feat(plotnine): implement scatter-regression-lowess

plots/scatter-regression-lowess/implementations/python/plotnine.py

@@ -1,14 +1,42 @@
-""" pyplots.ai
+""" anyplot.ai
 scatter-regression-lowess: Scatter Plot with LOWESS Regression
-Library: plotnine 0.15.2 | Python 3.13.11
-Quality: 91/100 | Created: 2025-12-30
+Library: plotnine 0.15.4 | Python 3.13.13
+Quality: 97/100 | Updated: 2026-05-14
 """
 
+import os
+import sys
+
 import numpy as np
 import pandas as pd
-from plotnine import aes, element_text, geom_point, geom_smooth, ggplot, labs, theme, theme_minimal
 
 
+venv_path = "/home/runner/work/anyplot/anyplot/.venv/lib/python3.13/site-packages"
+if os.path.exists(venv_path):
+    sys.path.insert(0, venv_path)
+
+from plotnine import (  # noqa: E402
+    aes,
+    element_line,
+    element_rect,
+    element_text,
+    geom_point,
+    geom_smooth,
+    ggplot,
+    labs,
+    theme,
+    theme_minimal,
+)
+
+
+THEME = os.getenv("ANYPLOT_THEME", "light")
+PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
+ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
+INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
+INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
+BRAND = "#009E73"
+ACCENT = "#D55E00"
+
 # Data - create complex non-linear relationship (crop yield vs temperature)
 np.random.seed(42)
 n_points = 150
@@ -28,23 +56,32 @@
 # Create DataFrame
 df = pd.DataFrame({"temperature": x, "yield": y})
 
+# Theme configuration
+anyplot_theme = theme(
+    figure_size=(16, 9),
+    plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG),
+    panel_background=element_rect(fill=PAGE_BG),
+    panel_grid_major=element_line(color=INK, size=0.3, alpha=0.10),
+    panel_grid_minor=element_line(color=INK, size=0.2, alpha=0.05),
+    panel_border=element_rect(color=INK_SOFT, fill=None),
+    axis_title=element_text(color=INK, size=20),
+    axis_text=element_text(color=INK_SOFT, size=16),
+    axis_line=element_line(color=INK_SOFT),
+    plot_title=element_text(color=INK, size=24),
+    text=element_text(size=14),
+)
+
 # Create plot with scatter points and LOWESS smooth
 plot = (
     ggplot(df, aes(x="temperature", y="yield"))
-    + geom_point(color="#306998", alpha=0.6, size=3)
-    + geom_smooth(method="lowess", span=0.4, color="#FFD43B", size=2.5, se=False)
+    + geom_point(color=BRAND, alpha=0.6, size=3)
+    + geom_smooth(method="lowess", span=0.4, color=ACCENT, size=2.5, se=False)
     + labs(
-        x="Temperature (°C)", y="Crop Yield (tons/hectare)", title="scatter-regression-lowess · plotnine · pyplots.ai"
+        x="Temperature (°C)", y="Crop Yield (tons/hectare)", title="scatter-regression-lowess · plotnine · anyplot.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),
-    )
+    + anyplot_theme
 )
 
 # Save
-plot.save("plot.png", dpi=300)
+plot.save(f"plot-{THEME}.png", dpi=300)