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

df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")

df_jp = df~ df.index.str.contains('G7')]
df_g7 = dfdf.index.str.contains('G7')]

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

plt.subplots_adjust(left=0.06, bottom=0.15, right=0.96, top=0.93)

v = df_jpdf_jp.index.str.contains("all-age")].T
ax.plot(v , linewidth=2 , label=v.columns)
v = df_jpdf_jp.index.str.contains("15")].T
ax.plot(v  , linewidth=1, label=v.columns)
v = df_g7df_g7.index.str.contains("all-age")].T
ax.plot(v , linewidth=2, ls=":",  label=v.columns)
v = df_g7df_g7.index.str.contains("15")].T 
ax.plot(v , linewidth=1, ls=":",  label=v.columns)

ax.fill_between( df.columns ,0, df.T"All persons; all-age".values,  color="lightblue", alpha=0.5, label="")

lines, labels = ax.get_legend_handles_labels()
ax.legend(lines , labels, fontsize=9, ncol=6, loc='center' ,bbox_to_anchor=(0., -0.18, 1., .102) , facecolor="#eeeeee")
ax.set_axisbelow(True)

plt.title("Unemployment rate in Japan (OECD Labour Force stat)", fontsize=16)
plt.tick_params(labelsize=9, pad=4)
plt.ylabel("Unemployment rate (%) ", fontsize=13)
plt.xticks(rotation=35, fontsize=7)
plt.yticks(fontsize=11)
plt.ylim([0,16])
ax.xaxis.set_major_locator(ticker.MultipleLocator(2))

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