import matplotlib as mpl
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
df = df.sort_values(by=["Life expectancy"], ascending=True)
x = np.arange(df.index.size)
fig, ax = plt.subplots(figsize=(5, 20))
cmap = mpl.colormaps['tab10']
ax.barh(df.index, df["Life expectancy"] , color=cmap(1) )
ax.barh(df.index, df["Healthy life expectancy"] , color=cmap(2) )
ax.set_axisbelow(True)
plt.rcParams['font.sans-serif'] = ['Noto Sans JP']
plt.rcParams['font.family'] = 'sans-serif'
plt.subplots_adjust(left=0.1, bottom=0.05, right=1, top=0.95)
plt.title("Life expectancy and Healthy life expectancy (WHO,2019)", fontsize=13)
plt.tick_params(labelsize=9, pad=4)
plt.xlabel("year (at birth)", fontsize=9)
plt.yticks(fontsize=7)
plt.ylim(-0.5, len(df)-.5)
plt.xlim([40,90])
ax.legend(df.columns, fontsize=9, ncol=1, loc='lower right', frameon=True, facecolor="#dddddd")
ax.minorticks_on()
plt.grid(which='major',color='#cccccc',linestyle='-', axis="x")
plt.grid(which='minor',color='#cccccc',linestyle='--', axis="x")
plt.subplots_adjust(top =0.85)
plt.savefig("image.svg", bbox_inches='tight')