n",
+ " Flow_rate | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " 2023-02-06 09:58:48 | \n",
+ " 0 | \n",
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+ " \n",
+ " 2849 | \n",
+ " 2023-02-06 11:33:46 | \n",
+ " 5698 | \n",
+ " 3204 | \n",
+ " 5.006263 | \n",
+ "
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+ " \n",
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+ " 3198 | \n",
+ " 4.996374 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
2853 rows × 4 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Datetime Time Signal Flow_rate\n",
+ "0 2023-02-06 09:58:48 0 3258 5.090180\n",
+ "1 2023-02-06 09:58:50 2 3267 5.104674\n",
+ "2 2023-02-06 09:58:52 4 3273 5.114520\n",
+ "3 2023-02-06 09:58:54 6 3278 5.122616\n",
+ "4 2023-02-06 09:58:56 8 3290 5.139893\n",
+ "... ... ... ... ...\n",
+ "2848 2023-02-06 11:33:44 5696 3210 5.015965\n",
+ "2849 2023-02-06 11:33:46 5698 3204 5.006263\n",
+ "2850 2023-02-06 11:33:48 5700 3202 5.003840\n",
+ "2851 2023-02-06 11:33:50 5702 3204 5.006141\n",
+ "2852 2023-02-06 11:33:52 5704 3198 4.996374\n",
+ "\n",
+ "[2853 rows x 4 columns]"
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "experimental_data_df_mfm, experimental_data_dict_mfm = mfmparser.extract_exp_data(file_index_mfm)\n",
+ "mfm = lib.Measurement(\n",
+ " measurement_type=lib.enums.MeasurementType.MFM.value,\n",
+ " experimental_data=[value for value in experimental_data_dict_mfm.values()],\n",
+ " )\n",
+ "experiment.measurements.append(mfm)\n",
+ "experimental_data_df_mfm"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "## Section 4: GC data parsing\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Provide name of the subdirectory containing the mass flow meter measurement data."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "path_gc = path_raw_data / '02_GC'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Search directory for further subdirectories and print them."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0: CAD14-Cu@AB\n"
+ ]
+ }
+ ],
+ "source": [
+ "subdirectories_gc = {index:directory for index, directory in enumerate(path_gc.iterdir())}\n",
+ "for index, directory in subdirectories_gc.items():\n",
+ " print(f\"{index}: {directory.name}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Choose one of the found subdirectory by its index."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/data/Rohdaten/02_GC/CAD14-Cu@AB\n"
+ ]
+ }
+ ],
+ "source": [
+ "subdirectory_index_gc = 0\n",
+ "selected_subdirectory_gc = subdirectories_gc[subdirectory_index_gc]\n",
+ "print(selected_subdirectory_gc)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Search subdirectory for further subsubdirectories and print them."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0: JH-1H 2023-02-06 10-00-18\n"
+ ]
+ }
+ ],
+ "source": [
+ "subsubdirectories_gc = {index:directory for index, directory in enumerate(selected_subdirectory_gc.iterdir())}\n",
+ "for index, directory in subsubdirectories_gc.items():\n",
+ " print(f\"{index}: {directory.name}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Choose one of the found subsubdirectory by its index."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/data/Rohdaten/02_GC/CAD14-Cu@AB/JH-1H 2023-02-06 10-00-18\n"
+ ]
+ }
+ ],
+ "source": [
+ "subsubdirectory_index_gc = 0\n",
+ "selected_subsubdirectory_gc = subsubdirectories_gc[subsubdirectory_index_gc]\n",
+ "print(selected_subsubdirectory_gc)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Print available directories containg the individual measurement datasets."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "3: JH_GASPRODUKTE.M\n",
+ "4: JH_GASPRODUKTE_30MIN.M\n",
+ "6: NV-F0101.D\n",
+ "7: NV-F0102.D\n",
+ "8: NV-F0103.D\n",
+ "9: NV-F0104.D\n",
+ "10: NV-F0201.D\n"
+ ]
+ }
+ ],
+ "source": [
+ "exp_directories_gc = {index:directory for index, directory in enumerate(selected_subsubdirectory_gc.iterdir()) if directory.is_dir()}\n",
+ "for index, directory in exp_directories_gc.items():\n",
+ " print(f\"{index}: {directory.name}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Choose directories of idividual GC measurements to be used for calculation by their indices."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/data/Rohdaten/02_GC/CAD14-Cu@AB/JH-1H 2023-02-06 10-00-18/NV-F0102.D\n",
+ "/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/data/Rohdaten/02_GC/CAD14-Cu@AB/JH-1H 2023-02-06 10-00-18/NV-F0103.D\n",
+ "/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/data/Rohdaten/02_GC/CAD14-Cu@AB/JH-1H 2023-02-06 10-00-18/NV-F0104.D\n"
+ ]
+ }
+ ],
+ "source": [
+ "indices_exp_directories_gc = [7,8,9]\n",
+ "selected_subdirectories_gc = [exp_directories_gc[file] for file in indices_exp_directories_gc]\n",
+ "for sub in selected_subdirectories_gc: \n",
+ " print(sub)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Provide filenames of the files that contains the meta data and experimental data, respectively."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "filename_exp_gc = 'report01.CSV'\n",
+ "filename_meta_gc = 'report00.CSV'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Initialize GCParser."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "gcparser = GCParser(selected_subdirectories_gc, filename_meta_gc, filename_exp_gc)"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Show available metadata files contained in the selected directory."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0: report00.CSV\n",
+ "1: report00.CSV\n",
+ "2: report00.CSV\n"
+ ]
+ }
+ ],
+ "source": [
+ "metadata_dict_gc = gcparser.available_meta_files\n",
+ "for index, gc_file in metadata_dict_gc.items():\n",
+ " print(f\"{index}: {gc_file.name}\")"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Select GC metadata files to be parsed by their indices."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "indices_gc_meta = [0,1,2]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Show available experimental data files contained in the selected directory."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0: report01.CSV\n",
+ "1: report01.CSV\n",
+ "2: report01.CSV\n"
+ ]
+ }
+ ],
+ "source": [
+ "exp_data_dict_gc = gcparser.available_exp_files\n",
+ "for index, gc_file in exp_data_dict_gc.items():\n",
+ " print(f\"{index}: {gc_file.name}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Select GC experimental data files to be parsed by their indices."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "indices_gc_exp = [0,1,2]"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Extract the metadata and experimental data from them and load into the dataset."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "\n",
+ "list_df_meta = []\n",
+ "list_df_exp = []\n",
+ "for index in indices_gc_exp:\n",
+ " metadata_df_gc, metadata_gc= gcparser.extract_metadata(index)\n",
+ " exp_data_df_gc, exp_data_gc = gcparser.extract_exp_data(index)\n",
+ " gc = lib.Measurement(\n",
+ " measurement_type=lib.enums.MeasurementType.GC.value,\n",
+ " metadata=[value for value in metadata_gc.values()],\n",
+ " experimental_data=[value for value in exp_data_gc.values()]\n",
+ " )\n",
+ " experiment.measurements.append(gc)\n",
+ " list_df_meta.append(metadata_df_gc)\n",
+ " list_df_exp.append(exp_data_df_gc)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Print example content of first metadata file."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ " TCD1 A, Front Signal | \n",
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+ " 24 | \n",
+ " Signal 2 | \n",
+ " FID2 B, Back Signal | \n",
+ " NaN | \n",
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+ " \n",
+ " 25 | \n",
+ " Number of Errors and Warnings | \n",
+ " 0 | \n",
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+ "
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+ " 26 | \n",
+ " Number of Columns | \n",
+ " 7 | \n",
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+ " 27 | \n",
+ " Column 1 | \n",
+ " Peak Number | \n",
+ " NaN | \n",
+ "
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+ " \n",
+ " 28 | \n",
+ " Column 2 | \n",
+ " Retention Time | \n",
+ " min | \n",
+ "
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+ " \n",
+ " 29 | \n",
+ " Column 3 | \n",
+ " Signal | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " 30 | \n",
+ " Column 4 | \n",
+ " Peak Type | \n",
+ " NaN | \n",
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+ " \n",
+ " 31 | \n",
+ " Column 5 | \n",
+ " Area | \n",
+ " | \n",
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+ " \n",
+ " 32 | \n",
+ " Column 6 | \n",
+ " Height | \n",
+ " | \n",
+ "
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+ " \n",
+ " 33 | \n",
+ " Column 7 | \n",
+ " Area % | \n",
+ " NaN | \n",
+ "
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+ " \n",
+ "
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+ "
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+ ],
+ "text/plain": [
+ " parameter \n",
+ "0 Sample Name \\\n",
+ "1 Sample Info \n",
+ "2 Data File \n",
+ "3 Acq. Instrument \n",
+ "4 Analysis Method \n",
+ "5 Method Info \n",
+ "6 Results Created \n",
+ "7 Results Created by \n",
+ "8 Acq. Method \n",
+ "9 Injection Date \n",
+ "10 Acq. Operator \n",
+ "11 Seq. Line \n",
+ "12 Location \n",
+ "13 unused Loc. \n",
+ "14 Inj \n",
+ "15 Inj Volume \n",
+ "16 Actual Inj Volume \n",
+ "17 Sequence File \n",
+ "18 Report Title \n",
+ "19 Sorted By \n",
+ "20 Multiplier: \n",
+ "21 Dilution: \n",
+ "22 Number of Signals \n",
+ "23 Signal 1 \n",
+ "24 Signal 2 \n",
+ "25 Number of Errors and Warnings \n",
+ "26 Number of Columns \n",
+ "27 Column 1 \n",
+ "28 Column 2 \n",
+ "29 Column 3 \n",
+ "30 Column 4 \n",
+ "31 Column 5 \n",
+ "32 Column 6 \n",
+ "33 Column 7 \n",
+ "\n",
+ " value description \n",
+ "0 NaN NaN \n",
+ "1 NaN NaN \n",
+ "2 D:\\GC\\Kurz\\CAD14-Cu@AB\\JH-1H 2023-02-06 10-00-18\\ NV-F0102.D \n",
+ "3 Instrument 1 NaN \n",
+ "4 D:\\GC\\Kurz\\CAD14-Cu@AB\\JH-1H 2023-02-06 10-00-18\\ JH_GASPRODUKTE.M \n",
+ "5 NaN NaN \n",
+ "6 06.02.2023 10:32:26 NaN \n",
+ "7 MS NaN \n",
+ "8 JH_GASPRODUKTE.M NaN \n",
+ "9 06-Feb-23, 10:17:24 NaN \n",
+ "10 06-Feb-23, 10:17:24 NaN \n",
+ "11 1 NaN \n",
+ "12 -1 NaN \n",
+ "13 0 NaN \n",
+ "14 2 NaN \n",
+ "15 No inj NaN \n",
+ "16 No inj NaN \n",
+ "17 D:\\GC\\Kurz\\CAD14-Cu@AB\\JH-1H 2023-02-06 10-00-18\\ JH-1H.S \n",
+ "18 Area Percent Report NaN \n",
+ "19 Retention Time NaN \n",
+ "20 1 NaN \n",
+ "21 1 NaN \n",
+ "22 2 NaN \n",
+ "23 TCD1 A, Front Signal NaN \n",
+ "24 FID2 B, Back Signal NaN \n",
+ "25 0 NaN \n",
+ "26 7 NaN \n",
+ "27 Peak Number NaN \n",
+ "28 Retention Time min \n",
+ "29 Signal NaN \n",
+ "30 Peak Type NaN \n",
+ "31 Area \n",
+ "32 Height \n",
+ "33 Area % NaN "
+ ]
+ },
+ "execution_count": 47,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "list_df_meta[0]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Print example content of first experimental data file."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Peak_number | \n",
+ " Retention_time | \n",
+ " Signal | \n",
+ " Peak_type | \n",
+ " Peak_area | \n",
+ " Peak_height | \n",
+ " Peak_area_percentage | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " 1 | \n",
+ " 1.729967 | \n",
+ " 1 | \n",
+ " PBAN | \n",
+ " 69.171577 | \n",
+ " 32.512886 | \n",
+ " 0.098238 | \n",
+ "
\n",
+ " \n",
+ " 1 | \n",
+ " 2 | \n",
+ " 2.909973 | \n",
+ " 1 | \n",
+ " BBA | \n",
+ " 65492.746094 | \n",
+ " 3794.478271 | \n",
+ " 93.013605 | \n",
+ "
\n",
+ " \n",
+ " 2 | \n",
+ " 3 | \n",
+ " 3.434230 | \n",
+ " 2 | \n",
+ " BV | \n",
+ " 164.157028 | \n",
+ " 43.253098 | \n",
+ " 0.233138 | \n",
+ "
\n",
+ " \n",
+ " 3 | \n",
+ " 4 | \n",
+ " 3.657794 | \n",
+ " 2 | \n",
+ " VB | \n",
+ " 141.173935 | \n",
+ " 49.408844 | \n",
+ " 0.200497 | \n",
+ "
\n",
+ " \n",
+ " 4 | \n",
+ " 5 | \n",
+ " 6.045472 | \n",
+ " 2 | \n",
+ " BB | \n",
+ " 1624.073730 | \n",
+ " 347.834717 | \n",
+ " 2.306530 | \n",
+ "
\n",
+ " \n",
+ " 5 | \n",
+ " 6 | \n",
+ " 12.997822 | \n",
+ " 1 | \n",
+ " BB | \n",
+ " 2876.952637 | \n",
+ " 88.829025 | \n",
+ " 4.085884 | \n",
+ "
\n",
+ " \n",
+ " 6 | \n",
+ " 7 | \n",
+ " 14.194683 | \n",
+ " 2 | \n",
+ " BB | \n",
+ " 43.731697 | \n",
+ " 14.139935 | \n",
+ " 0.062108 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Peak_number Retention_time Signal Peak_type Peak_area Peak_height \n",
+ "0 1 1.729967 1 PBAN 69.171577 32.512886 \\\n",
+ "1 2 2.909973 1 BBA 65492.746094 3794.478271 \n",
+ "2 3 3.434230 2 BV 164.157028 43.253098 \n",
+ "3 4 3.657794 2 VB 141.173935 49.408844 \n",
+ "4 5 6.045472 2 BB 1624.073730 347.834717 \n",
+ "5 6 12.997822 1 BB 2876.952637 88.829025 \n",
+ "6 7 14.194683 2 BB 43.731697 14.139935 \n",
+ "\n",
+ " Peak_area_percentage \n",
+ "0 0.098238 \n",
+ "1 93.013605 \n",
+ "2 0.233138 \n",
+ "3 0.200497 \n",
+ "4 2.306530 \n",
+ "5 4.085884 \n",
+ "6 0.062108 "
+ ]
+ },
+ "execution_count": 48,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "list_df_exp[0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# hplc_path = raw_data_path / '04_HPLC'\n",
+ "# pressure_path = raw_data_path / '05_Pressure'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "## Section 4: Calibration data parsing\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Set path to calibration data."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "path_calibration_data = path_data / 'calibration'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Print json files available in the ```calibration``` directory."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0:/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/data/calibration/calibration.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "files_dict_calibration = Calibrator.available_json_files(path_to_calibration_data=path_calibration_data)\n",
+ "for count, path in files_dict_calibration.items():\n",
+ " print(f'{count}:{path}')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Select calibration data files to be parsed by its index."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'calibration.json'"
+ ]
+ },
+ "execution_count": 52,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "file_index_calibration = 0\n",
+ "file_calibration = files_dict_calibration[file_index_mfm]\n",
+ "file_calibration.name"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Initialize calibrator by its method ```from_json_file```."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "calibrator = Calibrator.from_json_file(path_to_json_file=file_calibration)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Calibrate and return analysis object with calibration parameters just computed.
Append the resulting SpeciesData objects to the experiment object."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "species_data_list = calibrator.calibrate()\n",
+ "experiment.species_data = species_data_list"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "## Section 5: Parsing auxiliary data\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Correction factors"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Set path for the ``correction`` ``factors``."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "filename = 'correction_factors.json'\n",
+ "path_correction_factors = path_data / 'correction_factors' / filename"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Load correction factors."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 56,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "experiment.read_correction_factors(path_correction_factors)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Farady coefficients"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Set path for the ``Faraday`` ``coefficients``."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "filename = 'faraday_coefficients.json'\n",
+ "path_faraday_coefficients = path_data / 'faraday_coefficients' / filename"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Load faraday coefficients."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "experiment.read_faraday_coefficients(path_faraday_coefficients)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Electrode surface area"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Set value for the surface area of the electrode."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 59,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "electrode_surface_area = 1.0 # cm^2"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "## Section 6: Appending parsed data to dataset\n",
+ "---"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Print current state of experiment object."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 60,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# print(experiment.json())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 61,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dataset.experiments.append(experiment)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 66,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open(json_files[index_dataset], \"w\") as f:\n",
+ " f.write(dataset.json())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 65,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# button = widgets.Button(description=\"Append experiment\", layout=widgets.Layout(width='30%', height='80px'))\n",
+ "# button.style.button_color = 'darkcyan'\n",
+ "# button.style.text_color = 'lightgrey'\n",
+ "# button.style.font_size = '30px'\n",
+ "\n",
+ "\n",
+ "# output = widgets.Output()\n",
+ "\n",
+ "# display(button, output)\n",
+ "\n",
+ "# def click_on_button(b):\n",
+ "# with output:\n",
+ "# print(\"Experiment successfully appended.\")\n",
+ "\n",
+ "# button.on_click(click_on_button)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 64,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "%%html\n",
+ ""
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "b07",
+ "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": "3.10.4"
+ },
+ "orig_nbformat": 4,
+ "vscode": {
+ "interpreter": {
+ "hash": "9f62ab2d43dc75e3c3b007469adeb0f7488873df876b9b71dd3b119f0280ba41"
+ }
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/2.2_Experimental_analysis.ipynb b/2.2_Experimental_analysis.ipynb
new file mode 100644
index 0000000..cae5dbb
--- /dev/null
+++ b/2.2_Experimental_analysis.ipynb
@@ -0,0 +1,2451 @@
+{
+ "cells": [
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Workflow for the CRC1333 project B07 - Technical Chemistry\n",
+ "# Experimental notebook\n",
+ "# 2.2 Analysis"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "\n",
+ "This is the ``Experimental`` ``notebook``, where the actual analysis of the experiments takes place. It consists of three parts: ``Parsing``, ``analysis`` and ``DaRUS`` ``upload``. Within the scope of each project, multiple experiments are perfomed, hence multiple analyses are to be done. For each individual experiment this workflow is to be executed once, and the results can be appended to the project's dataset.\n",
+ "\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# from sdRDM.generator import generate_python_api\n",
+ "from sdRDM import DataModel"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# generate_python_api('specifications/datamodel_b07_tc.md', '', 'datamodel_b07_tc')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Import standard library python packages."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%reload_ext autoreload\n",
+ "%autoreload 2\n",
+ "\n",
+ "from datamodel_b07_tc.tools import FaradayEfficiencyCalculator\n",
+ "from datamodel_b07_tc.tools import PeakAreaAssignment\n",
+ "# from DEXPI2sdRDM import DEXPI2sdRDM"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "import json\n",
+ "import ipywidgets as widgets\n",
+ "import logging\n",
+ "import logging.config\n",
+ "from IPython.display import display\n",
+ "from pathlib import Path"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "## Section 0: Paths and Logging\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Get path to the directory this notebook is located and check for correctness."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Path to this notebook's location: /mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc\n",
+ "Is the path valid? True\n"
+ ]
+ }
+ ],
+ "source": [
+ "root = Path(os.path.abspath(''))\n",
+ "print(\"Path to this notebook's location:\", root)\n",
+ "print('Is the path valid?', root.is_dir())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Set path for the logger."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/datamodel_b07_tc/tools/logging/config.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "config_path = root / \"datamodel_b07_tc/tools/logging/config.json\"\n",
+ "print(config_path)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Set up logger."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "logging_config_path = root / \"datamodel_b07_tc/tools/logging/config.json\"\n",
+ "with open(logging_config_path) as logging_config_json:\n",
+ " logging_config = json.load(logging_config_json)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "logging.config.dictConfig(logging_config)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "2023-09-19 15:20:02,956 - __main__ - WARNING - uff\n"
+ ]
+ }
+ ],
+ "source": [
+ "logger = logging.getLogger(__name__)\n",
+ "logger.debug(\"obacht\")\n",
+ "logger.warning('uff')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "## Section 1: Parsing dataset\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In this section the data model and the dataset as well as all the output files necessary for analysis are parsed. "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ " Set path to datasets."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "path_to_datasets = root / 'datasets'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "List all available datasets in the directory.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "0: b07.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "files = path_to_datasets.iterdir()\n",
+ "json_files = {index:file for index, file in enumerate(files) if file.suffix == '.json'}\n",
+ "for index, file in json_files.items():\n",
+ " print(f'{index}: {file.name}')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Choose dataset to be loaded by its index."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "index_dataset = 0\n",
+ "dataset, lib = DataModel.parse(json_files[index_dataset])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Visualize the data model."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# lib.Dataset.meta_tree()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Print current status of the dataset."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# print(dataset.json())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "## Section 2: Analysis\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "index_experiment = 0"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "experiment = dataset.experiments[index_experiment]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\u001b[4mExperiment\u001b[0m\n",
+ "├── \u001b[94mid\u001b[0m = experiment0\n",
+ "├── \u001b[94mplant_setup\u001b[0m\n",
+ "│ └── \u001b[4mPlantSetup\u001b[0m\n",
+ "│ └── \u001b[94mid\u001b[0m = plantsetup0\n",
+ "├── \u001b[94mmeasurements\u001b[0m\n",
+ "│ ├── 0\n",
+ "│ │ └── \u001b[4mMeasurement\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = measurement1\n",
+ "│ │ ├── \u001b[94mmeasurement_type\u001b[0m = Potentiostatic measurement\n",
+ "│ │ └── \u001b[94mmetadata\u001b[0m\n",
+ "│ │ ├── 0\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata1\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = PSTAT\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = REF3000-19129\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = PSTAT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Potentiostat\n",
+ "│ │ ├── 1\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata2\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = IINIT\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = -2.00000E+002\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Initial I (mA/cm^2)\n",
+ "│ │ ├── 2\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata3\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = TINIT\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 3.60000E+003\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Initial Time (s)\n",
+ "│ │ ├── 3\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata4\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = IFINAL\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = -2.00000E+002\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Final I (mA/cm^2)\n",
+ "│ │ ├── 4\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata5\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = TFINAL\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 0.00000E+000\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Final Time (s)\n",
+ "│ │ ├── 5\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata6\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = SAMPLETIME\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 1.00000E+000\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Sample Period (s)\n",
+ "│ │ ├── 6\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata7\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = AREA\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 1.00000E+000\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Sample Area (cm^2)\n",
+ "│ │ ├── 7\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata8\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = DENSITY\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 7.87000E+000\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Density (g/cm^3)\n",
+ "│ │ ├── 8\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata9\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = EQUIV\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 2.79200E+001\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Equiv. Wt\n",
+ "│ │ ├── 9\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata10\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = IRCOMP\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = T\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = TOGGLE\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = IR Comp\n",
+ "│ │ ├── 10\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata11\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = EOC\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Open Circuit (V)\n",
+ "│ │ ├── 11\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata12\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = SEQUENCER\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = TRUE\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = TOGGLE\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Run as Sequence\n",
+ "│ │ ├── 12\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata13\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = PSTATMODEL\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 5\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Pstat Model\n",
+ "│ │ ├── 13\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata14\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = PSTATSECTION\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = REF3000-19129\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = LABEL\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Pstat Section\n",
+ "│ │ ├── 14\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata15\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = PSTATSERIALNO\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 19129\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = LABEL\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Pstat Serial Number\n",
+ "│ │ ├── 15\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata16\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = CTRLMODE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Control Mode\n",
+ "│ │ ├── 16\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata17\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = ELECTROMETER\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = RE=0 or CS=1\n",
+ "│ │ ├── 17\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata18\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = IESTAB\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = I/E Stability\n",
+ "│ │ ├── 18\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata19\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = CASPEED\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 4\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Control Amp Speed\n",
+ "│ │ ├── 19\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata20\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = CONVENTION\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Current Convention\n",
+ "│ │ ├── 20\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata21\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = ICHRANGE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 2\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Ich Range\n",
+ "│ │ ├── 21\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata22\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = ICHRANGEMODE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = T\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = TOGGLE\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Ich Auto Range\n",
+ "│ │ ├── 22\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata23\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = ICHOFFSETENABLE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = F\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = TOGGLE\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Ich Offset Enable\n",
+ "│ │ ├── 23\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata24\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = ICHOFFSET\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Ich Offset (V)\n",
+ "│ │ ├── 24\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata25\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = ICHFILTER\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 3\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Ich Filter\n",
+ "│ │ ├── 25\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata26\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = VCHRANGE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 3\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Vch Range\n",
+ "│ │ ├── 26\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata27\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = VCHRANGEMODE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = T\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = TOGGLE\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Vch Auto Range\n",
+ "│ │ ├── 27\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata28\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = VCHOFFSETENABLE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = F\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = TOGGLE\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Vch Offset Enable\n",
+ "│ │ ├── 28\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata29\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = VCHOFFSET\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Vch Offset (V)\n",
+ "│ │ ├── 29\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata30\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = VCHFILTER\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Vch Filter\n",
+ "│ │ ├── 30\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata31\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = ACHRANGE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 2\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Ach Range\n",
+ "│ │ ├── 31\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata32\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = ACHOFFSETENABLE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = F\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = TOGGLE\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Ach Offset Enable\n",
+ "│ │ ├── 32\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata33\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = ACHOFFSET\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Ach Offset (V)\n",
+ "│ │ ├── 33\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata34\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = ACHFILTER\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Ach Filter\n",
+ "│ │ ├── 34\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata35\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = IERANGELOWERLIMIT\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 4\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = I/E Range Lower Limit\n",
+ "│ │ ├── 35\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata36\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = IERANGEMODE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = F\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = TOGGLE\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = I/E AutoRange\n",
+ "│ │ ├── 36\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata37\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = IERANGE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 11\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = I/E Range\n",
+ "│ │ ├── 37\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata38\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = POSFEEDENABLE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = F\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = TOGGLE\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Positive Feedback IR Comp\n",
+ "│ │ ├── 38\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata39\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = POSFEEDRESISTANCE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Positive Feedback Resistance (ohm)\n",
+ "│ │ ├── 39\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata40\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = ACHSELECT\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Ach Select\n",
+ "│ │ ├── 40\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata41\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = SENSECABLEID\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 14\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Sense Cable ID\n",
+ "│ │ ├── 41\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata42\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = PWRCABLEID\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 13\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Power Cable ID\n",
+ "│ │ ├── 42\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata43\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = DCCALDATE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 11/22/2022\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = LABEL\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = DC Calibration Date\n",
+ "│ │ ├── 43\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata44\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = ACCALDATE\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = nan\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = LABEL\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = AC Calibration Date\n",
+ "│ │ ├── 44\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata45\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = THERMOSELECT\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Thermo Select\n",
+ "│ │ ├── 45\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata46\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = FRAMEWORKVERSION\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 7.07\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = QUANT\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Framework Version\n",
+ "│ │ ├── 46\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata47\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = INSTRUMENTVERSION\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 4.35\n",
+ "│ │ │ ├── \u001b[94mdata_type\u001b[0m = LABEL\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = Instrument Version\n",
+ "│ │ └── 47\n",
+ "│ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = metadata48\n",
+ "│ │ ├── \u001b[94mparameter\u001b[0m = COMPLIANCEVOLTAGE\n",
+ "│ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ ├── \u001b[94mdata_type\u001b[0m = IQUANT\n",
+ "│ │ └── \u001b[94mdescription\u001b[0m = Compliance Voltage\n",
+ "│ ├── 1\n",
+ "│ │ └── \u001b[4mMeasurement\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = measurement2\n",
+ "│ │ ├── \u001b[94mmeasurement_type\u001b[0m = MFM measurement\n",
+ "│ │ └── \u001b[94mexperimental_data\u001b[0m\n",
+ "│ │ ├── 0\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data6\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Date time\n",
+ "│ │ │ └── \u001b[94mvalues\u001b[0m = [2023-02-06 09:58:48, 2023-02-06 09:58:50, 2023-02-06 09:58:52, 2023-02-06 09:58:54, 2023-02-06 09:58:56, ...]\n",
+ "│ │ ├── 1\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data7\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Time\n",
+ "│ │ │ ├── \u001b[94mvalues\u001b[0m = [0.0, 2.0, 4.0, 6.0, 8.0, ...]\n",
+ "│ │ │ └── \u001b[94munit\u001b[0m = s\n",
+ "│ │ ├── 2\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data8\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Signal\n",
+ "│ │ │ └── \u001b[94mvalues\u001b[0m = [3258.0, 3267.0, 3273.0, 3278.0, 3290.0, ...]\n",
+ "│ │ └── 3\n",
+ "│ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = data9\n",
+ "│ │ ├── \u001b[94mquantity\u001b[0m = Volumetric flow rate\n",
+ "│ │ ├── \u001b[94mvalues\u001b[0m = [5.09018, 5.104674, 5.11452, 5.122616, 5.139893, ...]\n",
+ "│ │ └── \u001b[94munit\u001b[0m = ml / s\n",
+ "│ ├── 2\n",
+ "│ │ └── \u001b[4mMeasurement\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = measurement3\n",
+ "│ │ ├── \u001b[94mmeasurement_type\u001b[0m = GC measurement\n",
+ "│ │ ├── \u001b[94mmetadata\u001b[0m\n",
+ "│ │ │ ├── 0\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata49\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Sample Name\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = nan\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 1\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata50\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Sample Info\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = nan\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 2\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata51\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Data File\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = D:\\GC\\Kurz\\CAD14-Cu@AB\\JH-1H 2023-02-06 10-00-18\\\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = NV-F0102.D\n",
+ "│ │ │ ├── 3\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata52\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Acq. Instrument\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Instrument 1\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 4\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata53\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Analysis Method\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = D:\\GC\\Kurz\\CAD14-Cu@AB\\JH-1H 2023-02-06 10-00-18\\\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = JH_GASPRODUKTE.M\n",
+ "│ │ │ ├── 5\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata54\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Method Info\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = nan\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 6\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata55\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Results Created\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 06.02.2023 10:32:26\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 7\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata56\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Results Created by\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = MS\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 8\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata57\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Acq. Method\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = JH_GASPRODUKTE.M\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 9\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata58\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Injection Date\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 06-Feb-23, 10:17:24\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 10\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata59\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Acq. Operator\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 06-Feb-23, 10:17:24\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 11\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata60\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Seq. Line\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 12\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata61\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Location\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = -1\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 13\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata62\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = unused Loc.\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 14\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata63\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Inj\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 2\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 15\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata64\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Inj Volume\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = No inj\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 16\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata65\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Actual Inj Volume\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = No inj\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 17\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata66\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Sequence File\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = D:\\GC\\Kurz\\CAD14-Cu@AB\\JH-1H 2023-02-06 10-00-18\\\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = JH-1H.S\n",
+ "│ │ │ ├── 18\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata67\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Report Title\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Area Percent Report\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 19\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata68\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Sorted By\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Retention Time\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 20\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata69\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Multiplier: \n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 21\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata70\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Dilution: \n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 22\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata71\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Number of Signals\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 2\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 23\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata72\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Signal 1\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = TCD1 A, Front Signal\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 24\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata73\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Signal 2\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = FID2 B, Back Signal\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 25\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata74\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Number of Errors and Warnings\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 26\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata75\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Number of Columns\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 7\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 27\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata76\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Column 1\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Peak Number\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 28\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata77\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Column 2\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Retention Time\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = min\n",
+ "│ │ │ ├── 29\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata78\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Column 3\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Signal\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 30\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata79\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Column 4\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Peak Type\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 31\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata80\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Column 5\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Area \n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = \n",
+ "│ │ │ ├── 32\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata81\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Column 6\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Height\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = \n",
+ "│ │ │ └── 33\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata82\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Column 7\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = Area %\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ └── \u001b[94mexperimental_data\u001b[0m\n",
+ "│ │ ├── 0\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data10\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Peak number\n",
+ "│ │ │ └── \u001b[94mvalues\u001b[0m = [1.0, 2.0, 3.0, 4.0, 5.0, ...]\n",
+ "│ │ ├── 1\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data11\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Retention time\n",
+ "│ │ │ ├── \u001b[94mvalues\u001b[0m = [1.72996652126312, 2.90997338294983, 3.43423008918762, 3.65779399871826, 6.04547214508057, ...]\n",
+ "│ │ │ └── \u001b[94munit\u001b[0m = s\n",
+ "│ │ ├── 2\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data12\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Signal\n",
+ "│ │ │ └── \u001b[94mvalues\u001b[0m = [1.0, 1.0, 2.0, 2.0, 2.0, ...]\n",
+ "│ │ ├── 3\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data13\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Peak type\n",
+ "│ │ │ └── \u001b[94mvalues\u001b[0m = [PBAN, BBA , BV , VB , BB , ...]\n",
+ "│ │ ├── 4\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data14\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Peak area\n",
+ "│ │ │ └── \u001b[94mvalues\u001b[0m = [69.1715774536133, 65492.74609375, 164.157028198242, 141.173934936524, 1624.07373046875, ...]\n",
+ "│ │ ├── 5\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data15\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Peak height\n",
+ "│ │ │ └── \u001b[94mvalues\u001b[0m = [32.5128860473633, 3794.47827148438, 43.2530975341797, 49.4088439941406, 347.834716796875, ...]\n",
+ "│ │ └── 6\n",
+ "│ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = data16\n",
+ "│ │ ├── \u001b[94mquantity\u001b[0m = Peak area percentage\n",
+ "│ │ ├── \u001b[94mvalues\u001b[0m = [0.0982383270934109, 93.0136054410226, 0.233137835285536, 0.200496962884192, 2.30652953468637, ...]\n",
+ "│ │ └── \u001b[94munit\u001b[0m = %\n",
+ "│ ├── 3\n",
+ "│ │ └── \u001b[4mMeasurement\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = measurement4\n",
+ "│ │ ├── \u001b[94mmeasurement_type\u001b[0m = GC measurement\n",
+ "│ │ ├── \u001b[94mmetadata\u001b[0m\n",
+ "│ │ │ ├── 0\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata83\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Sample Name\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = nan\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 1\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata84\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Sample Info\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = nan\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 2\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata85\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Data File\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = D:\\GC\\Kurz\\CAD14-Cu@AB\\JH-1H 2023-02-06 10-00-18\\\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = NV-F0103.D\n",
+ "│ │ │ ├── 3\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata86\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Acq. Instrument\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Instrument 1\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 4\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata87\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Analysis Method\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = D:\\GC\\Kurz\\CAD14-Cu@AB\\JH-1H 2023-02-06 10-00-18\\\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = JH_GASPRODUKTE.M\n",
+ "│ │ │ ├── 5\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata88\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Method Info\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = nan\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 6\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata89\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Results Created\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 06.02.2023 10:49:09\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 7\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata90\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Results Created by\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = MS\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 8\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata91\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Acq. Method\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = JH_GASPRODUKTE.M\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 9\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata92\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Injection Date\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 06-Feb-23, 10:34:09\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 10\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata93\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Acq. Operator\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 06-Feb-23, 10:34:09\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 11\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata94\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Seq. Line\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 12\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata95\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Location\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = -1\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 13\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata96\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = unused Loc.\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 14\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata97\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Inj\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 3\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 15\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata98\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Inj Volume\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = No inj\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 16\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata99\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Actual Inj Volume\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = No inj\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 17\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata100\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Sequence File\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = D:\\GC\\Kurz\\CAD14-Cu@AB\\JH-1H 2023-02-06 10-00-18\\\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = JH-1H.S\n",
+ "│ │ │ ├── 18\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata101\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Report Title\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Area Percent Report\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 19\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata102\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Sorted By\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Retention Time\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 20\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata103\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Multiplier: \n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 21\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata104\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Dilution: \n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 22\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata105\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Number of Signals\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 2\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 23\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata106\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Signal 1\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = TCD1 A, Front Signal\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 24\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata107\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Signal 2\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = FID2 B, Back Signal\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 25\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata108\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Number of Errors and Warnings\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 26\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata109\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Number of Columns\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = 7\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 27\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata110\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Column 1\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Peak Number\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 28\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata111\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Column 2\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Retention Time\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = min\n",
+ "│ │ │ ├── 29\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata112\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Column 3\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Signal\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 30\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata113\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Column 4\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Peak Type\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ │ ├── 31\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata114\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Column 5\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Area \n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = \n",
+ "│ │ │ ├── 32\n",
+ "│ │ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ │ ├── \u001b[94mid\u001b[0m = metadata115\n",
+ "│ │ │ │ ├── \u001b[94mparameter\u001b[0m = Column 6\n",
+ "│ │ │ │ ├── \u001b[94mvalue\u001b[0m = Height\n",
+ "│ │ │ │ └── \u001b[94mdescription\u001b[0m = \n",
+ "│ │ │ └── 33\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata116\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Column 7\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = Area %\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ └── \u001b[94mexperimental_data\u001b[0m\n",
+ "│ │ ├── 0\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data17\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Peak number\n",
+ "│ │ │ └── \u001b[94mvalues\u001b[0m = [1.0, 2.0, 3.0, 4.0, 5.0, ...]\n",
+ "│ │ ├── 1\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data18\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Retention time\n",
+ "│ │ │ ├── \u001b[94mvalues\u001b[0m = [1.73203873634339, 2.89946079254151, 3.42624497413635, 3.65776324272156, 6.04652786254883, ...]\n",
+ "│ │ │ └── \u001b[94munit\u001b[0m = s\n",
+ "│ │ ├── 2\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data19\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Signal\n",
+ "│ │ │ └── \u001b[94mvalues\u001b[0m = [1.0, 1.0, 2.0, 2.0, 2.0, ...]\n",
+ "│ │ ├── 3\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data20\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Peak type\n",
+ "│ │ │ └── \u001b[94mvalues\u001b[0m = [BBAN, BBA , BV , VB , BB , ...]\n",
+ "│ │ ├── 4\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data21\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Peak area\n",
+ "│ │ │ └── \u001b[94mvalues\u001b[0m = [104.630867004395, 70813.515625, 317.436950683594, 160.268005371094, 1518.81433105469, ...]\n",
+ "│ │ ├── 5\n",
+ "│ │ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = data22\n",
+ "│ │ │ ├── \u001b[94mquantity\u001b[0m = Peak height\n",
+ "│ │ │ └── \u001b[94mvalues\u001b[0m = [21.9065132141114, 4055.20532226563, 82.3093490600586, 55.405071258545, 323.761383056641, ...]\n",
+ "│ │ └── 6\n",
+ "│ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = data23\n",
+ "│ │ ├── \u001b[94mquantity\u001b[0m = Peak area percentage\n",
+ "│ │ ├── \u001b[94mvalues\u001b[0m = [0.136511911555066, 92.3904069484319, 0.414160048336486, 0.209101696284392, 1.98159733896495, ...]\n",
+ "│ │ └── \u001b[94munit\u001b[0m = %\n",
+ "│ └── 4\n",
+ "│ └── \u001b[4mMeasurement\u001b[0m\n",
+ "│ ├── \u001b[94mid\u001b[0m = measurement5\n",
+ "│ ├── \u001b[94mmeasurement_type\u001b[0m = GC measurement\n",
+ "│ ├── \u001b[94mmetadata\u001b[0m\n",
+ "│ │ ├── 0\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata117\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Sample Name\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = nan\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 1\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata118\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Sample Info\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = nan\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 2\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata119\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Data File\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = D:\\GC\\Kurz\\CAD14-Cu@AB\\JH-1H 2023-02-06 10-00-18\\\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = NV-F0104.D\n",
+ "│ │ ├── 3\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata120\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Acq. Instrument\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = Instrument 1\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 4\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata121\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Analysis Method\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = D:\\GC\\Kurz\\CAD14-Cu@AB\\JH-1H 2023-02-06 10-00-18\\\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = JH_GASPRODUKTE.M\n",
+ "│ │ ├── 5\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata122\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Method Info\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = nan\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 6\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata123\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Results Created\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 06.02.2023 11:05:56\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 7\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata124\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Results Created by\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = MS\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 8\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata125\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Acq. Method\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = JH_GASPRODUKTE.M\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 9\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata126\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Injection Date\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 06-Feb-23, 10:50:57\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 10\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata127\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Acq. Operator\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 06-Feb-23, 10:50:57\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 11\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata128\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Seq. Line\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 12\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata129\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Location\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = -1\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 13\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata130\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = unused Loc.\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 14\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata131\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Inj\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 4\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 15\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata132\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Inj Volume\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = No inj\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 16\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata133\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Actual Inj Volume\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = No inj\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 17\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata134\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Sequence File\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = D:\\GC\\Kurz\\CAD14-Cu@AB\\JH-1H 2023-02-06 10-00-18\\\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = JH-1H.S\n",
+ "│ │ ├── 18\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata135\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Report Title\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = Area Percent Report\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 19\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata136\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Sorted By\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = Retention Time\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 20\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata137\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Multiplier: \n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 21\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata138\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Dilution: \n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 1\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 22\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata139\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Number of Signals\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 2\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 23\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata140\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Signal 1\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = TCD1 A, Front Signal\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 24\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata141\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Signal 2\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = FID2 B, Back Signal\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 25\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata142\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Number of Errors and Warnings\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 0\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 26\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata143\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Number of Columns\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = 7\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 27\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata144\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Column 1\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = Peak Number\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 28\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata145\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Column 2\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = Retention Time\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = min\n",
+ "│ │ ├── 29\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata146\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Column 3\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = Signal\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 30\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata147\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Column 4\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = Peak Type\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ │ ├── 31\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata148\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Column 5\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = Area \n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = \n",
+ "│ │ ├── 32\n",
+ "│ │ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ │ ├── \u001b[94mid\u001b[0m = metadata149\n",
+ "│ │ │ ├── \u001b[94mparameter\u001b[0m = Column 6\n",
+ "│ │ │ ├── \u001b[94mvalue\u001b[0m = Height\n",
+ "│ │ │ └── \u001b[94mdescription\u001b[0m = \n",
+ "│ │ └── 33\n",
+ "│ │ └── \u001b[4mMetadata\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = metadata150\n",
+ "│ │ ├── \u001b[94mparameter\u001b[0m = Column 7\n",
+ "│ │ ├── \u001b[94mvalue\u001b[0m = Area %\n",
+ "│ │ └── \u001b[94mdescription\u001b[0m = nan\n",
+ "│ └── \u001b[94mexperimental_data\u001b[0m\n",
+ "│ ├── 0\n",
+ "│ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = data24\n",
+ "│ │ ├── \u001b[94mquantity\u001b[0m = Peak number\n",
+ "│ │ └── \u001b[94mvalues\u001b[0m = [1.0, 2.0, 3.0, 4.0, 5.0, ...]\n",
+ "│ ├── 1\n",
+ "│ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = data25\n",
+ "│ │ ├── \u001b[94mquantity\u001b[0m = Retention time\n",
+ "│ │ ├── \u001b[94mvalues\u001b[0m = [1.73309767246247, 2.89876174926758, 3.42548274993897, 3.65832567214966, 6.04824113845825, ...]\n",
+ "│ │ └── \u001b[94munit\u001b[0m = s\n",
+ "│ ├── 2\n",
+ "│ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = data26\n",
+ "│ │ ├── \u001b[94mquantity\u001b[0m = Signal\n",
+ "│ │ └── \u001b[94mvalues\u001b[0m = [1.0, 1.0, 2.0, 2.0, 2.0, ...]\n",
+ "│ ├── 3\n",
+ "│ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = data27\n",
+ "│ │ ├── \u001b[94mquantity\u001b[0m = Peak type\n",
+ "│ │ └── \u001b[94mvalues\u001b[0m = [BBAN, BBA , BV , VB , BB , ...]\n",
+ "│ ├── 4\n",
+ "│ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = data28\n",
+ "│ │ ├── \u001b[94mquantity\u001b[0m = Peak area\n",
+ "│ │ └── \u001b[94mvalues\u001b[0m = [97.2599182128906, 71603.8515625, 317.305053710938, 159.882797241211, 1266.77111816406, ...]\n",
+ "│ ├── 5\n",
+ "│ │ └── \u001b[4mData\u001b[0m\n",
+ "│ │ ├── \u001b[94mid\u001b[0m = data29\n",
+ "│ │ ├── \u001b[94mquantity\u001b[0m = Peak height\n",
+ "│ │ └── \u001b[94mvalues\u001b[0m = [20.2486820220947, 4093.13842773438, 82.8404388427735, 56.0063934326172, 270.260955810547, ...]\n",
+ "│ └── 6\n",
+ "│ └── \u001b[4mData\u001b[0m\n",
+ "│ ├── \u001b[94mid\u001b[0m = data30\n",
+ "│ ├── \u001b[94mquantity\u001b[0m = Peak area percentage\n",
+ "│ ├── \u001b[94mvalues\u001b[0m = [0.126447191107516, 93.0918519049058, 0.412526902173047, 0.207862920194027, 1.6469235488905, ...]\n",
+ "│ └── \u001b[94munit\u001b[0m = %\n",
+ "└── \u001b[94mspecies_data\u001b[0m\n",
+ " ├── 0\n",
+ " │ └── \u001b[4mSpeciesData\u001b[0m\n",
+ " │ ├── \u001b[94mid\u001b[0m = speciesdata0\n",
+ " │ ├── \u001b[94mspecies\u001b[0m = Hydrogen\n",
+ " │ ├── \u001b[94mchemical_formula\u001b[0m = H2\n",
+ " │ ├── \u001b[94mcalibration\u001b[0m\n",
+ " │ │ └── \u001b[4mCalibration\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = calibration1\n",
+ " │ │ ├── \u001b[94mpeak_areas\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data6\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Peak area\n",
+ " │ │ │ └── \u001b[94mvalues\u001b[0m = [71.0, 153.0, 330.0, ...]\n",
+ " │ │ ├── \u001b[94mconcentrations\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data7\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Concentration\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [5.0, 10.0, 20.0, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ ├── \u001b[94mslope\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data18\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Slope\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [0.0576882835238838, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ ├── \u001b[94mintercept\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data19\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Intercept\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [1.0135636425894585, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ └── \u001b[94mcoefficient_of_determination\u001b[0m\n",
+ " │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = data20\n",
+ " │ │ ├── \u001b[94mquantity\u001b[0m = Coefficient of determination\n",
+ " │ │ └── \u001b[94mvalues\u001b[0m = [0.9996555416353008, ...]\n",
+ " │ ├── \u001b[94mcorrection_factor\u001b[0m = 1.01\n",
+ " │ ├── \u001b[94mfaraday_coefficient\u001b[0m = 2.0\n",
+ " │ └── \u001b[94mfaraday_efficiency\u001b[0m\n",
+ " │ └── \u001b[4mData\u001b[0m\n",
+ " │ └── \u001b[94mid\u001b[0m = data5\n",
+ " ├── 1\n",
+ " │ └── \u001b[4mSpeciesData\u001b[0m\n",
+ " │ ├── \u001b[94mid\u001b[0m = speciesdata1\n",
+ " │ ├── \u001b[94mspecies\u001b[0m = Carbon monoxide\n",
+ " │ ├── \u001b[94mchemical_formula\u001b[0m = CO\n",
+ " │ ├── \u001b[94mcalibration\u001b[0m\n",
+ " │ │ └── \u001b[4mCalibration\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = calibration2\n",
+ " │ │ ├── \u001b[94mpeak_areas\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data8\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Peak area\n",
+ " │ │ │ └── \u001b[94mvalues\u001b[0m = [797.0, 1328.0, 7223.0, ...]\n",
+ " │ │ ├── \u001b[94mconcentrations\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data9\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Concentration\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [0.5, 1.0, 5.0, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ ├── \u001b[94mslope\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data21\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Slope\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [0.0006912740171292098, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ ├── \u001b[94mintercept\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data22\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Intercept\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [0.012656829292048588, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ └── \u001b[94mcoefficient_of_determination\u001b[0m\n",
+ " │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = data23\n",
+ " │ │ ├── \u001b[94mquantity\u001b[0m = Coefficient of determination\n",
+ " │ │ └── \u001b[94mvalues\u001b[0m = [0.999269735035067, ...]\n",
+ " │ ├── \u001b[94mcorrection_factor\u001b[0m = 0.74\n",
+ " │ ├── \u001b[94mfaraday_coefficient\u001b[0m = 2.0\n",
+ " │ └── \u001b[94mfaraday_efficiency\u001b[0m\n",
+ " │ └── \u001b[4mData\u001b[0m\n",
+ " │ └── \u001b[94mid\u001b[0m = data5\n",
+ " ├── 2\n",
+ " │ └── \u001b[4mSpeciesData\u001b[0m\n",
+ " │ ├── \u001b[94mid\u001b[0m = speciesdata2\n",
+ " │ ├── \u001b[94mspecies\u001b[0m = Carbon dioxide\n",
+ " │ ├── \u001b[94mchemical_formula\u001b[0m = CO2\n",
+ " │ ├── \u001b[94mcalibration\u001b[0m\n",
+ " │ │ └── \u001b[4mCalibration\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = calibration3\n",
+ " │ │ ├── \u001b[94mpeak_areas\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data10\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Peak area\n",
+ " │ │ │ └── \u001b[94mvalues\u001b[0m = [0.0, 38653.0, ...]\n",
+ " │ │ ├── \u001b[94mconcentrations\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data11\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Concentration\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [0.0, 50.0, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ ├── \u001b[94mslope\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data24\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Slope\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [0.0012935606550591157, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ ├── \u001b[94mintercept\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data25\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Intercept\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [0.0, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ └── \u001b[94mcoefficient_of_determination\u001b[0m\n",
+ " │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = data26\n",
+ " │ │ ├── \u001b[94mquantity\u001b[0m = Coefficient of determination\n",
+ " │ │ └── \u001b[94mvalues\u001b[0m = [1.0, ...]\n",
+ " │ ├── \u001b[94mcorrection_factor\u001b[0m = 1.0\n",
+ " │ ├── \u001b[94mfaraday_coefficient\u001b[0m = 2.0\n",
+ " │ └── \u001b[94mfaraday_efficiency\u001b[0m\n",
+ " │ └── \u001b[4mData\u001b[0m\n",
+ " │ └── \u001b[94mid\u001b[0m = data5\n",
+ " ├── 3\n",
+ " │ └── \u001b[4mSpeciesData\u001b[0m\n",
+ " │ ├── \u001b[94mid\u001b[0m = speciesdata3\n",
+ " │ ├── \u001b[94mspecies\u001b[0m = Methane\n",
+ " │ ├── \u001b[94mchemical_formula\u001b[0m = CH4\n",
+ " │ ├── \u001b[94mcalibration\u001b[0m\n",
+ " │ │ └── \u001b[4mCalibration\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = calibration4\n",
+ " │ │ ├── \u001b[94mpeak_areas\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data12\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Peak area\n",
+ " │ │ │ └── \u001b[94mvalues\u001b[0m = [5727.0, 11991.0, ...]\n",
+ " │ │ ├── \u001b[94mconcentrations\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data13\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Concentration\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [5.0, 10.0, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ ├── \u001b[94mslope\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data27\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Slope\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [0.0007982120051085569, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ ├── \u001b[94mintercept\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data28\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Intercept\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [0.4286398467432946, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ └── \u001b[94mcoefficient_of_determination\u001b[0m\n",
+ " │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = data29\n",
+ " │ │ ├── \u001b[94mquantity\u001b[0m = Coefficient of determination\n",
+ " │ │ └── \u001b[94mvalues\u001b[0m = [1.0, ...]\n",
+ " │ ├── \u001b[94mcorrection_factor\u001b[0m = 0.76\n",
+ " │ ├── \u001b[94mfaraday_coefficient\u001b[0m = 8.0\n",
+ " │ └── \u001b[94mfaraday_efficiency\u001b[0m\n",
+ " │ └── \u001b[4mData\u001b[0m\n",
+ " │ └── \u001b[94mid\u001b[0m = data5\n",
+ " ├── 4\n",
+ " │ └── \u001b[4mSpeciesData\u001b[0m\n",
+ " │ ├── \u001b[94mid\u001b[0m = speciesdata4\n",
+ " │ ├── \u001b[94mspecies\u001b[0m = Ethene\n",
+ " │ ├── \u001b[94mchemical_formula\u001b[0m = C2H4\n",
+ " │ ├── \u001b[94mcalibration\u001b[0m\n",
+ " │ │ └── \u001b[4mCalibration\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = calibration5\n",
+ " │ │ ├── \u001b[94mpeak_areas\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data14\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Peak area\n",
+ " │ │ │ └── \u001b[94mvalues\u001b[0m = [1122.0, 4864.0, 7297.0, ...]\n",
+ " │ │ ├── \u001b[94mconcentrations\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data15\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Concentration\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [0.5, 2.0, 3.0, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ ├── \u001b[94mslope\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data30\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Slope\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [0.00040452052875149003, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ ├── \u001b[94mintercept\u001b[0m\n",
+ " │ │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ │ ├── \u001b[94mid\u001b[0m = data31\n",
+ " │ │ │ ├── \u001b[94mquantity\u001b[0m = Intercept\n",
+ " │ │ │ ├── \u001b[94mvalues\u001b[0m = [0.042251272197985745, ...]\n",
+ " │ │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ │ └── \u001b[94mcoefficient_of_determination\u001b[0m\n",
+ " │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = data32\n",
+ " │ │ ├── \u001b[94mquantity\u001b[0m = Coefficient of determination\n",
+ " │ │ └── \u001b[94mvalues\u001b[0m = [0.9999534565195388, ...]\n",
+ " │ ├── \u001b[94mfaraday_coefficient\u001b[0m = 12.0\n",
+ " │ └── \u001b[94mfaraday_efficiency\u001b[0m\n",
+ " │ └── \u001b[4mData\u001b[0m\n",
+ " │ └── \u001b[94mid\u001b[0m = data5\n",
+ " └── 5\n",
+ " └── \u001b[4mSpeciesData\u001b[0m\n",
+ " ├── \u001b[94mid\u001b[0m = speciesdata5\n",
+ " ├── \u001b[94mspecies\u001b[0m = Ethane\n",
+ " ├── \u001b[94mchemical_formula\u001b[0m = C2H6\n",
+ " ├── \u001b[94mcalibration\u001b[0m\n",
+ " │ └── \u001b[4mCalibration\u001b[0m\n",
+ " │ ├── \u001b[94mid\u001b[0m = calibration6\n",
+ " │ ├── \u001b[94mpeak_areas\u001b[0m\n",
+ " │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = data16\n",
+ " │ │ ├── \u001b[94mquantity\u001b[0m = Peak area\n",
+ " │ │ └── \u001b[94mvalues\u001b[0m = [0.0, 12168.0, ...]\n",
+ " │ ├── \u001b[94mconcentrations\u001b[0m\n",
+ " │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = data17\n",
+ " │ │ ├── \u001b[94mquantity\u001b[0m = Concentration\n",
+ " │ │ ├── \u001b[94mvalues\u001b[0m = [0.0, 5.0, ...]\n",
+ " │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ ├── \u001b[94mslope\u001b[0m\n",
+ " │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = data33\n",
+ " │ │ ├── \u001b[94mquantity\u001b[0m = Slope\n",
+ " │ │ ├── \u001b[94mvalues\u001b[0m = [0.0004109138724523339, ...]\n",
+ " │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ ├── \u001b[94mintercept\u001b[0m\n",
+ " │ │ └── \u001b[4mData\u001b[0m\n",
+ " │ │ ├── \u001b[94mid\u001b[0m = data34\n",
+ " │ │ ├── \u001b[94mquantity\u001b[0m = Intercept\n",
+ " │ │ ├── \u001b[94mvalues\u001b[0m = [4.440892098500626e-16, ...]\n",
+ " │ │ └── \u001b[94munit\u001b[0m = %\n",
+ " │ └── \u001b[94mcoefficient_of_determination\u001b[0m\n",
+ " │ └── \u001b[4mData\u001b[0m\n",
+ " │ ├── \u001b[94mid\u001b[0m = data35\n",
+ " │ ├── \u001b[94mquantity\u001b[0m = Coefficient of determination\n",
+ " │ └── \u001b[94mvalues\u001b[0m = [1.0, ...]\n",
+ " ├── \u001b[94mfaraday_coefficient\u001b[0m = 16.0\n",
+ " └── \u001b[94mfaraday_efficiency\u001b[0m\n",
+ " └── \u001b[4mData\u001b[0m\n",
+ " └── \u001b[94mid\u001b[0m = data5\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(experiment)"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Assign peak areas to species."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The peak areas recorded by the GC have to be matched with the correct species. The individial ``Area`` is selected by its corresponding ``Peak_Number``. It is possible that the same species is accountable for multiple peaks, i.d. multiple peaks are assigned to the same species.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Peak assignment"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Get list of alll three GC measurements."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "gc_measurements = experiment.get(\"measurements\", \"measurement_type\", \"GC measurement\")[0]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Create list for all the three dictionaries of the assigned peak areas. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "list_of_assigned_peak_areas = []"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "First GC Measurement."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "first_gc_measurement = gc_measurements[0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1:69.1715774536133\n",
+ "2:65492.74609375\n",
+ "3:164.157028198242\n",
+ "4:141.173934936524\n",
+ "5:1624.07373046875\n",
+ "6:2876.95263671875\n",
+ "7:43.7316970825196\n"
+ ]
+ }
+ ],
+ "source": [
+ "peak_area_assignment = PeakAreaAssignment.from_gc_measurement(gc_measurement=first_gc_measurement)\n",
+ "peak_areas_index_dict = peak_area_assignment.get_peak_areas_index_dict\n",
+ "for index, peak_area in peak_areas_index_dict.items():\n",
+ " print(f'{index}:{peak_area}')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "peak_assignment_dict={\n",
+ " 'Hydrogen': [1],\n",
+ " 'Carbon dioxide': [2],\n",
+ " 'Carbon monoxide': [6],\n",
+ " 'Methane': [3],\n",
+ " # 'C2H4': [5],\n",
+ " # 'C2H6': [4],\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Hydrogen:69.1715774536133\n",
+ "Carbon dioxide:65492.74609375\n",
+ "Carbon monoxide:2876.95263671875\n",
+ "Methane:164.157028198242\n"
+ ]
+ }
+ ],
+ "source": [
+ "assigned_peak_areas_dict = peak_area_assignment.assign(peak_assignment_dict=peak_assignment_dict)\n",
+ "list_of_assigned_peak_areas.append(assigned_peak_areas_dict)\n",
+ "for species, peak_area in assigned_peak_areas_dict.items():\n",
+ " print(f'{species}:{peak_area}')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Second GC Measurement."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "second_gc_measurement = gc_measurements[1]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1:104.630867004395\n",
+ "2:70813.515625\n",
+ "3:317.436950683594\n",
+ "4:160.268005371094\n",
+ "5:1518.81433105469\n",
+ "6:3685.70336914063\n",
+ "7:45.592227935791\n"
+ ]
+ }
+ ],
+ "source": [
+ "peak_area_assignment = PeakAreaAssignment.from_gc_measurement(gc_measurement=second_gc_measurement)\n",
+ "peak_areas_index_dict = peak_area_assignment.get_peak_areas_index_dict\n",
+ "for index, peak_area in peak_areas_index_dict.items():\n",
+ " print(f'{index}:{peak_area}')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "peak_assignment_dict={\n",
+ " 'Hydrogen': [1],\n",
+ " 'Carbon dioxide': [2],\n",
+ " 'Carbon monoxide': [6],\n",
+ " 'Methane': [3],\n",
+ " # 'C2H4': [5],\n",
+ " # 'C2H6': [4],\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Hydrogen:104.630867004395\n",
+ "Carbon dioxide:70813.515625\n",
+ "Carbon monoxide:3685.70336914063\n",
+ "Methane:317.436950683594\n"
+ ]
+ }
+ ],
+ "source": [
+ "assigned_peak_areas_dict = peak_area_assignment.assign(peak_assignment_dict=peak_assignment_dict)\n",
+ "list_of_assigned_peak_areas.append(assigned_peak_areas_dict)\n",
+ "for species, peak_area in assigned_peak_areas_dict.items():\n",
+ " print(f'{species}:{peak_area}')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Third GC Measurement."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "third_gc_measurement = gc_measurements[2]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1:97.2599182128906\n",
+ "2:71603.8515625\n",
+ "3:317.305053710938\n",
+ "4:159.882797241211\n",
+ "5:1266.77111816406\n",
+ "6:3433.341796875\n",
+ "7:39.0086631774903\n"
+ ]
+ }
+ ],
+ "source": [
+ "peak_area_assignment = PeakAreaAssignment.from_gc_measurement(gc_measurement=third_gc_measurement)\n",
+ "peak_areas_index_dict = peak_area_assignment.get_peak_areas_index_dict\n",
+ "for index, peak_area in peak_areas_index_dict.items():\n",
+ " print(f'{index}:{peak_area}')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "peak_assignment_dict={\n",
+ " 'Hydrogen': [1],\n",
+ " 'Carbon dioxide': [2],\n",
+ " 'Carbon monoxide': [6],\n",
+ " 'Methane': [3],\n",
+ " # 'C2H4': [5],\n",
+ " # 'C2H6': [4],\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Hydrogen:97.2599182128906\n",
+ "Carbon dioxide:71603.8515625\n",
+ "Carbon monoxide:3433.341796875\n",
+ "Methane:317.305053710938\n"
+ ]
+ }
+ ],
+ "source": [
+ "assigned_peak_areas_dict = peak_area_assignment.assign(peak_assignment_dict=peak_assignment_dict)\n",
+ "list_of_assigned_peak_areas.append(assigned_peak_areas_dict)\n",
+ "for species, peak_area in assigned_peak_areas_dict.items():\n",
+ " print(f'{species}:{peak_area}')"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Print current state of the experiment object."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# print(experiment.json())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Calculation"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Set up the ``FaradayEfficiencyCalculator``."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "calculator = FaradayEfficiencyCalculator(\n",
+ " experiment=experiment,\n",
+ " electrode_surface_area=1.0\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Set averaging radius."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "mean_radius = 10"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Calculate faraday efficiencies."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "2023-02-06 09:58:48\n",
+ "2023-02-06 09:58:48\n",
+ "2023-02-06 09:58:48\n"
+ ]
+ }
+ ],
+ "source": [
+ "faraday_efficiencies = []\n",
+ "for gc_measurement, assigned_peak_areas_dict in zip(gc_measurements, list_of_assigned_peak_areas):\n",
+ " faraday_efficiency = calculator.calculate_faraday_efficiency(\n",
+ " gc_measurement=gc_measurement,\n",
+ " mean_radius=mean_radius,\n",
+ " assigned_peak_areas_dict=assigned_peak_areas_dict\n",
+ " )\n",
+ " faraday_efficiencies.append(faraday_efficiency)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Faraday_efficiency | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " Carbon dioxide | \n",
+ " 252.970554 | \n",
+ "
\n",
+ " \n",
+ " Carbon monoxide | \n",
+ " 6.524397 | \n",
+ "
\n",
+ " \n",
+ " Ethane | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " Ethene | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " Hydrogen | \n",
+ " 17.5246 | \n",
+ "
\n",
+ " \n",
+ " Methane | \n",
+ " 7.229418 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Faraday_efficiency\n",
+ "Carbon dioxide 252.970554\n",
+ "Carbon monoxide 6.524397\n",
+ "Ethane NaN\n",
+ "Ethene NaN\n",
+ "Hydrogen 17.5246\n",
+ "Methane 7.229418"
+ ]
+ },
+ "execution_count": 36,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "mean_faraday_efficiency = pd.concat(faraday_efficiencies).groupby(level=0).mean()\n",
+ "mean_faraday_efficiency"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# volumetric_flow_mean_list = []\n",
+ "# for gc_measurement in gc_measurements:\n",
+ "# volumetric_flow_mean=calculator.get_volumetric_flow_mean(gc_measurement=gc_measurement)\n",
+ "# volumetric_flow_mean_list.append(volumetric_flow_mean)\n",
+ "# for assigned_peak_areas_dict in list_of_assigned_peak_areas:\n",
+ "# volumetric_flow_mean = calculator.calculate(assigned_peak_areas_dict=assigned_peak_areas_dict, correction_factors_dict=correction_factors_dict)\n",
+ "# volumetric_flow_mean_list.append(volumetric_flow_mean)\n",
+ "# print(volumetric_flow_mean)\n",
+ "# initial_time = calculator.get_initial_time()\n",
+ "# initial_current = calculator.get_initial_current()\n",
+ "\n",
+ " # calculator.calculate_faraday_efficiency(gc_measurement)"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Calculate the ``conversion`` ``factor`` using the correction factors."
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Get ``volumetric`` ``flow`` ``mean`` in ml/min at the time of the GC measurement."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The mass flow at the time of the GC measurement is determined by matching the time of the gc measurement with the corresponding times of the mass flow measurements. Errors in the mass flows due to strong fluctuations are minimized by calculating the mean by averaging over a certain number (=``radius``) of measuring points before and after the time of the GC measurement. The radius has to be specified in accordance with the strength of fluctuations."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Calculate volumetric flow fractions in %."
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Calculate material flow in mmol/min."
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Get initial current in mA and initial time in s."
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Calculate theoretical material flow in mmol/min."
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Calculate Faraday efficiency and load into dataset."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "## DaRUS upload\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dataset.experiments.append(experiment)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open(json_files[index_dataset], \"w\") as f:\n",
+ " f.write(dataset.json())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "71c2914ab9bd4db59ae3ede38f362c7f",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Button(description='Append experiment', layout=Layout(height='80px', width='30%'), style=ButtonStyle(button_co…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "de1aaf1d9db94ac0b17240ecf16a981e",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Output()"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "button = widgets.Button(description=\"Append experiment\", layout=widgets.Layout(width='30%', height='80px'))\n",
+ "button.style.button_color = 'darkcyan'\n",
+ "button.style.text_color = 'lightgrey'\n",
+ "button.style.font_size = '30px'\n",
+ "\n",
+ "\n",
+ "output = widgets.Output()\n",
+ "\n",
+ "display(button, output)\n",
+ "\n",
+ "def click_on_button(b):\n",
+ " with output:\n",
+ " print(\"Experiment successfully appended.\")\n",
+ "\n",
+ "button.on_click(click_on_button)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# %%html\n",
+ "# "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "%%html\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# print(f'type of \"volumetric_fractions\": {type(volumetric_fractions)}')\n",
+ "# print(f'type of \"conversion_factor\": {type(conversion_factor)}')\n",
+ "# print(f'type of \"real_volumetric_flow\": {type(real_volumetric_flow)}')\n",
+ "# print(f'type of \"volumetric_flow_fractions\": {type(volumetric_flow_fractions)}')\n",
+ "# print(f'type of \"real_volumetric_flow\": {type(real_volumetric_flow)}')\n",
+ "# print(f'type of \"theoretical_material_flow\": {type(theoretical_material_flow)}')\n",
+ "# print(f'type of \"material_flow\": {type(material_flow)}')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# volumetric_fractions = calculator.volumetric_fractions\n",
+ "# volumetric_fractions\n",
+ "# conversion_factor = calculator.conversion_factor\n",
+ "# conversion_factor\n",
+ "# real_volumetric_flow = calculator.real_volumetric_flow\n",
+ "# real_volumetric_flow\n",
+ "# volumetric_flow_fractions = calculator.volumetric_flow_fractions\n",
+ "# volumetric_flow_fractions\n",
+ "# material_flow = calculator.material_flow\n",
+ "# material_flow\n",
+ "# theoretical_material_flow = calculator.theoretical_material_flow\n",
+ "# theoretical_material_flow"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "b07",
+ "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": "3.10.4"
+ },
+ "orig_nbformat": 4,
+ "vscode": {
+ "interpreter": {
+ "hash": "9f62ab2d43dc75e3c3b007469adeb0f7488873df876b9b71dd3b119f0280ba41"
+ }
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/3.1_DaRUS_upload.ipynb b/3.1_DaRUS_upload.ipynb
new file mode 100644
index 0000000..a610084
--- /dev/null
+++ b/3.1_DaRUS_upload.ipynb
@@ -0,0 +1,19 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "language_info": {
+ "name": "python"
+ },
+ "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/data/calibration/calibration.json b/data/calibration/calibration.json
new file mode 100644
index 0000000..7565e1c
--- /dev/null
+++ b/data/calibration/calibration.json
@@ -0,0 +1,74 @@
+{
+ "Hydrogen": {
+ "chemical_formula": "H2",
+ "peak_areas": [
+ 71,
+ 153,
+ 330
+ ],
+ "concentrations": [
+ 5,
+ 10,
+ 20
+ ]
+ },
+ "Carbon monoxide": {
+ "chemical_formula": "CO",
+ "peak_areas": [
+ 797,
+ 1328,
+ 7223
+ ],
+ "concentrations": [
+ 0.5,
+ 1,
+ 5
+ ]
+ },
+ "Carbon dioxide": {
+ "chemical_formula": "CO2",
+ "peak_areas": [
+ 0,
+ 38653
+ ],
+ "concentrations": [
+ 0,
+ 50
+ ]
+ },
+ "Methane": {
+ "chemical_formula": "CH4",
+ "peak_areas": [
+ 5727,
+ 11991
+ ],
+ "concentrations": [
+ 5,
+ 10
+ ]
+ },
+ "Ethene": {
+ "chemical_formula": "C2H4",
+ "peak_areas": [
+ 1122,
+ 4864,
+ 7297
+ ],
+ "concentrations": [
+ 0.5,
+ 2,
+ 3
+ ]
+ },
+ "Ethane": {
+ "chemical_formula": "C2H6",
+ "peak_areas": [
+ 0,
+ 12168
+ ],
+ "concentrations": [
+ 0,
+ 5
+ ]
+ }
+}
\ No newline at end of file
diff --git a/data/correction_factors/correction_factors.json b/data/correction_factors/correction_factors.json
new file mode 100644
index 0000000..b899ccf
--- /dev/null
+++ b/data/correction_factors/correction_factors.json
@@ -0,0 +1,6 @@
+{
+ "Hydrogen": 1.01,
+ "Carbon monoxide": 0.74,
+ "Carbon dioxide": 1.00,
+ "Methane": 0.76
+}
\ No newline at end of file
diff --git a/data/faraday_coefficients/faraday_coefficients.json b/data/faraday_coefficients/faraday_coefficients.json
new file mode 100644
index 0000000..d92c081
--- /dev/null
+++ b/data/faraday_coefficients/faraday_coefficients.json
@@ -0,0 +1,8 @@
+{
+ "Hydrogen": 2,
+ "Carbon monoxide": 2,
+ "Carbon dioxide": 2,
+ "Methane": 8,
+ "Ethene": 12,
+ "Ethane": 16
+}
\ No newline at end of file
diff --git a/datamodel_b07_tc/__init__.py b/datamodel_b07_tc/__init__.py
index 6ae5b39..108f239 100644
--- a/datamodel_b07_tc/__init__.py
+++ b/datamodel_b07_tc/__init__.py
@@ -1,3 +1,3 @@
__URL__ = "https://github.com/FAIRChemistry/datamodel_b07_tc.git"
-__COMMIT__ = "e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+__COMMIT__ = "8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
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diff --git a/datamodel_b07_tc/core/__pycache__/thermocouple.cpython-310.pyc b/datamodel_b07_tc/core/__pycache__/thermocouple.cpython-310.pyc
deleted file mode 100644
index 75e4a52..0000000
Binary files a/datamodel_b07_tc/core/__pycache__/thermocouple.cpython-310.pyc and /dev/null differ
diff --git a/datamodel_b07_tc/core/__pycache__/thermocoupletype.cpython-310.pyc b/datamodel_b07_tc/core/__pycache__/thermocoupletype.cpython-310.pyc
deleted file mode 100644
index a751667..0000000
Binary files a/datamodel_b07_tc/core/__pycache__/thermocoupletype.cpython-310.pyc and /dev/null differ
diff --git a/datamodel_b07_tc/core/__pycache__/tubing.cpython-310.pyc b/datamodel_b07_tc/core/__pycache__/tubing.cpython-310.pyc
deleted file mode 100644
index 23c5a5c..0000000
Binary files a/datamodel_b07_tc/core/__pycache__/tubing.cpython-310.pyc and /dev/null differ
diff --git a/datamodel_b07_tc/core/__pycache__/unit.cpython-310.pyc b/datamodel_b07_tc/core/__pycache__/unit.cpython-310.pyc
deleted file mode 100644
index a36d485..0000000
Binary files a/datamodel_b07_tc/core/__pycache__/unit.cpython-310.pyc and /dev/null differ
diff --git a/datamodel_b07_tc/core/analysis.py b/datamodel_b07_tc/core/analysis.py
index 08ee407..bdfcf6f 100644
--- a/datamodel_b07_tc/core/analysis.py
+++ b/datamodel_b07_tc/core/analysis.py
@@ -110,4 +110,4 @@ def add_to_faraday_coefficients(
self.faraday_coefficients.append(Data(**params))
- return self.faraday_coefficients[-1]
+ return self.faraday_coefficients[-1]
\ No newline at end of file
diff --git a/datamodel_b07_tc/core/author.py b/datamodel_b07_tc/core/author.py
index 712efb9..bfd5d13 100644
--- a/datamodel_b07_tc/core/author.py
+++ b/datamodel_b07_tc/core/author.py
@@ -29,5 +29,5 @@ class Author(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/calibration.py b/datamodel_b07_tc/core/calibration.py
index 59dcb00..87e31a4 100644
--- a/datamodel_b07_tc/core/calibration.py
+++ b/datamodel_b07_tc/core/calibration.py
@@ -47,5 +47,5 @@ class Calibration(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/chemical.py b/datamodel_b07_tc/core/chemical.py
index c599ff3..cb8b517 100644
--- a/datamodel_b07_tc/core/chemical.py
+++ b/datamodel_b07_tc/core/chemical.py
@@ -65,5 +65,5 @@ class Chemical(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/data.py b/datamodel_b07_tc/core/data.py
index 6c127f9..c823322 100644
--- a/datamodel_b07_tc/core/data.py
+++ b/datamodel_b07_tc/core/data.py
@@ -5,8 +5,8 @@
from sdRDM.base.listplus import ListPlus
from sdRDM.base.utils import forge_signature, IDGenerator
-from astropy.units import UnitBase
from datetime import datetime as Datetime
+from astropy.units import UnitBase
from .quantity import Quantity
@@ -41,5 +41,5 @@ class Data(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/dataset.py b/datamodel_b07_tc/core/dataset.py
index c5e08ed..45cd774 100644
--- a/datamodel_b07_tc/core/dataset.py
+++ b/datamodel_b07_tc/core/dataset.py
@@ -6,11 +6,11 @@
from sdRDM.base.utils import forge_signature, IDGenerator
-from .speciesdata import SpeciesData
+from .experiment import Experiment
from .generalinformation import GeneralInformation
from .measurement import Measurement
-from .experiment import Experiment
from .plantsetup import PlantSetup
+from .speciesdata import SpeciesData
@forge_signature
@@ -38,14 +38,14 @@ class Dataset(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
def add_to_experiments(
self,
plant_setup: Optional[PlantSetup] = None,
measurements: List[Measurement] = ListPlus(),
- species_data: Optional[SpeciesData] = None,
+ species_data: List[SpeciesData] = ListPlus(),
id: Optional[str] = None,
) -> None:
"""
@@ -55,7 +55,7 @@ def add_to_experiments(
id (str): Unique identifier of the 'Experiment' object. Defaults to 'None'.
plant_setup (): the individual plant setup that is used in this one experiment.. Defaults to None
measurements (): different measurements that are made within the scope of one experiment.. Defaults to ListPlus()
- species_data (): all provided and calculated data about a specific species.. Defaults to None
+ species_data (): all provided and calculated data about a specific species.. Defaults to ListPlus()
"""
params = {
diff --git a/datamodel_b07_tc/core/device.py b/datamodel_b07_tc/core/device.py
index f844ee2..bc28cf6 100644
--- a/datamodel_b07_tc/core/device.py
+++ b/datamodel_b07_tc/core/device.py
@@ -39,5 +39,5 @@ class Device(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/experiment.py b/datamodel_b07_tc/core/experiment.py
index 256c673..229802c 100644
--- a/datamodel_b07_tc/core/experiment.py
+++ b/datamodel_b07_tc/core/experiment.py
@@ -6,12 +6,15 @@
from sdRDM.base.utils import forge_signature, IDGenerator
-from .speciesdata import SpeciesData
-from .metadata import Metadata
+from .calibration import Calibration
+from .chemicalformula import ChemicalFormula
from .measurement import Measurement
-from .measurementtype import MeasurementType
+from .metadata import Metadata
from .data import Data
from .plantsetup import PlantSetup
+from .measurementtype import MeasurementType
+from .speciesdata import SpeciesData
+from .species import Species
@forge_signature
@@ -37,8 +40,9 @@ class Experiment(sdRDM.DataModel):
),
)
- species_data: Optional[SpeciesData] = Field(
- default=SpeciesData(),
+ species_data: List[SpeciesData] = Field(
+ default_factory=ListPlus,
+ multiple=True,
description="all provided and calculated data about a specific species.",
)
@@ -46,7 +50,7 @@ class Experiment(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
def add_to_measurements(
@@ -78,3 +82,42 @@ def add_to_measurements(
self.measurements.append(Measurement(**params))
return self.measurements[-1]
+
+ def add_to_species_data(
+ self,
+ species: Optional[Species] = None,
+ chemical_formula: Optional[ChemicalFormula] = None,
+ calibration: Optional[Calibration] = None,
+ correction_factor: Optional[float] = None,
+ faraday_coefficient: Optional[float] = None,
+ faraday_efficiency: Optional[Data] = None,
+ id: Optional[str] = None,
+ ) -> None:
+ """
+ This method adds an object of type 'SpeciesData' to attribute species_data
+
+ Args:
+ id (str): Unique identifier of the 'SpeciesData' object. Defaults to 'None'.
+ species (): name of the species.. Defaults to None
+ chemical_formula (): chemical formula of the species.. Defaults to None
+ calibration (): calibration measurement.. Defaults to None
+ correction_factor (): correction factors of the individual species.. Defaults to None
+ faraday_coefficient (): Faraday coefficients of the individual species.. Defaults to None
+ faraday_efficiency (): Faraday efficiencies of the individual species.. Defaults to None
+ """
+
+ params = {
+ "species": species,
+ "chemical_formula": chemical_formula,
+ "calibration": calibration,
+ "correction_factor": correction_factor,
+ "faraday_coefficient": faraday_coefficient,
+ "faraday_efficiency": faraday_efficiency,
+ }
+
+ if id is not None:
+ params["id"] = id
+
+ self.species_data.append(SpeciesData(**params))
+
+ return self.species_data[-1]
diff --git a/datamodel_b07_tc/core/generalinformation.py b/datamodel_b07_tc/core/generalinformation.py
index 5503af0..bb806e9 100644
--- a/datamodel_b07_tc/core/generalinformation.py
+++ b/datamodel_b07_tc/core/generalinformation.py
@@ -39,7 +39,7 @@ class GeneralInformation(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
def add_to_authors(
diff --git a/datamodel_b07_tc/core/input.py b/datamodel_b07_tc/core/input.py
index 317b66c..66f2d3a 100644
--- a/datamodel_b07_tc/core/input.py
+++ b/datamodel_b07_tc/core/input.py
@@ -6,9 +6,9 @@
from sdRDM.base.utils import forge_signature, IDGenerator
-from .stoichiometry import Stoichiometry
from .chemical import Chemical
from .reactantrole import ReactantRole
+from .stoichiometry import Stoichiometry
@forge_signature
@@ -31,7 +31,7 @@ class Input(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
def add_to_component(
diff --git a/datamodel_b07_tc/core/insulation.py b/datamodel_b07_tc/core/insulation.py
index 2e25bd9..1907109 100644
--- a/datamodel_b07_tc/core/insulation.py
+++ b/datamodel_b07_tc/core/insulation.py
@@ -32,5 +32,5 @@ class Insulation(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/massflowmeter.py b/datamodel_b07_tc/core/massflowmeter.py
index 4e74fdf..dd63b2f 100644
--- a/datamodel_b07_tc/core/massflowmeter.py
+++ b/datamodel_b07_tc/core/massflowmeter.py
@@ -4,8 +4,8 @@
from sdRDM.base.utils import forge_signature, IDGenerator
-from .device import Device
from .parameter import Parameter
+from .device import Device
@forge_signature
@@ -32,5 +32,5 @@ class MassFlowMeter(Device):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/measurement.py b/datamodel_b07_tc/core/measurement.py
index 961681e..075aa75 100644
--- a/datamodel_b07_tc/core/measurement.py
+++ b/datamodel_b07_tc/core/measurement.py
@@ -5,14 +5,14 @@
from sdRDM.base.listplus import ListPlus
from sdRDM.base.utils import forge_signature, IDGenerator
-from astropy.units import UnitBase
from datetime import datetime as Datetime
+from astropy.units import UnitBase
from .quantity import Quantity
+from .measurementtype import MeasurementType
from .metadata import Metadata
-from .data import Data
from .datatype import DataType
-from .measurementtype import MeasurementType
+from .data import Data
@forge_signature
@@ -46,7 +46,7 @@ class Measurement(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
def add_to_metadata(
diff --git a/datamodel_b07_tc/core/metadata.py b/datamodel_b07_tc/core/metadata.py
index 7c3a63c..339eed8 100644
--- a/datamodel_b07_tc/core/metadata.py
+++ b/datamodel_b07_tc/core/metadata.py
@@ -4,8 +4,8 @@
from pydantic import Field, PrivateAttr
from sdRDM.base.utils import forge_signature, IDGenerator
-from astropy.units import UnitBase
from datetime import datetime as Datetime
+from astropy.units import UnitBase
from .datatype import DataType
@@ -59,5 +59,5 @@ class Metadata(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/output.py b/datamodel_b07_tc/core/output.py
index 0c37cd4..b96cd92 100644
--- a/datamodel_b07_tc/core/output.py
+++ b/datamodel_b07_tc/core/output.py
@@ -6,9 +6,9 @@
from sdRDM.base.utils import forge_signature, IDGenerator
-from .stoichiometry import Stoichiometry
from .chemical import Chemical
from .reactantrole import ReactantRole
+from .stoichiometry import Stoichiometry
@forge_signature
@@ -31,7 +31,7 @@ class Output(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
def add_to_component(
diff --git a/datamodel_b07_tc/core/parameter.py b/datamodel_b07_tc/core/parameter.py
index 8d60609..ebc0ccf 100644
--- a/datamodel_b07_tc/core/parameter.py
+++ b/datamodel_b07_tc/core/parameter.py
@@ -31,5 +31,5 @@ class Parameter(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/plantsetup.py b/datamodel_b07_tc/core/plantsetup.py
index ac3e387..ab2fab1 100644
--- a/datamodel_b07_tc/core/plantsetup.py
+++ b/datamodel_b07_tc/core/plantsetup.py
@@ -6,13 +6,13 @@
from sdRDM.base.utils import forge_signature, IDGenerator
-from .tubing import Tubing
+from .output import Output
from .input import Input
+from .material import Material
from .insulation import Insulation
-from .output import Output
-from .device import Device
+from .tubing import Tubing
from .chemical import Chemical
-from .material import Material
+from .device import Device
@forge_signature
@@ -53,7 +53,7 @@ class PlantSetup(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
def add_to_devices(
diff --git a/datamodel_b07_tc/core/potentiostat.py b/datamodel_b07_tc/core/potentiostat.py
index 43bf9d8..bce9b4b 100644
--- a/datamodel_b07_tc/core/potentiostat.py
+++ b/datamodel_b07_tc/core/potentiostat.py
@@ -4,8 +4,8 @@
from sdRDM.base.utils import forge_signature, IDGenerator
-from .metadata import Metadata
from .measurement import Measurement
+from .metadata import Metadata
from .device import Device
@@ -33,5 +33,5 @@ class Potentiostat(Device):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/pump.py b/datamodel_b07_tc/core/pump.py
index 048a0d3..7191c58 100644
--- a/datamodel_b07_tc/core/pump.py
+++ b/datamodel_b07_tc/core/pump.py
@@ -27,5 +27,5 @@ class Pump(Device):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/speciesdata.py b/datamodel_b07_tc/core/speciesdata.py
index 73f65a1..3bfa8de 100644
--- a/datamodel_b07_tc/core/speciesdata.py
+++ b/datamodel_b07_tc/core/speciesdata.py
@@ -5,10 +5,10 @@
from sdRDM.base.utils import forge_signature, IDGenerator
-from .calibration import Calibration
-from .chemicalformula import ChemicalFormula
from .data import Data
from .species import Species
+from .calibration import Calibration
+from .chemicalformula import ChemicalFormula
@forge_signature
@@ -36,13 +36,13 @@ class SpeciesData(sdRDM.DataModel):
description="calibration measurement.",
)
- correction_factor: Optional[Data] = Field(
- default=Data(),
+ correction_factor: Optional[float] = Field(
+ default=None,
description="correction factors of the individual species.",
)
- faraday_coefficient: Optional[Data] = Field(
- default=Data(),
+ faraday_coefficient: Optional[float] = Field(
+ default=None,
description="Faraday coefficients of the individual species.",
)
@@ -55,5 +55,5 @@ class SpeciesData(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/stoichiometry.py b/datamodel_b07_tc/core/stoichiometry.py
index 04ccaec..e11f483 100644
--- a/datamodel_b07_tc/core/stoichiometry.py
+++ b/datamodel_b07_tc/core/stoichiometry.py
@@ -59,5 +59,5 @@ class Stoichiometry(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/thermocouple.py b/datamodel_b07_tc/core/thermocouple.py
index 7a07404..74e9cd8 100644
--- a/datamodel_b07_tc/core/thermocouple.py
+++ b/datamodel_b07_tc/core/thermocouple.py
@@ -27,5 +27,5 @@ class Thermocouple(Device):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/core/tubing.py b/datamodel_b07_tc/core/tubing.py
index 5b1caf6..55dd4f8 100644
--- a/datamodel_b07_tc/core/tubing.py
+++ b/datamodel_b07_tc/core/tubing.py
@@ -48,5 +48,5 @@ class Tubing(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="e5e1710ac1f9b36c9f229d0f0d69a96a081365ba"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
diff --git a/datamodel_b07_tc/modified/calibration.py b/datamodel_b07_tc/modified/calibration.py
index a8dc31e..8256c6f 100644
--- a/datamodel_b07_tc/modified/calibration.py
+++ b/datamodel_b07_tc/modified/calibration.py
@@ -1,12 +1,14 @@
import sdRDM
+import numpy as np
+from sklearn import linear_model
from typing import Optional
from pydantic import Field, PrivateAttr
from sdRDM.base.utils import forge_signature, IDGenerator
from .data import Data
-from .species import Species
+from .quantity import Quantity
@forge_signature
@@ -19,11 +21,6 @@ class Calibration(sdRDM.DataModel):
xml="@id",
)
- species: Optional[Species] = Field(
- default=None,
- description="Species for which the calibration was performed.",
- )
-
peak_areas: Optional[Data] = Field(
default=Data(),
description="Recorded peak areas of the individual calibration solutions.",
@@ -53,5 +50,33 @@ class Calibration(sdRDM.DataModel):
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="a4c50b26815a02cca2986380d5aeb8c023e877eb"
+ default="84c47e3b42d9bd24447f9f5668612ba7a70e39c3"
)
+
+ def calibrate(self):
+
+ peak_areas = np.array(self.peak_areas.values).reshape(-1, 1)
+ concentration = np.array(self.concentrations.values)
+ function = linear_model.LinearRegression(fit_intercept=True)
+ function.fit(peak_areas, concentration)
+ slope, intercept = function.coef_[0], function.intercept_
+ coefficient_of_determination = function.score(
+ peak_areas,
+ concentration
+ )
+ self.slope = Data(
+ quantity=Quantity.SLOPE.value, values=[slope], unit='%'
+ )
+ self.intercept = Data(
+ quantity=Quantity.INTERCEPT.value,
+ values=[intercept],
+ unit='%',
+ )
+ self.coefficient_of_determination = Data(
+ quantity=Quantity.COEFFDET.value,
+ values=[coefficient_of_determination],
+ unit=None,
+ )
+ # @property
+ # def calibration_parameters():
+ # return
diff --git a/datamodel_b07_tc/modified/chemicalformula.py b/datamodel_b07_tc/modified/chemicalformula.py
new file mode 100644
index 0000000..55d6c72
--- /dev/null
+++ b/datamodel_b07_tc/modified/chemicalformula.py
@@ -0,0 +1,10 @@
+from enum import Enum
+
+
+class ChemicalFormula(Enum):
+ H2 = "H2"
+ CO2 = "CO2"
+ CO = "CO"
+ CH4 = "CH4"
+ C2H4 = "C2H4"
+ C2H6 = "C2H6"
diff --git a/datamodel_b07_tc/modified/experiment.py b/datamodel_b07_tc/modified/experiment.py
index eb5009f..8a163ba 100644
--- a/datamodel_b07_tc/modified/experiment.py
+++ b/datamodel_b07_tc/modified/experiment.py
@@ -1,18 +1,22 @@
import sdRDM
+import json
-from datetime import datetime
+from pathlib import Path
from typing import List, Optional
from pydantic import Field, PrivateAttr
from sdRDM.base.listplus import ListPlus
from sdRDM.base.utils import forge_signature, IDGenerator
-from .data import Data
-from .analysis import Analysis
+from .calibration import Calibration
+from .chemicalformula import ChemicalFormula
from .measurement import Measurement
-from .measurementtype import MeasurementType
from .metadata import Metadata
+from .data import Data
from .plantsetup import PlantSetup
+from .measurementtype import MeasurementType
+from .speciesdata import SpeciesData
+from .species import Species
@forge_signature
@@ -38,18 +42,17 @@ class Experiment(sdRDM.DataModel):
),
)
- analysis: Optional[Analysis] = Field(
- default=Analysis(),
- description=(
- "all the calculations that are done within the scope of one experiment."
- ),
+ species_data: List[SpeciesData] = Field(
+ default_factory=ListPlus,
+ multiple=True,
+ description="all provided and calculated data about a specific species.",
)
__repo__: Optional[str] = PrivateAttr(
default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
)
__commit__: Optional[str] = PrivateAttr(
- default="a4c50b26815a02cca2986380d5aeb8c023e877eb"
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
)
def add_to_measurements(
@@ -81,8 +84,46 @@ def add_to_measurements(
self.measurements.append(Measurement(**params))
return self.measurements[-1]
-
+ def add_to_species_data(
+ self,
+ species: Optional[Species] = None,
+ chemical_formula: Optional[ChemicalFormula] = None,
+ calibration: Optional[Calibration] = None,
+ correction_factor: Optional[float] = None,
+ faraday_coefficient: Optional[float] = None,
+ faraday_efficiency: Optional[Data] = None,
+ id: Optional[str] = None,
+ ) -> None:
+ """
+ This method adds an object of type 'SpeciesData' to attribute species_data
+
+ Args:
+ id (str): Unique identifier of the 'SpeciesData' object. Defaults to 'None'.
+ species (): name of the species.. Defaults to None
+ chemical_formula (): chemical formula of the species.. Defaults to None
+ calibration (): calibration measurement.. Defaults to None
+ correction_factor (): correction factors of the individual species.. Defaults to None
+ faraday_coefficient (): Faraday coefficients of the individual species.. Defaults to None
+ faraday_efficiency (): Faraday efficiencies of the individual species.. Defaults to None
+ """
+
+ params = {
+ "species": species,
+ "chemical_formula": chemical_formula,
+ "calibration": calibration,
+ "correction_factor": correction_factor,
+ "faraday_coefficient": faraday_coefficient,
+ "faraday_efficiency": faraday_efficiency,
+ }
+
+ if id is not None:
+ params["id"] = id
+
+ self.species_data.append(SpeciesData(**params))
+
+ return self.species_data[-1]
+
# def get_injection_date(self) -> datetime:
# injection_date_string = self.gc_measurements.get(
@@ -97,7 +138,7 @@ def add_to_measurements(
def volumetric_flow_time_course(self) ->list:
mfm_measurement = (
- self.get("measurements", "measurement_type", "MFM Measurement")
+ self.get("measurements", "measurement_type", "MFM measurement")
[0][0]
)
volumetric_flow_datetime_list = mfm_measurement.get("experimental_data", "quantity", "Date time")[0][0].values
@@ -119,3 +160,23 @@ def initial_current(self) -> float:
self.get("measurements/metadata", "parameter", "IINIT")[0][0].value
)
return initial_current
+
+
+ def read_correction_factors(self, path: Path):
+
+ with open(path, 'r') as f:
+ correction_factors_dict = json.load(f)
+ for species, correction_factor in correction_factors_dict.items():
+ for species_data_object in self.species_data:
+ if species_data_object.species == species:
+ species_data_object.correction_factor = correction_factor
+
+
+ def read_faraday_coefficients(self, path: Path):
+
+ with open(path, 'r') as f:
+ faraday_coefficients_dict = json.load(f)
+ for species, faraday_coefficient in faraday_coefficients_dict.items():
+ for species_data_object in self.species_data:
+ if species_data_object.species == species:
+ species_data_object.faraday_coefficient = faraday_coefficient
\ No newline at end of file
diff --git a/datamodel_b07_tc/modified/measurement.py b/datamodel_b07_tc/modified/measurement.py
index cb87887..50778b0 100644
--- a/datamodel_b07_tc/modified/measurement.py
+++ b/datamodel_b07_tc/modified/measurement.py
@@ -123,7 +123,7 @@ def add_to_experimental_data(
@property
def injection_date(self):
- if self.measurement_type == 'GC Measurement':
+ if self.measurement_type == 'GC measurement':
return self.get('metadata', 'parameter', 'Injection Date' )[0][0].value
else:
raise ValueError('Lak, du Hund! Das ist keine GC Messung')
diff --git a/datamodel_b07_tc/modified/measurementtype.py b/datamodel_b07_tc/modified/measurementtype.py
index ffa000a..f50103d 100644
--- a/datamodel_b07_tc/modified/measurementtype.py
+++ b/datamodel_b07_tc/modified/measurementtype.py
@@ -2,6 +2,6 @@
class MeasurementType(Enum):
- POTENTIOSTATIC = "Potentiostatic Measurement"
- GC = "GC Measurement"
- MFM = "MFM Measurement"
+ POTENTIOSTATIC = "Potentiostatic measurement"
+ GC = "GC measurement"
+ MFM = "MFM measurement"
diff --git a/datamodel_b07_tc/modified/species.py b/datamodel_b07_tc/modified/species.py
index ace4c73..e53786a 100644
--- a/datamodel_b07_tc/modified/species.py
+++ b/datamodel_b07_tc/modified/species.py
@@ -2,9 +2,9 @@
class Species(Enum):
- HYDROGEN = "H2"
- CARBONDIOXIDE = "CO2"
- CARBONMONOXIDE = "CO"
- METHANE = "CH4"
- ETHENE = "C2H6"
- ETHANE = "C2H4"
+ HYDROGEN = "Hydrogen"
+ CARBONDIOXIDE = "Carbon dioxide"
+ CARBONMONOXIDE = "Carbon monoxide"
+ METHANE = "Methane"
+ ETHENE = "Ethene"
+ ETHANE = "Ethane"
diff --git a/datamodel_b07_tc/modified/speciesdata.py b/datamodel_b07_tc/modified/speciesdata.py
new file mode 100644
index 0000000..b67f2bd
--- /dev/null
+++ b/datamodel_b07_tc/modified/speciesdata.py
@@ -0,0 +1,86 @@
+import sdRDM
+import numpy as np
+
+from sklearn import linear_model
+from typing import Optional
+from pydantic import Field, PrivateAttr
+from sdRDM.base.utils import forge_signature, IDGenerator
+
+from .quantity import Quantity
+from .data import Data
+from .species import Species
+from .calibration import Calibration
+from .chemicalformula import ChemicalFormula
+
+
+@forge_signature
+class SpeciesData(sdRDM.DataModel):
+ """"""
+
+ id: Optional[str] = Field(
+ description="Unique identifier of the given object.",
+ default_factory=IDGenerator("speciesdataINDEX"),
+ xml="@id",
+ )
+
+ species: Optional[Species] = Field(
+ default=None,
+ description="name of the species.",
+ )
+
+ chemical_formula: Optional[ChemicalFormula] = Field(
+ default=None,
+ description="chemical formula of the species.",
+ )
+
+ calibration: Optional[Calibration] = Field(
+ default=Calibration(),
+ description="calibration measurement.",
+ )
+
+ correction_factor: Optional[float] = Field(
+ default=None,
+ description="correction factors of the individual species.",
+ )
+
+ faraday_coefficient: Optional[float] = Field(
+ default=None,
+ description="Faraday coefficients of the individual species.",
+ )
+
+ faraday_efficiency: Optional[Data] = Field(
+ default=Data(),
+ description="Faraday efficiencies of the individual species.",
+ )
+
+ __repo__: Optional[str] = PrivateAttr(
+ default="https://github.com/FAIRChemistry/datamodel_b07_tc.git"
+ )
+ __commit__: Optional[str] = PrivateAttr(
+ default="8779bd04afaf3dcb5dc3c90e093cafb9beb5e306"
+ )
+
+ def calibrate(self):
+
+ peak_areas = np.array(self.calibration.peak_areas.values).reshape(-1, 1)
+ concentration = np.array(self.calibration.concentrations.values)
+ function = linear_model.LinearRegression(fit_intercept=True)
+ function.fit(peak_areas, concentration)
+ slope, intercept = function.coef_[0], function.intercept_
+ coefficient_of_determination = function.score(
+ peak_areas,
+ concentration
+ )
+ self.calibration.slope = Data(
+ quantity=Quantity.SLOPE.value, values=[slope], unit='%'
+ )
+ self.calibration.intercept = Data(
+ quantity=Quantity.INTERCEPT.value,
+ values=[intercept],
+ unit='%',
+ )
+ self.calibration.coefficient_of_determination = Data(
+ quantity=Quantity.COEFFDET.value,
+ values=[coefficient_of_determination],
+ unit=None,
+ )
\ No newline at end of file
diff --git a/datamodel_b07_tc/schemes/datamodel_b07_tc_schema.md b/datamodel_b07_tc/schemes/datamodel_b07_tc_schema.md
deleted file mode 100644
index 0d138f0..0000000
--- a/datamodel_b07_tc/schemes/datamodel_b07_tc_schema.md
+++ /dev/null
@@ -1,286 +0,0 @@
-```mermaid
-classDiagram
- Device <-- Pump
- Device <-- Thermocouple
- Device <-- MassFlowMeter
- Device <-- Potentiostat
- Dataset *-- GeneralInformation
- Dataset *-- Experiment
- GeneralInformation *-- Author
- Experiment *-- PlantSetup
- Experiment *-- Measurement
- Experiment *-- SpeciesData
- PlantSetup *-- Device
- PlantSetup *-- Tubing
- PlantSetup *-- Input
- PlantSetup *-- Output
- Pump *-- PumpType
- Thermocouple *-- ThermocoupleType
- MassFlowMeter *-- Parameter
- Potentiostat *-- Metadata
- Potentiostat *-- Measurement
- Tubing *-- Material
- Tubing *-- Insulation
- Insulation *-- Material
- Input *-- Chemical
- Output *-- Chemical
- Chemical *-- ReactantRole
- Chemical *-- Stoichiometry
- Data *-- Quantity
- Metadata *-- DataType
- Measurement *-- MeasurementType
- Measurement *-- Data
- Measurement *-- Metadata
- SpeciesData *-- Species
- SpeciesData *-- ChemicalFormula
- SpeciesData *-- Data
- SpeciesData *-- Calibration
- Calibration *-- Data
-
- class Dataset {
- +GeneralInformation general_information
- +Experiment[0..*] experiments
- }
-
- class GeneralInformation {
- +string title
- +string description
- +Author[0..*] authors
- }
-
- class Author {
- +string name
- +string affiliation
- }
-
- class Experiment {
- +PlantSetup plant_setup
- +Measurement[0..*] measurements
- +SpeciesData species_data
- }
-
- class PlantSetup {
- +Device[0..*] devices
- +Tubing[0..*] tubing
- +Input[0..*] input
- +Output[0..*] output
- }
-
- class Device {
- +string manufacturer
- +string device_type
- +string series
- +boolean on_off
- }
-
- class Pump {
- +PumpType pump_type
- }
-
- class Thermocouple {
- +ThermocoupleType thermocouple_type
- }
-
- class MassFlowMeter {
- +Parameter min_flow
- +Parameter max_flow
- }
-
- class Parameter {
- +float value
- +UnitClass unit
- }
-
- class Potentiostat {
- +Measurement measurement
- +Metadata metadata
- }
-
- class Tubing {
- +Material material
- +float inner_diameter
- +float outer_diameter
- +integer length
- +Insulation insulation
- }
-
- class Insulation {
- +float thickness
- +Material material
- }
-
- class Input {
- +Chemical[0..*] component
- }
-
- class Output {
- +Chemical[0..*] component
- }
-
- class Chemical {
- +string[0..*] name
- +string formula
- +float pureness
- +string supplier
- +Stoichiometry stoichiometry
- +string state_of_matter
- +ReactantRole reactant_role
- }
-
- class Stoichiometry {
- +float equivalents
- +float amount_of_substance
- +float mass
- +float volume
- +float density
- +float molar_mass
- +float mass_concentration
- +float molar_concentration
- }
-
- class Data {
- +Quantity quantity
- +float, string, datetime[0..*] values
- +UnitClass unit
- }
-
- class Metadata {
- +string parameter
- +string, float, datetime value
- +string abbreviation
- +DataType, string data_type
- +string mode
- +UnitClass unit
- +string description
- }
-
- class Measurement {
- +MeasurementType measurement_type
- +Metadata[0..*] metadata
- +Data[0..*] experimental_data
- }
-
- class SpeciesData {
- +Species species
- +ChemicalFormula chemical_formula
- +Calibration calibration
- +Data correction_factor
- +Data faraday_coefficient
- +Data faraday_efficiency
- }
-
- class Calibration {
- +Data peak_areas
- +Data concentrations
- +Data slope
- +Data intercept
- +Data coefficient_of_determination
- }
-
- class DataType {
- << Enumeration >>
- +STRING
- +FLOAT
- +DATE
- +TIME
- +DATETIME
- +BOOLEAN
- +INTEGER
- +NONE
- +LABEL
- }
-
- class ThermocoupleType {
- << Enumeration >>
- +JTYPE
- +KTYPE
- }
-
- class Material {
- << Enumeration >>
- +SS14404
- +SS14571
- +SS14301
- +PTFE
- +PFA
- +STONEWOOL
- +GLASSWOOL
- +GLASSFIBER
- }
-
- class PumpType {
- << Enumeration >>
- +TUBINGPUMP
- +DIAPHRAGMPUMP
- }
-
- class ReactantRole {
- << Enumeration >>
- +EDUCT
- +PRODUCT
- +CATALYST
- +SOLVENT
- +INERTGAS
- }
-
- class DeviceList {
- << Enumeration >>
- +MASSFLOWCONTROLLER
- +HPLC
- +GC
- +POTENTIOSTAT
- +PRESSURETRANSDUCER
- +CONTROLUNIT
- }
-
- class Quantity {
- << Enumeration >>
- +TIME
- +VOLTAGE
- +CURRENT
- +CONCENTRATION
- +MASS
- +MASSFLOWRATE
- +VOLUMETRICFLOWRATE
- +DATETIME
- +FRACTION
- +SIGNAL
- +PEAKNUMBER
- +RETENTIONTIME
- +PEAKTYPE
- +PEAKAREA
- +PEAKHEIGHT
- +PEAKAREAPERCENTAGE
- +SLOPE
- +INTERCEPT
- +COEFFDET
- }
-
- class MeasurementType {
- << Enumeration >>
- +POTENTIOSTATIC
- +GC
- +MFM
- }
-
- class Species {
- << Enumeration >>
- +HYDROGEN
- +CARBONDIOXIDE
- +CARBONMONOXIDE
- +METHANE
- +ETHENE
- +ETHANE
- }
-
- class ChemicalFormula {
- << Enumeration >>
- +H2
- +CO2
- +CO
- +CH4
- +C2H4
- +C2H6
- }
-
-```
\ No newline at end of file
diff --git a/datamodel_b07_tc/tools/__init__.py b/datamodel_b07_tc/tools/__init__.py
index ebdb1fd..8342b20 100644
--- a/datamodel_b07_tc/tools/__init__.py
+++ b/datamodel_b07_tc/tools/__init__.py
@@ -2,5 +2,5 @@
from .readers.gstaticparser import GstaticParser
from .readers.mfmparser import MFMParser
from .calculus.calibrator import Calibrator
-from .calculus.calculator import Calculator
-from .calculus.assign_peak_areas import PeakAreaAssignment
+from .calculus.faraday_efficiency import FaradayEfficiencyCalculator
+from .calculus.assign_peak_areas import PeakAreaAssignment
\ No newline at end of file
diff --git a/datamodel_b07_tc/tools/__pycache__/__init__.cpython-310.pyc b/datamodel_b07_tc/tools/__pycache__/__init__.cpython-310.pyc
deleted file mode 100644
index 60ec76f..0000000
Binary files a/datamodel_b07_tc/tools/__pycache__/__init__.cpython-310.pyc and /dev/null differ
diff --git a/datamodel_b07_tc/tools/calculus/calibrator.py b/datamodel_b07_tc/tools/calculus/calibrator.py
index 8df59a7..3eab109 100644
--- a/datamodel_b07_tc/tools/calculus/calibrator.py
+++ b/datamodel_b07_tc/tools/calculus/calibrator.py
@@ -1,5 +1,6 @@
import json
from pydantic import BaseModel
+from typing import List
from datamodel_b07_tc.modified.speciesdata import SpeciesData
from datamodel_b07_tc.modified.calibration import Calibration
from datamodel_b07_tc.modified.data import Data
@@ -9,7 +10,7 @@
class Calibrator(BaseModel):
- species_data_list : list(SpeciesData)
+ species_data_list : List[SpeciesData]
@classmethod
def from_json_file(cls, path_to_json_file: Path):
@@ -27,7 +28,7 @@ def from_json_file(cls, path_to_json_file: Path):
for species, data in calibration_data.items():
species_data = SpeciesData(
species = species,
- chemical_formula = data['chemical_formula']
+ chemical_formula = data['chemical_formula'],
calibration = Calibration(
peak_areas=Data(
quantity='Peak area',
@@ -52,7 +53,7 @@ def calibrate(self):
analysis (Analysis): Analysis-type object tha contains the computed calibration data.
"""
for species_data in self.species_data_list:
- species_data.calibrate()
+ species_data.calibration.calibrate()
return self.species_data_list
@staticmethod
diff --git a/datamodel_b07_tc/tools/calculus/calculator.py b/datamodel_b07_tc/tools/calculus/faraday_efficiency.py
similarity index 75%
rename from datamodel_b07_tc/tools/calculus/calculator.py
rename to datamodel_b07_tc/tools/calculus/faraday_efficiency.py
index c2fc136..22f6744 100644
--- a/datamodel_b07_tc/tools/calculus/calculator.py
+++ b/datamodel_b07_tc/tools/calculus/faraday_efficiency.py
@@ -3,16 +3,15 @@
from pydantic import BaseModel
from pydantic import PrivateAttr
-from datetime import datetime
+from datetime import datetime, timedelta
from datamodel_b07_tc.modified import Experiment
from datamodel_b07_tc.modified import Measurement
import scipy.constants as const
-class Calculator(BaseModel):
+class FaradayEfficiencyCalculator(BaseModel):
experiment : Experiment
- correction_factors_dict: dict
electrode_surface_area: float
_volumetric_flow_mean: float = PrivateAttr()
_volumetric_fractions_df: pd.DataFrame = PrivateAttr()
@@ -30,7 +29,8 @@ def _calculate_volumetric_flow_mean(self, gc_measurement: Measurement, mean_radi
inj_date_datetime = datetime.strptime(
gc_measurement.injection_date, "%d-%b-%y, %H:%M:%S"
)
- match_datetime = min(volumetric_flow_datetime_list, key=lambda dt: abs(dt - inj_date_datetime))
+ print(volumetric_flow_datetime_list[0])
+ match_datetime = min(volumetric_flow_datetime_list, key=lambda dt: abs(datetime.strptime(dt, "%Y-%m-%d %H:%M:%S") - inj_date_datetime))
index_match = volumetric_flow_datetime_list.index(match_datetime)
mean_indices_list = [i for i in range(index_match-mean_radius, index_match + mean_radius + 1)]
self._volumetric_flow_mean = np.average([volumetric_flow_values_list[i] for i in mean_indices_list])
@@ -42,28 +42,34 @@ def _calculate_volumetric_fractions(self, assigned_peak_areas_dict:dict):
)
for species, peak_areas in assigned_peak_areas_dict.items():
self._volumetric_fractions_df.loc[species] = (
- peak_areas * self.experiment.analysis.get("calibrations", "species", species)[0][0].slope.values[0]
- + self.experiment.analysis.get("calibrations", "species", species)[0][0].intercept.values[0]
+ peak_areas * self.experiment.get("species_data", "species", species)[0][0].calibration.slope.values[0]
+ + self.experiment.get("species_data", "species", species)[0][0].calibration.intercept.values[0]
)
+ def _get_correction_factor(self, species):
+
+ species_data_object = self.experiment.get('species_data', 'species', species)[0][0]
+ return species_data_object.correction_factor
+
+
def _calculate_conversion_factor(self):
self._conversion_factor = (
1
/ (
- (self._volumetric_fractions_df.loc["H2"][0] / 100)
- / self.correction_factors_dict["H2"]
+ (self._volumetric_fractions_df.loc["Hydrogen"][0] / 100)
+ / self._get_correction_factor("Hydrogen")
+ (
1
- - (self._volumetric_fractions_df.loc["H2"][0] / 100)
- + (self._volumetric_fractions_df.loc["CO"][0]) / 100
+ - (self._volumetric_fractions_df.loc["Hydrogen"][0] / 100)
+ + (self._volumetric_fractions_df.loc["Carbon monoxide"][0]) / 100
)
- / self.correction_factors_dict["CO2"]
- + (self._volumetric_fractions_df.loc["CO"][0] / 100)
- / self.correction_factors_dict["CO"]
+ / self._get_correction_factor("Carbon dioxide")
+ + (self._volumetric_fractions_df.loc["Carbon monoxide"][0] / 100)
+ / self._get_correction_factor("Carbon monoxide")
)
- / self.correction_factors_dict["CO2"]
+ / self._get_correction_factor("Carbon dioxide")
)
def _calculate_real_volumetric_flow(self):
@@ -94,12 +100,12 @@ def _calculate_theoretical_material_flow(self):
absolute_initial_current = abs(self.experiment.initial_current)
current_density = absolute_initial_current / self.electrode_surface_area
factors = {
- "H2": 2,
- "CO": 2,
- "CO2": 2,
- "CH4": 8,
- "C2H4": 12,
- "C2H6": 16,
+ "Hydrogen": 2,
+ "Carbon monoxide": 2,
+ "Carbon dioxide": 2,
+ "Methane": 8,
+ "Ethene": 12,
+ "Ethane": 16,
}
self._theoretical_material_flow_df = pd.DataFrame(
index=[species for species in factors.keys()],
@@ -127,7 +133,10 @@ def calculate_faraday_efficiency(self, gc_measurement: Measurement, mean_radius:
self._calculate_volumetric_flow_fractions()
self._calculate_material_flow()
self._calculate_theoretical_material_flow()
- return self._material_flow_df.divide(self._theoretical_material_flow_df['Theoretical_material_flow'], axis='index')
+ rename = {"Material_flow": "Faraday_efficiency"}
+ faraday_efficiency_df = self._material_flow_df.divide(self._theoretical_material_flow_df['Theoretical_material_flow'], axis='index').rename(columns=rename)
+
+ return faraday_efficiency_df
@property
def volumetric_fractions(self):
diff --git a/datamodel_b07_tc/tools/readers/__pycache__/gcparser.cpython-310.pyc b/datamodel_b07_tc/tools/readers/__pycache__/gcparser.cpython-310.pyc
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diff --git a/datamodel_b07_tc/tools/readers/__pycache__/mfmparser.cpython-310.pyc b/datamodel_b07_tc/tools/readers/__pycache__/mfmparser.cpython-310.pyc
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diff --git a/datamodel_b07_tc/tools/readers/librarian.py b/datamodel_b07_tc/tools/readers/librarian.py
new file mode 100644
index 0000000..068abad
--- /dev/null
+++ b/datamodel_b07_tc/tools/readers/librarian.py
@@ -0,0 +1,5 @@
+from pathlib import Path
+
+class Librarian():
+
+
\ No newline at end of file
diff --git a/datasets/b07.json b/datasets/b07.json
deleted file mode 100644
index 194b906..0000000
--- a/datasets/b07.json
+++ /dev/null
@@ -1,26 +0,0 @@
-{
- "id": "dataset1",
- "general_information": {
- "id": "generalinformation2",
- "title": "Electrocatalytic CO2-reduction on carbon",
- "description": "The aim of this project is to blablabla",
- "authors": [
- {
- "id": "author2",
- "name": "Richard Sch\u00f6mig",
- "affiliation": "University of Stuttgart"
- },
- {
- "id": "author3",
- "name": "Maximilian Schmidt",
- "affiliation": "University of Stuttgart"
- }
- ]
- },
- "__source__": {
- "root": "Dataset",
- "repo": "https://github.com/FAIRChemistry/datamodel_b07_tc.git",
- "commit": "8393963859c5e818b7f836d46065e300e3d7c6d5",
- "url": "https://github.com/FAIRChemistry/datamodel_b07_tc/tree/8393963859c5e818b7f836d46065e300e3d7c6d5"
- }
-}
\ No newline at end of file
diff --git a/experimental_b07_tc.ipynb b/experimental_b07_tc.ipynb
deleted file mode 100644
index fa92d19..0000000
--- a/experimental_b07_tc.ipynb
+++ /dev/null
@@ -1,1003 +0,0 @@
-{
- "cells": [
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Workflow for the CRC1333 project B07 - Technical Chemistry"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Import necessary packages.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# import matplotlib.pyplot as plt\n",
- "# import numpy as np\n",
- "# import networkx as nx\n",
- "# import pandas as pd\n",
- "\n",
- "from datetime import datetime\n",
- "from sdRDM import DataModel\n",
- "from modules import GCParser\n",
- "from modules import GstaticParser\n",
- "from modules import MFMParser\n",
- "from modules import Calculator\n",
- "from modules import get_volumetric_flow_mean\n",
- "from modules import get_initial_time_and_current\n",
- "from modules import assign_peaks\n",
- "from pathlib import Path\n",
- "# from DEXPI2sdRDM import DEXPI2sdRDM"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Choose dataset to parse.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Get the current working directory.\n",
- "current_directory = Path.cwd()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Set the path for the datasets.\n",
- "path_to_datasets = current_directory / 'datasets'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# List all files in the directory.\n",
- "files = path_to_datasets.iterdir()\n",
- "\n",
- "# Filter for .json extensions.\n",
- "json_files = {index:file for index, file in enumerate(files) if file.suffix == '.json'}\n",
- "\n",
- "for index, file in json_files.items():\n",
- " print(f'{index}: {file.name}')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "index_dataset = 0"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Load dataset for project B07**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "dataset, lib = DataModel.parse(json_files[index_dataset])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# print(dataset.json())"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Instantiate an experiment object which holds all the information about one single experiment.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "experiment = lib.Experiment()\n",
- "dataset.experiments.append(experiment)"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Load data model from git or markdown file**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# lib = DataModel.from_markdown('specifications/datamodel_b07_tc.md')\n",
- "# lib = DataModel.from_git(url='https://github.com/FAIRChemistry/datamodel_b07_tc.git')"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Set path to current working directory and available datasets.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Set the path for the datasets\n",
- "path_to_datasets = Path('F:\\Doktorand\\\\03_Messungen\\Rohdaten')\n",
- "\n",
- "# names of the paths for the different types of measurement data\n",
- "echem_path = path_to_datasets / '01_EChem'\n",
- "gc_path = path_to_datasets / '02_GC'\n",
- "mfm_path = path_to_datasets / '03_MFM'\n",
- "hplc_path = path_to_datasets / '04_HPLC'\n",
- "pressure_path = path_to_datasets / '05_Pressure'\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "print(echem_path)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## **Parsing experimental data and metadata from various output files.**"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### **Choose files with raw data.**"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### gstatic"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Filter the directory for further subdirectories\n",
- "echem_directories = {index:directory for index, directory in enumerate(echem_path.iterdir())}\n",
- "\n",
- "# Print the names of the subdirectories.\n",
- "for index, directory in echem_directories.items():\n",
- " print(f\"{index}: {directory.name}\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Choose the desired subdirectory by its number.\n",
- "number_of_desired_directory = 1\n",
- "selected_directory = echem_directories[number_of_desired_directory]\n",
- "print(directory)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Provide name of the file of interest.\n",
- "file_name = 'GSTATIC.DTA'\n",
- "file_path = selected_directory / file_name\n",
- "print(file_path)"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Create an instance of the ``GstaticParser`` to parse Gamry output files and show available files in the selected directory.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "gstaticparser = GstaticParser(current_directory / 'data')\n",
- "dict_of_gstatic_files = gstaticparser.enumerate_available_files()\n",
- "for index, gstatic_file in dict_of_gstatic_files.items():\n",
- " print(f\"{index}: {gstatic_file}\")\n",
- "# available_files = gstaticparser.available_files\n",
- "# print(available_files)"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Chose specific file.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "gstatic_file = dict_of_gstatic_files[0]\n",
- "gstatic_file"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Extract the metadata from it using the ``GstaticParser`` and load into the data model.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "gstatic_metadata_df, gstatic_metadata = gstaticparser.extract_metadata(gstatic_file)\n",
- "potentiometric_measurement = lib.Measurement(measurement_type=lib.enums.MeasurementType.POTENTIOSTATIC, metadata=gstatic_metadata)\n",
- "experiment.measurements = [potentiometric_measurement]\n",
- "gstatic_metadata_df"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Mass flow meter"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Create an instance of the ``MFMParser`` to parse MFM output files and show available files in the selected directory.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "mfmparser = MFMParser(current_directory / 'data')\n",
- "dict_of_mfm_files = mfmparser.enumerate_available_files()\n",
- "for index, mfmfile in dict_of_mfm_files.items():\n",
- " print(f\"{index}: {mfmfile}\")"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Chose specific file**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "mfm_file = dict_of_mfm_files[4]\n",
- "mfm_file"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Extract the experimental data from it using the ``MFMParser`` and load into the data model.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "mfm_experimental_data_df, mfm_experimental_data = mfmparser.extract_exp_data(mfm_file)\n",
- "mfm = lib.Measurement(\n",
- " measurement_type=lib.enums.MeasurementType.MFM.value,\n",
- " experimental_data=[value for value in mfm_experimental_data.values()],\n",
- " )\n",
- "experiment.measurements.append(mfm)"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Print first 10 rows of the mfm experimental data.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "truncated_mfm_experimental_data_df= mfm_experimental_data_df.truncate(after=10)\n",
- "truncated_mfm_experimental_data_df"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Gas chromatography"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Create an instance of the ``GCParser`` to parse GC output files and show available files in the selected directory.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "gcparser = GCParser(current_directory / 'data')\n",
- "dict_of_gc_files = gcparser.enumerate_available_files()\n",
- "for index, gc_file in dict_of_gc_files.items():\n",
- " print(f\"{index}: {gc_file}\")"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Select gc file that contains the metadata**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "gc_metadata_file = dict_of_gc_files[2]\n",
- "gc_metadata_file"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Select file that contains the experimental data**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "gc_experimental_data_file = dict_of_gc_files[3]\n",
- "gc_experimental_data_file"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Extract the metadata and experimental data from them and load into the dataset.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "gc_metadata_df, gc_metadata= gcparser.extract_metadata(gc_metadata_file)\n",
- "gc_experimental_data_df, gc_experimental_data = gcparser.extract_exp_data(gc_experimental_data_file)\n",
- "gc = lib.Measurement(\n",
- " measurement_type=lib.enums.MeasurementType.GC.value,\n",
- " metadata=[value for value in gc_metadata.values()],\n",
- " experimental_data=[value for value in gc_experimental_data.values()]\n",
- ")\n",
- "experiment.measurements.append(gc)\n",
- "gc_metadata_df"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "gc_experimental_data_df"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Print current state of the data model**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "print(experiment.json())"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Assign peak areas to species.** \\\n",
- "The peak areas recorded by the GC have to be matched with the correct species. The individial ``Area`` is selected by its corresponding ``Peak_Number``. It is possible that the same species is accountable for multiple peaks, i.d. multiple peaks are assigned to the same species.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "assign_peak_dict={\n",
- " 'H2': [1],\n",
- " 'CO2': [2],\n",
- " 'CO': [6],\n",
- " 'CH4': [3],\n",
- " # 'C2H4': [5],\n",
- " # 'C2H6': [4],\n",
- "}\n",
- "peak_area_dict = assign_peaks(experiment, assign_peak_dict)\n",
- "\n",
- "for species, peak_area in peak_area_dict.items():\n",
- " print(f\"{species}: {peak_area}\")"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Set calibration input values and import into the data model.** \\\n",
- "To determine the concentrations of the individual species, a calibration has to be performed in advance to match the individual values for ``Area`` with their corresponding concentrations."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "calibration_input_dict={\n",
- " 'H2': [\n",
- " lib.enums.Species.HYDROGEN,\n",
- " [71,153,330],\n",
- " [5,10,20]\n",
- " ],\n",
- " 'CO':[\n",
- " lib.enums.Species.CARBONMONOXIDE,\n",
- " [797,1328,7223],\n",
- " [0.5,1,5]\n",
- " ],\n",
- " 'CO2': [\n",
- " lib.enums.Species.CARBONDIOXIDE,\n",
- " [0,38653],\n",
- " [0,50]\n",
- " ],\n",
- " 'CH4':[\n",
- " lib.enums.Species.METHANE,\n",
- " [5727,11991],\n",
- " [5,10]\n",
- " ],\n",
- " # 'C2H4':[\n",
- " # lib.enums.Species.ETHENE,\n",
- " # [1122,4864,7297],\n",
- " # [0.5,2,3]\n",
- " # ],\n",
- " # 'C2H6':[\n",
- " # [0,12168],\n",
- " # [0,5],\n",
- " # lib.enums.Species.ETHANE\n",
- " # ],\n",
- "}"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Instantiate the ``Calculator`` module.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "calculator=Calculator(path_to_dataset=path_to_dataset)"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Calibrate using the ``calibrate`` method of the ``Calculator`` module.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "for key, value in calibration_input_dict.items():\n",
- " print(value[0].value)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "calibration_df, calibration_dict=calculator.calibrate(calibration_input_dict)\n",
- "calibration_df\n",
- "# for species, value in calibration_dict.items():\n",
- "# print(f\"{species}: {value}\")\n",
- "# # print(lib.Calibration(value))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "calculation = lib.Analysis()\n",
- "calculation.calibrations = [calibration for calibration in calibration_dict.values()]\n",
- "experiment.analysis = calculation"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Print current state of the dataset**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "print(experiment.json())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "print(calibration_df.loc[species][1])"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Calculate volumetric fractions in %.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "volumetric_fractions_df = calculator.calculate_volumetric_fractions(peak_area_dict=peak_area_dict, calibration_df=calibration_df)\n",
- "volumetric_fractions_df"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Set the correction factors.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "correction_factors_dict= {\n",
- " 'H2':1.01,\n",
- " 'CO':0.74,\n",
- " 'CO2':1.00,\n",
- " 'CH4':0.76,\n",
- " # 'C2H4':,\n",
- " # 'C2H6':,\n",
- "}"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Calculate the conversion factor using the correction factors.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "conversion_factor = calculator.calculate_conversion_factor(\n",
- " volumetric_fractions_df=volumetric_fractions_df, correction_factors_dict=correction_factors_dict\n",
- ")\n",
- "conversion_factor"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Get mean flow rate in ml/min at the time of the gc measurement.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "volumetric_flow_mean = get_volumetric_flow_mean(experiment, 10)\n",
- "volumetric_flow_mean"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Calculate the real volumetric flow in ml/min.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "real_volumetric_flow = volumetric_flow_mean*conversion_factor\n",
- "real_volumetric_flow"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# vol_flow_real= calculator.calculate_real_volumetric_flow(conversion_factor = conversion_factor, measured_volumetric_flow_mean = vol_flow_mean )\n",
- "# vol_flow_real"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Calculate volumetric flow fractions in %.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "volumetric_flow_fractions_df=calculator.calculate_volumetric_flow_fractions(\n",
- " real_volumetric_flow=real_volumetric_flow, volumetric_fractions_df=volumetric_fractions_df\n",
- ")\n",
- "volumetric_flow_fractions_df"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Calculate material flow in mmol/min.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "material_flow_df = calculator.calcualte_material_flow(volumetric_flow_fractions_df=volumetric_flow_fractions_df)\n",
- "material_flow_df"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Get initial current in mA and initial time in s.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "initial_current, initial_time = get_initial_time_and_current(experiment)\n",
- "print(f'Initial current in mA: {initial_current}')\n",
- "print(f'Initial time in s: {initial_time}')"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Calculate theoretical material flow in mmol/min.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "electrode_surface_area = 1.0 # cm^2\n",
- "theoretical_material_flow_df=calculator.calculate_theoretical_material_flow(\n",
- " initial_current=initial_current, initial_time=initial_time, electrode_surface_area=electrode_surface_area\n",
- ")\n",
- "theoretical_material_flow_df"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Calculate Faraday efficiency and load into dataset.**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "faraday_efficiency_df = material_flow_df['Material_flow'] / theoretical_material_flow_df['Theoretical_material_flow']\n",
- "faraday_efficiency_df"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "dataset.experiments.append(experiment)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "with open(json_files[index_dataset], \"w\") as f:\n",
- " f.write(dataset.json())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# class DirectedGraph:\n",
- " \n",
- "# def __init__(self, name, connections):\n",
- "# self.name = name\n",
- "# self.connections = connections\n",
- "# self.connec_tuple = []\n",
- "# self.make_connectivity()\n",
- "\n",
- " \n",
- "# def make_connectivity(self):\n",
- "# if len(self.connections) == 0: \n",
- "# return([])\n",
- "# for connection in self.connections:\n",
- "# self.connec_tuple.append((self.name, connection))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# mod_1 = DirectedGraph(input0, [tubing0])\n",
- "# mod_2 = DirectedGraph(input1, [tubing1])\n",
- "# mod_3 = DirectedGraph(tubing0, [valve0])\n",
- "# mod_4 = DirectedGraph(tubing1, [valve0])\n",
- "# mod_5 = DirectedGraph(valve0, [tubing2])\n",
- "# mod_6 = DirectedGraph(fc, [tubing2])\n",
- "# mod_7 = DirectedGraph(tubing2, [valve1])\n",
- "# mod_8 = DirectedGraph(valve1, [tubing4])\n",
- "# mod_9 = DirectedGraph(tubing4, [valve2])\n",
- "# mod_10 = DirectedGraph(valve2, [tubing5])\n",
- "# mod_11 = DirectedGraph(tubing5, [gc])\n",
- "# mod_12 = DirectedGraph(tubing5, [fr])\n",
- "\n",
- "# modules = [mod_1, mod_2, mod_3, mod_4, mod_5, mod_6, mod_7, mod_8, mod_9, mod_10, mod_11, mod_12]\n",
- "# module_names = [flow_mod.name for flow_mod in modules]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# area = exp_df['Area']\n",
- "# peak_area_dict = {\n",
- "# 'co2': area.iloc[[1]].sum(),\n",
- "# 'co': area.iloc[[5,6]].sum(),\n",
- "# 'h2': area.iloc[[0]].sum(),\n",
- "# 'ch4': area.iloc[[2,3]].sum(),\n",
- "# 'c2h4': area.iloc[[4]].sum(),\n",
- "# # 'c2h6': area.iloc[[0,1]].sum()\n",
- "# }\n",
- "# peak_area_dict"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# flowG = nx.DiGraph()\n",
- "# flowG.add_nodes_from(module_names)\n",
- "# for module in modules:\n",
- "# flowG.add_edges_from(module.connec_tuple)\n",
- "# my_pos = nx.spring_layout(flowG, seed = 5) # this fixes the style of the graph, if it's ugly change the seed\n",
- "# nx.draw(flowG, pos = my_pos, with_labels=True)\n",
- "\n",
- "# \n",
- "# hallo\n",
- "#pimmel"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "b07",
- "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": "3.10.4"
- },
- "orig_nbformat": 4,
- "vscode": {
- "interpreter": {
- "hash": "9f62ab2d43dc75e3c3b007469adeb0f7488873df876b9b71dd3b119f0280ba41"
- }
- }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/experimental_tc.ipynb b/experimental_tc.ipynb
deleted file mode 100644
index 2f328fc..0000000
--- a/experimental_tc.ipynb
+++ /dev/null
@@ -1,644133 +0,0 @@
-{
- "cells": [
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Workflow for the CRC1333 project B07 - Technical Chemistry\n",
- "# Experimental notebook"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "---\n",
- "\n",
- "This is the ``Experimental`` ``notebook``, where the actual analysis of the experiments takes place. It consists of three parts: ``Parsing``, ``analysis`` and ``DaRUS`` ``upload``. Within the scope of each project, multiple experiments are perfomed, hence multiple analyses are to be done. For each individual experiment this workflow is to be executed once, and the results can be appended to the project's dataset.\n",
- "\n",
- "---"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [],
- "source": [
- "# from sdRDM.generator import generate_python_api\n",
- "from sdRDM import DataModel"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [],
- "source": [
- "# generate_python_api('specifications/datamodel_b07_tc.md', '', 'datamodel_b07_tc')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Import standard library python packages."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [],
- "source": [
- "%reload_ext autoreload\n",
- "%autoreload 2\n",
- "\n",
- "from datamodel_b07_tc.tools import GCParser\n",
- "from datamodel_b07_tc.tools import GstaticParser\n",
- "from datamodel_b07_tc.tools import MFMParser\n",
- "from datamodel_b07_tc.tools import Calculator\n",
- "from datamodel_b07_tc.tools import Calibrator\n",
- "from datamodel_b07_tc.tools import PeakAreaAssignment\n",
- "# from DEXPI2sdRDM import DEXPI2sdRDM"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [],
- "source": [
- "import os\n",
- "import json\n",
- "import ipywidgets as widgets\n",
- "import logging\n",
- "import logging.config\n",
- "from IPython.display import display\n",
- "from pathlib import Path"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "---\n",
- "## Section 0: Paths and Logging\n",
- "---"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Get path to the directory this notebook is located and check for correctness."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Path to this notebook's location: /mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc\n",
- "Is the path valid? True\n"
- ]
- }
- ],
- "source": [
- "root = Path(os.path.abspath(''))\n",
- "print(\"Path to this notebook's location:\", root)\n",
- "print('Is the path valid?', root.is_dir())"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Set path for the logger."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/datamodel_b07_tc/tools/logging/config.json\n"
- ]
- }
- ],
- "source": [
- "config_path = root / \"datamodel_b07_tc/tools/logging/config.json\"\n",
- "print(config_path)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Set up logger."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {},
- "outputs": [],
- "source": [
- "logging_config_path = root / \"datamodel_b07_tc/tools/logging/config.json\"\n",
- "with open(logging_config_path) as logging_config_json:\n",
- " logging_config = json.load(logging_config_json)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {},
- "outputs": [],
- "source": [
- "logging.config.dictConfig(logging_config)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2023-09-14 17:09:08,162 - __main__ - WARNING - uff\n"
- ]
- }
- ],
- "source": [
- "logger = logging.getLogger(__name__)\n",
- "logger.debug(\"obacht\")\n",
- "logger.warning('uff')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "---\n",
- "## Section 1: Parsing\n",
- "---"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "In this section the data model and the dataset as well as all the output files necessary for analysis are parsed. "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- " Set path to datasets."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {},
- "outputs": [],
- "source": [
- "path_to_datasets = root / 'datasets'"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "List all available datasets in the directory.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "0: b07.json\n"
- ]
- }
- ],
- "source": [
- "files = path_to_datasets.iterdir()\n",
- "json_files = {index:file for index, file in enumerate(files) if file.suffix == '.json'}\n",
- "for index, file in json_files.items():\n",
- " print(f'{index}: {file.name}')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Choose dataset to be loaded by its index."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {},
- "outputs": [],
- "source": [
- "index_dataset = 0\n",
- "dataset, lib = DataModel.parse(json_files[index_dataset])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Visualize the data model."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {},
- "outputs": [],
- "source": [
- "# lib.Dataset.meta_tree()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Print current status of the dataset."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "metadata": {},
- "outputs": [],
- "source": [
- "# print(dataset.json())"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Set path to the directory containing the data."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "metadata": {},
- "outputs": [],
- "source": [
- "path_data = root / 'data'"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Path for the raw data."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 16,
- "metadata": {},
- "outputs": [],
- "source": [
- "# raw_data_path = Path('F:\\Doktorand\\\\03_Messungen\\Rohdaten')\n",
- "path_raw_data = path_data / 'Rohdaten'"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Instantiate an experiment object which holds all the information about one single experiment."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 17,
- "metadata": {},
- "outputs": [],
- "source": [
- "experiment = lib.Experiment()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Potenstiostatic data"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Provide name of the directory containing the potentiostatic measurement data."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 18,
- "metadata": {},
- "outputs": [],
- "source": [
- "path_echem = path_raw_data / '01_EChem'"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Search in that directory for further subdirectories and print them."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 19,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "0: 210728_ITO_TEST\n",
- "1: CAD14-Cu@AB\n"
- ]
- }
- ],
- "source": [
- "subdirectories_echem = {index:directory for index, directory in enumerate(path_echem.iterdir())}\n",
- "for index, directory in subdirectories_echem.items():\n",
- " print(f\"{index}: {directory.name}\")"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Choose subdirectory by its index."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 20,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/data/Rohdaten/01_EChem/CAD14-Cu@AB\n"
- ]
- }
- ],
- "source": [
- "subdirectory_index_echem = 1\n",
- "selected_subdirectory_echem = subdirectories_echem[subdirectory_index_echem]\n",
- "print(selected_subdirectory_echem)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Provide suffix of the file that contains the data."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 21,
- "metadata": {},
- "outputs": [],
- "source": [
- "suffix_echem = 'DTA'"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Initialize the ``GstaticParser`` and print available files."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 22,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "0: GSTATIC\n",
- "1: POTDYN\n"
- ]
- }
- ],
- "source": [
- "gstaticparser = GstaticParser(selected_subdirectory_echem, suffix_echem)\n",
- "files_dict_echem = gstaticparser.available_files\n",
- "for index, gstatic_file in files_dict_echem.items():\n",
- " print(f\"{index}: {gstatic_file.stem}\")"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Chose specific file."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 23,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'GSTATIC.DTA'"
- ]
- },
- "execution_count": 23,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "file_index_echem = 0\n",
- "file_echem = files_dict_echem[file_index_echem]\n",
- "file_echem.name"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Extract the metadata from it using the ``GstaticParser`` and load into the data model."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 24,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " Parameter | \n",
- " Data_type | \n",
- " Value | \n",
- " Description | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " 0 | \n",
- " PSTAT | \n",
- " PSTAT | \n",
- " REF3000-19129 | \n",
- " Potentiostat | \n",
- "
\n",
- " \n",
- " 1 | \n",
- " IINIT | \n",
- " QUANT | \n",
- " -2.00000E+002 | \n",
- " Initial I (mA/cm^2) | \n",
- "
\n",
- " \n",
- " 2 | \n",
- " TINIT | \n",
- " QUANT | \n",
- " 3.60000E+003 | \n",
- " Initial Time (s) | \n",
- "
\n",
- " \n",
- " 3 | \n",
- " IFINAL | \n",
- " QUANT | \n",
- " -2.00000E+002 | \n",
- " Final I (mA/cm^2) | \n",
- "
\n",
- " \n",
- " 4 | \n",
- " TFINAL | \n",
- " QUANT | \n",
- " 0.00000E+000 | \n",
- " Final Time (s) | \n",
- "
\n",
- " \n",
- " 5 | \n",
- " SAMPLETIME | \n",
- " QUANT | \n",
- " 1.00000E+000 | \n",
- " Sample Period (s) | \n",
- "
\n",
- " \n",
- " 6 | \n",
- " AREA | \n",
- " QUANT | \n",
- " 1.00000E+000 | \n",
- " Sample Area (cm^2) | \n",
- "
\n",
- " \n",
- " 7 | \n",
- " DENSITY | \n",
- " QUANT | \n",
- " 7.87000E+000 | \n",
- " Density (g/cm^3) | \n",
- "
\n",
- " \n",
- " 8 | \n",
- " EQUIV | \n",
- " QUANT | \n",
- " 2.79200E+001 | \n",
- " Equiv. Wt | \n",
- "
\n",
- " \n",
- " 9 | \n",
- " IRCOMP | \n",
- " TOGGLE | \n",
- " T | \n",
- " IR Comp | \n",
- "
\n",
- " \n",
- " 10 | \n",
- " EOC | \n",
- " QUANT | \n",
- " 0 | \n",
- " Open Circuit (V) | \n",
- "
\n",
- " \n",
- " 11 | \n",
- " SEQUENCER | \n",
- " TOGGLE | \n",
- " TRUE | \n",
- " Run as Sequence | \n",
- "
\n",
- " \n",
- " 12 | \n",
- " PSTATMODEL | \n",
- " IQUANT | \n",
- " 5 | \n",
- " Pstat Model | \n",
- "
\n",
- " \n",
- " 13 | \n",
- " PSTATSECTION | \n",
- " LABEL | \n",
- " REF3000-19129 | \n",
- " Pstat Section | \n",
- "
\n",
- " \n",
- " 14 | \n",
- " PSTATSERIALNO | \n",
- " LABEL | \n",
- " 19129 | \n",
- " Pstat Serial Number | \n",
- "
\n",
- " \n",
- " 15 | \n",
- " CTRLMODE | \n",
- " IQUANT | \n",
- " 0 | \n",
- " Control Mode | \n",
- "
\n",
- " \n",
- " 16 | \n",
- " ELECTROMETER | \n",
- " IQUANT | \n",
- " 0 | \n",
- " RE=0 or CS=1 | \n",
- "
\n",
- " \n",
- " 17 | \n",
- " IESTAB | \n",
- " IQUANT | \n",
- " 0 | \n",
- " I/E Stability | \n",
- "
\n",
- " \n",
- " 18 | \n",
- " CASPEED | \n",
- " IQUANT | \n",
- " 4 | \n",
- " Control Amp Speed | \n",
- "
\n",
- " \n",
- " 19 | \n",
- " CONVENTION | \n",
- " IQUANT | \n",
- " 1 | \n",
- " Current Convention | \n",
- "
\n",
- " \n",
- " 20 | \n",
- " ICHRANGE | \n",
- " IQUANT | \n",
- " 2 | \n",
- " Ich Range | \n",
- "
\n",
- " \n",
- " 21 | \n",
- " ICHRANGEMODE | \n",
- " TOGGLE | \n",
- " T | \n",
- " Ich Auto Range | \n",
- "
\n",
- " \n",
- " 22 | \n",
- " ICHOFFSETENABLE | \n",
- " TOGGLE | \n",
- " F | \n",
- " Ich Offset Enable | \n",
- "
\n",
- " \n",
- " 23 | \n",
- " ICHOFFSET | \n",
- " QUANT | \n",
- " 0 | \n",
- " Ich Offset (V) | \n",
- "
\n",
- " \n",
- " 24 | \n",
- " ICHFILTER | \n",
- " IQUANT | \n",
- " 3 | \n",
- " Ich Filter | \n",
- "
\n",
- " \n",
- " 25 | \n",
- " VCHRANGE | \n",
- " IQUANT | \n",
- " 3 | \n",
- " Vch Range | \n",
- "
\n",
- " \n",
- " 26 | \n",
- " VCHRANGEMODE | \n",
- " TOGGLE | \n",
- " T | \n",
- " Vch Auto Range | \n",
- "
\n",
- " \n",
- " 27 | \n",
- " VCHOFFSETENABLE | \n",
- " TOGGLE | \n",
- " F | \n",
- " Vch Offset Enable | \n",
- "
\n",
- " \n",
- " 28 | \n",
- " VCHOFFSET | \n",
- " QUANT | \n",
- " 0 | \n",
- " Vch Offset (V) | \n",
- "
\n",
- " \n",
- " 29 | \n",
- " VCHFILTER | \n",
- " IQUANT | \n",
- " 1 | \n",
- " Vch Filter | \n",
- "
\n",
- " \n",
- " 30 | \n",
- " ACHRANGE | \n",
- " IQUANT | \n",
- " 2 | \n",
- " Ach Range | \n",
- "
\n",
- " \n",
- " 31 | \n",
- " ACHOFFSETENABLE | \n",
- " TOGGLE | \n",
- " F | \n",
- " Ach Offset Enable | \n",
- "
\n",
- " \n",
- " 32 | \n",
- " ACHOFFSET | \n",
- " QUANT | \n",
- " 0 | \n",
- " Ach Offset (V) | \n",
- "
\n",
- " \n",
- " 33 | \n",
- " ACHFILTER | \n",
- " IQUANT | \n",
- " 1 | \n",
- " Ach Filter | \n",
- "
\n",
- " \n",
- " 34 | \n",
- " IERANGELOWERLIMIT | \n",
- " IQUANT | \n",
- " 4 | \n",
- " I/E Range Lower Limit | \n",
- "
\n",
- " \n",
- " 35 | \n",
- " IERANGEMODE | \n",
- " TOGGLE | \n",
- " F | \n",
- " I/E AutoRange | \n",
- "
\n",
- " \n",
- " 36 | \n",
- " IERANGE | \n",
- " IQUANT | \n",
- " 11 | \n",
- " I/E Range | \n",
- "
\n",
- " \n",
- " 37 | \n",
- " POSFEEDENABLE | \n",
- " TOGGLE | \n",
- " F | \n",
- " Positive Feedback IR Comp | \n",
- "
\n",
- " \n",
- " 38 | \n",
- " POSFEEDRESISTANCE | \n",
- " QUANT | \n",
- " 0 | \n",
- " Positive Feedback Resistance (ohm) | \n",
- "
\n",
- " \n",
- " 39 | \n",
- " ACHSELECT | \n",
- " IQUANT | \n",
- " 0 | \n",
- " Ach Select | \n",
- "
\n",
- " \n",
- " 40 | \n",
- " SENSECABLEID | \n",
- " IQUANT | \n",
- " 14 | \n",
- " Sense Cable ID | \n",
- "
\n",
- " \n",
- " 41 | \n",
- " PWRCABLEID | \n",
- " IQUANT | \n",
- " 13 | \n",
- " Power Cable ID | \n",
- "
\n",
- " \n",
- " 42 | \n",
- " DCCALDATE | \n",
- " LABEL | \n",
- " 11/22/2022 | \n",
- " DC Calibration Date | \n",
- "
\n",
- " \n",
- " 43 | \n",
- " ACCALDATE | \n",
- " LABEL | \n",
- " NaN | \n",
- " AC Calibration Date | \n",
- "
\n",
- " \n",
- " 44 | \n",
- " THERMOSELECT | \n",
- " IQUANT | \n",
- " 1 | \n",
- " Thermo Select | \n",
- "
\n",
- " \n",
- " 45 | \n",
- " FRAMEWORKVERSION | \n",
- " QUANT | \n",
- " 7.07 | \n",
- " Framework Version | \n",
- "
\n",
- " \n",
- " 46 | \n",
- " INSTRUMENTVERSION | \n",
- " LABEL | \n",
- " 4.35 | \n",
- " Instrument Version | \n",
- "
\n",
- " \n",
- " 47 | \n",
- " COMPLIANCEVOLTAGE | \n",
- " IQUANT | \n",
- " 0 | \n",
- " Compliance Voltage | \n",
- "
\n",
- " \n",
- "
\n",
- "
"
- ],
- "text/plain": [
- " Parameter Data_type Value \n",
- "0 PSTAT PSTAT REF3000-19129 \\\n",
- "1 IINIT QUANT -2.00000E+002 \n",
- "2 TINIT QUANT 3.60000E+003 \n",
- "3 IFINAL QUANT -2.00000E+002 \n",
- "4 TFINAL QUANT 0.00000E+000 \n",
- "5 SAMPLETIME QUANT 1.00000E+000 \n",
- "6 AREA QUANT 1.00000E+000 \n",
- "7 DENSITY QUANT 7.87000E+000 \n",
- "8 EQUIV QUANT 2.79200E+001 \n",
- "9 IRCOMP TOGGLE T \n",
- "10 EOC QUANT 0 \n",
- "11 SEQUENCER TOGGLE TRUE \n",
- "12 PSTATMODEL IQUANT 5 \n",
- "13 PSTATSECTION LABEL REF3000-19129 \n",
- "14 PSTATSERIALNO LABEL 19129 \n",
- "15 CTRLMODE IQUANT 0 \n",
- "16 ELECTROMETER IQUANT 0 \n",
- "17 IESTAB IQUANT 0 \n",
- "18 CASPEED IQUANT 4 \n",
- "19 CONVENTION IQUANT 1 \n",
- "20 ICHRANGE IQUANT 2 \n",
- "21 ICHRANGEMODE TOGGLE T \n",
- "22 ICHOFFSETENABLE TOGGLE F \n",
- "23 ICHOFFSET QUANT 0 \n",
- "24 ICHFILTER IQUANT 3 \n",
- "25 VCHRANGE IQUANT 3 \n",
- "26 VCHRANGEMODE TOGGLE T \n",
- "27 VCHOFFSETENABLE TOGGLE F \n",
- "28 VCHOFFSET QUANT 0 \n",
- "29 VCHFILTER IQUANT 1 \n",
- "30 ACHRANGE IQUANT 2 \n",
- "31 ACHOFFSETENABLE TOGGLE F \n",
- "32 ACHOFFSET QUANT 0 \n",
- "33 ACHFILTER IQUANT 1 \n",
- "34 IERANGELOWERLIMIT IQUANT 4 \n",
- "35 IERANGEMODE TOGGLE F \n",
- "36 IERANGE IQUANT 11 \n",
- "37 POSFEEDENABLE TOGGLE F \n",
- "38 POSFEEDRESISTANCE QUANT 0 \n",
- "39 ACHSELECT IQUANT 0 \n",
- "40 SENSECABLEID IQUANT 14 \n",
- "41 PWRCABLEID IQUANT 13 \n",
- "42 DCCALDATE LABEL 11/22/2022 \n",
- "43 ACCALDATE LABEL NaN \n",
- "44 THERMOSELECT IQUANT 1 \n",
- "45 FRAMEWORKVERSION QUANT 7.07 \n",
- "46 INSTRUMENTVERSION LABEL 4.35 \n",
- "47 COMPLIANCEVOLTAGE IQUANT 0 \n",
- "\n",
- " Description \n",
- "0 Potentiostat \n",
- "1 Initial I (mA/cm^2) \n",
- "2 Initial Time (s) \n",
- "3 Final I (mA/cm^2) \n",
- "4 Final Time (s) \n",
- "5 Sample Period (s) \n",
- "6 Sample Area (cm^2) \n",
- "7 Density (g/cm^3) \n",
- "8 Equiv. Wt \n",
- "9 IR Comp \n",
- "10 Open Circuit (V) \n",
- "11 Run as Sequence \n",
- "12 Pstat Model \n",
- "13 Pstat Section \n",
- "14 Pstat Serial Number \n",
- "15 Control Mode \n",
- "16 RE=0 or CS=1 \n",
- "17 I/E Stability \n",
- "18 Control Amp Speed \n",
- "19 Current Convention \n",
- "20 Ich Range \n",
- "21 Ich Auto Range \n",
- "22 Ich Offset Enable \n",
- "23 Ich Offset (V) \n",
- "24 Ich Filter \n",
- "25 Vch Range \n",
- "26 Vch Auto Range \n",
- "27 Vch Offset Enable \n",
- "28 Vch Offset (V) \n",
- "29 Vch Filter \n",
- "30 Ach Range \n",
- "31 Ach Offset Enable \n",
- "32 Ach Offset (V) \n",
- "33 Ach Filter \n",
- "34 I/E Range Lower Limit \n",
- "35 I/E AutoRange \n",
- "36 I/E Range \n",
- "37 Positive Feedback IR Comp \n",
- "38 Positive Feedback Resistance (ohm) \n",
- "39 Ach Select \n",
- "40 Sense Cable ID \n",
- "41 Power Cable ID \n",
- "42 DC Calibration Date \n",
- "43 AC Calibration Date \n",
- "44 Thermo Select \n",
- "45 Framework Version \n",
- "46 Instrument Version \n",
- "47 Compliance Voltage "
- ]
- },
- "execution_count": 24,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "gstatic_metadata_df, gstatic_metadata = gstaticparser.extract_metadata(file_index_echem)\n",
- "potentiometric_measurement = lib.Measurement(measurement_type=lib.enums.MeasurementType.POTENTIOSTATIC, metadata=gstatic_metadata)\n",
- "experiment.measurements = [potentiometric_measurement]\n",
- "gstatic_metadata_df"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### MFM data"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Provide name of the subdirectory containing the mass flow meter measurement data."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 25,
- "metadata": {},
- "outputs": [],
- "source": [
- "path_mfm = path_raw_data / '03_MFM'"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Search directory for further subdirectories and print them."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 26,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "0: CAD14-Cu@AB\n"
- ]
- }
- ],
- "source": [
- "subdirectories_mfm = {index:directory for index, directory in enumerate(path_mfm.iterdir())}\n",
- "for index, directory in subdirectories_mfm.items():\n",
- " print(f\"{index}: {directory.name}\")"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Choose subdirectory by its index."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 27,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "/mnt/c/Users/rscho/Documents/GitHub/datamodel_b07_tc/data/Rohdaten/03_MFM/CAD14-Cu@AB\n"
- ]
- }
- ],
- "source": [
- "subdirectory_index_mfm = 0\n",
- "selected_subdirectory_mfm = subdirectories_mfm[subdirectory_index_mfm]\n",
- "print(selected_subdirectory_mfm)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Provide suffix of the file that contains the data."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 28,
- "metadata": {},
- "outputs": [],
- "source": [
- "suffix_mfm = 'csv'"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Instantiate the ``MFMParser`` to parse MFM output files and show available files in the selected directory."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 29,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "0: Bench-2h-GSS_CAD14-Cu@AB_200_50c_24h.csv\n",
- "1: Bench-2h-GSS_CAD14-Cu@AB_200_50c_24h_truncated.csv\n"
- ]
- }
- ],
- "source": [
- "mfmparser = MFMParser(selected_subdirectory_mfm, suffix_mfm)\n",
- "files_dict_mfm = mfmparser.available_files\n",
- "for index, mfm_file in files_dict_mfm.items():\n",
- " print(f\"{index}: {mfm_file.name}\")"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Chose file to be parsed."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 30,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Bench-2h-GSS_CAD14-Cu@AB_200_50c_24h.csv'"
- ]
- },
- "execution_count": 30,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "file_index_mfm = 0\n",
- "file_mfm = files_dict_mfm[file_index_mfm]\n",
- "file_mfm.name"
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Extract the experimental data from it using the ``MFMParser`` and load into the data model."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 31,
- "metadata": {},
- "outputs": [],
- "source": [
- "experimental_data_df_mfm, experimental_data_dict_mfm = mfmparser.extract_exp_data(file_index_mfm)\n",
- "mfm = lib.Measurement(\n",
- " measurement_type=lib.enums.MeasurementType.MFM.value,\n",
- " experimental_data=[value for value in experimental_data_dict_mfm.values()],\n",
- " )\n",
- "experiment.measurements.append(mfm)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Print mfm data."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 32,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " Datetime | \n",
- " Time | \n",
- " Signal | \n",
- " Flow_rate | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " 0 | \n",
- " 2023-02-06 09:58:48 | \n",
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- " 3 | \n",
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- " 5.122616 | \n",
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- " 4 | \n",
- " 2023-02-06 09:58:56 | \n",
- " 8.0 | \n",
- " 3290.0 | \n",
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- " \n",
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- " ... | \n",
- " ... | \n",
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\n",
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- " 513932.0 | \n",
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- " \n",
- "
\n",
- "
159826 rows × 4 columns
\n",
- "
"
- ],
- "text/plain": [
- " Datetime Time Signal Flow_rate\n",
- "0 2023-02-06 09:58:48 0.0 3258.0 5.090180\n",
- "1 2023-02-06 09:58:50 2.0 3267.0 5.104674\n",
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- "256968 2023-01-31 09:15:40 513936.0 3318.0 5.184328\n",
- "\n",
- "[159826 rows x 4 columns]"
- ]
- },
- "execution_count": 32,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "experimental_data_df_mfm"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 33,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
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