# This is a Python-script to generate Scalable Vector Graphics (SVG): Wind_power_installed_capacity_in_China_MW.SVG
# The resulting plot shows a bar-chart of the installed Wind power capacity in China in MW.
# The data are taken from https://en.wikipedia.org/wiki/Wind_power_in_China
# Reference (2018): https://chinaenergyportal.org/en/2018-electricity-other-energy-statistics/
#
# To regenerate the bar-chart in the future with new data copy this Python-script and save it on
# your local computer with a filename ending with .py e.g. Wind_power_installed_capacity_in_China_MW.py.
# Extend bar_heights, bar_labels and bar_x_positions with new data and run the script.
# Copy the extended code manually 

# author: MTheiler, 2019-05-05 and 2025-01-15  
# update years 2019,2020,2021 

import matplotlib.pyplot as plt

# label of y-axis
plt.ylabel('MW')

# start with year 2005 and show only every second year on the x-axis
bar_heights = [1260, 2599, 5912,12200,16000,31100,62700,75000,91424,114763,129700,149000,163670,184260,210050,282650,328480]
bar_labels = [' ','2006',' ','2008',' ','2010',' ','2012',' ','2014',' ','2016',' ','2018',' ','2020',' ']
bar_x_positions = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]

# plot the bar chart
plt.bar(bar_x_positions, bar_heights )
plt.xticks(bar_x_positions, bar_labels)

plt.savefig('Wind_power_installed_capacity_in_China_MW.svg', format='svg')
plt.show()