Create interactive Plotly figures from pandas DataFrames and export to HTML.
npx skills add https://github.com/Lin-Hi/DeepRead --skill plotly-lin-hi
Please help me install this Agent Skill. Skill: plotly Source: https://github.com/Lin-Hi/DeepRead/tree/main/.claude/skills/plotly Command: npx skills add https://github.com/Lin-Hi/DeepRead --skill plotly-lin-hi
Plotly turns raw numeric and categorical data into interactive, zoomable, and explorable visualizations so analysts and developers can explore patterns, present findings, and embed rich charts in web dashboards without building custom front-end code.
Create an interactive scatter plot from the pandas DataFrame df with hover tooltips for the label column, a rangeslider on the x-axis, and save it as an interactive HTML file named chart.html.
High-intent search queries and answers about installing and using this skill.
Create interactive visualizations from a pandas DataFrame using Plotly Express to generate zoomable charts with hover tooltips and pan functionality. You can quickly build scatter plots, time series, and geospatial maps that accelerate data exploration without custom front-end code.
Yes, you can export interactive charts to static images via kaleido or save them as interactive HTML files. This allows you to embed rich, explorable figures directly into presentations, reports, or web pages while retaining hover details and layout control.
Build web dashboards with interactive Python charts by integrating Plotly figures into Dash apps or exporting div snippets for Jinja2 templates. This approach embeds interactive visualizations directly into web applications without building custom front-end code.
Yes, Plotly supports subplots, animations, and custom hover templates for complex scientific figures. You can use graph_objects for fine-grained control over multi-trace figures, apply custom templates, and add annotations to create detailed interactive scientific plots.
Use Plotly Express for quick creation of interactive charts from tidy DataFrames, and use graph_objects when you need fine-grained control over complex, multi-trace figures. Plotly Express simplifies exploratory analysis, while graph_objects handles advanced layouts and subplots.
Yes, you can add a rangeslider to the x-axis of a time series chart and save it as an interactive HTML file. This provides zoomable, explorable visualizations with hover tooltips that can be embedded in web pages or shared as standalone interactive files.
lucifertrjPerform exploratory data analysis on tabular data with pandas.
Clay-HHKCreate interactive web-embeddable visualizations with Plotly Express and graph_objects.
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