import matplotlib.pyplot as plt from cycler import cycler import pandas as pd df = pd.read_csv("data.tsv", index_col=0 , sep = "\t").T df1 = df.filter(axis="columns", like="2006") df2 = df.filter(axis="columns", like="2016") fig, ax = plt.subplots(figsize=(5, 5)) plt.rcParams['font.family'] = 'sans-serif' plt.rcParams['font.sans-serif'] = ['Noto Sans Display'] plt.subplots_adjust(left=0.14, bottom=0.20, right=0.96, top=0.90) ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] ) ax.plot(df1, lw=2 , ls=":" ) ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] ) ax.plot(df2, lw=2 ) ax.set_axisbelow(True) ax.margins(0.05) plt.xlabel("age") plt.ylabel("Wage index (20-24age = 100)", fontsize=10) plt.ylim([100, 300]) fig.legend(df.columns, fontsize=8, ncol=3, loc='lower center',facecolor="#eeeeee") plt.title("The seniority-based wage system in Japan \n(OECD 2019)", fontsize=12) plt.tick_params(labelsize=9, pad=4) plt.xticks(rotation=35, fontsize=8) plt.yticks(fontsize=9) plt.grid(which='major',color='#eeeeee',linestyle='--', axis="x") plt.grid(which='major',color='#cccccc',linestyle='-', axis="y") plt.savefig("image.svg")