Visualization¶
Interactive pipeline visualization for SignalFlow.
Module
signalflow.viz — Available as sf.viz.pipeline(), sf.viz.features(), sf.viz.serve().
Quick Example¶
import signalflow as sf
# Build a backtest pipeline
builder = (
sf.Backtest("my_strategy")
.data(raw=raw_data)
.detector("example/sma_cross", fast_period=20, slow_period=50)
.exit(tp=0.03, sl=0.015)
)
# Interactive HTML visualization
sf.viz.pipeline(builder)
# Mermaid diagram (for docs)
mermaid_code = sf.viz.pipeline(builder, format="mermaid", show=False)
# Local development server
sf.viz.serve(builder, port=4141)
Functions¶
sf.viz.pipeline(builder, format="html", show=True)¶
Generate an interactive flow visualization of the pipeline.
Parameters:
builder— ABacktestorFlowBuilderinstanceformat— Output format:"html"(D3.js interactive) or"mermaid"(text diagram)show— Open in browser automatically (default:True)
Returns: HTML string or Mermaid code when show=False
sf.viz.features(pipeline, df)¶
Visualize feature distributions and correlations.
Parameters:
pipeline— AFeaturePipelineinstancedf— DataFrame with computed features
sf.viz.data_flow(builder)¶
Visualize data flow through the pipeline nodes.
Parameters:
builder— ABacktestorFlowBuilderinstance
sf.viz.serve(builder, port=4141)¶
Launch a local development server with live-reloading visualization.
Parameters:
builder— ABacktestorFlowBuilderinstanceport— Local server port (default:4141)