File:Crude marriage rate in OECD.svg
![File:Crude marriage rate in OECD.svg](https://upload.wikimedia.org/wikipedia/commons/thumb/0/08/Crude_marriage_rate_in_OECD.svg/800px-Crude_marriage_rate_in_OECD.svg.png?20230106133741)
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Crude marriage rate in OECD.svg
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Summary
editDescriptionCrude marriage rate in OECD.svg |
English: Crude marriage rate in OECD.svg |
Date | |
Source |
Own work, Data from OECD Family Database https://www.oecd.org/els/family/database.htm |
Author | Yuasan |
Permission (Reusing this file) |
CC-0 |
Licensing
editI, 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.
http://creativecommons.org/publicdomain/zero/1.0/deed.enCC0Creative Commons Zero, Public Domain Dedicationfalsefalse |
Graph data
editimport matplotlib as mpl
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=(14, 5))
x = np.arange(df.index.size)
cmap = mpl.colormaps['tab20c']
ax.bar(x-0.3, df["1970"] , color=cmap(3), width=0.2, bottom=0)
ax.bar(x-0.1, df["1995"] , color=cmap(2), width=0.2, bottom=0)
ax.bar(x+0.1, df["2019"] , color=cmap(1), width=0.2, bottom=0)
ax.bar(x+0.3, df["2020"] , color=cmap(0), width=0.2, bottom=0)
ax.legend(df.columns, fontsize=12, ncol=4, loc='upper right', frameon=True, facecolor="#dddddd")
ax.set_axisbelow(True)
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.subplots_adjust(left=0.05, bottom=0.17, right=0.99, top=0.9)
plt.title("Crude marriage rate (OECD Family Database)", fontsize=20)
plt.tick_params(labelsize=10, pad=4)
plt.xticks(x, df.index, rotation=80, size=8)
plt.ylabel("Marriages per 1000 population", size=11)
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/Time | Thumbnail | Dimensions | User | Comment | |
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current | 13:37, 6 January 2023 | ![]() | 1,260 × 450 (157 KB) | Yuasan (talk | contribs) | Uploaded own work with UploadWizard |
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Width | 1008pt |
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Height | 360pt |