A line plot with the area between the line and the baseline (typically x-axis) filled with a semi-transparent color. This creates an area chart effect for a single series, emphasizing the magnitude of values.

""" anyplot.ai
line-filled: Filled Line Plot
Library: plotnine 0.15.4 | Python 3.13.13
Quality: 82/100 | Updated: 2026-05-12
"""
import os
import numpy as np
import pandas as pd
from plotnine import (
aes,
element_line,
element_rect,
element_text,
geom_area,
geom_line,
ggplot,
labs,
scale_x_continuous,
theme,
theme_minimal,
)
# Theme tokens
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 - Monthly website traffic over a year
np.random.seed(42)
months = np.arange(1, 13)
base_traffic = 50000 + np.cumsum(np.random.randn(12) * 5000)
seasonal = 10000 * np.sin(np.pi * months / 6)
visitors = base_traffic + seasonal + np.random.randn(12) * 3000
visitors = np.maximum(visitors, 20000)
df = pd.DataFrame({"Month": months, "Visitors": visitors})
# Plot
plot = (
ggplot(df, aes(x="Month", y="Visitors"))
+ geom_area(fill=BRAND, alpha=0.4)
+ geom_line(color=BRAND, size=2)
+ labs(
x="Month",
y="Website Visitors",
title="line-filled · plotnine · anyplot.ai",
)
+ scale_x_continuous(breaks=range(1, 13))
+ theme_minimal()
+ theme(
figure_size=(16, 9),
plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG),
panel_background=element_rect(fill=PAGE_BG, color=PAGE_BG),
panel_grid_major=element_line(color=INK, size=0.3, alpha=0.10),
panel_grid_minor=element_line(alpha=0),
panel_border=element_rect(color=INK_SOFT, fill=None),
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),
)
)
# Save
plot.save(f"plot-{THEME}.png", dpi=300, verbose=False)
Part of Filled Line Plot on anyplot.ai.