class BuyorRentApp(App):
'''The kivy App that runs the main root. All we do is build a catalog
widget into the root.'''
global datapd
global dataHeader
global lev, levI, n_income, savings0, m_term, m_termI, t_max, p_price, p_priceI, isInv, notRent
global max_year
max_year = 30
m_rate = 0.04
mkt_return = 0.06
prop_tax = 0.0075
infl = 0.02
price_appr30 = 0.25
down_p = p_price*0.2
down_pI = p_priceI * 0.2
lev = (p_price - down_p)/down_p
levI = (p_priceI - down_pI)/down_pI
n_income = 50000
savings0 = 250000
m_term = 25
m_termI = 25
t_max = 30
p_price = 500000
p_priceI = 500000
isInv = 0
notRent = 0
datapd, n_data = hc.simulate(lev, levI, n_income, savings0, m_term, t_max, p_price, m_termI, p_priceI, isInv,
notRent)
dataHeader = datapd.columns.values
colz = 2
#rowz = 10
def build(self):
return Catalog()
'''
m_data, time, m_pmt, m_ipmt, m_ppmt = housingCalc.mort(lev, p_price, savings0, m_term, t_max)
for i in range(t_max*12):
if time[i,0] == 0:
dp = p_price/(lev + 1)
savings[0] = savings0 - dp
eq[0] = dp
nw[0] = savings0
else:
savings[i] = savings[i-1] + n_income/12 - m_pmt[i]
eq[i] = eq[i-1] + m_ppmt[i]
nw[i] = eq[i] + savings[i]
n_varData = np.array((savings, eq, nw)).T
data1 = pd.DataFrame(n_varData, columns=['Savings', 'Equity', 'Net Wealth'])
b = data1.ix[:, 0:3]
b_np = np.asmatrix(b)
'''
data, n_data = housingCalc.simulate(lev, levI, n_income, savings0, m_term,
t_max, p_price, m_termI, p_priceI, isInv,
notRent)
#data = pd.concat([data, m_data], axis=1)
def populate(self):
datapd, n_data = hc.simulate(lev, levI, n_income, savings0, m_term, t_max, p_price, m_termI, p_priceI, isInv,
notRent)
self.data = [{'value': ''.join(str(int(np.round(x))))} for x in
np.nditer(datapd.ix[:, [0, 2, 21, 21, 21, 21, 21, 3, 10, 21]], order='C')]