A standard EAN-13 barcode visualization commonly used for retail products worldwide. The plot renders a scannable linear barcode encoding a 13-digit number with proper bar widths, guard patterns, and human-readable digits. This visualization is essential for product identification, inventory management, and point-of-sale systems.
""" anyplot.ai
barcode-ean13: EAN-13 Barcode
Library: letsplot 4.10.1 | Python 3.13.13
Quality: 85/100 | Updated: 2026-05-21
"""
import os
import pandas as pd
from lets_plot import (
LetsPlot,
aes,
element_blank,
element_rect,
geom_rect,
geom_text,
ggplot,
ggsave,
ggsize,
layer_tooltips,
scale_fill_identity,
theme,
theme_void,
xlim,
ylim,
)
LetsPlot.setup_html()
# 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"
BAR_COLOR = "#1A1A17" if THEME == "light" else "#F0EFE8"
# EAN-13 encoding patterns (L, G, R codes — 7 modules each)
L_CODES = {
"0": "0001101",
"1": "0011001",
"2": "0010011",
"3": "0111101",
"4": "0100011",
"5": "0110001",
"6": "0101111",
"7": "0111011",
"8": "0110111",
"9": "0001011",
}
G_CODES = {
"0": "0100111",
"1": "0110011",
"2": "0011011",
"3": "0100001",
"4": "0011101",
"5": "0111001",
"6": "0000101",
"7": "0010001",
"8": "0001001",
"9": "0010111",
}
R_CODES = {
"0": "1110010",
"1": "1100110",
"2": "1101100",
"3": "1000010",
"4": "1011100",
"5": "1001110",
"6": "1010000",
"7": "1000100",
"8": "1001000",
"9": "1110100",
}
FIRST_DIGIT_PATTERNS = {
"0": "LLLLLL",
"1": "LLGLGG",
"2": "LLGGLG",
"3": "LLGGGL",
"4": "LGLLGG",
"5": "LGGLLG",
"6": "LGGGLL",
"7": "LGLGLG",
"8": "LGLGGL",
"9": "LGGLGL",
}
# Data — German product EAN-13 (4006381333931)
raw_code = "4006381333931"
module_width = 3
bar_y_min = 35
bar_y_max = bar_y_min + 80 # 80-unit bar height
guard_y_max = bar_y_max + 10 # guard bars extend 10 units lower
# Inline check digit calculation
digits_12 = raw_code[:12]
check_total = sum(int(d) * (1 if i % 2 == 0 else 3) for i, d in enumerate(digits_12))
check_digit = str((10 - (check_total % 10)) % 10)
full_code = digits_12 + check_digit if len(raw_code) == 12 else raw_code
# Inline EAN-13 bit-pattern encoding
first_digit = full_code[0]
left_digits = full_code[1:7]
right_digits = full_code[7:13]
parity = FIRST_DIGIT_PATTERNS[first_digit]
bars_pattern = "101"
for i, d in enumerate(left_digits):
bars_pattern += L_CODES[d] if parity[i] == "L" else G_CODES[d]
bars_pattern += "01010"
for d in right_digits:
bars_pattern += R_CODES[d]
bars_pattern += "101"
# Section label for each bit position — used in interactive HTML tooltips
section_labels = ["Start Guard"] * 3
for i in range(6):
section_labels += [f"Left digit {i + 1}: {left_digits[i]}"] * 7
section_labels += ["Center Guard"] * 5
for i in range(6):
section_labels += [f"Right digit {i + 7}: {right_digits[i]}"] * 7
section_labels += ["End Guard"] * 3
# Guard bar bit positions (start, center, end) — extend lower than regular bars
guard_positions = set(range(3)) | set(range(45, 50)) | set(range(92, 95))
# Inline bar rectangle generation
bars = []
x_pos = 9 * module_width # quiet zone offset
for i, bit in enumerate(bars_pattern):
if bit == "1":
y_max = guard_y_max if i in guard_positions else bar_y_max
bars.append(
{
"xmin": float(x_pos),
"xmax": float(x_pos + module_width),
"ymin": float(bar_y_min),
"ymax": float(y_max),
"fill": BAR_COLOR,
"section": section_labels[i],
"position": i,
}
)
x_pos += module_width
total_width = x_pos + 9 * module_width # right quiet zone
df_bars = pd.DataFrame(bars)
# Digit label positions
quiet_zone = 9 * module_width
start_guard_end = quiet_zone + 3 * module_width
left_digit_width = 7 * module_width
center_guard_start = start_guard_end + 42 * module_width
right_start = center_guard_start + 5 * module_width
text_y = bar_y_min - 15
digit_labels = [{"x": quiet_zone - 5 * module_width, "y": text_y, "label": full_code[0]}]
for i, d in enumerate(full_code[1:7]):
digit_labels.append({"x": start_guard_end + (i + 0.5) * left_digit_width, "y": text_y, "label": d})
for i, d in enumerate(full_code[7:13]):
digit_labels.append({"x": right_start + (i + 0.5) * left_digit_width, "y": text_y, "label": d})
df_digits = pd.DataFrame(digit_labels)
title_str = "barcode-ean13 · python · letsplot · anyplot.ai"
df_title = pd.DataFrame({"x": [total_width / 2], "y": [guard_y_max + 25], "label": [title_str]})
# Plot
plot = (
ggplot()
+ geom_rect(
aes(xmin="xmin", xmax="xmax", ymin="ymin", ymax="ymax", fill="fill"),
data=df_bars,
tooltips=layer_tooltips().line("@section").line("Module @position"),
)
+ scale_fill_identity()
+ geom_text(aes(x="x", y="y", label="label"), data=df_digits, size=16, family="monospace", color=INK)
+ geom_text(aes(x="x", y="y", label="label"), data=df_title, size=15, color=INK_SOFT)
+ xlim(0, total_width)
+ ylim(-20, guard_y_max + 45)
+ theme_void()
+ theme(
plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG),
panel_background=element_rect(fill=PAGE_BG),
panel_border=element_blank(),
)
+ ggsize(800, 450)
)
# Save
ggsave(plot, f"plot-{THEME}.png", scale=4, path=".")
ggsave(plot, f"plot-{THEME}.html", path=".")
Part of EAN-13 Barcode on anyplot.ai.