#! /usr/bin/env python3
# -*- coding:utf8 -*-

import matplotlib.pyplot as plt
import matplotlib.ticker as ticker

# data source: https://www.eia.gov/international/data/world/electricity/electricity-generation
years_electricity = [
[1990, 1909], [1991, 1996], [1992, 2016], [1993, 2082], [1994, 2125],
[1995, 2210], [1996, 2292], [1997, 2271], [1998, 2316], [1999, 2393],
[2000, 2443.85], [2001, 2511.09], [2002, 2553.18], [2003, 2504.78], [2004, 2616.24],
[2005, 2626.34], [2006, 2660.85], [2007, 2608.18], [2008, 2597.81], [2009, 2558.06],
[2010, 2629.82], [2011, 2517.98], [2012, 2346.19], [2013, 2358.86], [2014, 2410.37],
[2015, 2441.34], [2016, 2477.30], [2017, 2502.82], [2018, 2562.76], [2019, 2586.16] ]
# please update in future.
years, electricity = map(list, zip(*years_electricity))

plt.rc('font', size=14)
fig = plt.figure(figsize=(600 / 90.0, 400 / 90.0), dpi=72)
plt.bar(years, electricity, edgecolor='black', width=0.6)
plt.gca().xaxis.set_major_locator(ticker.MultipleLocator(10))
plt.ylim(0)
plt.xlabel('year')
plt.ylabel('energy in TWh')
plt.title('Electricity supplied from nuclear reactors\nconnected to the grid %s\u2013%s' % (min(years), max(years)))
plt.grid(True)
plt.tight_layout()
plt.savefig('Electricity supplied from nuclear reactors since 1990.svg')