File:Trade union membership rate in OECD.svg

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Original file (SVG file, nominally 1,080 × 720 pixels, file size: 206 KB)

Captions

Captions

Trade union membership rate in OECD

{{Current} }==Summary==

Description
English: Trade union membership rate in OECD
Date
Source Own work, Data from OECD https://stats.oecd.org/Index.aspx?DataSetCode=TUD
Author Yuasan
Permission
(Reusing this file)
CC-0

Licensing

[edit]
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

[edit]
import numpy as np
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.rcParams["axes.prop_cycle"] = plt.cycler("color", plt.get_cmap("tab20")(np.linspace(0,1,20)))

plt.subplots_adjust(left=0.06, bottom=0.16, right=0.97, top=0.95)

cc = cycler('ls', ['-', '--']) * cycler('lw', range(2, 3))
ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] * cc)
ax.plot(df)
ax.legend(df.columns, fontsize=9, ncol=10, loc='center' ,bbox_to_anchor=(0, -0.18, 1, 0.102),  frameon=True, facecolor="#eeeeee")
ax.set_axisbelow(True)

plt.ylabel("percentage of employee", fontsize=12)
plt.ylim([0,90])
plt.xlim(-0.5, len(df)-.5) 

plt.title("Trade union membership rate (OECD Labour database)", fontsize=18)
plt.tick_params(labelsize=9, pad=4)
plt.xticks(rotation=35, fontsize=7)
plt.yticks(fontsize=11)

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

plt.savefig("image.svg")

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Date/TimeThumbnailDimensionsUserComment
current13:02, 2 June 2023Thumbnail for version as of 13:02, 2 June 20231,080 × 720 (206 KB)Yuasan (talk | contribs)Uploaded own work with UploadWizard

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