File:IPhO-2016 average scores by country.svg
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Summary[edit]
DescriptionIPhO-2016 average scores by country.svg |
English: Unofficial bar diagram of average student marks by country at the 47. International Physics Olympiad 2016 in Zurich, Switzerland. Only the 50 best performing teams out of 84 are shown. The cutoff marks were 39.8 for gold, 30.7 for silver, 22.7 for bronze and 17.5 for a honourable mention (out of 50). |
Date | |
Source | Own work |
Author | Geek1337 |
SVG development InfoField | This plot was created with Matplotlib. |
Source code InfoField | Python code# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
from scipy import array, interpolate
# Average score of students at the IPhO 2016 by country, out of 50 points maximum
averages = [
['China', 46.26], ['South Korea', 45.16], ['Taiwan', 42.32], ['Russia', 41.56], ['USA', 39.48],
['India', 39.04], ['Singapore', 39.], ['Thailand', 38.7], ['Japan', 38.14], ['Romania', 37.88],
['Indonesia', 36.48], ['Hong Kong', 35.5], ['Vietnam', 35.48], ['Iran', 34.6], ['Hungary', 34.28],
['Ukraine', 33.72], ['Germany', 33.5], ['Serbia', 31.74], ['Israel', 30.8], ['Slovakia', 30.48],
['Brazil', 30.26], ['Australia', 29.7], ['Turkey', 29.4], ['Finland', 29.14], ['Armenia', 29.1],
['United Kingdom', 28.72], ['France', 28.48], ['Belarus', 28.34], ['Kazakhstan', 28.28], ['Canada', 26.56],
['Lithuania', 25.9], ['Bulgaria', 25.84], ['Poland', 24.9], ['Austria', 24.8], ['Estonia', 24.6],
['Saudi Arabia', 24.52], ['Czech Republic', 24.42], ['Italy', 24.16], ['Slovenia', 24.06], ['Mongolia', 23.5],
['Netherlands', 23.26], ['Spain', 22.82], ['Macao', 22.8], ['Bosnia and Herzegovina', 22.5], ['Croatia', 21.76],
['Switzerland', 21.44], ['Sweden', 21], ['Latvia', 20.5], ['Moldova', 19.7], ['Azerbaijan', 18.6]
# ranks 51 to 84 not listed.
]
colors = array([(1,1,1), (.4,.6,1), (.87,.54,.25), (.7,.7,.7), (1,.8,0)])
cutoffs = array([0, 17.5, 22.7, 30.7, 39.8])
colorfun = interpolate.interp1d(cutoffs, colors.T,
bounds_error=False, fill_value=tuple(colors[[0,-1]]))
bcolors = [colorfun(d[1]) for d in averages]
fig = plt.figure(figsize=(720 / 90.0, 480 / 90.0), dpi=72)
ax = plt.gca()
bars = plt.bar(range(1, len(averages)+1), [d[1] for d in averages],
edgecolor='k', color=bcolors)
for i, bar in enumerate(bars):
height = bar.get_height()
ytext = 5
if i == 0: ytext = -7
elif i == 1: ytext = -33
ax.annotate(averages[i][0],
xy=(bar.get_x() + bar.get_width() * 0.65, height),
xytext=(0, ytext),
textcoords="offset points",
ha='center', va='bottom', rotation='vertical')
plt.xlim(0.3, 50.7)
plt.ylim(0, 50)
plt.xticks([1] + list(range(5, 51, 5)))
plt.xlabel('country')
plt.ylabel('student average score')
plt.title('47. IPhO 2016 results by country')
plt.tight_layout()
plt.savefig('IPhO-2016_average_scores_by_country.svg')
|
Licensing[edit]
I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution-Share Alike 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.
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Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 21:27, 31 July 2019 | 720 × 480 (77 KB) | Geek1337 (talk | contribs) | User created page with UploadWizard |
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Width | 576pt |
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Height | 384pt |