The same plot in 14 other libraries — Python: Altair, Bokeh, lets-plot, Matplotlib, Plotly, plotnine, Seaborn; R: ggplot2; Julia: Makie.jl; JavaScript: Chart.js, D3.js, Apache ECharts, Highcharts, MUI X Charts. Compare all 15 side by side: Time Series Line Plot in Python, R, Julia and JavaScript.
A time series line plot displays data points connected by lines over a datetime x-axis, with smart date formatting that automatically adjusts tick labels based on the time scale (days, months, years). This plot type is essential for temporal data analysis where proper date formatting and readability are critical. Unlike basic line plots, time series plots handle datetime parsing, timezone awareness, and intelligent tick label formatting.
""" anyplot.ai
line-timeseries: Time Series Line Plot
Library: pygal 3.1.3 | Python 3.14.8
Quality: 80/100 | Updated: 2026-10-28
"""
import os
import random
from datetime import datetime, timedelta
import pandas as pd
import pygal
from pygal.style import Style
# Theme tokens
THEME = os.getenv("ANYPLOT_THEME", "light")
PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
INK_MUTED = "#6B6A63" if THEME == "light" else "#A8A79F"
# Imprint palette: all eight positions in canonical order
IMPRINT_PALETTE = ("#009E73", "#C475FD", "#4467A3", "#BD8233", "#AE3030", "#2ABCCD", "#954477", "#99B314")
# Columns: set these to your table's column names
DATE = "Date" # role: date
PRICE = "Stock Price (USD)" # role: value
# Data: replace this block with your own table, for example df = pd.read_csv("prices.csv", parse_dates=[DATE])
random.seed(42)
price = 150.0
prices = []
for _ in range(365):
price = max(100, price + random.gauss(0.1, 2.5))
prices.append(round(price, 2))
df = pd.DataFrame({DATE: [datetime(2024, 1, 1) + timedelta(days=i) for i in range(365)], PRICE: prices})
# Plot
custom_style = Style(
background=PAGE_BG,
plot_background=PAGE_BG,
foreground=INK,
foreground_strong=INK,
foreground_subtle=INK_MUTED,
colors=IMPRINT_PALETTE,
title_font_size=66,
label_font_size=56,
major_label_font_size=44,
legend_font_size=44,
value_font_size=36,
stroke_width=5,
)
chart = pygal.Line(
width=3200,
height=1800,
style=custom_style,
title="line-timeseries · pygal · anyplot.ai",
x_title=DATE,
y_title=PRICE,
show_x_guides=True,
show_y_guides=True,
x_label_rotation=45,
show_legend=False,
show_dots=False,
)
chart.add(PRICE, df[PRICE].tolist())
# Label only the first day of each month; the other days stay blank
is_month_start = df[DATE].dt.day == 1
month_labels = df[DATE].dt.strftime("%b %Y").where(is_month_start, "").tolist()
chart.x_labels = month_labels
chart.x_labels_major = [label for label in month_labels if label]
# Save
chart.render_to_file(f"plot-{THEME}.html")
chart.render_to_png(f"plot-{THEME}.png")
Runnable source as JSON, for any HTTP client: https://api.anyplot.ai/specs/line-timeseries/pygal/code. Any spec id and library id listed in llms-full.txt fit the same URL shape; every URL below is complete and callable.
{
"spec_id": "line-timeseries",
"language": "python",
"library": "pygal",
"page": "https://anyplot.ai/line-timeseries/python/pygal",
"hub": "https://anyplot.ai/line-timeseries",
"code_json": "https://api.anyplot.ai/specs/line-timeseries/pygal/code",
"spec_json": "https://api.anyplot.ai/specs/line-timeseries",
"render_light_png": "https://storage.googleapis.com/anyplot-images/plots/line-timeseries/python/pygal/plot-light.png",
"render_dark_png": "https://storage.googleapis.com/anyplot-images/plots/line-timeseries/python/pygal/plot-dark.png",
"interactive_light_html": "https://storage.googleapis.com/anyplot-images/plots/line-timeseries/python/pygal/plot-light.html",
"interactive_dark_html": "https://storage.googleapis.com/anyplot-images/plots/line-timeseries/python/pygal/plot-dark.html",
"quality_score": 80.0,
"license": "MIT",
"guide": "https://anyplot.ai/llms.txt"
}Part of Time Series Line Plot on anyplot.ai.