File:ACRO fatalities.svg
Summary
Description |
English: This is a graph showing statistics of air accident fatalities 1918-2017, from ACRO records. http://www.baaa-acro.com/statistics/death-rate-per-year . It may be updated when new data becomes available. |
Date | |
Source | Own work |
Author | Geek3 |
SVG development | |
Source code | Python code#! /usr/bin/env python
# -*- coding:utf8 -*-
import matplotlib.pyplot as plt
from math import *
plt.style.use('classic')
years = range(1918, 2018+1)
fatalities = [4, 33, # 191x
53, 42, 86, 51, 26, 32, 70, 107, 173, 257, # 192x
185, 166, 124, 199, 198, 317, 397, 339, 624, 482, # 193x
1123, 1118, 2714, 4032, 4542, 4665, 2064, 1896, 1973, 1905, # 194x
2191, 2295, 2354, 1971, 1639, 1292, 1273, 1421, 1679, 1417, # 195x
1891, 1707, 2301, 1698, 1617, 2187, 2139, 2245, 2310, 2520, # 196x
2266, 2228, 3346, 2814, 2621, 1856, 2419, 2449, 2042, 2511, # 197x
2203, 1506, 1958, 1921, 1273, 2968, 1763, 2064, 2313, 2507, # 199x
1631, 1957, 2299, 1760, 2018, 1828, 2796, 1768, 1721, 1150, # 199x
1586, 1539, 1418, 1233, 767, 1463, 1298, 981, 887, 1108, # 200x
1130, 828, 800, 453, 1328, 899, 629, 399, 1040] # 201x
fsize = 20
fig = plt.figure(figsize=(600 / 90.0, 450 / 90.0), dpi=72)
plt.plot(years, fatalities, 'bo-', linewidth=1, markersize=5)
plt.grid(True)
plt.xlim(floor(min(years)/10.)*10., ceil(max(years)/10.)*10.)
plt.ylim(0, 4000)
plt.gca().ticklabel_format(useOffset=False)
plt.ylabel('Fatalities')
plt.title('ACRO: air accident fatalities %s-%s' % (min(years), max(years)))
plt.tight_layout()
plt.savefig('ACRO_fatalities.svg')
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This file may be updated to reflect new information. If you wish to use a specific version of the file without it being overwritten, please upload the required version as a separate file. |
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Category:Files allowed to be overwritten by everyone
Category:Aircraft accident statistics
Category:CC-BY-SA-4.0
Category:English-language SVG charts
Category:Files allowed to be overwritten by everyone
Category:Files that need updating
Category:Photos by User:Geek3
Category:SVG created with Matplotlib
Category:Self-published work
Category:Valid SVG created with Matplotlib code