{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/4"}],"enrichment":{"capability":"LovelyPlots provides matplotlib style sheets that format scientific plots for papers, theses, and presentations while keeping them editable in Adobe Illustrator and compatible with LaTeX documents.","skillfed_tags":["matplotlib-styling","academic-publishing","scientific-visualization"],"use_cases":["Format plots for inclusion in academic papers or thesis documents with consistent styling across all figures.","Create publication-ready plots that remain fully editable in Adobe Illustrator for final design adjustments.","Generate SVG figures that automatically inherit fonts from LaTeX documents when imported.","Apply color-blind-safe color cycles to ensure accessibility across scientific visualizations.","Quickly switch between multiple predefined styles (e.g., combining 'ipynb' with 'colorsblind34') for different output contexts."],"what_it_does":"LovelyPlots is a collection of matplotlib style sheets designed to produce publication-quality scientific figures. It installs predefined .mplstyle files into matplotlib's configuration directory, allowing you to apply consistent formatting across plots with a single line of code. The main 'ipynb' style sets figure dimensions, enables scientific notation, and configures output for Adobe Illustrator editability.\n\nThe package is particularly useful for academic writing: it includes color-blind-safe palettes, line styles, markers, and colormaps, plus utilities for font customization and retina display support. A key feature is SVG export without embedded fonts, allowing figures imported into LaTeX documents to automatically adopt the document's native font without manual editing.","worth_installing":"Yes, if you regularly produce scientific plots for papers or theses. The package is low-friction to install and solves a real workflow problem\u2014consistent, publication-ready formatting with LaTeX and Adobe Illustrator compatibility. However, note the dormant maintenance status: the last release was 891 days ago, so verify compatibility with your current matplotlib version before relying on it for critical work."},"id":"lovelyplots","links":{"html":"https://skillfed.io/packages/lovelyplots","md":"https://skillfed.io/packages/lovelyplots.md","pypi":"https://pypi.org/project/lovelyplots/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-03-06","license_spdx":null,"license_treatment":"permissive","name":"lovelyplots","python_support":"unspecified","summary":"Format Matplotlib Plots for thesis, scientific papers and reports."},"popularity":{"monthly_downloads":522711,"position":6201,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.2"}