Japan-Health-expendure-NHI_LSE.svg
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Summary
| Description |
English:
Healthcare expenditures in Japan by Age (MHLW,2020)
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| Date | |
| Source |
Own work
, Data from MHLW 保険局調査課,
医療保険に関する基礎資料 ～令和２年度の医療費等の状況～ , p52, 53 |
| Author | Yuasan |
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Permission
( Reusing this file ) |
CC-0 |
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
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This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication . |
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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.
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graph data
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.ticker as ticker
df1 = pd.read_csv("data.tsv", index_col=0 , sep = "\t").T.div(1000)
df2 = pd.read_csv("consult.tsv", index_col=0 , sep = "\t")
df2 = df2.reindex(columns=['Total'])
fig, ax = plt.subplots(figsize=(10, 5))
ax2 = ax.twinx()
ax.plot(df2, label="Doctor consult", color="#5E95CD")
for i in range( len(df1) ):
ax2.bar(df1.columns, df1.iloc[i] , bottom=df1.iloc[:i].sum(), label=df1.index[i])
lines, labels = ax.get_legend_handles_labels()
lines2, labels2 = ax2.get_legend_handles_labels()
ax2.legend(lines + lines2, labels + labels2, facecolor="#eeeeee" ,ncol=2, fontsize=11,loc='upper left')
ax.set_ylim([0,20])
ax2.set_ylim([0,1600])
ax2.axvspan(14.5, 20.5, color="#dddddd",zorder=-1) #BG paint
ax.patch.set_alpha(0)
ax.set_zorder(2)
ax2.set_zorder(1)
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.subplots_adjust(left=0.07, bottom=0.13, right=0.90, top=0.92)
plt.title("Healthcare expenditure of Japan by Age (MHLW,2020)", fontsize=16)
plt.tick_params(labelsize=10, pad=4)
ax.set_xlabel("Age", size=10)
ax.set_ylabel("Doctor consult per person (count)", size=10)
ax2.set_ylabel("Healthcare expenditure per person (1000 JPY)", size=10)
plt.setp(ax.get_xticklabels(), fontsize=8, rotation=45)
plt.setp(ax.get_yticklabels(), fontsize=9 )
ax2.minorticks_on()
ax.set_axisbelow(True)
ax2.set_axisbelow(True)
ax.grid(False, which='both', axis="both")
ax2.grid(True, which='major',color='#cccccc',linestyle='-', axis="y")
ax2.grid(True, which='minor',color='#eeeeee',linestyle='--', axis="y")
plt.savefig("image.svg")