Arc Diagram
Draw an arc diagram from named DataFrame edge columns (#743).
Usage
from dataviz import arc_diagram
from dataviz import save
def main() raises:
# Illustrative calls between services during a checkout request.
# Edge weights are average calls per minute at peak traffic.
var caller: List[String] = [
"Gateway", "Gateway", "Checkout", "Checkout", "Checkout",
"Catalog", "Catalog", "Payments", "Orders", "Orders",
"Identity", "Notifications",
]
var dependency: List[String] = [
"Identity", "Catalog", "Identity", "Catalog", "Payments",
"Inventory", "Search", "Fraud", "Inventory", "Notifications",
"Fraud", "Identity",
]
var calls_per_minute: List[Float64] = [
820.0, 760.0, 410.0, 395.0, 370.0, 640.0,
510.0, 350.0, 330.0, 290.0, 180.0, 120.0,
]
var c = arc_diagram(
caller,
dependency,
calls_per_minute,
title="Illustrative Checkout Service Dependencies",
)
save(c, "docs/src/examples/out_arc_diagram.svg")See Data shapes for shared input conventions.
Args:
df: The frame containing one row per edge.from_categories: Source node column.to_categories: Destination node column.values: Edge magnitude column.theme: Plot styling and missing-value policy.width: Plot width in pixels.height: Plot height in pixels.title: Chart title.subtitle: Secondary title.x_title: Horizontal axis title.y_title: Vertical axis title.
Related
Relevant API: arc_diagram