import matplotlib.pyplot as pltfrom cycler import cyclerimport pandas as pdimport matplotlib.ticker as tickerdf = pd.read_csv("data.tsv", index_col=0 , sep = "\t")df1 = df.reindex(columns=['All'])fig, ax = plt.subplots(figsize=(8, 4))plt.rcParams['font.family'] = 'sans-serif'plt.rcParams['font.sans-serif'] = ['Noto Sans Display']plt.subplots_adjust(left=0.08, bottom=0.08, right=0.96, top=0.91)ax.plot(df)ax.legend(df.columns, fontsize=10, ncol=2, loc='upper right', frameon=True, facecolor="#dddddd")ax.grid(which="both")ax.set_axisbelow(True)ax.axhspan(0,1, color="lightblue", alpha=0.6 , zorder=-10)ax.margins(0.01)ax.xaxis.set_major_locator(ticker.MultipleLocator(2))plt.title("The effective job offer rate in Japan (MHLW)", fontsize=16)plt.tick_params(labelsize=9, pad=4)plt.tick_params(axis='x', labelsize=8, rotation=40)plt.ylabel("Job offer ratio", fontsize=13)plt.yticks(fontsize=11)plt.ylim([0, 2.5])plt.minorticks_on()plt.grid(which='major',color='#cccccc',linestyle='-', axis="x")plt.grid(which='minor', linestyle='None', axis="x")plt.grid(which='major',color='#cccccc',linestyle='-', axis="y")plt.grid(which='minor',color='#eeeeee',linestyle='--', axis="y")plt.savefig("image.svg")