import matplotlib.pyplot as plt
import pandas as pd
df=pd.read_csv("data.tsv", index_col=0 , sep = "\t")
df = df.sort_values(by=["2020"], ascending=True)
fig, ax = plt.subplots(figsize=(10, 5))
ax.bar(df.index, df["2020"] , color="#8ABCDA", width=0.6)
ax.set_axisbelow(True)
ax.margins(0.02)
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.rcParams['font.family'] = 'sans-serif'
plt.subplots_adjust(left=0.08, bottom=0.14, right=0.96, top=0.88)
plt.title("Relative poverty rate, 0-17 age, 2020 or lastest\n(OECD Income Distribution Database)", fontsize=14)
plt.tick_params(labelsize=10, pad=4)
plt.xticks(rotation=56, fontsize=8)
plt.yticks(fontsize=9)
plt.ylabel("People ratio whose income falls \n below the poverty line", fontsize=10)
plt.minorticks_on()
plt.grid(which='major',color='#cccccc',linestyle='-', axis="y")
plt.grid(which='minor',color='#efefef',linestyle='-', axis="y")
plt.grid(which='minor', linestyle='None', axis="x")
plt.savefig("image.svg")