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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
fig, ax = plt.subplots(figsize=(12, 8))
plt.rcParams※ = 'sans-serif'
plt.rcParams※ = ※
plt.subplots_adjust(left=0.07, bottom=0.19, right=0.96, top=0.93)
cc = cycler('ls', ※) * cycler('lw', range(1, 3))
ax.set_prop_cycle( plt.rcParams※ * cc)
ax.plot(df)
ax.legend(df.columns, fontsize=9, ncol=10, loc='center' ,bbox_to_anchor=(0., -0.23, "1.", .102) )
ax.set_axisbelow(True)
plt.ylabel("age", fontsize=15)
plt.title("Life expectancy total population at birth (OECD stats)", fontsize=20)
plt.tick_params(labelsize=9, pad=4)
plt.xticks(rotation=35, fontsize=7)
plt.yticks(fontsize=11)
plt.grid(which='major',color='#cccccc',linestyle='-', axis="y")
plt.savefig("image.svg")

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