File:First marriage Ages in Japan.svg
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Size of this PNG preview of this SVG file: 750 × 600 pixels. Other resolutions: 300 × 240 pixels | 600 × 480 pixels | 960 × 768 pixels | 1,280 × 1,024 pixels | 2,560 × 2,048 pixels | 900 × 720 pixels.
Original file (SVG file, nominally 900 × 720 pixels, file size: 293 KB)
Captions
Captions
First marriage Ages in Japan
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This file may be updated to reflect new information. If you wish to use a specific version of the file without new updates being mirrored, please upload the required version as a separate file. |
Summary[edit]
| Description |
English: First marriage Ages in Japan |
| Date | |
| Source |
Own work, Data from MHLW Vital Statistics https://www.mhlw.go.jp/toukei/list/81-1.html |
| Author | Yuasan |
| Permission (Reusing this file) |
CC-0 |
Licensing[edit]
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. |
| 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[edit]
import numpy as np
from cycler import cycler
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
plt.rcParams["axes.prop_cycle"] = plt.cycler("color", plt.get_cmap("tab20")(np.linspace(0,1,12)))
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
fig, ax = plt.subplots(ncols=2, figsize=(10,8) )
plt.subplots_adjust(left=0.02, bottom=0.12, right=0.98, top=0.93)
# Men
df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
df1 = df.drop('Total', axis=1).T.div(1000)
df2 = df.T.loc['Total']
for i in range( len(df1) ):
ax[0].barh(df1.columns, df1.iloc[i] , height=0.8, label='Man' ,left=df1.iloc[:i].sum())
ax[0].yaxis.tick_right()
ax[0].set_xlim([850,0])
ax[0].set_ylim([1945,2022])
ax[0].xaxis.set_major_locator(ticker.MultipleLocator(50))
ax[0].yaxis.set_major_locator(ticker.MultipleLocator(2))
ax[0].tick_params(axis='x', labelsize=8, rotation=15)
ax[0].tick_params(axis='y', labelsize=8)
ax[0].set_axisbelow(True)
ax[0].grid(True, which='major',color='#eeeeee',linestyle='-', axis="x")
ax[0].set_xlabel('Husband 1000 person',loc="left")
#Women
df3 = pd.read_csv("data2.tsv", index_col=0 , sep = "\t")
df4 = df3.drop('Total', axis=1).T.div(1000)
for i in range( len(df4) ):
ax[1].barh(df4.columns, df4.iloc[i] , height=0.8, label='Woman' ,left=df4.iloc[:i].sum())
ax[1].set_xlim([0,850])
ax[1].set_ylim([1945,2022])
ax[1].xaxis.set_major_locator(ticker.MultipleLocator(50))
ax[1].yaxis.set_major_locator(ticker.MultipleLocator(2))
ax[1].tick_params(axis='x', labelsize=8, rotation=15)
ax[1].tick_params(axis='y', labelsize=8)
ax[1].set_axisbelow(True)
ax[1].grid(True, which='major',color='#eeeeee',linestyle='-', axis="x")
ax[1].set_xlabel('Wife 1000 person',loc="right")
plt.suptitle("First marriage Ages in Japan (MHLW)", fontsize=18)
fig.legend(df1.index, facecolor="#eeeeee" , ncol=10, loc='lower center', fontsize=9)
plt.savefig("image.svg")
File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 13:19, 18 February 2023 | | 900 × 720 (293 KB) | Yuasan (talk | contribs) | Uploaded own work with UploadWizard |
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