Pipe Operator Guide

Pipe Operator Guide

Mastering the functional style of PipePlotly.

"Pipe to" Philosophy

The >> operator in PipePlotly represents a flow of data.

• df >> Plot(): Take the DataFrame and pipe it to a Plot object.
• >> plot_points(): And then apply a scatter geometry.
• >> show(): And then display the result.

Why use Pipes?

1. Readability: Code flows from left-to-right, matching how we think about analysis.
2. Minimal Boilerplate: No need to assign intermediate variables.
3. Pipeline Integration: Works perfectly with pipeframe for end-to-end data pipelines.

Example Workflow

(df 
 >> Plot() 
 >> plot_lines('year', 'sales') 
 >> add_color('region') 
 >> scale_y_log() 
 >> show())

See API-Reference for more verbs.