feat(plotnine): implement strip-basic (#5674)

## Implementation: `strip-basic` - python/plotnine

Implements the **python/plotnine** version of `strip-basic`.

**File:** `plots/strip-basic/implementations/python/plotnine.py`

**Parent Issue:** #975

---
:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/anyplot/actions/runs/25342823556)*

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Markus Neusinger <2921697+MarkusNeusinger@users.noreply.github.com>

Author: github-actions[bot]

plots/strip-basic/implementations/python/plotnine.py

@@ -1,13 +1,17 @@
-""" pyplots.ai
+""" anyplot.ai
 strip-basic: Basic Strip Plot
-Library: plotnine 0.15.2 | Python 3.13.11
-Quality: 91/100 | Created: 2025-12-23
+Library: plotnine 0.15.3 | Python 3.13.13
+Quality: 85/100 | Updated: 2026-05-04
 """
 
+import os
+
 import numpy as np
 import pandas as pd
 from plotnine import (
     aes,
+    element_line,
+    element_rect,
     element_text,
     geom_point,
     ggplot,
@@ -19,44 +23,52 @@
 )
 
 
+# Theme tokens
+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"
+
+OKABE_ITO = ["#009E73", "#D55E00", "#0072B2", "#CC79A7"]
+
 # Data - Patient response times (seconds) across different drug treatments
 np.random.seed(42)
 
-treatments = ["Placebo", "Drug A", "Drug B", "Drug C"]
-data = []
-
-# Generate varied distributions for each treatment group
 distributions = {
     "Placebo": {"mean": 45, "std": 12, "n": 40},
     "Drug A": {"mean": 32, "std": 8, "n": 45},
     "Drug B": {"mean": 28, "std": 10, "n": 42},
     "Drug C": {"mean": 25, "std": 6, "n": 38},
 }
 
+data = []
 for treatment, params in distributions.items():
     times = np.random.normal(params["mean"], params["std"], params["n"])
-    # Clip to realistic response times (minimum 5 seconds)
     times = np.clip(times, 5, 80)
     data.extend([(treatment, time) for time in times])
 
 df = pd.DataFrame(data, columns=["treatment", "response_time"])
 
-# Create strip plot with jittered points
+# Plot
 plot = (
     ggplot(df, aes(x="treatment", y="response_time", color="treatment"))
     + geom_point(position=position_jitter(width=0.25, height=0, random_state=42), size=4, alpha=0.65)
-    + scale_color_manual(values=["#306998", "#FFD43B", "#4B8BBE", "#FFE873"])
-    + labs(x="Treatment Group", y="Response Time (seconds)", title="strip-basic · plotnine · pyplots.ai")
+    + scale_color_manual(values=OKABE_ITO)
+    + labs(x="Treatment Group", y="Response Time (seconds)", title="strip-basic · 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),
+        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=0.20),
+        panel_grid_minor=element_line(color=INK, size=0.15, alpha=0.08),
+        axis_title=element_text(color=INK, size=20),
+        axis_text=element_text(color=INK_SOFT, size=16),
+        plot_title=element_text(color=INK, size=24),
         legend_position="none",
     )
 )
 
 # Save
-plot.save("plot.png", dpi=300, verbose=False)
+plot.save(f"plot-{THEME}.png", dpi=300, verbose=False)