File:Fertility rate in OECD.svg
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Summary
[edit]DescriptionFertility rate in OECD.svg |
English: Total Fertility rate in OECD |
Date | |
Source |
Own work, Data from OECD Family database https://stats.oecd.org/Index.aspx?DataSetCode=FAMILY |
Author | Yuasan |
Permission (Reusing this file) |
CC-0 |
Licensing
[edit]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
[edit]import matplotlib.pyplot as plt
from cycler import cycler
import pandas as pd
import matplotlib.ticker as ticker
import numpy as np
df = pd.read_csv("data.tsv", index_col=0 , sep = "\t").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']
cols = np.concatenate([plt.get_cmap("tab20")(np.linspace(0,1,20)), plt.get_cmap("tab20c")(np.linspace(0,1,20)) ])
plt.rcParams["axes.prop_cycle"] = plt.cycler("color",cols)
plt.subplots_adjust(left=0.05, bottom=0.13, right=0.96, top=0.95)
cc = cycler('ls', ['-', '--'] )
ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] *cc)
ax.plot(df, lw=1.5 )
ax.set_axisbelow(True)
ax.axhspan(0, 2.1, color="lightblue", alpha=0.4 , zorder=-10)
ax.xaxis.set_major_locator(ticker.MultipleLocator(2))
ax.margins(0.01)
fig.legend(df.columns, fontsize=8, ncol=10, loc='lower center' , frameon=True, facecolor="#eeeeee")
plt.title("Total fertility rate in OECD (OECD Family Database)", fontsize=16)
plt.tick_params(labelsize=9, pad=4)
plt.ylabel("Children", fontsize=11)
plt.xticks(rotation=35, fontsize=9)
plt.yticks(fontsize=11)
plt.ylim([0.8 ,3.5])
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")
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 14:09, 17 August 2023 | 1,080 × 720 (157 KB) | Yuasan (talk | contribs) | stretch | |
12:22, 30 December 2022 | 1,080 × 720 (212 KB) | Yuasan (talk | contribs) | Uploaded own work with UploadWizard |
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Height | 576pt |