PipeFrame Integration

PipeFrame Integration

PipePlotly is designed to work seamlessly with the pipeframe package for unified data engineering and visualization.

Setup

pip install pipeframe pipeplotly

Combined Pipeline Example

Wrap your DataFrame in a PipeFrame to enable lambda-based data manipulation alongside visualization.

from pipeframe import PipeFrame
from pipeplotly import Plot
from pipeplotly.verbs import *

(PipeFrame(raw_data)
 >> (lambda d: d[d['value'] > 0])      # Data cleaning step
 >> (lambda d: d.sort_values('date'))   # Transformation step
 >> Plot()                              # Switch to visualization
 >> plot_lines('date', 'value') 
 >> add_smooth()
 >> show())

This approach keeps your entire analysis logic in a single, readable block of code.