# Bar Chart with Matplotlib
# Data from https://de.wikipedia.org/wiki/Windenergie_in_Argentinien

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker

# label of y-axis
plt.title('Wind power installed capacity in Argentina (MW)')
plt.ylabel('MW')

#Format= ['show y/n', year , capacity ]
data=[
['x',2010 ,60   ] ,
[' ',2011 ,129  ] ,
[' ',2012 ,167  ] ,
[' ',2013 ,217  ] ,
[' ',2014 ,271  ] ,
['x',2015 ,279  ] ,
[' ',2016 ,279  ] ,
[' ',2017 ,318  ] ,
[' ',2018 ,751  ] ,
[' ',2019 ,1609 ] ,
['x',2020 ,2624 ] ,
[' ',2021 ,3292 ] ,
[' ',2022 ,3310 ] ,
[' ',2023 ,3706 ] 
]
# please update in future.

show_yesno = np.array([row[0] for row in data])
all_years  = np.array([row[1] for row in data])

bar_labels = []

# show axis-labels only the years marked with 'x'
for i, yesNo in enumerate(show_yesno):
    if (yesNo == 'x'):
        bar_labels.append(all_years[i])
    else:
        bar_labels.append("")

bar_heights     = np.array([row[2] for row in data])

plt.xticks(range(len(bar_heights)), bar_labels  )

plt.bar(range(len(bar_heights)), bar_heights)

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