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

df_lfs = pd.read_csv("lfs.tsv", index_col=0 , sep = "\t").T
df_pop = pd.read_csv("pop.tsv", index_col=0 , sep = "\t").T
df =  pd.DataFrame()

for i in df_pop.columns:
    df[i] = df_lfs[i].div(df_pop[i]) * 100


fig, ax = plt.subplots(figsize=(8, 4))
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']

plt.subplots_adjust(left=0.10, bottom=0.08, right=0.96, top=0.90)

ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] )
ax.plot(df)
ax.fill_between( df.index ,0, df["All persons"].values,  color="lightgreen", alpha=0.2)

ax.legend(df.columns, fontsize=10, ncol=8, loc='upper left',  frameon=True, facecolor="#dddddd")
ax.set_axisbelow(True)
ax.xaxis.set_major_locator(ticker.MultipleLocator(2))
ax.yaxis.set_major_locator(ticker.MultipleLocator(10))
ax.margins(0.01)

plt.title("Labour force participation rate in Japan (OECD Labour Force Statistics)", fontsize=14)
plt.tick_params(labelsize=9, pad=4)
plt.ylabel("percentage of 15-64 age", fontsize=12)
plt.xticks(rotation=35, fontsize=8)
plt.yticks(fontsize=9)
plt.ylim([40,100])

plt.minorticks_on()
plt.grid(which='major',color='#eeeeee',linestyle='-', axis="x")
plt.grid(which='minor', linestyle='None', axis="x")
plt.grid(which='major',color='#cccccc',linestyle='-', axis="y")
plt.grid(which='minor',color='#eeeeee',linestyle='--', axis="y")

plt.savefig("image.svg")