File:IPhO-2018 average scores by country.svg
Summary
| Description |
English: Unofficial bar diagram of average student marks by country at the 49. International Physics Olympiad 2018 in Lisbon, Portugal. Only the 50 best performing teams out of 86 are shown. The cutoff marks were 35 for gold, 27.2 for silver, 17.8 for bronze and 14.05 for a honourable mention (out of 50). |
| Date | |
| Source | Own work |
| Author | Geek1337 |
| SVG development | |
| Source code | Python code# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import scipy as sc
# Average score of students at the IPhO 2018 by country, out of 50 points maximum
averages = [
['China', 41.83], ['South Korea', 39.08], ['Russia', 38.11], ['India', 37.93], ['Singapore', 35.47],
['USA', 35.32], ['Taiwan', 34.59], ['Vietnam', 33.14], ['Thailand', 33.01], ['Israel', 32.7],
['Turkey', 32.21], ['Japan', 31.94], ['Romania', 30.17], ['Serbia', 30.08], ['Hong Kong', 29.31],
['France', 29.17], ['Indonesia', 28.56], ['Ukraine', 28.226], ['Iran', 28.09], ['Phillipines', 26.8],
['Brazil', 26.1], ['United Kingdom', 25.92], ['Hungary', 23.95], ['Germany', 23.25], ['Estonia', 23.05],
['Australia', 22.62], ['Italy', 22.6], ['Belarus', 22.12], ['Bulgaria', 22.1], ['Armenia', 21.6],
['Kazakhstan', 21.34], ['Czech Republic', 20.58], ['Canada', 20.19], ['Denmark', 20.1], ['Spain', 19.8],
['Saudi Arabia', 19.5], ['Mexico', 19.04], ['Bangladesh', 19], ['Tajikistan', 18.8], ['Lithuania', 18.75],
['Mongolia', 18.71], ['Croatia', 18.5], ['Slovakia', 18.5], ['Argentina', 18.4], ['Kyrgyzstan', 18.3],
['Malaysia', 18.1], ['El Salvador', 17.8], ['Slovenia', 17.7], ['Finland', 17.3], ['Latvia', 17.2]
# ranks 51 to 86 not listed.
]
colors = sc.array([(1,1,1), (.4,.6,1), (.87,.54,.25), (.7,.7,.7), (1,.8,0)])
cutoffs = sc.array([0, 14.05, 17.8, 27.2, 35.0])
colorfun = sc.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()
ax.annotate(averages[i][0],
xy=(bar.get_x() + bar.get_width() * 0.7, height),
xytext=(0, 5),
textcoords="offset points",
ha='center', va='bottom', rotation='vertical')
plt.xlim(0.3, 50.7)
plt.ylim(0, 50)
plt.xticks([1] + range(5, 51, 5))
plt.xlabel('country')
plt.ylabel('student average score')
plt.title('49. IPhO 2018 results by country')
plt.tight_layout()
plt.savefig('IPhO-2018_average_scores_by_country.svg')
|
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