rr2graph 0.1.4

A lightweight health data analytics tool for monthly time-series visualization and distribution analysis.

📘 rr2graph — Visualize Blood Pressure, Pulse, and Weight Data

rr2graph is a lightweight command‑line tool for processing and visualizing blood pressure, pulse, and weight data stored in Excel files.
It generates monthly plots (box‑swarm, scatter, histogram, violin) and exports them automatically as PNG, PDF, and SVG.

📤 Example Output

Example visualization using scatter and box‑swarm plots:

Format: A4 Landscape (11.69 × 8.27 inch)

The CLI prints all generated files:

Heart rows read: 81
Weight rows read: 49
→ Excel file: rr_data.xlsx
→ Months: 3
→ Output folder: plots/
Generating histogram plots…
Generated histogram plots stored at:
– plots/png/(2026-02__2026-04 3 months) per month data and histogram.png
– plots/pdf/(2026-02__2026-04 3 months) per month data and histogram.pdf
– plots/svg/(2026-02__2026-04 3 months) per month data and histogram.svg
…

🚀 Installation

1. Ensure you are in the project root

   ~/your/project/directory/

2. Install using Pipenv (editable mode)

   pipenv install -e .
   

   This installs:

   • the rr2graph package (editable mode)
   • all dependencies defined in pyproject.toml

3. Optional: Development dependencies

   pipenv install -r requirements_dev.txt
   

🧰 CLI Usage

After installation, the command rr2graph becomes available.

Show help

rr2graph --help

usage: rr2graph [-h] [-e EXCEL] [-n NUM_OF_MONTHS] [-o OUTPUT] [-c CONFIG] [-v] [-g] [-i]

Reads Excel data and generates plots.

options:
  -h, --help            Show help and exit
  -e, --excel EXCEL     Path to Excel file (default: rr_data.xlsx)
  -n, --num_of_months NUM_OF_MONTHS
                        Number of months 1–6 (default: 3)
  -o, --output OUTPUT   Output folder for generated plots (default: plots/)
  -c, --config CONFIG   Optional YAML configuration file
  -v, --version         Show program version and exit
  -g, --generate-test-data
                        Generate test_rr_data.xlsx and exit
  -i, --info            Show system and configuration information

🧪 Generate Test Data

rr2graph -g

Creates:

test_rr_data.xlsx

with realistic blood pressure, pulse, and weight data.

ℹ️ System & Configuration Info

rr2graph --info

Example output:

rr2graph info
──────────────────────────────────────────────
Version:        1.1.0
Python:         3.11.15
Installed at:   /opt/homebrew/lib/python3.11/site-packages/rr2graph

Working dir:    /Users/your_user/rr2graph_test
System:         Darwin 25.3.0 (arm64)
Terminal:       utf-8

No config file found (config.yaml missing).
──────────────────────────────────────────────
Everything looks good ✓

📝 Configuration File (YAML)

Example config.yaml:

excel: "rr_data.xlsx"
num_of_months: 3
output: "plots/"

Field	Description
excel	Path to the Excel file containing RR data
num_of_months	Number of months to analyze
output	Output directory for PNG/PDF/SVG plots

Use it via:

rr2graph -c config.yaml

📊 Output Structure

Running:

rr2graph -c config.yaml

produces:

plots/
├── png/
├── pdf/
└── svg/

📁 Project Structure

/your/project/directory/

.
├── config.yaml
├── example_box_swarm.png
├── Pipfile
├── plots/
│   ├── pdf/
│   ├── png/
│   ├── svg/
│   └── test/
├── pyproject.toml
├── README.md
├── requirements.txt
├── requirements_dev.txt
├── rr_data.xlsx
├── rr2graph/
│   ├── cli.py
│   ├── helpers.py
│   ├── io.py
│   ├── layout.py
│   ├── monthly.py
│   ├── orchestrator.py
│   ├── tools/
│   │   └── bump_version.py
│   └── plots/
│       ├── box_swarm.py
│       ├── hist.py
│       ├── scatter.py
│       └── violin.py
├── test_config.yaml
├── test_rr_data.xlsx
└── tests/
    └── test_rr2graph.py

🧪 Run Tests

pipenv run pytest

🛠 Troubleshooting

❌ UnicodeDecodeError in YAML

You likely passed an Excel file as --config.

Correct:

rr2graph -c config.yaml

Incorrect:

rr2graph -c test_rr_data.xlsx

❌ CLI command not found

Reinstall:

pipenv install -e .

👨‍💻 Developer Notes

Version bumping is handled via:

make version-patch
make version-minor
make version-major

TestPyPI upload:

make publish-test

Build artifacts:

make build

Manpage installation:

make install-man
make man

📄 License

MIT (or add your preferred license here)

• Diese README.md 1:1 ins Repository kopieren
• Optional: Badges ergänzen (PyPI, CI, Coverage)
• Optional: Englische Manpage ergänzen
• Optional: Developer‑Section erweitern

Wenn du willst, kann ich dir:

• eine PyPI‑optimierte Version (mit Badges, Short Description, Keywords) erstellen
• eine GitHub‑optimierte Version (mit Sections für Issues, Contributing, Changelog)
• eine zweisprachige README (README.md + README.de.md) generieren

Sag einfach Bescheid, wie du weitermachen möchtest.