import numpy as np
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")
df = df.T

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=0.06, bottom=0.16, right=0.98, top=0.95)

cc = cycler('ls', ['-', '--', ':']) 
ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] * cc)
ax.plot(df, linewidth=1.8)
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 of GDP", fontsize=12)
plt.ylim([2,14])
plt.xlim(-0.5, len(df)-.5) 

plt.title("Health expenditure, as share of GDP (OECD Health Statistics)", fontsize=16)
plt.tick_params(labelsize=9, pad=4)
plt.xticks(rotation=35, fontsize=7)
plt.yticks(fontsize=11)

ax.minorticks_on()
#ax.xaxis.set_major_locator(ticker.MultipleLocator(2))
plt.grid(which='major',color='#fafafa',linestyle='-', axis="x")
plt.grid(which='major',color='#999999',linestyle='-', axis="y")
plt.grid(which='minor',color='#eeeeee',linestyle='--', axis="y")

plt.savefig("image.svg")