import matplotlib.pyplot as plt
import csv

data_csv = 'data.csv'

all_categories = dict()
with open ('data.csv', mode='r') as csv_file:
    csv_reader = csv.DictReader(csv_file)
    line_count = 0
    for row in csv_reader:
        if line_count == 0:
            line_count += 1
        category = row['Category']
        amount = row['Amount']
        if category not in all_categories:
            all_categories[category] = int(amount);
        else:
            all_categories[category] += int(amount);

        description = row['Description']
        line_count += 1

print(all_categories)

def func(pct, allvals):
    absolute = int(pct/100.*sum(allvals.values()))
    return "{:.1f}%\n(Rs {:d})".format(pct, absolute)

labels = all_categories.keys()
sizes = all_categories.values()

fig, ax = plt.subplots()
ax.pie(sizes, autopct=lambda pct: func(pct, all_categories), textprops=dict(color="w")),

total = sum(all_categories.values())
ax.legend(all_categories.keys(), loc="center left", bbox_to_anchor=(1, 0, 0.5, 1), title="Total: Rs {:d}".format(total))

ax.set_title("Goa Trip Expenses")

plt.show()