File:Healthcare expenditures in Japan by Age.svg
Size of this PNG preview of this SVG file: 800 × 400 pixels. Other resolutions: 320 × 160 pixels | 640 × 320 pixels | 1,024 × 512 pixels | 1,280 × 640 pixels | 900 × 450 pixels.
Original file (SVG file, nominally 900 × 450 pixels, file size: 129 KB)
|
This is a file from the Wikimedia Commons. The description on its description page there is shown below.
|
|
This file may be updated to reflect new information. If you wish to use a specific version of the file without it being overwritten, please upload the required version as a separate file. |
Summary
| Description |
English: Healthcare expenditures in Japan by Age (MHLW,2020) |
| 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 |
| Permission (Reusing this file) |
CC-0 |
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
 
|
This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication. |
| 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.
|
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")
Any autoconfirmed user can overwrite this file from the same source. Please ensure that overwrites comply with the guideline.
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Dimensions | User | Comment | |
|---|---|---|---|---|
| current | 09:03, 25 June 2023 | 900 × 450 (129 KB) | Yuasan | bg style |
File usage
The following page uses this file:
