from matplotlib import pyplot as plt
import datetime
plotDepositRate = False
inputData = [
  # From https://www.ecb.europa.eu/stats/policy_and_exchange_rates/key_ecb_interest_rates/html/index.en.html
  # Date (with effect from): Deposit facility : Marginal lending facility
  "20 Sep 2023:4.00:4.75",
  "2 Aug 2023:3.75:4.50",
  "21 Jun 2023:3.50:4.25",
  "10 May 2023:3.25:4.00",
  "22 Mar 2023:3.00:3.75",
  "8 Feb 2023:2.50:3.25",
  "21 Dec 2022:2.00:2.75",
  "2 Nov 2022:1.50:2.25",
  "14 Sep 2022:0.75:1.50",
  "27 Jul 2022:0.00:0.75",
  "18 Sep 2019:-0.50:0.25",
  "16 Mar 2016:-0.40:0.25",
  "9 Dec 2015:-0.30:0.30",
  "10 Sep 2014:-0.20:0.30",
  "11 Jun 2014:-0.10:0.40",
  "13 Nov 2013:0.00:0.75",
  "8 May 2013:0.00:1.00",
  "11 Jul 2012:0.00:1.50",
  "14 Dec 2011:0.25:1.75",
  "9 Nov 2011:0.50:2.00",
  "13 Jul 2011:0.75:2.25",
  "13 Apr 2011:0.50:2.00",
  "13 May 2009:0.25:1.75",
  "8 Apr 2009:0.25:2.25",
  "11 Mar 2009:0.50:2.50",
  "21 Jan 2009:1.00:3.00",
  "10 Dec 2008:2.00:3.00",
  "12 Nov 2008:2.75:3.75",
  "15 Oct 2008:3.25:4.25",
  "9 Oct 2008:3.25:4.25",
  "8 Oct 2008:2.75:4.75",
  "9 Jul 2008:3.25:5.25",
  "13 Jun 2007:3.00:5.00",
  "14 Mar 2007:2.75:4.75",
  "13 Dec 2006:2.50:4.50",
  "11 Oct 2006:2.25:4.25",
  "9 Aug 2006:2.00:4.00",
  "15 Jun 2006:1.75:3.75",
  "8 Mar 2006:1.50:3.50",
  "6 Dec 2005:1.25:3.25",
  "6 Jun 2003:1.00:3.00",
  "7 Mar 2003:1.50:3.50",
  "6 Dec 2002:1.75:3.75",
  "9 Nov 2001:2.25:4.25",
  "18 Sep 2001:2.75:4.75",
  "31 Aug 2001:3.25:5.25",
  "11 May 2001:3.50:5.50",
  "6 Oct 2000:3.75:5.75",
  "1 Sep 2000:3.50:5.50",
  "28 Jun 2000:3.25:5.25",
  "9 Jun 2000:3.25:5.25",
  "28 Apr 2000:2.75:4.75",
  "17 Mar 2000:2.50:4.50",
  "4 Feb 2000:2.25:4.25",
  "5 Nov 1999:2.00:4.00",
  "9 Apr 1999:1.50:3.50",
  "22 Jan 1999:2.00:4.50",
  "4 Jan 1999:2.75:3.25",
  "1 Jan 1999:2.00:4.50"]
inputData.reverse()

dates = []
rates = []
depositRates = []
for dataRowStr in inputData:
  dataRow = dataRowStr.split(":")
  date = datetime.datetime.strptime(dataRow[0], "%d %b %Y").date()
  depositRate = float(dataRow[1]) # Deposit facility rate
  rate = float(dataRow[2]) # Marginal lending facility rate
  dates.append(date)
  rates.append(rate)
  depositRates.append(depositRate)

fig, biax = plt.subplots()
figSize = fig.get_size_inches()#_
fig.set_size_inches(figSize[0] * 4/3, figSize[1])
biax.set(xlabel="Date (Label on 1 January)", ylabel="Interest rate",
         title="European Central Bank - marginal lending facility interest rate")
years = sorted({date.year for date in dates})
years = range(years[0], years[-1] + 1)
xtickDates, xtickDatesStr = [], []
for idx, year in enumerate(years):
  date = datetime.datetime.strptime("1 Jan " + str(year), "%d %b %Y").date()
  xtickDates.append(date)
  xtickDatesStr.append(str(date.year))
plt.xticks(xtickDates, xtickDatesStr, rotation=70)
plt.plot(dates, rates, "o-", color="#6699CC", markersize="3")
if plotDepositRate:
  plt.plot(dates, depositRates, "o-", markersize="3")
plt.grid(linewidth=0.25, color="#CCCCCC")
biax.set_yticklabels(['{:.1f}%'.format(x) for x in biax.get_yticks()])
plt.tight_layout()
plt.savefig("EcbMlfRate.svg")