feat(letsplot): implement point-basic (#6386)

## Implementation: `point-basic` - python/letsplot

Implements the **python/letsplot** version of `point-basic`.

**File:** `plots/point-basic/implementations/python/letsplot.py`

**Parent Issue:** #2551

---
:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/anyplot/actions/runs/25685727391)*

---------

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/point-basic/implementations/python/letsplot.py

@@ -1,47 +1,59 @@
-""" pyplots.ai
+""" anyplot.ai
 point-basic: Point Estimate Plot
-Library: letsplot 4.8.2 | Python 3.13.11
-Quality: 92/100 | Created: 2025-12-30
+Library: letsplot 4.9.0 | Python 3.13.13
+Quality: 89/100 | Updated: 2026-05-11
 """
 
+import os
+
 import numpy as np
 import pandas as pd
 from lets_plot import *
 
 
 LetsPlot.setup_html()
 
+# 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"
+RULE = "rgba(26,26,23,0.10)" if THEME == "light" else "rgba(240,239,232,0.10)"
+
+BRAND = "#009E73"
+
 # Data - Research study results with confidence intervals
 np.random.seed(42)
 categories = ["Treatment A", "Treatment B", "Treatment C", "Control", "Placebo"]
 estimates = [4.2, 5.8, 3.1, 2.5, 1.8]
-# Generate realistic confidence intervals (narrower for larger effects)
 ci_width = [0.9, 1.1, 0.7, 0.8, 0.6]
-lower = [e - w for e, w in zip(estimates, ci_width)]
-upper = [e + w for e, w in zip(estimates, ci_width)]
+lower = [e - w for e, w in zip(estimates, ci_width, strict=False)]
+upper = [e + w for e, w in zip(estimates, ci_width, strict=False)]
 
 df = pd.DataFrame({"group": categories, "estimate": estimates, "lower": lower, "upper": upper})
 
 # Plot - Horizontal point estimate plot with confidence intervals
 plot = (
     ggplot(df, aes(x="group", y="estimate", ymin="lower", ymax="upper"))
-    + geom_pointrange(color="#306998", size=1.5, linewidth=1.5)
-    + geom_hline(yintercept=0, linetype="dashed", color="#666666", size=0.8, alpha=0.7)
-    + labs(y="Effect Size (95% CI)", x="Treatment Group", title="point-basic · lets-plot · pyplots.ai")
+    + geom_pointrange(color=BRAND, size=1.5, linewidth=1.5)
+    + geom_hline(yintercept=0, linetype="dashed", color=INK_SOFT, size=0.8, alpha=0.5)
+    + labs(y="Effect Size (95% CI)", x="Treatment Group", title="point-basic · letsplot · anyplot.ai")
     + coord_flip()
-    + theme_minimal()
     + theme(
-        plot_title=element_text(size=24, face="bold"),
-        axis_title=element_text(size=20),
-        axis_text=element_text(size=16),
-        panel_grid_major_x=element_blank(),
+        plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG),
+        panel_background=element_rect(fill=PAGE_BG),
+        panel_grid_major_x=element_line(color=RULE, size=0.3),
         panel_grid_minor=element_blank(),
+        panel_grid_major_y=element_blank(),
+        axis_title=element_text(size=20, color=INK),
+        axis_text=element_text(size=16, color=INK_SOFT),
+        axis_line=element_line(color=INK_SOFT, size=0.5),
+        plot_title=element_text(size=24, color=INK),
     )
     + ggsize(1600, 900)
 )
 
 # Save
-ggsave(plot, "plot.png", path=".", scale=3)
-
-# Save interactive HTML
-ggsave(plot, "plot.html", path=".")
+ggsave(plot, f"plot-{THEME}.png", path=".", scale=3)
+ggsave(plot, f"plot-{THEME}.html", path=".")