# Bar Chart with Matplotlib
# Wind power installed capacity Wind and generation in Portugal
# Data  "installed capacity (MW)" from https://de.teknopedia.teknokrat.ac.id/wiki/Windenergie_in_Portugal
# Data "generation (GWh)" from https://fr.teknopedia.teknokrat.ac.id/wiki/Énergie_éolienne_au_Portugal
# multilingual

from copy import deepcopy
from lxml import etree
import numpy as np
import matplotlib.pyplot as plt

#Format= ['show y/n', year , capacity (MW), generation (GWh) ]
data=[
['x',2005 ,1060 , 1773 ] ,
[' ',2006 ,1598 , 2925 ] ,
[' ',2007 ,2125 , 4037 ] ,
[' ',2008 ,2819 , 5757 ] ,
[' ',2009 ,3616 , 7577 ] ,
['x',2010 ,3706 , 9182 ] ,
[' ',2011 ,4083 , 9161 ] ,
[' ',2012 ,4525 ,10259 ] ,
[' ',2013 ,4724 ,12014 ] ,
[' ',2014 ,4953 ,12111 ] ,
['x',2015 ,5079 ,11607 ] ,
[' ',2016 ,5316 ,12474 ] ,
[' ',2017 ,5316 ,12248 ] ,
[' ',2018 ,5316 ,12617 ] ,
[' ',2019 ,5437 ,13667 ] ,
['x',2020 ,5486 ,12298 ] ,
[' ',2021 ,5427 ,13215 ] ,
[' ',2022 ,5696 ,13266 ] ,
[' ',2023 ,5834 ,13156 ] 
]
# 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("")

data_installed      = np.array([row[2] for row in data])  # installed
data_generated      = np.array([row[3] for row in data])  # generated

fig = plt.figure()
ax1 = plt.gca()
ax2 = ax1.twinx()

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

plt.rcParams.update({'text.usetex':False, "svg.fonttype":"none", "font.size":13})

filename = "Wind_power_installed_capacity_and_generation_in_Portugal.svg"

labels = {'title': {"en":"Wind power in Portugal",
                    "de":"Windenergie in Portugal",
                    "fr":"Énergie éolienne en Portugal",
                    "pt":"Energia eólica em Portugal",
                    "es":"Energía eólica au Portugal"},
          "installed": {"en":"installed capacity (MW)",
                        "de":"installierte Leistung (MW)",
                        "es":"capacidad instalada (MW)",
                        "pt":"capacidade instalada (MW)",
                        "fr":"Puissance installée (MW)"},
          "generation": {"en":"generation (GWh)",
                         "de":"erzeugt (GWh)",
                         "es":"producción de energía (GWh)",
                         "pt":"produção energética (GWh)",
                         "fr":"Production d'électricité (GWh)"}
            }

width =0.3
ax1.bar(np.arange(len(data_installed))- width/2,  data_installed, width=width)
ax2.bar([0], [0],  width=width, label=labels["installed"]["en"]  )
ax2.bar(np.arange(len(data_generated))+ width/2, data_generated, width=width, color='red', label=labels["generation"]["en"])

plt.title(labels["title"]["en"])
ax1.set_ylabel(labels["installed"]["en"])
ax2.set_ylabel(labels["generation"]["en"])

ax1.set_xlabel("Source: https://de.teknopedia.teknokrat.ac.id/wiki/Windenergie_in_Portugal \n and https://fr.teknopedia.teknokrat.ac.id/wiki/Énergie_éolienne_au_Portugal ")

plt.legend(loc='upper left', borderaxespad=1.5)
plt.tight_layout()

plt.savefig(filename)
# plt.show()

# create multilingual labels with the svg switch element
with open(filename, mode="r",encoding='utf-8') as svgfile:
    svg = etree.parse(svgfile, etree.XMLParser()).getroot()
for label, values in labels.items():
    for el in svg.findall(".//{" + svg.nsmap[None] + "}text"):
        if el.text == values["en"]:
            switch = etree.SubElement(el.getparent(), "switch")
            for lang, text in values.items():
                el2 = deepcopy(el)
                el2.set("systemLanguage", lang)
                el2.text = text
                switch.append(el2)
            switch.append(el)
with open(filename, mode='w', encoding='utf-8') as svgfile:
    svgfile.write(etree.tostring(svg, pretty_print=True, encoding="unicode"))