Iranian_University_Entrance_Exam_-_Applicants_and_Admissions_-_1379_1392_SH.svg
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Summary
Description Iranian University Entrance Exam - Applicants and Admissions - 1379 1392 SH.svg |
فارسی:
تعداد داوطلبان و پذیرفتهشدگان کنکور سراسری ایران بین سالهای 1379 تا 1392
|
Date | |
Source | Own work |
Author | دالبا |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import os
import numpy as np
import matplotlib.pyplot as plt
# from http://www.farsnews.com/newstext.php?nn=13930201000641
rawdata = """
1379 1186649 151943 80/12
1380 1253529 170702 62/13
1381 1291471 195281 12/15
1382 1399943 230339 72/17
1383 1283737 248646 37/19
1384 1229301 295866 87/23
1385 1189787 418855 30/35
1386 1140648 507194 47/44
1387 1197771 437069 49/36
1388 1099145 526803 93/47
1389 1109190 517068 62/46
1390 994181 608732 23/61
1391 929801 588610 30/63
1392 921386 533115 67/56
"""
splitted_data = rawdata.split()
years = np.array([int(y) for y in splitted_data[::4]])
applicants = [int(a) for a in splitted_data[1::4]]
admissions = [int(a) for a in splitted_data[2::4]]
fig = plt.figure()
ax = fig.add_subplot(111)
plt.style.use('ggplot')
axistexts = ax.set_xticklabels([str(y) for y in years])
plt.setp(axistexts, rotation=-45, fontsize=10, clip_on=False)
plt.tick_params(
axis='x', # changes apply to the x-axis
which='both', # both major and minor ticks are affected
bottom='off', # ticks along the bottom edge are off
top='off', # ticks along the top edge are off
labelbottom='on', # labels along the bottom edge are off
)
plt.xlim(years[0] - .5, years[-1] + 1.2)
plt.xticks(years + .5, years)
max_applicants = max(applicants)
plt.ylim(0, max_applicants + 50000)
plt.yticks(
range(0, max_applicants + 100000, 100000),
list(format(i, ',') for i in range(0, max_applicants + 100000, 100000)),
)
plt.ylabel('Applicants / Admissions')
plt.bar(years, applicants, facecolor='#99CCFF')
plt.bar(years, admissions, facecolor='#83FF83')
ax.legend(['Applicants', 'Admissions'])
for y, ap, ad in zip(years ,applicants, admissions):
plt.text(
y + .5,
ad/2,
format(ad/ap, '.1%'),
ha='center',
va= 'center',
rotation='-45',
)
plt.savefig(
os.path.basename(__file__).replace('.py', '.svg')
)
plt.show()
Licensing
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license.
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