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graph data
import matplotlib.pyplot as plt
import pandas as pd
df=pd.read_csv("data.csv", index_col=[0])
df = df.sort_values(by=["Total"], ascending=True)
fig, ax = plt.subplots(figsize=(16, 8))
ax.bar(df.index, df["Total"] , color="#5E95CD", width=0.7)
ax.bar(df.index, df["Psych"], 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("Hospital beds, Per 1,000 inhabitants, 2018 or latest (OECD Health)", 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()
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current 13:11, 24 June 2020 1,440 × 720 (90 KB) commons>Yuasan 2018 data
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