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graph data

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")

Litsenziyalash

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