initial

data.csv

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+Category,Amount,Description
+Travel,1000,Cab from jindal to blr airport
+Travel,29306,Flights
+Accomodation,18250,Hotel stay
+Travel,1500,Cab to laxmi empire
+Travel,250,Cab to restaurent lunch
+Food,730,Lunch
+Travel,300,Auto to kayak
+Fun,4200,Kayak
+Travel,250,Cab to hotel
+Food,210,Snacks
+Travel,250,Cab to farmhouse
+Food,1580,Farmhouse dinner
+Travel,350,Auto to hotel
+Travel,250,Hotel to Benaulim
+Travel,250,Benaulim to hotel
+Food,803,Lunch at hotel
+Travel,600,Hotel to cavelossim
+Food,680,Evening snacks at shack
+Food,1280,Dinner at shack
+Travel,800,cavelossim to hotel
+Other,100,Cab cancellation
+Travel,250,Cab to benaulim
+Food,1510,Lunch at beach
+Travel,743,Cab to airport
+Food,125,Water bottle
+Travel,1422,Cab to Jindal

main.py

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+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()