The same plot in 13 other libraries — Python: Altair, Bokeh, lets-plot, Matplotlib, Plotly, Pygal; R: ggplot2; Julia: Makie.jl; JavaScript: Chart.js, D3.js, Apache ECharts, Highcharts, MUI X Charts. Compare all 14 side by side: 3D Scatter Plot in Python, R, Julia and JavaScript.
A three-dimensional scatter plot that displays the relationship between three numeric variables by plotting points in 3D space. This visualization extends the classic 2D scatter plot to reveal patterns, clusters, and correlations across three dimensions simultaneously, making it invaluable for multivariate data exploration.
""" anyplot.ai
scatter-3d: 3D Scatter Plot
Library: seaborn 0.13.2 | Python 3.13.13
Quality: 93/100 | Created: 2026-05-08
"""
import os
import matplotlib.pyplot as plt
import numpy as np
THEME = os.getenv("ANYPLOT_THEME", "light")
PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
BRAND = "#009E73"
# Data
np.random.seed(42)
n_points = 150
cluster1_x = np.random.normal(-2, 0.8, n_points // 3)
cluster1_y = np.random.normal(2, 0.8, n_points // 3)
cluster1_z = np.random.normal(1, 0.8, n_points // 3)
cluster2_x = np.random.normal(1, 0.8, n_points // 3)
cluster2_y = np.random.normal(-1, 0.8, n_points // 3)
cluster2_z = np.random.normal(3, 0.8, n_points // 3)
cluster3_x = np.random.normal(2, 0.8, n_points - 2 * (n_points // 3))
cluster3_y = np.random.normal(1, 0.8, n_points - 2 * (n_points // 3))
cluster3_z = np.random.normal(-1, 0.8, n_points - 2 * (n_points // 3))
x = np.concatenate([cluster1_x, cluster2_x, cluster3_x])
y = np.concatenate([cluster1_y, cluster2_y, cluster3_y])
z = np.concatenate([cluster1_z, cluster2_z, cluster3_z])
# Plot
fig = plt.figure(figsize=(16, 9), facecolor=PAGE_BG)
ax = fig.add_subplot(111, projection="3d")
ax.set_facecolor(PAGE_BG)
ax.scatter(x, y, z, c=BRAND, s=200, alpha=0.7, edgecolors=PAGE_BG, linewidth=0.5)
# Style
ax.set_xlabel("Feature A", fontsize=20, color=INK, labelpad=10)
ax.set_ylabel("Feature B", fontsize=20, color=INK, labelpad=10)
ax.set_zlabel("Feature C", fontsize=20, color=INK, labelpad=10)
ax.set_title("scatter-3d · seaborn · anyplot.ai", fontsize=24, fontweight="medium", color=INK, pad=20)
ax.tick_params(axis="both", labelsize=16, colors=INK_SOFT)
ax.xaxis.pane.set_facecolor(PAGE_BG)
ax.yaxis.pane.set_facecolor(PAGE_BG)
ax.zaxis.pane.set_facecolor(PAGE_BG)
ax.xaxis.pane.set_edgecolor(INK_SOFT)
ax.yaxis.pane.set_edgecolor(INK_SOFT)
ax.zaxis.pane.set_edgecolor(INK_SOFT)
ax.view_init(elev=20, azim=45)
plt.tight_layout()
plt.savefig(f"plot-{THEME}.png", dpi=300, bbox_inches="tight", facecolor=PAGE_BG)
plt.close()
Runnable source as JSON, for any HTTP client: https://api.anyplot.ai/specs/scatter-3d/seaborn/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": "scatter-3d",
"language": "python",
"library": "seaborn",
"page": "https://anyplot.ai/scatter-3d/python/seaborn",
"hub": "https://anyplot.ai/scatter-3d",
"code_json": "https://api.anyplot.ai/specs/scatter-3d/seaborn/code",
"spec_json": "https://api.anyplot.ai/specs/scatter-3d",
"render_light_png": "https://storage.googleapis.com/anyplot-images/plots/scatter-3d/python/seaborn/plot-light.png",
"render_dark_png": "https://storage.googleapis.com/anyplot-images/plots/scatter-3d/python/seaborn/plot-dark.png",
"quality_score": 93.0,
"license": "MIT",
"guide": "https://anyplot.ai/llms.txt"
}Part of 3D Scatter Plot on anyplot.ai.