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") 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")