import matplotlib.pyplot as plt
import pandas as pd
from cycler import cycler

df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
df = df.fillna(0)
df = df.sort_values(by=["General government"], ascending=True)
df = df.drop('General government', axis=1)

plt.rcParams['axes.prop_cycle'] = cycler(color=[ '#6794B7', '#D480E5', '#E69717', '#9BBB59', '#d7352b', '#ffd924', '#a652c1', '#686d69'])

fig, ax = plt.subplots(figsize=(16, 8))
for i in range( len(df.columns) ):
	ax.bar(df.index, df.T.iloc[i] , width=0.7, bottom=df.T.iloc[:i].sum())

ax.legend(df.columns, fontsize=12, ncol=6, loc='center' ,bbox_to_anchor=(0., -0.21, 1, 0.1) )
ax.set_axisbelow(True)

plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.subplots_adjust(left=0.06, bottom=0.15, right=0.99, top=0.93)

plt.title("Tax revenue as % of GDP,2022 (OECD Revenue)", fontsize=22)
plt.tick_params(labelsize=10, pad=4)
plt.ylabel("% of GDP", size=18)
plt.ylim([0,50])
plt.xlim(-0.5, len(df)-.5) 

plt.xticks(rotation=60,fontsize=9)
plt.yticks(fontsize=13)

plt.minorticks_on()
plt.grid(which='major',color='#999999',linestyle='-', axis="y")
plt.grid(which='minor',color='#cccccc',linestyle='--', axis="y")
	
plt.savefig("image.svg")