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Original file (SVG file, nominally 720 × 360 pixels, file size: 96 KB)
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Summary
| Description |
Labour force participation rate in Japan |
| Date | |
| Source |
Own work, Data from OECD LFS https://stats.oecd.org/Index.aspx?DataSetCode=LFS_D# |
| Author | Yuasan |
| Permission (Reusing this file) |
CC-0 |
Graph data
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
from cycler import cycler
import pandas as pd
import matplotlib.ticker as ticker
df_lfs = pd.read_csv("lfs.tsv", index_col=0 , sep = "\t").T
df_pop = pd.read_csv("pop.tsv", index_col=0 , sep = "\t").T
df = pd.DataFrame()
for i in df_pop.columns:
df[i] = df_lfs[i].div(df_pop[i]) * 100
fig, ax = plt.subplots(figsize=(8, 4))
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.subplots_adjust(left=0.10, bottom=0.08, right=0.96, top=0.90)
ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] )
ax.plot(df)
ax.fill_between( df.index ,0, df["All persons"].values, color="lightgreen", alpha=0.2)
ax.legend(df.columns, fontsize=10, ncol=8, loc='upper left', frameon=True, facecolor="#dddddd")
ax.set_axisbelow(True)
ax.xaxis.set_major_locator(ticker.MultipleLocator(2))
ax.yaxis.set_major_locator(ticker.MultipleLocator(10))
ax.margins(0.01)
plt.title("Labour force participation rate in Japan (OECD Labour Force Statistics)", fontsize=14)
plt.tick_params(labelsize=9, pad=4)
plt.ylabel("percentage of 15-64 age", fontsize=12)
plt.xticks(rotation=35, fontsize=8)
plt.yticks(fontsize=9)
plt.ylim([40,100])
plt.minorticks_on()
plt.grid(which='major',color='#eeeeee',linestyle='-', axis="x")
plt.grid(which='minor', linestyle='None', axis="x")
plt.grid(which='major',color='#cccccc',linestyle='-', axis="y")
plt.grid(which='minor',color='#eeeeee',linestyle='--', axis="y")
plt.savefig("image.svg")
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. |
| 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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File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 16:00, 19 July 2023 | | 720 × 360 (96 KB) | Yuasan | 2022 |
| 16:27, 27 December 2022 |  | 1,080 × 450 (154 KB) | Yuasan | stretch | |
| 02:02, 23 April 2022 |  | 1,080 × 720 (85 KB) | Yuasan | Uploaded own work with UploadWizard |
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