A grouped bar chart that displays multiple bars side-by-side for each category, enabling direct comparison of values across different groups within the same categorical dimension. This visualization excels at showing how different groups perform relative to each other across multiple categories, making patterns and differences immediately apparent. Grouped bar charts are essential for comparative analysis where you need to track multiple series against the same set of categories.
""" anyplot.ai
bar-grouped: Grouped Bar Chart
Library: pygal 3.1.0 | Python 3.13.13
Quality: 85/100 | Updated: 2026-05-06
"""
import pygal
from pygal.style import Style
# Data: Quarterly Revenue by Product Line (in $M)
categories = ["Q1", "Q2", "Q3", "Q4"]
products = {"Software": [4.2, 5.1, 4.8, 6.3], "Hardware": [3.1, 2.8, 3.5, 4.0], "Services": [2.5, 3.2, 3.8, 4.2]}
# Custom style for large canvas (4800x2700)
custom_style = Style(
background="white",
plot_background="white",
foreground="#333333",
foreground_strong="#333333",
foreground_subtle="#666666",
colors=("#306998", "#FFD43B", "#FF6B6B", "#4ECDC4"),
title_font_size=72,
label_font_size=48,
major_label_font_size=42,
legend_font_size=42,
value_font_size=36,
stroke_width=2,
opacity=0.9,
opacity_hover=1.0,
)
# Create grouped bar chart
chart = pygal.Bar(
width=4800,
height=2700,
style=custom_style,
title="bar-grouped · pygal · pyplots.ai",
x_title="Quarter",
y_title="Revenue ($M)",
show_y_guides=True,
show_x_guides=False,
legend_at_bottom=False,
legend_box_size=36,
margin=80,
spacing=60,
print_values=True,
print_values_position="top",
value_formatter=lambda x: f"${x:.1f}M",
)
# Set x-axis labels
chart.x_labels = categories
# Add data series
for product, values in products.items():
chart.add(product, values)
# Save outputs
chart.render_to_png("plot.png")
chart.render_to_file("plot.html")
Part of Grouped Bar Chart on anyplot.ai.