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Summary

Graph data

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=["Total"], ascending=True)
df = df.drop("Total", axis=1)

fig, ax = plt.subplots(figsize=(16, 8))
ax.bar(df.index, df["Government/compulsory"] , color="#5E95CD", width=0.7)
ax.bar(df.index, df["Voluntary payment"], color="#9BBB59", width=0.7, bottom=df["Government/compulsory"] )
ax.bar(df.index, df["Household out-of-pocket"], color="#D676AB", width=0.7 , bottom=df["Government/compulsory"]+df["Voluntary payment"] )

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=0.08, bottom=0.15, right=0.99, top=0.9)

plt.title("Health expenditure per capita, 2020 (OECD Health)", fontsize=26)
plt.tick_params(labelsize=10, pad=4)
plt.ylabel("PPPUSD", size=15)
plt.xticks(rotation=60)
plt.yticks(fontsize=13)
plt.grid(which='major',color='#cccccc',linestyle='-', axis="y")

plt.savefig("image.svg")

Licensing

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The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. http://creativecommons.org/publicdomain/zero/1.0/deed.en CC0 Creative Commons Zero, Public Domain Dedication false false