File:Mental health workers in OECD.svg

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Original file(SVG file, nominally 1,440 × 720 pixels, file size: 128 KB)

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Summary

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Description
English: Mental Health workers per 100,000 population, 2019(or nearest)
Date
Source Own work , Data from OECD A New Benchmark for Mental Health Systems: Tackling the Social and Economic Costs of Mental Ill-Health
https://doi.org/10.1787/4ed890f6-en.
Author Yuasan
Permission
(Reusing this file)
CC-0

Licensing

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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

[edit]
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

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

fig, ax = plt.subplots(figsize=(16, 8))
x = np.arange(df.index.size)
ax.bar(x-0.2, df["Psychiatrists "] , color="#3b95d3", width=0.2, bottom=0)
ax.bar(x, df["Psychologists"] , color="#D676AB", width=0.2, bottom=0)
ax.bar(x+0.2, df["Mental Health Nurses"] , color="#9BBB59", width=0.2, bottom=0)

ax.legend(df.columns, fontsize=14, ncol=3, loc='center' ,bbox_to_anchor=(0, -0.22, 1., .102) )

ax.set_axisbelow(True)

plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.subplots_adjust(left=0.06, bottom=0.15, right=0.99, top=0.9)

plt.title("Mental health workers, 2019 or nearest year (OECD Health)", fontsize=23)
plt.tick_params(labelsize=10, pad=4)
plt.xticks(x, df.index, rotation=35, size=10)

plt.ylabel("per 1000 population", size=15)
plt.yticks(fontsize=11)

ax.minorticks_on()
plt.grid(which='major',color='#999999',linestyle='-', axis="y")
plt.grid(which='minor',color='#cccccc',linestyle='--', axis="y")
plt.subplots_adjust(top =0.88)

plt.savefig("image.svg")

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Date/TimeThumbnailDimensionsUserComment
current12:51, 12 December 2022Thumbnail for version as of 12:51, 12 December 20221,440 × 720 (128 KB)Yuasan (talk | contribs)2019 data
04:29, 16 February 2015Thumbnail for version as of 04:29, 16 February 2015743 × 401 (79 KB)Yuasan (talk | contribs)User created page with UploadWizard

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