A basic line plot connects data points with straight lines to show how a continuous variable changes over a sequence or time. It's ideal for revealing trends, patterns, and changes in data over ordered intervals. The simplicity of a single-line design makes it easy to interpret at a glance.

""" anyplot.ai
line-basic: Basic Line Plot
Library: altair 6.1.0 | Python 3.13.13
Quality: 86/100 | Updated: 2026-04-29
"""
import os
import altair as alt
import numpy as np
import pandas as pd
# Theme tokens
THEME = os.getenv("ANYPLOT_THEME", "light")
PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
BRAND = "#009E73"
# Data - Monthly temperature readings over a year
np.random.seed(42)
months = pd.date_range(start="2024-01-01", periods=12, freq="MS")
base_temp = 15 + 12 * np.sin((np.arange(12) - 3) * np.pi / 6)
temperature = base_temp + np.random.randn(12) * 2
df = pd.DataFrame({"Month": months, "Temperature": temperature})
# Plot
tooltip_enc = [
alt.Tooltip("Month:T", title="Month", format="%B %Y"),
alt.Tooltip("Temperature:Q", title="Temperature (°C)", format=".1f"),
]
line = (
alt.Chart(df)
.mark_line(strokeWidth=4, color=BRAND)
.encode(x=alt.X("Month:T", title="Month"), y=alt.Y("Temperature:Q", title="Temperature (°C)"))
)
points = (
alt.Chart(df)
.mark_point(size=200, color=BRAND, filled=True)
.encode(x="Month:T", y="Temperature:Q", tooltip=tooltip_enc)
)
chart = (
(line + points)
.interactive()
.properties(
width=1600, height=900, title=alt.Title("line-basic · altair · anyplot.ai", fontSize=28), background=PAGE_BG
)
.configure_view(fill=PAGE_BG, stroke=INK_SOFT)
.configure_axis(
domainColor=INK_SOFT,
tickColor=INK_SOFT,
gridColor=INK,
gridOpacity=0.15,
labelColor=INK_SOFT,
titleColor=INK,
labelFontSize=18,
titleFontSize=22,
)
.configure_title(color=INK, fontSize=28)
.configure_legend(fillColor=ELEVATED_BG, strokeColor=INK_SOFT, labelColor=INK_SOFT, titleColor=INK)
)
# Save
chart.save(f"plot-{THEME}.png", scale_factor=3.0)
chart.save(f"plot-{THEME}.html")
Part of Basic Line Plot on anyplot.ai.