import numpy as npimport matplotlib.pyplot as pltfrom cycler import cyclerimport pandas as pddf = pd.read_csv("data.tsv", index_col=0 , sep = "\t")df = df.Tdf = 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.rcParams["axes.prop_cycle"] = plt.cycler("color", plt.get_cmap("tab20")(np.linspace(0,1,20)))plt.subplots_adjust(left=0.07, bottom=0.16, right=0.97, top=0.95)cc = cycler('ls', ['-', '--']) * cycler('lw', range(1, 2))ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] * cc)ax.plot(df)ax.legend(df.columns, fontsize=9, ncol=10, loc='center' ,bbox_to_anchor=(0, -0.18, 1, 0.102), frameon=True, facecolor="#eeeeee")ax.set_axisbelow(True)plt.ylabel("percentage", fontsize=15)plt.ylim([0,20])plt.xlim(-0.5, len(df)-.5) plt.title("Unemployment rate, all-age (OECD Labour Force)", fontsize=18)plt.tick_params(labelsize=9, pad=4)plt.xticks(rotation=35, fontsize=7)plt.yticks(fontsize=11)ax.minorticks_on()plt.grid(which='major',color='#999999',linestyle='-', axis="y")plt.grid(which='minor',color='#e3e3e3',linestyle='--', axis="y")plt.savefig("image.svg")