Point Estimate Plot — lets-plot

A point estimate plot displays central tendency values (means, medians, or other estimates) with confidence intervals or error bars for each category. Each point represents the estimate, and the lines extending from it show the uncertainty range.

Point Estimate Plot rendered with lets-plot

Renders

Python source (lets-plot)

""" anyplot.ai
point-basic: Point Estimate Plot
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]
ci_width = [0.9, 1.1, 0.7, 0.8, 0.6]
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=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(
        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, f"plot-{THEME}.png", path=".", scale=3)
ggsave(plot, f"plot-{THEME}.html", path=".")

Retrieve this implementation

Runnable source as JSON, for any HTTP client: https://api.anyplot.ai/specs/point-basic/letsplot/code. Any spec id and library id listed in llms-full.txt fit the same URL shape; every URL below is complete and callable.

{
  "spec_id": "point-basic",
  "language": "python",
  "library": "letsplot",
  "page": "https://anyplot.ai/point-basic/python/letsplot",
  "hub": "https://anyplot.ai/point-basic",
  "code_json": "https://api.anyplot.ai/specs/point-basic/letsplot/code",
  "spec_json": "https://api.anyplot.ai/specs/point-basic",
  "render_light_png": "https://storage.googleapis.com/anyplot-images/plots/point-basic/python/letsplot/plot-light.png",
  "render_dark_png": "https://storage.googleapis.com/anyplot-images/plots/point-basic/python/letsplot/plot-dark.png",
  "interactive_light_html": "https://storage.googleapis.com/anyplot-images/plots/point-basic/python/letsplot/plot-light.html",
  "interactive_dark_html": "https://storage.googleapis.com/anyplot-images/plots/point-basic/python/letsplot/plot-dark.html",
  "quality_score": 89.0,
  "license": "MIT",
  "guide": "https://anyplot.ai/llms.txt"
}

Part of Point Estimate Plot on anyplot.ai.

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