Python Data Visualization

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

Curated by SkillMD 12 skills 6 authors

Skills in this plugin

12
  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