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import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
df = df.fillna(0)
df = df.sort_values("Personal")

fig, ax = plt.subplots(figsize=(16, 8))
x = np.arange(df.index.size)
ax.bar(x-0.15, df["Corporate"] , color="#3b95d3", width=0.3, bottom=0)
ax.bar(x 0.15, df["Personal"] , color="#D676AB", width=0.3, bottom=0)

ax.legend( ("Corporate", "Personal"),
		 fontsize=20,  loc='upper left',)
ax.set_axisbelow(True)

plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.subplots_adjust(left=0.05, bottom=0.1, right=0.96, top=0.9)

plt.title("Tax rates on dividend income, 2022 (OECD Stat)", fontsize=23)
plt.tick_params(labelsize=10, pad=4)
plt.xticks(x, df.index, rotation=35, size=10)

plt.ylabel("Percentage", size=15)
plt.yticks(fontsize=11)

ax.minorticks_on()
plt.grid(which='major',color='#999999',linestyle='-', axis="y")
plt.grid(which='minor',color='#cccccc',linestyle='--', axis="y")
plt.subplots_adjust(top =0.88)

plt.savefig("image.svg")

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