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

Comprehensive quality review of plotnine implementation for candlestick-basic.

Author: MarkusNeusinger

plots/candlestick-basic/implementations/plotnine.py

@@ -1,20 +1,25 @@
 """ pyplots.ai
 candlestick-basic: Basic Candlestick Chart
-Library: plotnine 0.15.2 | Python 3.13.11
-Quality: 91/100 | Created: 2025-12-23
+Library: plotnine 0.15.3 | Python 3.14.3
+Quality: /100 | Updated: 2026-02-24
 """
 
 import numpy as np
 import pandas as pd
 from plotnine import (
     aes,
+    coord_cartesian,
+    element_blank,
     element_line,
     element_text,
     geom_rect,
     geom_segment,
     ggplot,
     labs,
+    scale_color_manual,
     scale_fill_manual,
+    scale_x_continuous,
+    scale_y_continuous,
     theme,
     theme_minimal,
 )
@@ -32,10 +37,8 @@
 
 for _ in range(n_days):
     open_price = price
-    # Daily movement: random direction and magnitude
     change = np.random.randn() * 3
     close_price = open_price + change
-    # High and low extend beyond open/close
     high_price = max(open_price, close_price) + abs(np.random.randn() * 1.5)
     low_price = min(open_price, close_price) - abs(np.random.randn() * 1.5)
 
@@ -44,38 +47,59 @@
     lows.append(low_price)
     closes.append(close_price)
 
-    # Next day opens near previous close
     price = close_price + np.random.randn() * 0.5
 
 df = pd.DataFrame({"date": dates, "open": opens, "high": highs, "low": lows, "close": closes})
 
-# Add columns for plotting
-df["date_num"] = np.arange(len(df))
+# Derived columns for plotting
+df["day"] = np.arange(len(df))
 df["direction"] = np.where(df["close"] >= df["open"], "up", "down")
 df["body_top"] = df[["open", "close"]].max(axis=1)
 df["body_bottom"] = df[["open", "close"]].min(axis=1)
 
-# Plot - build candlestick with segments (wicks) and rectangles (bodies)
+# Date labels for x-axis (show every 5th trading day)
+tick_indices = list(range(0, n_days, 5))
+tick_labels = [dates[i].strftime("%b %d") for i in tick_indices]
+
+# Palette: blue for bullish, amber for bearish (colorblind-safe)
+palette = {"up": "#2196F3", "down": "#FF6F00"}
+edge_palette = {"up": "#1565C0", "down": "#E65100"}
+
+# Plot - candlestick with segments (wicks) and rectangles (bodies)
 plot = (
     ggplot(df)
     # Wicks (high-low lines)
-    + geom_segment(aes(x="date_num", xend="date_num", y="low", yend="high"), color="#333333", size=1)
-    # Candle bodies (rectangles)
+    + geom_segment(aes(x="day", xend="day", y="low", yend="high"), color="#555555", size=0.7)
+    # Candle bodies with subtle edge for definition
     + geom_rect(
-        aes(xmin="date_num - 0.4", xmax="date_num + 0.4", ymin="body_bottom", ymax="body_top", fill="direction")
+        aes(
+            xmin="day - 0.35",
+            xmax="day + 0.35",
+            ymin="body_bottom",
+            ymax="body_top",
+            fill="direction",
+            color="direction",
+        ),
+        size=0.3,
     )
-    # Colors: green for up, red for down
-    + scale_fill_manual(values={"up": "#22ab94", "down": "#f23645"}, guide=None)
-    + labs(x="Trading Day", y="Price ($)", title="candlestick-basic \u00b7 plotnine \u00b7 pyplots.ai")
+    + scale_fill_manual(values=palette, guide=None)
+    + scale_color_manual(values=edge_palette, guide=None)
+    # Date labels on x-axis
+    + scale_x_continuous(breaks=tick_indices, labels=tick_labels, expand=(0.02, 0.5))
+    + scale_y_continuous(labels=lambda vals: [f"${v:,.0f}" for v in vals])
+    + coord_cartesian(ylim=(df["low"].min() - 1.5, df["high"].max() + 1.5))
+    + labs(x="", y="Price ($)", title="candlestick-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),
-        panel_grid_major=element_line(color="#cccccc", size=0.5, alpha=0.3),
-        panel_grid_minor=element_line(color="#eeeeee", size=0.3, alpha=0.2),
+        panel_grid_major_x=element_blank(),
+        panel_grid_minor_x=element_blank(),
+        panel_grid_major_y=element_line(color="#d0d0d0", size=0.4, alpha=0.4),
+        panel_grid_minor_y=element_blank(),
     )
 )
 

plots/candlestick-basic/metadata/plotnine.yaml

@@ -1,16 +1,16 @@
 library: plotnine
 specification_id: candlestick-basic
 created: '2025-12-23T10:01:36Z'
-updated: '2025-12-23T10:08:06Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-02-24T20:50:21+00:00'
+generated_by: claude-opus-4-6
 workflow_run: 20457533627
 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/candlestick-basic/plotnine/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/candlestick-basic/plotnine/plot_thumb.png
 preview_html: null
-quality_score: 91
+quality_score: null
 impl_tags:
   dependencies: []
   techniques: