import matplotlib.pyplot as plt from cycler import cycler import pandas as pd import matplotlib.ticker as ticker import numpy as np  df = pd.read_csv("data.tsv", index_col=0 , sep = "\t").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'] cols = np.concatenate([plt.get_cmap("tab20")(np.linspace(0,1,20)),  plt.get_cmap("tab20c")(np.linspace(0,1,20)) ]) plt.rcParams["axes.prop_cycle"] = plt.cycler("color",cols)  plt.subplots_adjust(left=0.05, bottom=0.13, right=0.96, top=0.95)  cc = cycler('ls', ['-', '--'] ) ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] *cc) ax.plot(df, lw=1.5 ) ax.set_axisbelow(True) ax.axhspan(0, 2.1, color="lightblue", alpha=0.4 , zorder=-10)	 ax.xaxis.set_major_locator(ticker.MultipleLocator(2)) ax.margins(0.01)  fig.legend(df.columns, fontsize=8, ncol=10, loc='lower center' , frameon=True, facecolor="#eeeeee") plt.title("Total fertility rate in OECD (OECD Family Database)", fontsize=16) plt.tick_params(labelsize=9, pad=4) plt.ylabel("Children", fontsize=11) plt.xticks(rotation=35, fontsize=9) plt.yticks(fontsize=11) plt.ylim([0.8 ,3.5])  ax.minorticks_on() plt.grid(which='major',color='#999999',linestyle='-', axis="y") plt.grid(which='minor',color='#cccccc',linestyle='--', axis="y")  plt.savefig("image.svg")