import matplotlib.pyplot as plt
from cycler import cycler
import pandas as pd
df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
df = df.T
df1 = df.reindex(columns=['All items'])
fig, ax = plt.subplots(figsize=(12, 8))
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans']
plt.subplots_adjust(left=0.07, bottom=0.15, right=0.96, top=0.93)
ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] )
ax.plot(df)
ax.fill_between( df1.index ,0, df1["All items"].values, color="lightblue", alpha=0.5)
ax.set_axisbelow(True)
ax.legend(df.columns, fontsize=12, ncol=4, loc='center' ,bbox_to_anchor=(0, -0.23, 1, 0.24) )
plt.title("Consumer price index of Japan, COICOP 2018 (OECD)", fontsize=18)
plt.tick_params(labelsize=9, pad=4)
plt.ylabel("index, 2015=100", fontsize=13)
plt.xticks(df.index, rotation=60, fontsize=7)
plt.yticks(fontsize=13)
plt.ylim([10,110])
plt.minorticks_on()
plt.grid(which='major',color='#999999',linestyle='-', axis="y")
plt.grid(which='minor',color='#eeeeee',linestyle='-', axis="y")
plt.savefig("image.svg")