⌗ Dataframes.
⌗⌗ Paired Dataframes.
💾 General Input/Output.
⬤⬤ Sets.
🔤 Strings encoding/decoding.
🗃 File paths Input/Output.
🏷 Classification.
✨ Clustering.
✨ Correlations.
✨ Differences.
📈 Data fitting.
📊 Data normalization.
⬤⬤ Comparison between sets.
📈🔖Annotating visualisations.
🔧 Subplot-level adjustments.
📈 Diagrams.
📈 Distribution plots.
📈 Wrapper around Series plotting functions.
📈📈Annotating figure.
📈💾 Visualizations Input/Output.
📈 Line plots.
📈 Scatter plots.
📈⬤⬤ Plots of sets.
📈🎨✨ Visualizations theming.
⚙️🗺️ Reading multiple configs.
⚙️⏩ Running multiple tasks.
⚙️⏩ Workflow using notebooks
Requires the workflow extra (see Installation).
ℹ️ Available command line tools and their usage.
roux --help
🗺️ Read configuration.
roux read-config path/to/file
🗺️ Read metadata.
roux read-metadata path/to/file
⭐ Replace * imports in a jupyter notebook with explicit imports.
roux replacestar path/to/notebook
💾 Archive a directory to a .tar.gz (
roux to-arxv path/to/directory
Using uv (recommended):
uv add roux # with basic dependencies
uv add "roux[all]" # with all the additional dependencies (recommended).
With additional dependencies as required:
uv add "roux[viz]" # for visualizations e.g. altair, upsetplot etc.
uv add "roux[data]" # for data operations e.g. reading excel files etc.
uv add "roux[stat]" # for statistics e.g. statsmodels etc.
uv add "roux[fast]" # for faster processing e.g. parallelization etc.
uv add "roux[workflow]" # for workflow operations and the `roux` CLI e.g. omegaconf etc.
Outside a uv project, use uv pip install "roux[all]", or uv tool install "roux[workflow]" for only the CLI.
Plain pip works too: pip install "roux[all]".
For development:
uv sync --all-extras # all extras + the dev group
@software{Dandage_roux,
title = {roux: Streamlined and Versatile Data Processing Toolkit},
author = {Dandage, Rohan},
year = {2024},
url = {https://zenodo.org/doi/10.5281/zenodo.2682670},
version = {0.1.2},
note = {The URL is a DOI link to the permanent archive of the software.},
}