feat: add 1D party position charts for SVD components 3-10 (Task 5)

explorer.py

@@ -1352,6 +1352,76 @@ def _render_party_axis_chart(
     st.plotly_chart(fig, use_container_width=True)
 
 
+def _render_party_axis_chart_1d(
+    party_coords: Dict[str, Tuple[float, ...]],
+    comp_sel: int,
+    theme: dict,
+) -> None:
+    """Render a 1D horizontal bar chart of party positions on SVD component `comp_sel`.
+
+    Args:
+        party_coords: Dict mapping party name to tuple of scores (score_for_comp,)
+        comp_sel: SVD component number (1-indexed)
+        theme: Dict with label, positive_pole, negative_pole, flip
+    """
+    import plotly.graph_objects as go
+
+    if not party_coords:
+        st.caption("_Partijdata niet beschikbaar voor deze as._")
+        return
+
+    # Extract scores and parties
+    parties = list(party_coords.keys())
+    scores = [coords[0] for coords in party_coords.values()]
+
+    # Apply flip if needed
+    flip = theme.get("flip", False)
+    if flip:
+        scores = [-s for s in scores]
+
+    # Get party colors
+    party_colors = [PARTY_COLOURS.get(p, "#9E9E9E") for p in parties]
+
+    # Sort by score for better visualization
+    sorted_indices = np.argsort(scores)
+    sorted_parties = [parties[i] for i in sorted_indices]
+    sorted_scores = [scores[i] for i in sorted_indices]
+    sorted_colors = [party_colors[i] for i in sorted_indices]
+
+    # Create horizontal bar chart
+    fig = go.Figure()
+
+    fig.add_trace(
+        go.Bar(
+            y=sorted_parties,
+            x=sorted_scores,
+            orientation="h",
+            marker_color=sorted_colors,
+            text=[f"{s:.2f}" for s in sorted_scores],
+            textposition="outside",
+        )
+    )
+
+    # Update layout
+    label = theme.get("label", f"As {comp_sel}")
+    positive_pole = theme.get("positive_pole", "Positief")
+    negative_pole = theme.get("negative_pole", "Negatief")
+
+    fig.update_layout(
+        title=f"Partijposities — {label}",
+        xaxis_title=f"{negative_pole} ← → {positive_pole}",
+        yaxis_title="",
+        height=max(400, len(parties) * 25),
+        margin=dict(l=150),
+        showlegend=False,
+    )
+
+    # Add vertical line at x=0
+    fig.add_vline(x=0, line_dash="dash", line_color="gray", opacity=0.5)
+
+    st.plotly_chart(fig, use_container_width=True)
+
+
 @st.cache_data(show_spinner="Moties laden…")
 def load_motions_df(db_path: str) -> pd.DataFrame:
     """Load the full motions table as a pandas DataFrame (read-only)."""
@@ -2823,15 +2893,22 @@ def build_svd_components_tab(db_path: str) -> None:
             p: coords for p, coords in party_coords.items() if p in valid_parties
         }
 
-    # Only render party axis chart for components 1 and 2 (which have 2D coords)
+    # Render party axis chart
     if comp_sel in (1, 2):
+        # Components 1-2 use 2D coords from political compass
         _render_party_axis_chart(
             party_coords, comp_sel, theme, bootstrap_data=bootstrap_data
         )
     else:
-        st.caption(
-            "_Partijposities zijn alleen beschikbaar voor de eerste twee SVD-assen._"
-        )
+        # Components 3-10 use 1D scores from SVD
+        # Extract 1D scores for this component
+        party_1d_coords = {}
+        idx = comp_sel - 1  # Convert to 0-indexed
+        for party, scores in party_scores.items():
+            if scores and len(scores) > idx:
+                party_1d_coords[party] = (scores[idx],)
+
+        _render_party_axis_chart_1d(party_1d_coords, comp_sel, theme)
 
     # Batch-fetch motion details (title, date, policy_area, url, body_text, voting_results)
     motion_ids = [m.get("motion_id") for m in motions if m.get("motion_id") is not None]