def main():
expenses = [
Expense("Coffee", 2.45, 1),
Expense("Gas", 20, 4),
Expense("Lunch", 6.59, 1, spread=(0, 4))
]
#start pyplot
fig = plt.figure()
ax = plt.axes()
days = np.linspace(0, 14, 15)
totalCost = 0
totalCostPlot = [] #y's of the total cost at a particular point in time
for d in days:
for e in expenses: #go through every expense we listed
if d % e.rate == 0: #if its time to add another purchase
if e.spread != (0, 0):
randValue = random.uniform(
-e.spread[0],
e.spread[1]) #calculate the variance in the purchase
else:
randValue = 0
totalCost += (e.cost + randValue)
e.cumCost += (e.cost + randValue)
e.count += 1
e.plot.append(e.cumCost)
totalCostPlot.append(totalCost)
plt.plot(days, totalCostPlot, label="Total Expenses", color="black")
#plot expenses
for e in expenses:
plt.plot(days,
e.plot,
label=(e.name + ": $" + str(e.cost) + " ±\$(" +
str(e.spread[0]) + ", " + str(e.spread[1]) +
") every ~" + str(e.rate) + " days"))
#ticks
plt.xticks(days)
ax.yaxis.set_major_formatter(tick.StrMethodFormatter(
'${x:,.0f}')) #add the dollar signs to the y axis
ax.legend()
#labels
plt.title("The cost of your actions")
plt.xlabel("Days")
plt.ylabel("Cash Outflow (USD)")
plt.show()
def main():
myBudgeList = BudgeList(budget=1200)
# S9
expenses = Expense.Expenses()
expenses.read_expenses('data/spending_data.csv')
# S10
for expense in expenses.list:
myBudgeList.append(expense.amount)
# S11
print('The count of all expenses: ' + str(len(myBudgeList)))
def main():
myBudgetList = BudgetList(1200)
expenses = Expense.Expenses()
expenses.read_expenses('../data/spending_data.csv')
for expense in expenses.list:
myBudgetList.append(expense.amount)
print('The count of all expenses: ' + str(len(myBudgetList)))
for entry in myBudgetList:
print(entry)
fig, ax = plt.subplots()
labels = ['Expenses', 'Overages', 'Budget']
values = [
myBudgetList.sum_expenses, myBudgetList.sum_overages,
myBudgetList.budget
]
ax.bar(labels, values, color=['green', 'red', 'blue'])
ax.set_title('Your total expenses vs. total budget')
plt.show()
def main():
expenses = Expense.Expenses()
expenses.read_expenses('data/spending_data.csv')
divided_for_loop = expenses.categorize_for_loop()
divided_set_comp = expenses.categorize_set_comprehension()
if divided_set_comp != divided_for_loop:
print('Sets are NOT equal by == test')
for a, b in zip(divided_for_loop, divided_set_comp):
if not (a.issubset(b) and b.issubset(a)):
print("Sets are NOT equal by subset test")
print(
timeit.timeit(stmt="expenses.categorize_for_loop()",
setup='''
import Expense
expenses = Expense.Expenses()
expenses.read_expenses('data/spending_data.csv')
''',
number=100000,
globals=globals()))
print(
timeit.timeit(stmt="expenses.categorize_set_comprehension()",
setup='''
import Expense
expenses = Expense.Expenses()
expenses.read_expenses('data/spending_data.csv')
''',
number=100000,
globals=globals()))
fig, ax = plt.subplots()
labels = ['Necessary', 'Food', 'Unnecessary']
divided_expenses_sum = []
for category_exps in divided_set_comp:
divided_expenses_sum.append(sum(x.amount for x in category_exps))
ax.pie(divided_expenses_sum, labels=labels, autopct='%1.1f%%')
plt.show()
import Expense
import collections
import matplotlib.pyplot as plt
#keep in right dict.
expenses = Expense.Expenses()
expenses.read_expenses('data/spending_data.csv')
spending_categories = []
for expense in expenses.list:
spending_categories.append(expense.category)
spending_counter = collections.Counter(spending_categories)
top5 = spending_counter.most_common(5)
categories, count = zip(*top5)
fix, ax = plt.subplots()
ax.bar(categories, count)
ax.set_title("# of Purchases by Category")
plt.show()
def record(self):
self.expense = Expense(self.date, self.amount, self.perGallon,
self.location, self.details)
exit()
def read_file(temp_file):
"""Read file and turn to list of lists"""
line_string = ""
for line in temp_file:
line_string += line
return line_string
file_to_string = read_file(temp_file) # Call function to create string
file_to_string = '{' + file_to_string + '}' # add brackets for dict conversion
string_to_dictionary = eval(file_to_string) # Convert to dictionary
temp_file.close() # Close File
# Instantiate person and expense object
expense = Expense(**string_to_dictionary)
person = Person(first, last, age, income, tax_rate)
# Print Name and Age
print('\n')
print("Here's a summary of your financial picture and expenses")
print('\n')
name_age_dictionary = person.name_age_display()
print('Your Name & Age:')
for key, value in name_age_dictionary.items():
print(key, ':', value)
# Private method call - Print Income, Tax Rate, and After Tax Income
income_tax_dictionary = person._Person__income_tax_display()
print('Your Income, Tax Rate, and estimated after-Tax Income:')
for key, value in income_tax_dictionary.items():