File:Wikipedias' article depth vs number of articles.png
Summary
| Description |
English:
See m:User:Tim Ocean for info on this metric. |
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| Prompt | "create matplotlib python code to create a chart for the following data which is in the following format: lang (this has the label for the dot) " |
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| Date | |||
| Source |
Own work
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| Author | GPT-5 prompted by me using the data at Tim Ocean and slightly modified python code | ||
| Other versions |
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PNG development
This plot was created with Matplotlib.Source code
Python code
import matplotlib.pyplot as plt
import numpy as np
# Data (lang, num_articles, words_per_article, depth)
data = [
("English",7085151,709.86,1336),
("Cebuano",6115898,216.86,209),
("German",3065898,551.76,742),
("French",2718357,675.29,1145),
("Swedish",2619342,186.88,232),
("Dutch",2201228,247.84,281),
("Spanish",2071945,634.49,1016),
("Russian",2069963,559.71,892),
("Italian",1942793,546.34,889),
("Polish",1673719,323.17,394),
("Ukrainian",1396184,395.25,603),
("Vietnamese",1296630,277.79,535),
("Portuguese",1159159,538.26,918),
("Catalan",783388,520.06,662),
("Finnish",606606,297.57,384),
("Czech",579646,486.58,660),
("Hungarian",562443,432.84,593),
("Serbo-Croatian",461167,264.15,503),
("Esperanto",377333,245.25,288),
("Lithuanian",223935,225.02,285),
("Latin",140669,154.71,169),
("Ido",59986,131.23,82),
("Volapük",45855,71.86,109),
("Scots",34282,225.50,359),
("Interlingua",30146,110.45,80),
("Kotava",29896,91.94,34),
("Interlingue",13358,301.30,155),
("Sardinian",7728,306.27,362),
("Kashubian",5495,80.62,65),
("Lingua Franca Nova",4490,357.24,283),
("Pennsylvania German",2039,75.91,106),
("Novial",1877,82.86,107),
("Tetum",1380,195.23,269),
("Lojban",1348,344.33,559),
("Gothic",976,101.75,162),
("Dinka",338,268.36,397),
("Cree",14,162.29,341),
]
langs, num_articles, words_per_article, depth = zip(*data)
num_articles = np.array(num_articles)
words_per_article = np.array(words_per_article)
depth = np.array(depth)
# Scale marker sizes (so they're visible but not huge)
area = (words_per_article - words_per_article.min()) / (np.ptp(words_per_article) + 1e-9) * 800 + 50
plt.figure(figsize=(12,8))
scatter = plt.scatter(num_articles, depth, s=area, c=words_per_article, cmap='viridis', alpha=0.85, edgecolor='k', linewidth=0.4)
# Use linear x-axis (remove log scale)
# plt.xscale('log') # removed
plt.xlabel("Number of articles")
plt.ylabel("Depth*")
plt.title("Languages: Number of articles vs Depth (marker size = words per article, color = words per article)")
# Optionally set x limits for better visualization (uncomment and adjust if desired)
# plt.xlim(0, num_articles.max()*1.05)
cbar = plt.colorbar(scatter)
cbar.set_label("Words per article")
# Annotate a subset to avoid overcrowding: annotate top 25 by number of articles
idxs = np.argsort(-num_articles)[:25]
for i in idxs:
plt.annotate(langs[i], (num_articles[i], depth[i]),
xytext=(5,3), textcoords='offset points', fontsize=9)
plt.grid(axis='y', alpha=0.3)
plt.tight_layout()
plt.show()
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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.
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 17:27, 17 March 2026 | | 1,200 × 800 (85 KB) | Prototyperspective | not logarithmic |
| 17:04, 17 March 2026 |  | 1,200 × 800 (87 KB) | Prototyperspective | Uploaded own work with UploadWizard |
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