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

df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
df1 = df.reindex(columns=['Observed'])

fig, ax = plt.subplots(figsize=(12, 6))
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']

plt.subplots_adjust(left=0.07, bottom=0.19, right=0.96, top=0.93)

ax.plot(df)
ax.legend(df.columns, fontsize=12, ncol=3, loc='center' ,bbox_to_anchor=(0., -0.23, 1., .102) )
ax.grid(which="both")
ax.set_axisbelow(True)
ax.fill_between( df1.index ,0, df1["Observed"].values,  color="lightblue", alpha=0.5)

plt.ylabel("Millions person", fontsize=15)
plt.ylim(45,70)

plt.title("Labour force of Japan (OECD,2019)", fontsize=20)
plt.tick_params(labelsize=9, pad=4)
plt.xticks(np.arange(1970, 2050, step=3), rotation=40, fontsize=9)
plt.yticks(fontsize=15)

plt.minorticks_on()
plt.grid(which='major',color='#cccccc',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")