File:Foreign residents in Japan.svg
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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 | 2,560 × 1,280 pixels | 1,080 × 540 pixels.
Original file (SVG file, nominally 1,080 × 540 pixels, file size: 249 KB)
Captions
Captions
Foreign residents in Japan
Summary[edit]
| Description |
English: Foreign residents in Japan |
| Date | |
| Source |
Own work ,Data from National Institute of Population and Social Security Research (IPSS) |
| Author | Yuasan |
| Permission (Reusing this file) |
CC-0 |
Licensing[edit]
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[edit]
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.ticker as ticker
df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
df = df.fillna(0).div(1000, fill_value=0).fillna(0)
df1 = df.drop('Total', axis=1).T
df2 = df.T.loc['Total']
fig, ax = plt.subplots(figsize=(12, 6))
ax2 = ax.twinx()
ax.plot(df2, label="Total", color="#5E95CD")
ax.fill_between( df2.index ,0, df2.values, color="lightblue", alpha=0.5)
for i in range( len(df1) ):
ax2.bar(df1.columns, df1.iloc[i] , width=1, bottom=df1.iloc[:i].sum())
ax2.legend(df1.index, fontsize=10, ncol=4, loc='upper left', frameon=True, facecolor="#dddddd")
ax.set_ylim([0,3000])
ax2.set_ylim([0,3000])
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.subplots_adjust(left=0.07, bottom=0.07, right=0.98, top=0.93)
plt.title("Foreign residents in Japan (IPSS)", fontsize=20)
plt.tick_params(labelsize=10, pad=4)
ax.set_ylabel("1000 Population", size=12)
plt.setp(ax.get_xticklabels(), fontsize=8, rotation=75)
plt.setp(ax.get_yticklabels(), fontsize=9 )
ax.xaxis.set_major_locator(ticker.MultipleLocator(2))
ax.yaxis.set_major_locator(ticker.MultipleLocator(250))
ax2.set_yticklabels([])
ax2.set_yticks([])
ax.minorticks_on()
ax.set_axisbelow(True)
ax2.set_axisbelow(True)
ax.grid(True, which='major',color='#cccccc',linestyle='-', axis="y")
ax.grid(True, which='minor',color='#eeeeee',linestyle='--', axis="y")
ax2.grid(None,which='major')
plt.savefig("image.svg")
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 12:36, 9 February 2023 | | 1,080 × 540 (249 KB) | Yuasan (talk | contribs) | value add |
| 12:09, 9 February 2023 |  | 1,080 × 540 (226 KB) | Yuasan (talk | contribs) | stretch | |
| 03:53, 9 February 2023 |  | 1,080 × 540 (212 KB) | Yuasan (talk | contribs) | Uploaded own work with UploadWizard |
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