File:Births and Total fertility rate of Japan.svg

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Summary

Description
English: Births and Total fertility rate of Japan
Date
Source

Own work, Data from

Author Yuasan
Permission
(Reusing this file)
CC-0

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I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons CC-Zero 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
from cycler import cycler
import pandas as pd
import numpy as np

df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")

df1 = df.T.loc['TFR']		# line
df1 = df1.fillna(method='ffill')
df2 = df.T.loc['Births'].div(1000)	# bar

fig, ax = plt.subplots(figsize=(10, 5))
ax2 = ax.twinx()
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']

plt.subplots_adjust(left=0.08, bottom=0.08, right=0.93, top=0.90)

ax.bar(df2.index, df2, color="#FAAA69", width=0.6, label="Births")
ax.set_axisbelow(True)
ax.tick_params(axis='x', labelrotation=75)
ax.set_ylabel("Number of births (1000 person)", fontsize=12)
ax.set_ylim([0,3000])

ax2.set_ylabel("Total Fertility Rate", fontsize=12)
ax2.set_ylim([0,6])
ax2.axhspan(0,2.1, color="lightblue", alpha=0.4 , zorder=-10)	
ax2.set_prop_cycle( plt.rcParams['axes.prop_cycle'] )
ax2.plot(df1, label="TFR")

ax.margins(0.02)
ax2.margins(0.02)

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=13,loc='upper right')

plt.title("Number of births and Total Fertility Rate of Japan (MHLW Vital statistics)", fontsize=16)

plt.setp(ax.get_xticklabels(), fontsize=8)
plt.setp(ax.get_yticklabels(), fontsize=9)
plt.xticks(np.arange(1900, 2021, step=4), fontsize=9)
plt.tick_params(labelsize=9, pad=4)

plt.minorticks_on()
plt.grid(which='major',color='#999999',linestyle='-', axis="y")
plt.grid(which='minor',color='#dddddd',linestyle='--', axis="y")

plt.savefig("image.svg")
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Births and Total fertility rate of Japan

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30 December 2022

image/svg+xml

490dce310d13d292a17fc90dd911020a4e031274

119,328 byte

450 pixel

900 pixel

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Date/TimeDimensionsUserComment
current05:31, 1 August 2023900 × 450 (117 KB)Yuasanstretch

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