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Summary
| Description |
English: Incidence of involuntary part time workers in OECD |
| Date | |
| Source |
Own work, Data from OECD Labour Force statistics. https://stats.oecd.org/Index.aspx?DataSetCode=INVPT_I |
| Author | Yuasan |
| Permission (Reusing this file) |
CC-0 |
Graph data
import matplotlib.pyplot as plt
from cycler import cycler
import pandas as pd
df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
df = df.T
df = df.fillna(method = 'ffill')
fig, ax = plt.subplots(figsize=(12, 8))
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.subplots_adjust(left=0.07, bottom=0.15, right=0.96, top=0.93)
cc = cycler('ls', ['-', '--']) * cycler('lw', range(1, 3))
ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] * cc)
ax.plot(df)
ax.legend(df.columns, fontsize=8, ncol=10, loc='center' ,bbox_to_anchor=(0, -0.23, 1, 0.24) )
ax.set_axisbelow(True)
plt.title("Incidence of involuntary part time workers (OECD Labour Force Stat.)", fontsize=18)
plt.tick_params(labelsize=9, pad=4)
plt.ylabel("Percentage of Total Employment", fontsize=13)
plt.xticks(rotation=35, fontsize=7)
plt.yticks(fontsize=11)
plt.ylim([0,12])
ax.minorticks_on()
plt.grid(which='major',color='#999999',linestyle='-', axis="y")
plt.grid(which='minor',color='#cccccc',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. |
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 16:50, 16 September 2022 | | 1,080 × 720 (150 KB) | Yuasan | Uploaded own work with UploadWizard |
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