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

df1 = pd.read_csv("real.tsv", index_col=0 ,sep = "\t")
df2 = pd.read_csv("data.tsv", index_col=0 ,sep = "\t")

df = pd.merge(df1, df2, on='year', how='outer')

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=0.15, right=0.96, top=0.93)

ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'])

ax.plot(df)
ax.fill_between( df.index ,0, df["Projected"].values,  color="lightblue", alpha=0.5)

ax.legend(df.columns, fontsize=9, ncol=5, loc='center' ,bbox_to_anchor=(0, -0.25, 1, 0.24) ,frameon=True, facecolor="#dddddd")
ax.set_axisbelow(True)

plt.ylim([70000,130000])

plt.title("Population Projections for Japan (IPSS,2023)", fontsize=18)
plt.tick_params(labelsize=9, pad=4)
plt.ylabel("1000 Population", fontsize=13)
plt.xticks(rotation=35, fontsize=7)
plt.yticks(fontsize=9)

ax.xaxis.set_major_locator(ticker.MultipleLocator(3))

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")