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Python Data Visualization

curated by SkillMD · plugin · 12 skills

For data scientists to create static and interactive plots using Python libraries.

Install the whole plugin (CLI)
npx skillmds add antigravity/matplotlib npx skillmds add antigravity/seaborn npx skillmds add antigravity/plotly npx skillmds add k-dense-ai/seaborn npx skillmds add k-dense-ai/matplotlib npx skillmds add k-dense-ai/scientific-visualization npx skillmds add lingxling/plotly npx skillmds add lingxling/seaborn npx skillmds add leandrobenjaminl/data-visualization npx skillmds add nimoqup046-collab/plotly npx skillmds add nimoqup046-collab/seaborn npx skillmds add jorcan/plotly
⬇ Download

Skills in this plugin

  1. ▌
    matplotlib · antigravity
    Create static, animated, and interactive plots using Python's foundational visualization library, with guidance on both pyplot and object-oriented APIs.
    42.4k
    repo stars
  2. ▌
    seaborn · antigravity
    Create publication-quality statistical graphics from tabular datasets with minimal code, supporting multivariate analysis, statistical estimation, and complex multi-panel figures.
    42.4k
    repo stars
  3. ▌
    plotly · antigravity
    Create interactive, publication-quality visualizations with 40+ chart types, including scatter, bar, line, 3D, maps, and financial charts, with support for hover, zoom, pan, subplots, and export to HTML or static images.
    42.4k
    repo stars
  4. ▌
    seaborn · k-dense-ai bundle
    Create publication-quality statistical graphics with dataset-oriented plotting, multivariate analysis, and automatic statistical estimation using minimal code.
    30.2k
    repo stars
  5. ▌
    matplotlib · k-dense-ai bundle
    Create publication-quality static, animated, and interactive plots with fine-grained control over every element using Matplotlib's pyplot and object-oriented APIs.
    30.2k
    repo stars
  6. ▌
    scientific-visualization · k-dense-ai bundle
    Create publication-ready scientific figures with multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and journal-specific formatting using matplotlib, seaborn, and plotly.
    30.2k
    repo stars
  7. ▌
    plotly · lingxling bundle
    Creates interactive, publication-quality charts with 40+ types, hover tooltips, zoom, and web-embeddable exports for dashboards and exploratory analysis.
    253
    repo stars
  8. ▌
    seaborn · lingxling bundle
    Create publication-quality statistical graphics in Python with seaborn, covering relational, distribution, and categorical plots with pandas integration.
    253
    repo stars
  9. ▌
    data-visualization · leandrobenjaminl bundle
    Crea gráficos profesionales con Matplotlib, Seaborn y Plotly, desde exploración rápida hasta visualizaciones publicables, eligiendo el tipo de gráfico adecuado para cada historia de datos.
    0
    repo stars
  10. ▌
    plotly · nimoqup046-collab
    Creates interactive, publication-quality visualizations in Python with 40+ chart types, including scatter, bar, heatmap, 3D, and financial charts, plus subplots, styling, and export to HTML or static images.
    2
    repo stars
  11. ▌
    seaborn · nimoqup046-collab
    Create publication-quality statistical graphics in Python with dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and multi-panel figures.
    2
    repo stars
  12. ▌
    plotly · jorcan bundle
    Creates interactive, publication-quality charts with hover, zoom, and pan, plus static exports and Dash integration.
    0
    repo stars