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

plots/bump-basic/implementations/plotnine.py

@@ -1,88 +1,85 @@
-""" pyplots.ai
+"""pyplots.ai
 bump-basic: Basic Bump Chart
-Library: plotnine 0.15.2 | Python 3.13.11
-Quality: 92/100 | Created: 2025-12-23
+Library: plotnine 0.15.3 | Python 3.14.3
+Quality: /100 | Updated: 2026-02-22
 """
 
 import pandas as pd
 from plotnine import (
     aes,
+    element_blank,
+    element_line,
+    element_rect,
     element_text,
     geom_line,
     geom_point,
     geom_text,
     ggplot,
     labs,
-    scale_color_brewer,
+    scale_color_manual,
     scale_x_continuous,
     scale_y_reverse,
     theme,
     theme_minimal,
 )
 
 
-# Data - Tech company rankings over 6 quarters
-data = {
-    "entity": ["Alpha Corp"] * 6 + ["Beta Inc"] * 6 + ["Gamma Tech"] * 6 + ["Delta Systems"] * 6 + ["Epsilon Labs"] * 6,
-    "period": ["Q1", "Q2", "Q3", "Q4", "Q5", "Q6"] * 5,
-    "period_num": [1, 2, 3, 4, 5, 6] * 5,
-    "rank": [
-        1,
-        1,
-        2,
-        2,
-        1,
-        1,  # Alpha Corp - starts strong, slight dip, recovers
-        2,
-        3,
-        1,
-        1,
-        2,
-        3,  # Beta Inc - rises to top mid-year, then falls
-        3,
-        2,
-        3,
-        4,
-        4,
-        2,  # Gamma Tech - volatile movement
-        4,
-        4,
-        4,
-        3,
-        3,
-        4,  # Delta Systems - stable middle performer
-        5,
-        5,
-        5,
-        5,
-        5,
-        5,  # Epsilon Labs - consistently last
-    ],
+# Data - Streaming platform market share rankings over 8 quarters
+platforms = ["StreamVue", "WavePlay", "CloudCast", "PixelFlix", "SonicNet", "EchoTV"]
+quarters = ["Q1'24", "Q2'24", "Q3'24", "Q4'24", "Q1'25", "Q2'25", "Q3'25", "Q4'25"]
+n_periods = len(quarters)
+
+rankings = {
+    "StreamVue": [1, 1, 1, 2, 2, 3, 3, 4],
+    "WavePlay": [2, 3, 3, 1, 1, 1, 1, 1],
+    "CloudCast": [4, 2, 2, 3, 3, 2, 2, 2],
+    "PixelFlix": [3, 4, 4, 4, 5, 5, 4, 3],
+    "SonicNet": [5, 5, 5, 5, 4, 4, 5, 5],
+    "EchoTV": [6, 6, 6, 6, 6, 6, 6, 6],
 }
-df = pd.DataFrame(data)
+
+rows = []
+for platform, ranks in rankings.items():
+    for i, rank in enumerate(ranks):
+        rows.append({"platform": platform, "quarter": quarters[i], "qnum": i + 1, "rank": rank})
+df = pd.DataFrame(rows)
 
 # Subset for end labels
-df_end = df[df["period_num"] == 6].copy()
+df_end = df[df["qnum"] == n_periods].copy()
+
+# Colors - Python Blue first, then colorblind-safe complements
+palette = {
+    "StreamVue": "#306998",
+    "WavePlay": "#e8963e",
+    "CloudCast": "#2ca02c",
+    "PixelFlix": "#d62728",
+    "SonicNet": "#8c564b",
+    "EchoTV": "#7f7f7f",
+}
 
 # Plot
 plot = (
-    ggplot(df, aes(x="period_num", y="rank", color="entity", group="entity"))
-    + geom_line(size=2.5, alpha=0.8)
-    + geom_point(size=6)
-    + geom_text(aes(label="entity"), data=df_end, nudge_x=0.3, ha="left", size=12)
-    + scale_y_reverse(breaks=[1, 2, 3, 4, 5])
-    + scale_x_continuous(breaks=[1, 2, 3, 4, 5, 6], labels=["Q1", "Q2", "Q3", "Q4", "Q5", "Q6"], limits=(0.5, 7.5))
-    + scale_color_brewer(type="qual", palette="Set2")
-    + labs(x="Quarter", y="Rank", title="bump-basic · plotnine · pyplots.ai", color="Company")
+    ggplot(df, aes(x="qnum", y="rank", color="platform", group="platform"))
+    + geom_line(size=2.8, alpha=0.85)
+    + geom_point(size=6, stroke=0.8, fill="white")
+    + geom_point(size=4)
+    + geom_text(aes(label="platform"), data=df_end, nudge_x=0.35, ha="left", size=12, fontstyle="italic")
+    + scale_y_reverse(breaks=range(1, len(platforms) + 1))
+    + scale_x_continuous(breaks=range(1, n_periods + 1), labels=quarters, limits=(0.5, n_periods + 2))
+    + scale_color_manual(values=palette)
+    + labs(x="Quarter", y="Market Share Ranking", title="bump-basic · plotnine · pyplots.ai")
     + theme_minimal()
     + theme(
         figure_size=(16, 9),
         text=element_text(size=14),
         axis_title=element_text(size=20),
         axis_text=element_text(size=16),
-        plot_title=element_text(size=24),
-        legend_text=element_text(size=16),
-        legend_title=element_text(size=18),
+        axis_text_x=element_text(rotation=0),
+        plot_title=element_text(size=24, weight="bold"),
+        panel_grid_major_x=element_blank(),
+        panel_grid_minor=element_blank(),
+        panel_grid_major_y=element_line(alpha=0.2, size=0.5),
+        panel_background=element_rect(fill="white", color="none"),
         legend_position="none",
     )
 )

plots/bump-basic/metadata/plotnine.yaml

@@ -1,16 +1,16 @@
 library: plotnine
 specification_id: bump-basic
 created: '2025-12-23T09:18:24Z'
-updated: '2025-12-23T09:21:54Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-02-22T20:55:00+00:00'
+generated_by: claude-opus-4-6
 workflow_run: 20456610470
 issue: 0
-python_version: 3.13.11
-library_version: 0.15.2
+python_version: '3.14.3'
+library_version: '0.15.3'
 preview_url: https://storage.googleapis.com/pyplots-images/plots/bump-basic/plotnine/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/bump-basic/plotnine/plot_thumb.png
 preview_html: null
-quality_score: 92
+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