#!/usr/bin/python
# -*- coding: utf8 -*-

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import string

fname = 'super95price_monthly_germany_90-14'

# monthly deviations in percent from the average yearly price for super 95
# gasoline in Germany 1990 - 2014
# source: Aral
super95_pricerel_perc_monthly = [
0.9803, 0.9863, 0.9984, 1.0128, 1.0135, 1.0125,
1.0171, 1.0169, 1.0122, 0.996, 0.9811, 0.9676]

percents = 100 * (np.array(super95_pricerel_perc_monthly) - 1.0)

plt.close('all')
fig = plt.figure(figsize=(421/72., 321/72.))
ax = fig.gca()
plt.xlim(0, 12)
plt.ylim(-3.5, 3.5)
plt.title('Super 95 Benzin')
plt.xlabel('Monat')
plt.ylabel('relative Preisabweichung')
plt.grid(True)
ax.set_xticks(np.arange(12))
ax.set_xticks(np.arange(12) + 0.5, minor=True)
for tick in ax.xaxis.get_minor_ticks():
    tick.tick1line.set_markersize(0)
    tick.tick2line.set_markersize(0)
ax.set_xticklabels([])
ax.set_xticklabels(['Jan', 'Feb', 'Mar', 'Apr', 'Mai', 'Jun', 'Jul',
    'Aug', 'Sep', 'Okt', 'Nov', 'Dez'], minor=True)
ax.yaxis.set_major_formatter(mpl.ticker.FormatStrFormatter('%+d %%'))

fig.canvas.draw()
for l in ax.yaxis.get_gridlines():
    if l.get_ydata()[0] == 0.0:
        l.set_dashes([3,1])

ax.plot([(i+1)/2 for i in range(24)], [percents[i/2] for i in range(24)], lw=2.4)

plt.tight_layout()
plt.savefig(fname + '.svg')
f = open(fname + '.svg', 'r')
txt = string.replace(f.read(), 'pt', 'px', 2)
f.close()
f = open(fname + '.svg', 'w')
f.write(txt)
f.close()