import matplotlib.pyplot as plt
from cycler import cycler
import pandas as pd

df = pd.read_csv("productivity.tsv", index_col=0 , sep = "\t")
df = df.T
df = df.fillna(method = 'ffill') 

df2 = pd.read_csv("wage.tsv", index_col=0 , sep = "\t")
df2 = df2.T
df2 = df2.fillna(method = 'ffill') 

fig, ax = plt.subplots(figsize=(12, 8))
ax2 = ax.twinx()
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']

plt.subplots_adjust(left=0.07, bottom=0.15, right=0.90, top=0.93)

ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] )
ax.plot(df, linewidth=1, linestyle="dashed") 
ax2.plot(df2, linewidth=2)

ax.legend(df.columns, fontsize=9, ncol=10, loc='center' ,bbox_to_anchor=(-0.2, -0.15, 1., .102) )
ax2.legend(df.columns, fontsize=9, ncol=10, loc='center' ,bbox_to_anchor=(0.2, -0.20, 1., .102) )
ax.set_axisbelow(True)

ax.set_ylabel("GDP per hour worked (PPPUSD) - Dotted line", fontsize=8)
ax2.set_ylabel("Average wages (PPPUSD) - Solid line", fontsize=8)

plt.title("Average wages and GDP per hour worked in G7 countries (OECD stats)", fontsize=16)
plt.tick_params(labelsize=9, pad=4)

for tick in ax.get_xticklabels():
    tick.set_rotation(35)
    tick.set_fontsize(8)
plt.grid(which='major',color='#cccccc',linestyle='-', axis="y")

plt.savefig("image.svg")

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