Add regression model plot

src/ai_dashboard/plot_plugin/regression_line.py

@@ -0,0 +1,79 @@
+"""Regression Plot plugin for AI-Dashboard"""
+
+from typing import Any, List
+import logging
+
+import plotly.express as px
+from dash import html, dcc
+from dash.dependencies import Input, Output
+
+from ..base import BasePlotPlugin
+
+logger = logging.getLogger(__name__)
+
+
+class RegressionPlotPlugin(BasePlotPlugin):
+    """Scatter + regression line plot plugin."""
+
+    name = "Regression Plot"
+
+    def dropdown(self, axis: str, label: str, options: List[str]) -> Any:
+        """Create a dropdown control for the given axis."""
+        return html.Div(
+            [
+                html.Label(label),
+                dcc.Dropdown(
+                    id={"type": "control", "plot": self.name, "axis": axis},
+                    options=[{"label": c, "value": c} for c in options],  # type: ignore
+                    value=options[0],
+                    clearable=False,
+                    persistence=True,
+                ),
+            ],
+            style={"width": "200px", "marginBottom": "10px"},
+        )
+
+    def controls(self) -> Any:
+        """Render the control panel for the plot."""
+        nums = self.numeric_columns()
+        cats = self.categorical_columns()
+        return html.Div(
+            [
+                self.dropdown("x", "X-Axis (numeric)", nums),
+                self.dropdown("y", "Y-Axis (numeric)", nums),
+                self.dropdown("color", "Color By", nums + cats),
+            ],
+            style={"display": "flex", "flexDirection": "column"},
+        )
+
+    def render(self, **kwargs: Any) -> Any:
+        """Render the regression plot based on selected axes."""
+        x = kwargs.get("x_axis")
+        y = kwargs.get("y_axis")
+        color = kwargs.get("color_axis")
+
+        fig = px.scatter(
+            self.dataframe,
+            x=x,
+            y=y,
+            color=color if color in self.dataframe.columns else None,
+            trendline="ols",
+        )
+        return dcc.Graph(figure=fig)
+
+    def register_callbacks(self, app: Any) -> None:
+        """Register the callbacks for interactivity."""
+
+        @app.callback(  # type: ignore
+            Output({"type": "plot-output", "plot": self.name}, "children"),
+            Input({"type": "control", "plot": self.name, "axis": "x"}, "value"),
+            Input({"type": "control", "plot": self.name, "axis": "y"}, "value"),
+            Input({"type": "control", "plot": self.name, "axis": "color"}, "value"),
+        )
+        def update(x_axis: str, y_axis: str, color_axis: str) -> Any:
+            """Update the regression plot based on user selections."""
+            return self.render(
+                x_axis=x_axis,
+                y_axis=y_axis,
+                color_axis=color_axis,
+            )