File:IPhO-2016 average scores by country.svg
Summary
| Description |
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 | |
| Source code | 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')
|
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