import matplotlib.pyplot as plt from cycler import cycler import pandas as pd import matplotlib.ticker as ticker df = pd.read_csv("data.tsv", index_col=0 , sep = "\t").T df = df.interpolate() fig, ax = plt.subplots(figsize=(10, 6)) plt.rcParams['font.family'] = 'sans-serif' plt.rcParams['font.sans-serif'] = ['Noto Sans Display'] plt.subplots_adjust(left=0.09, bottom=0.16, right=0.96, top=0.90) ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] ) ax.plot(df, lw=2) ax.legend(df.columns, fontsize=10, ncol=10, loc='center' ,bbox_to_anchor=(0., -0.19, 1, .102) ,facecolor="#eeeeee") ax.set_axisbelow(True) ax.xaxis.set_major_locator(ticker.MultipleLocator(2)) ax.margins(0.01) plt.ylabel("Disposable income Gini", fontsize=12) plt.ylim([0.25, 0.4]) plt.title("Gini for post taxes and transfers in G7 countries \n(OECD Income Distribution Database)", fontsize=16) plt.tick_params(labelsize=9, pad=4) plt.xticks(rotation=35, fontsize=8) plt.yticks(fontsize=10) plt.grid(which='major',color='#eeeeee',linestyle='--', axis="x") plt.grid(which='major',color='#cccccc',linestyle='-', axis="y") plt.savefig("image.svg")