update(bump-basic): seaborn — comprehensive quality review

Refactored data construction, custom color palette, improved theming and font sizes.

Author: MarkusNeusinger

plots/bump-basic/implementations/seaborn.py

@@ -1,7 +1,7 @@
-""" pyplots.ai
+"""pyplots.ai
 bump-basic: Basic Bump Chart
-Library: seaborn 0.13.2 | Python 3.13.11
-Quality: 91/100 | Created: 2025-12-23
+Library: seaborn 0.13.2 | Python 3.14.3
+Quality: /100 | Updated: 2026-02-22
 """
 
 import matplotlib.pyplot as plt
@@ -10,67 +10,82 @@
 
 
 # Data - Sports league standings over 6 weeks
-data = {
-    "Team": ["Lions"] * 6 + ["Tigers"] * 6 + ["Bears"] * 6 + ["Eagles"] * 6 + ["Wolves"] * 6,
-    "Week": ["Week 1", "Week 2", "Week 3", "Week 4", "Week 5", "Week 6"] * 5,
-    "Rank": [
-        3,
-        2,
-        1,
-        1,
-        2,
-        1,  # Lions - start mid, climb to top
-        1,
-        1,
-        2,
-        3,
-        1,
-        2,  # Tigers - start top, fluctuate
-        5,
-        4,
-        4,
-        2,
-        3,
-        3,  # Bears - steady climb from bottom
-        2,
-        3,
-        3,
-        4,
-        4,
-        5,  # Eagles - gradual decline
-        4,
-        5,
-        5,
-        5,
-        5,
-        4,  # Wolves - mostly bottom, slight recovery
-    ],
-}
-df = pd.DataFrame(data)
+teams = ["Lions", "Tigers", "Bears", "Eagles", "Wolves"]
+weeks = ["Week 1", "Week 2", "Week 3", "Week 4", "Week 5", "Week 6"]
+ranks = [
+    3,
+    2,
+    1,
+    1,
+    2,
+    1,  # Lions - start mid, climb to top
+    1,
+    1,
+    2,
+    3,
+    1,
+    2,  # Tigers - start top, fluctuate
+    5,
+    4,
+    4,
+    2,
+    3,
+    3,  # Bears - steady climb from bottom
+    2,
+    3,
+    3,
+    4,
+    4,
+    5,  # Eagles - gradual decline
+    4,
+    5,
+    5,
+    5,
+    5,
+    4,  # Wolves - mostly bottom, slight recovery
+]
+df = pd.DataFrame(
+    {"Team": [team for team in teams for _ in weeks], "Competition Week": weeks * len(teams), "League Position": ranks}
+)
 
-# Colors for each team - Python Blue first, then distinct colorblind-safe colors
+# Palette - Python Blue first, then distinct colorblind-safe colors
 palette = ["#306998", "#FFD43B", "#E74C3C", "#2ECC71", "#9B59B6"]
 
-# Create plot
+# Plot
+sns.set_theme(
+    style="whitegrid",
+    rc={"axes.spines.top": False, "axes.spines.right": False, "grid.linestyle": "--", "grid.alpha": 0.2},
+)
 fig, ax = plt.subplots(figsize=(16, 9))
 
-sns.lineplot(data=df, x="Week", y="Rank", hue="Team", marker="o", markersize=18, linewidth=4, palette=palette, ax=ax)
+sns.lineplot(
+    data=df,
+    x="Competition Week",
+    y="League Position",
+    hue="Team",
+    style="Team",
+    markers=True,
+    dashes=False,
+    markersize=18,
+    linewidth=4,
+    palette=palette,
+    sort=False,
+    ax=ax,
+)
 
 # Invert y-axis so rank 1 is at top
 ax.invert_yaxis()
-
-# Set y-axis ticks to integer ranks only
 ax.set_yticks([1, 2, 3, 4, 5])
+ax.xaxis.grid(False)
 
-# Styling
-ax.set_xlabel("Week", fontsize=20)
-ax.set_ylabel("Rank", fontsize=20)
-ax.set_title("bump-basic · seaborn · pyplots.ai", fontsize=24)
+# Style
+ax.set_xlabel("Competition Week", fontsize=20)
+ax.set_ylabel("League Position", fontsize=20)
+ax.set_title("bump-basic · seaborn · pyplots.ai", fontsize=24, fontweight="medium")
 ax.tick_params(axis="both", labelsize=16)
-ax.grid(True, alpha=0.3, linestyle="--")
 
-# Legend styling - placed outside plot area
-ax.legend(title="Team", fontsize=14, title_fontsize=16, loc="center left", bbox_to_anchor=(1, 0.5))
+# Legend
+ax.legend(title="Team", fontsize=14, title_fontsize=16, loc="center left", bbox_to_anchor=(1, 0.5), frameon=False)
 
 plt.tight_layout()
 plt.savefig("plot.png", dpi=300, bbox_inches="tight")

plots/bump-basic/metadata/seaborn.yaml

@@ -1,16 +1,16 @@
 library: seaborn
 specification_id: bump-basic
 created: '2025-12-23T09:18:13Z'
-updated: '2025-12-23T09:20:51Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-02-22T20:55:00+00:00'
+generated_by: claude-opus-4-6
 workflow_run: 20456606720
 issue: 0
-python_version: 3.13.11
-library_version: 0.13.2
+python_version: '3.14.3'
+library_version: '0.13.2'
 preview_url: https://storage.googleapis.com/pyplots-images/plots/bump-basic/seaborn/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/bump-basic/seaborn/plot_thumb.png
 preview_html: null
-quality_score: 91
+quality_score: null
 impl_tags:
   dependencies: []
   techniques:

plots/bump-basic/specification.md

@@ -17,6 +17,7 @@ A bump chart visualizes how rankings change over time by plotting rank positions
 - `period` (categorical or time) - Time points for ranking snapshots
 - `rank` (integer) - Position at each period (1 = highest rank)
 - Size: 5-10 entities, 4-8 periods typical
+- Example: Formula 1 driver standings over a 10-race season
 
 ## Notes
 

plots/bump-basic/specification.yaml

@@ -6,7 +6,7 @@ title: Basic Bump Chart
 
 # Specification tracking
 created: 2025-12-15T20:42:43Z
-updated: 2025-12-15T20:42:43Z
+updated: 2026-02-22T12:00:00Z
 issue: 982
 suggested: MarkusNeusinger
 
@@ -18,9 +18,11 @@ tags:
   data_type:
     - categorical
     - ordinal
+    - timeseries
   domain:
     - general
   features:
     - basic
     - ranking
     - temporal
+    - comparison