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摘要

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")

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