This file may be updated to reflect new information. If you wish to use a specific version of the file without new updates being mirrored, please upload the required version as a separate file.

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.subplots_adjust(left=0.07, bottom=0.13, right=0.96, top=0.93)

cc = cycler('ls', ['-', '--']) * cycler('lw', range(1, 3))
ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] * cc)
ax.plot(df)
ax.legend(df.columns, fontsize=10, ncol=8, loc='center' ,bbox_to_anchor=(0, -0.23, 1, 0.24) )
ax.set_axisbelow(True)

plt.title("Gender wage gap (OECD stats), Employees", fontsize=20)
plt.tick_params(labelsize=9, pad=4)
plt.ylabel("Percentage", fontsize=13)
plt.xticks(rotation=35, fontsize=7)
plt.yticks(fontsize=11)
plt.grid(which='major',color='#cccccc',linestyle='-', axis="y")

plt.savefig("image.svg")

Nik, lan honen egileak, argitaratzen dut ondorengo lizentzia pean:

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