from datetime import datetime as dt

from matplotlib import pyplot as plt

# einträge ohne kommentar sind von archive.org
raw_data = [
#("", , , ),
("2011-08", 65, 0, 0), # ck ws1112, gesamtsumme
("2012-01", 73, 0, 0), # ck ss12, gesamtsumme
("2012-07", 73, 0, 0), # ck ws1213, gesamtsumme
("2013-01", 42, 31, 450),
("2013-02", 42, 31, 450), #ck ss13
("2013-07", 42, 31, 0),
("2013-07", 42, 31, 0), #ck ws1314
("2013-11", 42, 33.2, 0),
("2014-01", 42, 33.2, 0),
("2014-01", 42, 33.2, 0), #ck ss14
("2014-04", 42, 33.2, 0),
("2014-06", 42, 33.2, 0),
("2014-11", 42, 33.2, 0),
("2015-01", 42, 33.2, 0),
("2015-01", 42, 33.2, 0), #ck ss15
("2015-07", 42, 33.2, 0), #ck ws1516 (@2016-09)
("2015-08", 42, 33.2, 0),
("2015-09", 42, 33.2, 0),
("2016-05", 42, 38, 0), #ck ss16 (@2016-09)
("2016-07", 42, 38, 0), #ck ws 1617 (@2016-09)
("2016-12", 50, 38, 0),
("2017-03", 50, 38, 0), #ck ss17
("2017-06", 50, 38, 0), #ck ws1718
("2017-07", 50, 38, 0),
("2018-02", 90.2, 0, 0), #ck ss18, gesamtsumme
("2019-05", 60, 40.4, 0),
]

data = []

base_date = dt(year=1,month=1,day=1)

for raw_dt, studw, ticket, sem in raw_data:
	date = dt.strptime(raw_dt, "%Y-%m")
	data.append((date, studw, ticket, sem, (date-base_date).days))
#	plt.plot_date(date, (studw+ticket), xdate=True)

dates, studw, tickets, sem, day_diff = zip(*data)
#plt.plot_date(day_diff, studw, xdate=True, linestyle="solid",label="studentenwerksbeitrag")
#plt.plot_date(day_diff, tickets, xdate=True, linestyle="solid", label="semesterticket", bottom=studw)
#plt.plot_date(day_diff, sem, xdate=True)
#plt.show()


plt.stackplot(dates, (tickets, studw), labels=("semesterticket","studentenwerksbeitrag"))

plt.legend(loc="upper left")
plt.savefig("semesterbeiträge.png")