init
This commit is contained in:
janeoa
209
.gitignore
vendored
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209
.gitignore
vendored
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|||||||
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# Created by https://www.toptal.com/developers/gitignore/api/macos,python
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||||||
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# Edit at https://www.toptal.com/developers/gitignore?templates=macos,python
|
||||||
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|
||||||
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### macOS ###
|
||||||
|
# General
|
||||||
|
.DS_Store
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||||||
|
.AppleDouble
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||||||
|
.LSOverride
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||||||
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|
||||||
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# Icon must end with two \r
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||||||
|
Icon
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||||||
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|
||||||
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|
||||||
|
# Thumbnails
|
||||||
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._*
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||||||
|
|
||||||
|
# Files that might appear in the root of a volume
|
||||||
|
.DocumentRevisions-V100
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||||||
|
.fseventsd
|
||||||
|
.Spotlight-V100
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||||||
|
.TemporaryItems
|
||||||
|
.Trashes
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||||||
|
.VolumeIcon.icns
|
||||||
|
.com.apple.timemachine.donotpresent
|
||||||
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|
||||||
|
# Directories potentially created on remote AFP share
|
||||||
|
.AppleDB
|
||||||
|
.AppleDesktop
|
||||||
|
Network Trash Folder
|
||||||
|
Temporary Items
|
||||||
|
.apdisk
|
||||||
|
|
||||||
|
### macOS Patch ###
|
||||||
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# iCloud generated files
|
||||||
|
*.icloud
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||||||
|
|
||||||
|
### Python ###
|
||||||
|
# Byte-compiled / optimized / DLL files
|
||||||
|
__pycache__/
|
||||||
|
*.py[cod]
|
||||||
|
*$py.class
|
||||||
|
|
||||||
|
# C extensions
|
||||||
|
*.so
|
||||||
|
|
||||||
|
# Distribution / packaging
|
||||||
|
.Python
|
||||||
|
build/
|
||||||
|
develop-eggs/
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||||||
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dist/
|
||||||
|
downloads/
|
||||||
|
eggs/
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||||||
|
.eggs/
|
||||||
|
lib/
|
||||||
|
lib64/
|
||||||
|
parts/
|
||||||
|
sdist/
|
||||||
|
var/
|
||||||
|
wheels/
|
||||||
|
share/python-wheels/
|
||||||
|
*.egg-info/
|
||||||
|
.installed.cfg
|
||||||
|
*.egg
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||||||
|
MANIFEST
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||||||
|
|
||||||
|
# PyInstaller
|
||||||
|
# Usually these files are written by a python script from a template
|
||||||
|
# before PyInstaller builds the exe, so as to inject date/other infos into it.
|
||||||
|
*.manifest
|
||||||
|
*.spec
|
||||||
|
|
||||||
|
# Installer logs
|
||||||
|
pip-log.txt
|
||||||
|
pip-delete-this-directory.txt
|
||||||
|
|
||||||
|
# Unit test / coverage reports
|
||||||
|
htmlcov/
|
||||||
|
.tox/
|
||||||
|
.nox/
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||||||
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.coverage
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||||||
|
.coverage.*
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||||||
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.cache
|
||||||
|
nosetests.xml
|
||||||
|
coverage.xml
|
||||||
|
*.cover
|
||||||
|
*.py,cover
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||||||
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.hypothesis/
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||||||
|
.pytest_cache/
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||||||
|
cover/
|
||||||
|
|
||||||
|
# Translations
|
||||||
|
*.mo
|
||||||
|
*.pot
|
||||||
|
|
||||||
|
# Django stuff:
|
||||||
|
*.log
|
||||||
|
local_settings.py
|
||||||
|
db.sqlite3
|
||||||
|
db.sqlite3-journal
|
||||||
|
|
||||||
|
# Flask stuff:
|
||||||
|
instance/
|
||||||
|
.webassets-cache
|
||||||
|
|
||||||
|
# Scrapy stuff:
|
||||||
|
.scrapy
|
||||||
|
|
||||||
|
# Sphinx documentation
|
||||||
|
docs/_build/
|
||||||
|
|
||||||
|
# PyBuilder
|
||||||
|
.pybuilder/
|
||||||
|
target/
|
||||||
|
|
||||||
|
# Jupyter Notebook
|
||||||
|
.ipynb_checkpoints
|
||||||
|
|
||||||
|
# IPython
|
||||||
|
profile_default/
|
||||||
|
ipython_config.py
|
||||||
|
|
||||||
|
# pyenv
|
||||||
|
# For a library or package, you might want to ignore these files since the code is
|
||||||
|
# intended to run in multiple environments; otherwise, check them in:
|
||||||
|
# .python-version
|
||||||
|
|
||||||
|
# pipenv
|
||||||
|
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
|
||||||
|
# However, in case of collaboration, if having platform-specific dependencies or dependencies
|
||||||
|
# having no cross-platform support, pipenv may install dependencies that don't work, or not
|
||||||
|
# install all needed dependencies.
|
||||||
|
#Pipfile.lock
|
||||||
|
|
||||||
|
# poetry
|
||||||
|
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
|
||||||
|
# This is especially recommended for binary packages to ensure reproducibility, and is more
|
||||||
|
# commonly ignored for libraries.
|
||||||
|
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
|
||||||
|
#poetry.lock
|
||||||
|
|
||||||
|
# pdm
|
||||||
|
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
|
||||||
|
#pdm.lock
|
||||||
|
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
|
||||||
|
# in version control.
|
||||||
|
# https://pdm.fming.dev/#use-with-ide
|
||||||
|
.pdm.toml
|
||||||
|
|
||||||
|
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
|
||||||
|
__pypackages__/
|
||||||
|
|
||||||
|
# Celery stuff
|
||||||
|
celerybeat-schedule
|
||||||
|
celerybeat.pid
|
||||||
|
|
||||||
|
# SageMath parsed files
|
||||||
|
*.sage.py
|
||||||
|
|
||||||
|
# Environments
|
||||||
|
.env
|
||||||
|
.venv
|
||||||
|
env/
|
||||||
|
venv/
|
||||||
|
ENV/
|
||||||
|
env.bak/
|
||||||
|
venv.bak/
|
||||||
|
|
||||||
|
# Spyder project settings
|
||||||
|
.spyderproject
|
||||||
|
.spyproject
|
||||||
|
|
||||||
|
# Rope project settings
|
||||||
|
.ropeproject
|
||||||
|
|
||||||
|
# mkdocs documentation
|
||||||
|
/site
|
||||||
|
|
||||||
|
# mypy
|
||||||
|
.mypy_cache/
|
||||||
|
.dmypy.json
|
||||||
|
dmypy.json
|
||||||
|
|
||||||
|
# Pyre type checker
|
||||||
|
.pyre/
|
||||||
|
|
||||||
|
# pytype static type analyzer
|
||||||
|
.pytype/
|
||||||
|
|
||||||
|
# Cython debug symbols
|
||||||
|
cython_debug/
|
||||||
|
|
||||||
|
# PyCharm
|
||||||
|
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
|
||||||
|
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
|
||||||
|
# and can be added to the global gitignore or merged into this file. For a more nuclear
|
||||||
|
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
|
||||||
|
#.idea/
|
||||||
|
|
||||||
|
### Python Patch ###
|
||||||
|
# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
|
||||||
|
poetry.toml
|
||||||
|
|
||||||
|
# ruff
|
||||||
|
.ruff_cache/
|
||||||
|
|
||||||
|
# LSP config files
|
||||||
|
pyrightconfig.json
|
||||||
|
|
||||||
|
# End of https://www.toptal.com/developers/gitignore/api/macos,python
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||||||
16
README.md
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16
README.md
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|||||||
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# Setup
|
||||||
|
|
||||||
|
Install dependencies:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
pip install -r requirements.txt
|
||||||
|
```
|
||||||
|
|
||||||
|
## Run
|
||||||
|
|
||||||
|
Open the notebook in Jupyter:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
jupyter notebook
|
||||||
|
```
|
||||||
|
|
||||||
BIN
Tc pH assay siderite.xlsx
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BIN
Tc pH assay siderite.xlsx
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771
hehe1.ipynb
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771
hehe1.ipynb
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{
|
||||||
|
"cells": [
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "f5257869",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"# Step 1 is to import Data. \n",
|
||||||
|
"Seems like it is possible to import ur Excel directly:"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "003d5178",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"## Here are the import. Not that important"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 47,
|
||||||
|
"id": "7594a3a3",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"import pandas as pd\n",
|
||||||
|
"from dataclasses import dataclass\n",
|
||||||
|
"from datetime import date, datetime"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "c276e1f8",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"## Here is the data"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "6ee960c6",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"### \"LSC raw data\" sheet has two tables"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 42,
|
||||||
|
"id": "87639af2-44c8-425f-bd0d-37348e1fbaa3",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/html": [
|
||||||
|
"<div>\n",
|
||||||
|
"<style scoped>\n",
|
||||||
|
" .dataframe tbody tr th:only-of-type {\n",
|
||||||
|
" vertical-align: middle;\n",
|
||||||
|
" }\n",
|
||||||
|
"\n",
|
||||||
|
" .dataframe tbody tr th {\n",
|
||||||
|
" vertical-align: top;\n",
|
||||||
|
" }\n",
|
||||||
|
"\n",
|
||||||
|
" .dataframe thead th {\n",
|
||||||
|
" text-align: right;\n",
|
||||||
|
" }\n",
|
||||||
|
"</style>\n",
|
||||||
|
"<table border=\"1\" class=\"dataframe\">\n",
|
||||||
|
" <thead>\n",
|
||||||
|
" <tr style=\"text-align: right;\">\n",
|
||||||
|
" <th></th>\n",
|
||||||
|
" <th>Position</th>\n",
|
||||||
|
" <th>Sample_ID</th>\n",
|
||||||
|
" <th>CPM</th>\n",
|
||||||
|
" <th>Efficiency</th>\n",
|
||||||
|
" <th>DPM im Vial</th>\n",
|
||||||
|
" <th>Bq im Vial</th>\n",
|
||||||
|
" <th>Error 2S%</th>\n",
|
||||||
|
" <th>Lumi %</th>\n",
|
||||||
|
" <th>TDCR</th>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </thead>\n",
|
||||||
|
" <tbody>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>0</th>\n",
|
||||||
|
" <td>A01</td>\n",
|
||||||
|
" <td>blank</td>\n",
|
||||||
|
" <td>68.34</td>\n",
|
||||||
|
" <td>NaN</td>\n",
|
||||||
|
" <td>NaN</td>\n",
|
||||||
|
" <td>NaN</td>\n",
|
||||||
|
" <td>7.653</td>\n",
|
||||||
|
" <td>4.039</td>\n",
|
||||||
|
" <td>0.278</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>1</th>\n",
|
||||||
|
" <td>A02</td>\n",
|
||||||
|
" <td>Tc stock 10e-4M</td>\n",
|
||||||
|
" <td>65636.10</td>\n",
|
||||||
|
" <td>0.975</td>\n",
|
||||||
|
" <td>67331.40</td>\n",
|
||||||
|
" <td>1122.190</td>\n",
|
||||||
|
" <td>0.252</td>\n",
|
||||||
|
" <td>0.019</td>\n",
|
||||||
|
" <td>0.972</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>2</th>\n",
|
||||||
|
" <td>A03</td>\n",
|
||||||
|
" <td>Tc_sid_20min_4a</td>\n",
|
||||||
|
" <td>7069.88</td>\n",
|
||||||
|
" <td>0.975</td>\n",
|
||||||
|
" <td>7250.55</td>\n",
|
||||||
|
" <td>120.842</td>\n",
|
||||||
|
" <td>0.751</td>\n",
|
||||||
|
" <td>0.073</td>\n",
|
||||||
|
" <td>0.972</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>3</th>\n",
|
||||||
|
" <td>A04</td>\n",
|
||||||
|
" <td>Tc_sid_20min_5a</td>\n",
|
||||||
|
" <td>7887.32</td>\n",
|
||||||
|
" <td>0.977</td>\n",
|
||||||
|
" <td>8075.90</td>\n",
|
||||||
|
" <td>134.598</td>\n",
|
||||||
|
" <td>0.711</td>\n",
|
||||||
|
" <td>0.069</td>\n",
|
||||||
|
" <td>0.974</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>4</th>\n",
|
||||||
|
" <td>A05</td>\n",
|
||||||
|
" <td>Tc_sid_20min_6a</td>\n",
|
||||||
|
" <td>-17.61</td>\n",
|
||||||
|
" <td>0.802</td>\n",
|
||||||
|
" <td>0.00</td>\n",
|
||||||
|
" <td>0.000</td>\n",
|
||||||
|
" <td>8.882</td>\n",
|
||||||
|
" <td>6.663</td>\n",
|
||||||
|
" <td>0.757</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </tbody>\n",
|
||||||
|
"</table>\n",
|
||||||
|
"</div>"
|
||||||
|
],
|
||||||
|
"text/plain": [
|
||||||
|
" Position Sample_ID CPM Efficiency DPM im Vial Bq im Vial \\\n",
|
||||||
|
"0 A01 blank 68.34 NaN NaN NaN \n",
|
||||||
|
"1 A02 Tc stock 10e-4M 65636.10 0.975 67331.40 1122.190 \n",
|
||||||
|
"2 A03 Tc_sid_20min_4a 7069.88 0.975 7250.55 120.842 \n",
|
||||||
|
"3 A04 Tc_sid_20min_5a 7887.32 0.977 8075.90 134.598 \n",
|
||||||
|
"4 A05 Tc_sid_20min_6a -17.61 0.802 0.00 0.000 \n",
|
||||||
|
"\n",
|
||||||
|
" Error 2S% Lumi % TDCR \n",
|
||||||
|
"0 7.653 4.039 0.278 \n",
|
||||||
|
"1 0.252 0.019 0.972 \n",
|
||||||
|
"2 0.751 0.073 0.972 \n",
|
||||||
|
"3 0.711 0.069 0.974 \n",
|
||||||
|
"4 8.882 6.663 0.757 "
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 42,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"LSC_raw_data_part1 = pd.read_excel(\"Tc pH assay siderite.xlsx\", sheet_name=\"LSC raw data\", nrows=14)\n",
|
||||||
|
"LSC_raw_data_part1.head()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "09585c9a",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"The second table starts at 18th row, so I had to skip some rows and also the column A for table 2 is empty, so I did the `usecols` range"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 43,
|
||||||
|
"id": "ba4cf093",
|
||||||
|
"metadata": {},
|
||||||
|
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|
||||||
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
" </tr>\n",
|
||||||
|
" </thead>\n",
|
||||||
|
" <tbody>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>0</th>\n",
|
||||||
|
" <td>Sample_ID</td>\n",
|
||||||
|
" <td>CPM</td>\n",
|
||||||
|
" <td>Efficiency</td>\n",
|
||||||
|
" <td>DPM im Vial</td>\n",
|
||||||
|
" <td>LSC, mL</td>\n",
|
||||||
|
" <td>Tc aliquot, mL</td>\n",
|
||||||
|
" <td>Vial, Bq/ml</td>\n",
|
||||||
|
" <td>Sample, Bq/ml</td>\n",
|
||||||
|
" <td>Sample [99Tc], mM</td>\n",
|
||||||
|
" <td>Sample [99Tc], mM</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>1</th>\n",
|
||||||
|
" <td>Tc stock 10e-4M</td>\n",
|
||||||
|
" <td>65636.1</td>\n",
|
||||||
|
" <td>0.975</td>\n",
|
||||||
|
" <td>67331.4</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" <td>0.2</td>\n",
|
||||||
|
" <td>215.805769</td>\n",
|
||||||
|
" <td>5610.95</td>\n",
|
||||||
|
" <td>0.089547</td>\n",
|
||||||
|
" <td>0.00009</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </tbody>\n",
|
||||||
|
"</table>\n",
|
||||||
|
"</div>"
|
||||||
|
],
|
||||||
|
"text/plain": [
|
||||||
|
" Unnamed: 1 Unnamed: 2 Unnamed: 3 Unnamed: 4 Unnamed: 5 \\\n",
|
||||||
|
"0 Sample_ID CPM Efficiency DPM im Vial LSC, mL \n",
|
||||||
|
"1 Tc stock 10e-4M 65636.1 0.975 67331.4 5 \n",
|
||||||
|
"\n",
|
||||||
|
" Unnamed: 6 Unnamed: 7 Unnamed: 8 Unnamed: 9 \\\n",
|
||||||
|
"0 Tc aliquot, mL Vial, Bq/ml Sample, Bq/ml Sample [99Tc], mM \n",
|
||||||
|
"1 0.2 215.805769 5610.95 0.089547 \n",
|
||||||
|
"\n",
|
||||||
|
" Unnamed: 10 \n",
|
||||||
|
"0 Sample [99Tc], mM \n",
|
||||||
|
"1 0.00009 "
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 43,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"LSC_raw_data_part2 = pd.read_excel(\"Tc pH assay siderite.xlsx\", sheet_name=\"LSC raw data\",skiprows=16, usecols=\"B:K\")\n",
|
||||||
|
"LSC_raw_data_part2.head()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "9f781886",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"### LSC data"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 49,
|
||||||
|
"id": "0849ddc0",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"@dataclass\n",
|
||||||
|
"class LSC_data:\n",
|
||||||
|
" description: str\n",
|
||||||
|
" measured_date: date\n",
|
||||||
|
" data_blank: pd.DataFrame = None\n",
|
||||||
|
" data_stock: pd.DataFrame = None\n",
|
||||||
|
" data_20min: pd.DataFrame = None"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 50,
|
||||||
|
"id": "28c3d5a6",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"LSC_data_TC_11_03_26 = LSC_data(\n",
|
||||||
|
" description=\"1E-5 M Tc with 1.3 g/L of siderite, after 30 min\",\n",
|
||||||
|
" measured_date=datetime.strptime(\"11.03.2026\", \"%d.%m.%Y\").date(),\n",
|
||||||
|
")"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 51,
|
||||||
|
"id": "d6ee04cb",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
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|
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|
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|
||||||
|
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||||||
|
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|
||||||
|
" }\n",
|
||||||
|
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|
||||||
|
"<table border=\"1\" class=\"dataframe\">\n",
|
||||||
|
" <thead>\n",
|
||||||
|
" <tr style=\"text-align: right;\">\n",
|
||||||
|
" <th></th>\n",
|
||||||
|
" <th>Positions</th>\n",
|
||||||
|
" <th>Sample ID</th>\n",
|
||||||
|
" <th>cpm</th>\n",
|
||||||
|
" <th>LSC, mL</th>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </thead>\n",
|
||||||
|
" <tbody>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>0</th>\n",
|
||||||
|
" <td>A01</td>\n",
|
||||||
|
" <td>blank</td>\n",
|
||||||
|
" <td>68.34</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </tbody>\n",
|
||||||
|
"</table>\n",
|
||||||
|
"</div>"
|
||||||
|
],
|
||||||
|
"text/plain": [
|
||||||
|
" Positions Sample ID cpm LSC, mL\n",
|
||||||
|
"0 A01 blank 68.34 5"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 51,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"LSC_data_TC_11_03_26.data_blank = pd.read_excel(\"Tc pH assay siderite.xlsx\", sheet_name=\"LSC data\",nrows=1, skiprows=4, usecols=\"A:C, F\")\n",
|
||||||
|
"LSC_data_TC_11_03_26.data_blank"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 67,
|
||||||
|
"id": "64965457",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/html": [
|
||||||
|
"<div>\n",
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||||||
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||||||
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|
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|
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||||||
|
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|
||||||
|
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|
||||||
|
" text-align: right;\n",
|
||||||
|
" }\n",
|
||||||
|
"</style>\n",
|
||||||
|
"<table border=\"1\" class=\"dataframe\">\n",
|
||||||
|
" <thead>\n",
|
||||||
|
" <tr style=\"text-align: right;\">\n",
|
||||||
|
" <th></th>\n",
|
||||||
|
" <th>Positions</th>\n",
|
||||||
|
" <th>Sample ID</th>\n",
|
||||||
|
" <th>cpm</th>\n",
|
||||||
|
" <th>Efficiency</th>\n",
|
||||||
|
" <th>DPM in vial</th>\n",
|
||||||
|
" <th>LSC, mL</th>\n",
|
||||||
|
" <th>Tc aliquot, mL</th>\n",
|
||||||
|
" <th>Vial, Bq/ml</th>\n",
|
||||||
|
" <th>Sample, Bq/ml</th>\n",
|
||||||
|
" <th>Sample [99Tc], M</th>\n",
|
||||||
|
" <th>LSC waste, Bq/mL</th>\n",
|
||||||
|
" <th>Bq, solid waste</th>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </thead>\n",
|
||||||
|
" <tbody>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>0</th>\n",
|
||||||
|
" <td>A02</td>\n",
|
||||||
|
" <td>Tc stock 10e-4M</td>\n",
|
||||||
|
" <td>65636.1</td>\n",
|
||||||
|
" <td>0.975</td>\n",
|
||||||
|
" <td>67331.4</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" <td>0.2</td>\n",
|
||||||
|
" <td>215.805769</td>\n",
|
||||||
|
" <td>5610.95</td>\n",
|
||||||
|
" <td>0.00009</td>\n",
|
||||||
|
" <td>215.805769</td>\n",
|
||||||
|
" <td>28054.75</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </tbody>\n",
|
||||||
|
"</table>\n",
|
||||||
|
"</div>"
|
||||||
|
],
|
||||||
|
"text/plain": [
|
||||||
|
" Positions Sample ID cpm Efficiency DPM in vial LSC, mL \\\n",
|
||||||
|
"0 A02 Tc stock 10e-4M 65636.1 0.975 67331.4 5 \n",
|
||||||
|
"\n",
|
||||||
|
" Tc aliquot, mL Vial, Bq/ml Sample, Bq/ml Sample [99Tc], M \\\n",
|
||||||
|
"0 0.2 215.805769 5610.95 0.00009 \n",
|
||||||
|
"\n",
|
||||||
|
" LSC waste, Bq/mL Bq, solid waste \n",
|
||||||
|
"0 215.805769 28054.75 "
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 67,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"LSC_data_TC_11_03_26.data_stock = pd.read_excel(\"Tc pH assay siderite.xlsx\", sheet_name=\"LSC data\", skiprows=[0,1,2,3,5], nrows=1)\n",
|
||||||
|
"LSC_data_TC_11_03_26.data_stock"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 71,
|
||||||
|
"id": "6a867236",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/html": [
|
||||||
|
"<div>\n",
|
||||||
|
"<style scoped>\n",
|
||||||
|
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|
||||||
|
" vertical-align: middle;\n",
|
||||||
|
" }\n",
|
||||||
|
"\n",
|
||||||
|
" .dataframe tbody tr th {\n",
|
||||||
|
" vertical-align: top;\n",
|
||||||
|
" }\n",
|
||||||
|
"\n",
|
||||||
|
" .dataframe thead th {\n",
|
||||||
|
" text-align: right;\n",
|
||||||
|
" }\n",
|
||||||
|
"</style>\n",
|
||||||
|
"<table border=\"1\" class=\"dataframe\">\n",
|
||||||
|
" <thead>\n",
|
||||||
|
" <tr style=\"text-align: right;\">\n",
|
||||||
|
" <th></th>\n",
|
||||||
|
" <th>Positions</th>\n",
|
||||||
|
" <th>Sample ID</th>\n",
|
||||||
|
" <th>cpm</th>\n",
|
||||||
|
" <th>Efficiency</th>\n",
|
||||||
|
" <th>DPM in vial</th>\n",
|
||||||
|
" <th>LSC, mL</th>\n",
|
||||||
|
" <th>Tc aliquot, mL</th>\n",
|
||||||
|
" <th>Vial, Bq/ml</th>\n",
|
||||||
|
" <th>Sample, Bq/ml</th>\n",
|
||||||
|
" <th>Sample [99Tc], M</th>\n",
|
||||||
|
" <th>LSC waste, Bq/mL</th>\n",
|
||||||
|
" <th>Bq, solid waste</th>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </thead>\n",
|
||||||
|
" <tbody>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>0</th>\n",
|
||||||
|
" <td>A03</td>\n",
|
||||||
|
" <td>Tc_sid_20min_4a</td>\n",
|
||||||
|
" <td>7069.88</td>\n",
|
||||||
|
" <td>0.975</td>\n",
|
||||||
|
" <td>7250.550</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" <td>0.2</td>\n",
|
||||||
|
" <td>23.238942</td>\n",
|
||||||
|
" <td>604.212500</td>\n",
|
||||||
|
" <td>9.642853e-06</td>\n",
|
||||||
|
" <td>23.238942</td>\n",
|
||||||
|
" <td>-215.587500</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>1</th>\n",
|
||||||
|
" <td>A04</td>\n",
|
||||||
|
" <td>Tc_sid_20min_5a</td>\n",
|
||||||
|
" <td>7887.32</td>\n",
|
||||||
|
" <td>0.977</td>\n",
|
||||||
|
" <td>8075.900</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" <td>0.2</td>\n",
|
||||||
|
" <td>25.884295</td>\n",
|
||||||
|
" <td>672.991667</td>\n",
|
||||||
|
" <td>1.074053e-05</td>\n",
|
||||||
|
" <td>25.884295</td>\n",
|
||||||
|
" <td>-559.483333</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>2</th>\n",
|
||||||
|
" <td>A05</td>\n",
|
||||||
|
" <td>Tc_sid_20min_6a</td>\n",
|
||||||
|
" <td>-17.61</td>\n",
|
||||||
|
" <td>0.802</td>\n",
|
||||||
|
" <td>0.000</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" <td>0.2</td>\n",
|
||||||
|
" <td>0.000000</td>\n",
|
||||||
|
" <td>0.000000</td>\n",
|
||||||
|
" <td>0.000000e+00</td>\n",
|
||||||
|
" <td>0.000000</td>\n",
|
||||||
|
" <td>2805.475000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>3</th>\n",
|
||||||
|
" <td>A06</td>\n",
|
||||||
|
" <td>Tc_sid_20min_6b</td>\n",
|
||||||
|
" <td>1760.91</td>\n",
|
||||||
|
" <td>0.970</td>\n",
|
||||||
|
" <td>1814.950</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" <td>0.2</td>\n",
|
||||||
|
" <td>5.817147</td>\n",
|
||||||
|
" <td>151.245833</td>\n",
|
||||||
|
" <td>2.413789e-06</td>\n",
|
||||||
|
" <td>5.817147</td>\n",
|
||||||
|
" <td>2049.245833</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>4</th>\n",
|
||||||
|
" <td>B01</td>\n",
|
||||||
|
" <td>Tc_sid_20min_8a</td>\n",
|
||||||
|
" <td>93.14</td>\n",
|
||||||
|
" <td>0.886</td>\n",
|
||||||
|
" <td>105.150</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" <td>0.2</td>\n",
|
||||||
|
" <td>0.337019</td>\n",
|
||||||
|
" <td>8.762500</td>\n",
|
||||||
|
" <td>1.398440e-07</td>\n",
|
||||||
|
" <td>0.337019</td>\n",
|
||||||
|
" <td>2761.662500</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>5</th>\n",
|
||||||
|
" <td>B02</td>\n",
|
||||||
|
" <td>Tc_sid_20min_8b</td>\n",
|
||||||
|
" <td>425.42</td>\n",
|
||||||
|
" <td>0.900</td>\n",
|
||||||
|
" <td>472.848</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" <td>0.2</td>\n",
|
||||||
|
" <td>1.515538</td>\n",
|
||||||
|
" <td>39.404000</td>\n",
|
||||||
|
" <td>6.288632e-07</td>\n",
|
||||||
|
" <td>1.515538</td>\n",
|
||||||
|
" <td>2608.455000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>6</th>\n",
|
||||||
|
" <td>B03</td>\n",
|
||||||
|
" <td>Tc_sid_20min_10a</td>\n",
|
||||||
|
" <td>64.61</td>\n",
|
||||||
|
" <td>0.918</td>\n",
|
||||||
|
" <td>70.412</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" <td>0.2</td>\n",
|
||||||
|
" <td>0.225679</td>\n",
|
||||||
|
" <td>5.867667</td>\n",
|
||||||
|
" <td>9.364429e-08</td>\n",
|
||||||
|
" <td>0.225679</td>\n",
|
||||||
|
" <td>2776.136667</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>7</th>\n",
|
||||||
|
" <td>B04</td>\n",
|
||||||
|
" <td>Tc_sid_20min_10b</td>\n",
|
||||||
|
" <td>-38.33</td>\n",
|
||||||
|
" <td>0.791</td>\n",
|
||||||
|
" <td>0.000</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" <td>0.2</td>\n",
|
||||||
|
" <td>0.000000</td>\n",
|
||||||
|
" <td>0.000000</td>\n",
|
||||||
|
" <td>0.000000e+00</td>\n",
|
||||||
|
" <td>0.000000</td>\n",
|
||||||
|
" <td>2805.475000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>8</th>\n",
|
||||||
|
" <td>B05</td>\n",
|
||||||
|
" <td>Tc_sid_20min_12a</td>\n",
|
||||||
|
" <td>205.38</td>\n",
|
||||||
|
" <td>0.930</td>\n",
|
||||||
|
" <td>220.944</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" <td>0.2</td>\n",
|
||||||
|
" <td>0.708154</td>\n",
|
||||||
|
" <td>18.412000</td>\n",
|
||||||
|
" <td>2.938440e-07</td>\n",
|
||||||
|
" <td>0.708154</td>\n",
|
||||||
|
" <td>2713.415000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>9</th>\n",
|
||||||
|
" <td>B06</td>\n",
|
||||||
|
" <td>Tc_sid_20min_12b</td>\n",
|
||||||
|
" <td>-30.53</td>\n",
|
||||||
|
" <td>0.782</td>\n",
|
||||||
|
" <td>0.000</td>\n",
|
||||||
|
" <td>5</td>\n",
|
||||||
|
" <td>0.2</td>\n",
|
||||||
|
" <td>0.000000</td>\n",
|
||||||
|
" <td>0.000000</td>\n",
|
||||||
|
" <td>0.000000e+00</td>\n",
|
||||||
|
" <td>0.000000</td>\n",
|
||||||
|
" <td>2805.475000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </tbody>\n",
|
||||||
|
"</table>\n",
|
||||||
|
"</div>"
|
||||||
|
],
|
||||||
|
"text/plain": [
|
||||||
|
" Positions Sample ID cpm Efficiency DPM in vial LSC, mL \\\n",
|
||||||
|
"0 A03 Tc_sid_20min_4a 7069.88 0.975 7250.550 5 \n",
|
||||||
|
"1 A04 Tc_sid_20min_5a 7887.32 0.977 8075.900 5 \n",
|
||||||
|
"2 A05 Tc_sid_20min_6a -17.61 0.802 0.000 5 \n",
|
||||||
|
"3 A06 Tc_sid_20min_6b 1760.91 0.970 1814.950 5 \n",
|
||||||
|
"4 B01 Tc_sid_20min_8a 93.14 0.886 105.150 5 \n",
|
||||||
|
"5 B02 Tc_sid_20min_8b 425.42 0.900 472.848 5 \n",
|
||||||
|
"6 B03 Tc_sid_20min_10a 64.61 0.918 70.412 5 \n",
|
||||||
|
"7 B04 Tc_sid_20min_10b -38.33 0.791 0.000 5 \n",
|
||||||
|
"8 B05 Tc_sid_20min_12a 205.38 0.930 220.944 5 \n",
|
||||||
|
"9 B06 Tc_sid_20min_12b -30.53 0.782 0.000 5 \n",
|
||||||
|
"\n",
|
||||||
|
" Tc aliquot, mL Vial, Bq/ml Sample, Bq/ml Sample [99Tc], M \\\n",
|
||||||
|
"0 0.2 23.238942 604.212500 9.642853e-06 \n",
|
||||||
|
"1 0.2 25.884295 672.991667 1.074053e-05 \n",
|
||||||
|
"2 0.2 0.000000 0.000000 0.000000e+00 \n",
|
||||||
|
"3 0.2 5.817147 151.245833 2.413789e-06 \n",
|
||||||
|
"4 0.2 0.337019 8.762500 1.398440e-07 \n",
|
||||||
|
"5 0.2 1.515538 39.404000 6.288632e-07 \n",
|
||||||
|
"6 0.2 0.225679 5.867667 9.364429e-08 \n",
|
||||||
|
"7 0.2 0.000000 0.000000 0.000000e+00 \n",
|
||||||
|
"8 0.2 0.708154 18.412000 2.938440e-07 \n",
|
||||||
|
"9 0.2 0.000000 0.000000 0.000000e+00 \n",
|
||||||
|
"\n",
|
||||||
|
" LSC waste, Bq/mL Bq, solid waste \n",
|
||||||
|
"0 23.238942 -215.587500 \n",
|
||||||
|
"1 25.884295 -559.483333 \n",
|
||||||
|
"2 0.000000 2805.475000 \n",
|
||||||
|
"3 5.817147 2049.245833 \n",
|
||||||
|
"4 0.337019 2761.662500 \n",
|
||||||
|
"5 1.515538 2608.455000 \n",
|
||||||
|
"6 0.225679 2776.136667 \n",
|
||||||
|
"7 0.000000 2805.475000 \n",
|
||||||
|
"8 0.708154 2713.415000 \n",
|
||||||
|
"9 0.000000 2805.475000 "
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 71,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"LSC_data_TC_11_03_26.data_20min = pd.read_excel(\"Tc pH assay siderite.xlsx\", sheet_name=\"LSC data\",skiprows=[0,1,2,3,5,6], nrows=10)\n",
|
||||||
|
"LSC_data_TC_11_03_26.data_20min"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 73,
|
||||||
|
"id": "ca670fd3",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/plain": [
|
||||||
|
"LSC waste, Bq/mL 57.726776\n",
|
||||||
|
"Bq, solid waste 20550.269167\n",
|
||||||
|
"dtype: float64"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 73,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"LSC_data_TC_11_03_26.data_20min[[\"LSC waste, Bq/mL\", \"Bq, solid waste\"]].sum()\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "d01c706b",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"# Step 2: Do data anal"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "0bb6ad81",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "d658c450",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"# Step 3: Plot the data"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "venv",
|
||||||
|
"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": "3.14.3"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 5
|
||||||
|
}
|
||||||
2
requirements.txt
Normal file
2
requirements.txt
Normal file
@@ -0,0 +1,2 @@
|
|||||||
|
pandas
|
||||||
|
openpyxl
|
||||||
Reference in New Issue
Block a user