# coding: utf-8
#!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np

data = np.array([
    [1973, 44906],
    [1974, 44608],
    [1975, 44559],
    [1976, 44217],
    [1977, 43844],
    [1978, 43732],
    [1979, 43616],
    [1980, 43306],
    [1981, 42933],
    [1982, 42765],
    [1983, 42371],
    [1984, 41987],
    [1985, 41717],
    [1986, 41570],
    [1987, 41602],
    [1988, 40596],
    [1989, 40887],
    [1990, 42040],
    [1991, 42730],
    [1992, 43328],
    [1993, 43807],
    [1994, 44260],
    [1995, 44417],
    [1996, 44168],
    [1997, 43587],
    [1998, 43281],
    [1999, 43239],
    [2000, 43378],
    [2001, 43777],
    [2002, 44192],
    [2003, 44150],
    [2004, 44180],
    [2005, 43845],
    [2006, 43549],
    [2007, 43598],
    [2008, 43514],
    [2009, 43324],
    [2010, 43199],
    [2011, 43149],
    [2012, 43237]])

# Prepare axis
fig = plt.figure(figsize=(8, 3))
ax = fig.add_subplot(111)

# Plot data
years = data[:, 0]
people = data[:, 1]
baseline = 40000
ax.fill_between(year, people, y2=baseline, color='#000066', edgecolor='black',
                alpha=0.6, lw=2)

# Cosmetics
plt.xlim(min(year), max(year))
ax.minorticks_on()
fig.subplots_adjust(bottom=0.15)
plt.grid()
plt.title(u'Bevölkerungsentwicklung in Kaufbeuren')
plt.xlabel('Jahr')
plt.ylabel('Einwohner')

# Save figure
plt.savefig('KaufbeurenBevoelkerung.svg', transparent=True)