File:Uses of videos from public broadcasting on Wikipedias (chart).png

This image shows some kind of simple graph/chart that could be converted to a Wikichart. Storing graphs or charts as images makes it harder to change (correct or translate) them. Wikicharts also help making sure to be consistent in font and size.

Arabic ∙ German ∙ English ∙ Spanish ∙ French ∙ Hungarian ∙ Japanese ∙ Macedonian ∙ Polish ∙ Slovenian ∙ +/−

Summary

Description	English: Chart made using AI and matplotlib (it generated the code after my prompts) from the data at https://glamtools.toolforge.org/glamorous.php?doit=1&category=Videos_from_public_broadcasting_by_country&use_globalusage=1&ns0=1&depth=40&show_details=1&projects%5Bwikipedia%5D=1 That is all videos in Category:Videos from public broadcasting by country
Date	8 October 2025
Source	Own work Code used is below
Author	GPT-5 mini

PNG development

This plot was created with Matplotlib.

Source code

Python code

import matplotlib.pyplot as plt
import numpy as np

# Raw data (project, count)
data = [
    ("de.wikipedia", 858), ("en.wikipedia", 528), ("nl.wikipedia", 384),
    ("fr.wikipedia", 104), ("fa.wikipedia", 97), ("zh.wikipedia", 84),
    ("pt.wikipedia", 83), ("es.wikipedia", 78), ("it.wikipedia", 69),
    ("eo.wikipedia", 58), ("ca.wikipedia", 55), ("meta.wikipedia", 52),
    ("vi.wikipedia", 52), ("ar.wikipedia", 51), ("ru.wikipedia", 49),
    ("eu.wikipedia", 49), ("ja.wikipedia", 46), ("tt.wikipedia", 41),
    ("ast.wikipedia", 41), ("ga.wikipedia", 40), ("ha.wikipedia", 40),
    ("ko.wikipedia", 34), ("uk.wikipedia", 31), ("he.wikipedia", 31),
    ("be.wikipedia", 29), ("hy.wikipedia", 27), ("tr.wikipedia", 26),
    ("ro.wikipedia", 25), ("sr.wikipedia", 25), ("id.wikipedia", 25),
    ("simple.wikipedia", 23), ("bn.wikipedia", 23), ("et.wikipedia", 23),
    ("ba.wikipedia", 21), ("ur.wikipedia", 18), ("arz.wikipedia", 18),
    ("da.wikipedia", 17), ("el.wikipedia", 16), ("la.wikipedia", 15),
    ("mk.wikipedia", 14), ("fi.wikipedia", 14), ("no.wikipedia", 13),
    ("incubator.wikipedia", 12), ("hu.wikipedia", 11), ("sl.wikipedia", 11),
    ("sv.wikipedia", 11), ("azb.wikipedia", 11), ("ms.wikipedia", 10),
    ("cy.wikipedia", 10), ("cs.wikipedia", 10), ("th.wikipedia", 10),
    ("zh_yue.wikipedia", 10), ("pl.wikipedia", 9), ("sh.wikipedia", 9),
    ("az.wikipedia", 8), ("ta.wikipedia", 8), ("lv.wikipedia", 8),
    ("mt.wikipedia", 8), ("myv.wikipedia", 8), ("pnb.wikipedia", 8),
    ("af.wikipedia", 8), ("fy.wikipedia", 8), ("sq.wikipedia", 7),
    ("kab.wikipedia", 7), ("uz.wikipedia", 7), ("gl.wikipedia", 7),
    ("bg.wikipedia", 6), ("hi.wikipedia", 6), ("ml.wikipedia", 6),
    ("syl.wikipedia", 6), ("hr.wikipedia", 6), ("ku.wikipedia", 6),
    ("ban.wikipedia", 6), ("sk.wikipedia", 6), ("br.wikipedia", 5),
    ("ka.wikipedia", 5), ("ig.wikipedia", 5), ("lb.wikipedia", 5),
    ("is.wikipedia", 4), ("te.wikipedia", 4), ("bs.wikipedia", 4),
    ("yi.wikipedia", 4), ("pa.wikipedia", 4), ("oc.wikipedia", 4),
    # remaining very-low projects omitted here but aggregated into "Other"
]

# Additional very-low projects (counts listed in the prompt)
low_counts = [
    3,3,3,3,3,3,3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,
    1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
    1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
]
other_sum = sum(low_counts)

# Prepare combined list and sort
combined = list(data)
combined.sort(key=lambda x: x[1], reverse=True)

# Top 6 projects (by count) + Other
top6 = combined[:6]
rest = combined[6:]
rest_sum = sum(c for _, c in rest) + other_sum

labels_full = [p for p, _ in top6] + ["Other"]
values = [c for _, c in top6] + [rest_sum]

# Short bar labels like "de", "en", ...
def short_label(project):
    return project.split(".")[0]  # "de", "en", etc.
bar_labels = [short_label(p) for p in labels_full]

# Plot
fig, ax = plt.subplots(figsize=(9, 5))
x = np.arange(len(values))
bars = ax.bar(x, values, color=plt.get_cmap("tab10").colors[:len(values)])

# X and Y axis labels
ax.set_xlabel("Wikipedia project")
ax.set_ylabel("Usage count")

# Set x-ticks to show short labels under each bar
ax.set_xticks(x)
ax.set_xticklabels(bar_labels)

# Add value labels above bars
for rect, val, lab in zip(bars, values, bar_labels):
    height = rect.get_height()
    ax.text(rect.get_x() + rect.get_width() / 2, height + max(values)*0.01,
            str(val), ha='center', va='bottom', fontsize=9)

# Optional: remove top/right spines for cleaner look
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)

plt.tight_layout()
plt.show()

Licensing

I, the copyright holder of this work, hereby publish it under the following license:

This file is licensed under the Creative Commons Attribution 4.0 International license.

You are free:

to share – to copy, distribute and transmit the work
to remix – to adapt the work

Under the following conditions:

attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

This file is in the public domain because it is the work of a computer algorithm or artificial intelligence and does not contain sufficient human authorship to support a copyright claim.

The United Kingdom (legislation) and Hong Kong (legislation) provide a limited term of copyright protection for computer-generated works of 50 years from creation.

AI derivative works

Legal disclaimer
Most image-generating AI models were trained using works that are protected by copyright. In some cases, such models can output content with major copyrightable image elements which are identical to or derivative of the original training data, making these outputs derivative works. Accordingly, there is a risk that AI-generated media uploaded on Commons may violate the rights of the authors of the original works. See Commons:AI-generated media for additional details.

العربية ∙ azərbaycanca ∙ Deutsch ∙ English ∙ español ∙ فارسی ∙ français ∙ galego ∙ हिन्दी ∙ Bahasa Indonesia ∙ 日本語 ∙ 한국어 ∙ မြန်မာဘာသာ ∙ português do Brasil ∙ русский ∙ slovenščina ∙ Türkçe ∙ Tiếng Việt ∙ 中文 ∙ 中文（简体） ∙ 中文（繁體） ∙ +/−

Uploaded by	Prototyperspective
Upload date	2025-11-26T22:20:06Z
MIME type	image/png
Dimensions	900 × 500 px
File size	20.8 KB

File:Uses of videos from public broadcasting on Wikipedias (chart).png

Summary

Python code

Licensing

Captions

Items portrayed in this file

depicts

bar chart

copyright status

copyrighted

copyright license

Creative Commons Attribution 4.0 International

inception

8 October 2025

height

500 pixel

media type

image/png

source of file

original creation by uploader

data size

21,348 byte

width

900 pixel

checksum

da61e30047861347a00ae21d399f5473eee536af