lang = "en"
#lang = "tr"

import numpy as np
import matplotlib.pyplot as plt
import sys
fig = plt.figure()
 
# Data from https://di.unfccc.int/detailed_data_by_party
# Select Turkey, All Years, Totals, Aggregate GHG, Mt CO2 equivalent
# Cut and paste in here: Total GHG emissions INCLUDING LULUCF
# Older figures are sometimes revised so maybe worth recopying them all occasionally 
# However new data is likely to be released first at https://unfccc.int/ghg-inventories-annex-i-parties/2021
ghg =  [ 163.4, 169.9, 175.9, 184.1, 176.7, 190.2, 209.5, 216.9, 217.7, 213.7, 237.3, 215.7, 213.6, 231.0, 241.3, 262.5, 283.4, 317.0, 318.4, 322.7, 325.2, 350.5, 372.5, 362.5, 380.5, 375.3, 401.8, 423.9, 426.4]
year = ('1990','1991','1992','1993','1994','1995','1996','1997','1998','1999','2000','2001','2002','2003','2004','2005','2006','2007','2008','2009','2010','2011','2012','2013','2014','2015','2016','2017','2018')
y_pos = np.arange(len(year))

# Set font size as default was a bit small to read
fontsize = 14

if lang == "en":
 plt.title ("Greenhouse gases emitted in Turkey (net)", fontsize = fontsize)
 plt.ylabel("Megatonnes")
elif lang == "tr":
 plt.title (" Needs translating",  fontsize = fontsize)
 plt.ylabel("Megatonne")
else:
 print("Unknown language " + lang)
 sys.exit()
 
# Create bars
plt.bar(y_pos, ghg, color="grey")
 
# Create names on the x-axis
plt.xticks(rotation=45)
plt.xticks(y_pos, year)

# Save graphic
plt.savefig('ghg_with_LULUCF_bar_chart_Turkey.svg')
 
# Show graphic
plt.show()