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Frameworks & web · #plotly
Use Plotly make_subplots to view related charts side by side with linked axes, independent scales, and safe defaults for dense data.
Add error bars to Plotly.js scatter plots using the error_y property with array data for symmetric errors or plus/minus arrays for asymmetric uncertainties. Includes worked example, styling options, performance limits, and verification steps.
Generate publication-ready PNG, SVG, PDF, or JPEG files from Plotly figures using the Kaleido engine—no browser required. Covers installation, configuration, common rendering issues, and CI-friendly verification.
Plotly Express gets you to an interactive chart fast, but custom layouts and large datasets often require dropping into Graph Objects. Here is how to decide when to switch.
Use go.Scattergl to keep Plotly responsive with tens of thousands of points, then verify static exports before shipping.
Choosing between Plotly Express and Graph Objects: a quick guide for data analysts and developers. Learn when to use the high‑level API for rapid charts and when to switch to granular Graph Objects for custom dashboards.
Stop fighting Plotly Express arguments. Use Graph Objects to add threshold lines, custom hover metadata, and granular trace control.
Export Plotly.py figures to PNG, SVG, or PDF using Kaleido: install dependencies, run write_image, verify output, and troubleshoot headless‑environment issues.
Bind JupyterLab sliders and dropdowns to Plotly figures so charts update in place without rerunning cells or reloading the page.
python
express