Python Data Visualization
For data scientists to create static and interactive plots using Python libraries.
Skills in this plugin
12- ▌ Matplotlib · antigravityCreate static, animated, and interactive plots using Python's foundational visualization library, with guidance on both pyplot and object-oriented APIs.
- ▌ Seaborn · antigravityCreate publication-quality statistical graphics from tabular datasets with minimal code, supporting multivariate analysis, statistical estimation, and complex multi-panel figures.
- ▌ Plotly · antigravityCreate 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.
- ▌ Seaborn · k-dense-ai bundleCreate publication-quality statistical graphics with dataset-oriented plotting, multivariate analysis, and automatic statistical estimation using minimal code.
- ▌ Matplotlib · k-dense-ai bundleCreate publication-quality static, animated, and interactive plots with fine-grained control over every element using Matplotlib's pyplot and object-oriented APIs.
- ▌ Scientific Visualization · k-dense-ai bundleCreate publication-ready scientific figures with multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and journal-specific formatting using matplotlib, seaborn, and plotly.
- ▌ Plotly · lingxling bundleCreates interactive, publication-quality charts with 40+ types, hover tooltips, zoom, and web-embeddable exports for dashboards and exploratory analysis.
- ▌ Seaborn · lingxling bundleCreate publication-quality statistical graphics in Python with seaborn, covering relational, distribution, and categorical plots with pandas integration.
- ▌ Data Visualization · leandrobenjaminl bundleCrea gráficos profesionales con Matplotlib, Seaborn y Plotly, desde exploración rápida hasta visualizaciones publicables, eligiendo el tipo de gráfico adecuado para cada historia de datos.
- ▌ Plotly · nimoqup046-collabCreates 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.
- ▌ Seaborn · nimoqup046-collabCreate publication-quality statistical graphics in Python with dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and multi-panel figures.
- ▌ Plotly · jorcan bundleCreates interactive, publication-quality charts with hover, zoom, and pan, plus static exports and Dash integration.