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