A grouped lollipop chart displays multiple series across categorical variables using thin stems and circular markers arranged in groups. Each category has multiple lollipops side by side, one for each series, enabling direct comparison of metrics across groups. It combines the clarity of dot plots with the organization of grouped bar charts while reducing visual clutter.
""" anyplot.ai
lollipop-grouped: Grouped Lollipop Chart
Library: matplotlib 3.10.9 | Python 3.13.13
Quality: 82/100 | Updated: 2026-05-17
"""
import matplotlib.pyplot as plt
import numpy as np
# Data: Quarterly revenue by product line across regions
np.random.seed(42)
categories = ["North", "South", "East", "West"]
series = ["Electronics", "Furniture", "Clothing"]
n_categories = len(categories)
n_series = len(series)
# Revenue data in millions
values = {"Electronics": [4.2, 3.1, 5.5, 2.8], "Furniture": [2.8, 3.5, 2.2, 4.1], "Clothing": [3.5, 2.9, 3.8, 3.2]}
# Colors: Python Blue, Python Yellow, plus one more
colors = ["#306998", "#FFD43B", "#4CAF50"]
# Plot
fig, ax = plt.subplots(figsize=(16, 9))
# Positioning: group lollipops side by side
bar_width = 0.2
x = np.arange(n_categories)
for i, (series_name, color) in enumerate(zip(series, colors, strict=True)):
# Offset position for each series within group
x_pos = x + (i - (n_series - 1) / 2) * bar_width
y_vals = values[series_name]
# Draw stems (thin vertical lines from baseline to marker)
for xp, yv in zip(x_pos, y_vals, strict=True):
ax.plot([xp, xp], [0, yv], color=color, linewidth=2, zorder=1)
# Draw markers (circular dots)
ax.scatter(x_pos, y_vals, s=250, color=color, zorder=2, label=series_name, edgecolors="white", linewidths=1.5)
# Styling
ax.set_xlabel("Region", fontsize=20)
ax.set_ylabel("Revenue ($ millions)", fontsize=20)
ax.set_title("lollipop-grouped · matplotlib · pyplots.ai", fontsize=24)
ax.set_xticks(x)
ax.set_xticklabels(categories)
ax.tick_params(axis="both", labelsize=16)
ax.set_ylim(0, 6.5)
ax.legend(fontsize=16, loc="upper right")
ax.grid(True, alpha=0.3, linestyle="--", axis="y")
# Add baseline
ax.axhline(y=0, color="black", linewidth=0.8)
plt.tight_layout()
plt.savefig("plot.png", dpi=300, bbox_inches="tight")
Part of Grouped Lollipop Chart on anyplot.ai.