File:Physicians and Doctor consultants in OECD.svg
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Summary[edit]
| Description | Physicians and Doctor consultants per capita, 2018 |
| Date | |
| Source |
Own work, Data from OECD Health statistics |
| 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 licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
graph data[edit]
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.ticker as ticker
import matplotlib.cm as cm
df1 = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
df2 = pd.read_csv("data2.tsv", index_col=0 , sep = "\t")
df = pd.merge(df1, df2, on='Country', how='outer')
fig, ax = plt.subplots(figsize=(8, 8))
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.subplots_adjust(left=0.1, bottom=0.1, right=0.97, top=0.91)
cmap = cm.get_cmap('tab20b')
i = 0
for k, v in df.iterrows():
plt.scatter(v[0] , v[1] , color=cmap(i) )
ax.annotate(k, xy=(v[0]+0.03,v[1]+0.03), color=cmap(i) , size=10, alpha=0.8)
i = 0 if i>len(cmap.colors) else i+1
plt.title("Physicians and Doctor consultants per capita, 2018 \n(OECD Health Statistics)", fontsize=16)
plt.xlabel("Physicians per capita (person)", fontsize=12)
plt.ylabel("Doctors cousultations per capita (Number)", fontsize=12)
plt.xticks(fontsize=8)
plt.yticks(fontsize=8)
plt.xlim([1,6])
plt.ylim([1,18])
ax.xaxis.set_major_locator(ticker.MultipleLocator(1))
ax.xaxis.set_minor_locator(ticker.MultipleLocator(0.25))
ax.yaxis.set_major_locator(ticker.MultipleLocator(1))
ax.set_axisbelow(True)
plt.grid(which='major',color='#eeeeee',linestyle='-', axis="x", zorder=-1)
plt.grid(which='major',color='#eeeeee',linestyle='-', axis="y", zorder=-1)
plt.grid(which='minor',color='#fafafa',linestyle='-', axis="x", zorder=-1)
plt.savefig("image.svg")File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 12:36, 30 June 2023 | | 720 × 720 (93 KB) | Yuasan (talk | contribs) | typo |
| 12:34, 30 June 2023 |  | 720 × 720 (92 KB) | Yuasan (talk | contribs) | 2018 data | |
| 05:05, 29 December 2013 |  | 493 × 479 (75 KB) | Yuasan (talk | contribs) | clearly | |
| 07:11, 23 December 2013 |  | 480 × 467 (1.33 MB) | Yuasan (talk | contribs) | User created page with UploadWizard |
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File usage on Commons
The following page uses this file:
- File:Oecd-doctorconsult2013.svg (file redirect)
