A line plot rendered in polar coordinates, where data points are connected with lines around a circular axis. The angle (theta) typically represents a cyclical variable while the radius shows magnitude.

""" anyplot.ai
polar-line: Polar Line Plot
Library: pygal 3.1.0 | Python 3.13.13
Quality: 90/100 | Updated: 2026-05-12
"""
import os
import numpy as np
import pygal
from pygal.style import Style
# Theme-adaptive colors
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"
INK_MUTED = "#6B6A63" if THEME == "light" else "#A8A79F"
# Okabe-Ito palette (first series is always #009E73)
IMPRINT = ("#009E73", "#C475FD", "#4467A3", "#BD8233", "#AE3030", "#2ABCCD", "#954477")
# Data - Hourly wind speed variation (cyclical data)
np.random.seed(42)
hours = [f"{h:02d}:00" for h in range(24)]
# Day 1 - Typical breezy day pattern
day_1 = [
3.2,
2.8,
2.5,
2.1,
2.0,
2.3,
3.1,
4.5,
6.2,
7.8,
8.9,
9.5,
10.2,
10.8,
10.5,
9.8,
8.6,
7.2,
5.8,
4.2,
3.8,
3.5,
3.3,
3.2,
]
# Day 2 - Calmer day pattern
day_2 = [
2.1,
1.9,
1.8,
1.7,
1.6,
1.8,
2.4,
3.2,
4.1,
4.8,
5.2,
5.6,
5.8,
5.9,
5.7,
5.2,
4.6,
3.8,
3.1,
2.5,
2.3,
2.2,
2.1,
2.0,
]
# Custom style for 4800x2700
custom_style = Style(
background=PAGE_BG,
plot_background=PAGE_BG,
foreground=INK,
foreground_strong=INK,
foreground_subtle=INK_MUTED,
colors=IMPRINT,
title_font_size=28,
label_font_size=18,
major_label_font_size=16,
legend_font_size=16,
value_font_size=14,
stroke_width=3,
opacity=0.9,
opacity_hover=1.0,
)
# Create Radar chart (polar line visualization)
chart = pygal.Radar(
width=4800,
height=2700,
style=custom_style,
title="polar-line · pygal · anyplot.ai",
show_legend=True,
legend_at_bottom=True,
legend_box_size=24,
dots_size=16,
stroke_style={"width": 3},
fill=False,
show_dots=True,
inner_radius=0.15,
margin=50,
margin_top=100,
margin_bottom=150,
)
# Set angular labels (hours)
chart.x_labels = hours
# Add wind speed series
chart.add("Breezy Day", day_1)
chart.add("Calm Day", day_2)
# Render to files
chart.render_to_file(f"plot-{THEME}.html")
chart.render_to_png(f"plot-{THEME}.png")
Part of Polar Line Plot on anyplot.ai.