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import matplotlib.pyplot as plt
import pandas as pd

df=pd.read_csv("data.csv", index_col=[0])
df = pd.concat([df,
     pd.DataFrame(df.sum(axis=1), columns=['Total'])], axis=1)
df = df.sort_values(by=["Total"], ascending=True)

fig, ax = plt.subplots(figsize=(16, 8))
ax.bar(df.index, df["Public"] , color="#5E95CD", width=0.7)
ax.bar(df.index, df["Private"], bottom=df["Public"] , color="#D676AB", width=0.7)
ax.legend(df.columns, fontsize=20)
ax.set_axisbelow(True)

plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.subplots_adjust(left=0.05, bottom=0.1, right=0.96, top=0.9)

plt.title("Social spending in % of GDP, 2015 (OECD SOCx)", fontsize=26)
plt.tick_params(labelsize=9, pad=4)
plt.xticks(rotation=25,)
plt.yticks(fontsize=13)
plt.grid(which='major',color='#cccccc',linestyle='-', axis="y")
plt.show()