Arthur Street
arthur@artana.com.au
Crop | Cost/kg |
---|---|
apple | 0.15 |
pear | 0.20 |
orange | 0.22 |
Crop | Price/kg |
---|---|
pear | 2.60 |
apple | 3.10 |
orange | 2.80 |
Crop | Cost/kg |
---|---|
apple | 0.15 |
pear | 0.20 |
orange | 0.22 |
Crop | Price/kg |
---|---|
apple | 3.10 |
pear | 2.60 |
orange | 2.80 |
banana | 1.50 |
Farm | Crop | Cost/kg |
---|---|---|
Farm A | apple | 0.15 |
pear | 0.20 | |
orange | 0.22 | |
Farm B | apple | 0.12 |
pear | 0.18 | |
orange | 0.25 |
Crop | Price/kg |
---|---|
pear | 2.60 |
apple | 3.10 |
orange | 2.80 |
costs = pd.read_csv('costs.csv')
orcosts = pd.read_excel('cashflows.xlsx')
data.groupby(keys).apply(sim, N)
def sim(g, size):
return DataFrame(normal(g.mean,g.sd,
size=size))
sim['revenue'] = sim['volume'] * sim['price']
cashflows.hist()
cashflows.to_excel('report.xlsx')
https://bitbucket.org/artstr/montepylib