File:Area in log scale of European countries.svg
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Original file (SVG file, nominally 1,152 × 480 pixels, file size: 102 KB)
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This is a file from the Wikimedia Commons. The description on its description page there is shown below.
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Summary
| Description |
English: A graph with logarithmic scale, showing the area in square kilometers of European countries, according to List of European countries by area. Only the portion of the countries' area within Europe according to the modern definition of the Europe-Asia boundary are included.
Color coding:
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| Date | |||
| Source |
Own work based on: Area in log scale of 49 European countries.png:  by LA2 |
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| Author | Moxfyre | ||
| SVG development |  This W3C-invalid vector image was created with an unknown SVG tool.
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Licensing
Moxfyre, the copyright holder of this work, hereby publishes it under the following license:
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
Attribution:
- 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.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
Source code
Created using Python 3.12, the pandas and [seaborn.pydata.org seaborn] libraries, and a screen-scraped table from List of European countries by area.
import pandas as pd
import seaborn as sns
from io import StringIO
from matplotlib import pyplot as plt
pd.set_option('display.max_rows', 500)
pd.set_option('display.width', 200)
# Screen-scraped string containing the contents of
# https://en.wikipedia.org/wiki/List_of_European_countries_by_area#List_of_European_countries_and_dependencies_by_area
s = StringIO('''
– Europe 100% 10,014,000 3,866,000
1 K Russia 39.5% 3,952,550 1,526,090 [a]
2 Ukraine 6.0% 603,549 233,032 [b]
3 T France 5.4% 543,941 210,017 [c]
4 T Spain 5.0% 498,485 192,466 [d]
5 Sweden 4.4% 438,574 169,334
6 Germany 3.6% 357,581 138,063
7 Finland 3.4% 336,884 130,072 [e]
8 Norway 3.2% 323,772 125,009 [f]
9 Poland 3.1% 312,679 120,726
10 T Italy 3.0% 301,958 116,587 [g]
11 United Kingdom 2.4% 244,381 94,356 [h]
12 Romania 2.4% 238,298 92,007
13 Belarus 2.1% 207,600 80,200
14 K Kazakhstan 1.5% 148,000 57,000 [i]
15 T Greece 1.3% 131,957 50,949 [j]
16 Bulgaria 1.1% 110,372 42,615
17 Iceland 1.0% 103,000 40,000
18 Hungary 0.9% 93,025 35,917
19 T Portugal 0.9% 91,424 35,299 [k]
20 Austria 0.8% 83,878 32,385
21 Czechia 0.8% 78,871 30,452
22 Serbia 0.8% 77,589 29,957 [l]
23 Ireland 0.7% 69,825 26,960
24 Lithuania 0.7% 65,286 25,207
25 Latvia 0.6% 64,594 24,940
– Svalbard (Norway) 0.6% 62,045 23,956 [m]
26 Croatia 0.6% 56,594 21,851
27 Bosnia 0.5% 51,209 19,772
28 Slovakia 0.5% 49,035 18,933
29 Estonia 0.5% 45,399 17,529
30 T Denmark 0.4% 42,947 16,582 [n]
31 T Netherlands 0.4% 41,543 16,040 [o]
32 Switzerland 0.4% 41,291 15,943
33 Moldova 0.3% 33,847 13,068
34 Belgium 0.3% 30,528 11,787
35 Albania 0.3% 28,748 11,100
36 Macedonia 0.3% 25,713 9,928
37 K Turkey 0.2% 23,757 9,173 [p]
38 Slovenia 0.2% 20,273 7,827
39 Montenegro 0.1% 13,888 5,362
– Kosovo 0.1% 10,910 4,210 [q]
40 K Azerbaijan 0.07% 6,960 2,690 [r]
– Transnistria 4,163 1,607 [s]
41 K Georgia 0.03% 3,040 1,170 [t]
42 Luxembourg 0.03% 2,586 998
– Åland (Finland) 0.02% 1,583 611 [u]
– Faroe Islands (Denmark) 0.01% 1,393 538 [v]
– Isle of Man (UK) 0.006% 572 221
43 Andorra 0.005% 468 181
44 Malta 0.003% 315 122
45 Liechtenstein 0.002% 160 62
– Jersey (UK) 0.001% 116 45
– Guernsey (UK) 0.001% 78 30
46 San Marino 0.001% 61 24
– Gibraltar (UK) 0% 7 2.7 [w]
47 Monaco 0% 2 0.77 [x]
48 Vatican City 0% 0.49 0.19 [y]
– C Abkhazia 8,664.59 3,345.42 [z]
– C South Ossetia 3,885 1,500 [aa]
– C Akrotiri and Dhekelia (UK) 0% 254 98 [ab]
49 C Armenia 0% 29,743 11,484 [ac]
50 C Cyprus 0% 9,251 3,572
'''
table: pd.DataFrame = pd.read_csv(s, header=None, sep='\t', thousands=',',
names=['Rank', 'Country', 'Percent', 'Area_km2', 'Area_mi2', 'Refs'],
usecols=['Rank', 'Country', 'Percent', 'Area_km2'],
)
# Cleanup table
table['Caveat'] = None
table[['Rank', 'Caveat']] = table.Rank.str.split(n=1, expand=True)
table.Rank = table.Rank.replace(['-', '\u2012', '\u2013', '\u2014'], pd.NA).astype(pd.Int64Dtype())
table.Percent = table.Percent.str.removesuffix('%').astype(float)
table.Country = table.Country.str.strip()
# Create plot
def cmap(s: pd.Series):
if s.Area_km2>1e6:
c = (.5, 0, .5)
elif s.Area_km2>1e3:
c = (0, .625, 0)
else:
c = (1, 0, 0)
if s.Caveat in ('T', 'K'):
c = tuple((1-((1-x)*2/3)) for x in c)
elif s.Caveat == 'C':
c = tuple((1-((1-x)/4)) for x in c)
return c
fig, ax = plt.subplots(figsize=(12, 5))
t = table.query('(~Rank.isna() & ~Country.isna()) | Country=="Kosovo"').sort_values('Area_km2', ascending=False)
t['Color'] = t.apply(axis=1, func=cmap)
ax = sns.barplot(t, x='Country', y='Area_km2', palette=t['Color'].values, ax=ax, log=True)
ax.set_yticklabels(ax.get_yticklabels(), fontsize=12)
ax.set_xticklabels(ax.get_xticklabels(), rotation=60, ha='right', rotation_mode='anchor', fontsize=12)
ax.set_ylabel("Area (km\u00b2)", fontsize=20)
ax.set_xlabel("Country", fontsize=20)
# Save output
ax.figure.tight_layout() # prevent truncation
ax.figure.savefig('/tmp/Area_in_log_scale_of_European_countries.svg')
Original upload log
This image is a derivative work of the following images:
- Area in log scale of 49 European countries.png licensed with Cc-zero
- 2014-02-16T01:36:55Z LA2 1425x807 (50352 Bytes) User created page with UploadWizard
Uploaded with derivativeFX
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Dimensions | User | Comment | |
|---|---|---|---|---|
| current | 15:21, 4 June 2025 | 1,152 × 480 (102 KB) | Moxfyre | The x-label was obvious and unnecessary |
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