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diet4.py
#!/usr/bin/env python3.7
# Copyright 2020, Gurobi Optimization, LLC
# Read diet model data from an Excel spreadsheet (diet.xls).
# Pass the imported data into the diet model (dietmodel.py).
#
# Note that this example reads an external data file (..\data\diet.xls).
# As a result, it must be run from the Gurobi examples/python directory.
#
# This example requires Python package 'xlrd', which isn't included
# in most Python distributions. You can obtain it from
# http://pypi.python.org/pypi/xlrd.
import os
import xlrd
import dietmodel
book = xlrd.open_workbook(os.path.join("..", "data", "diet.xls"))
sh = book.sheet_by_name("Categories")
categories = []
minNutrition = {}
maxNutrition = {}
i = 1
while True:
try:
c = sh.cell_value(i, 0)
categories.append(c)
minNutrition[c] = sh.cell_value(i, 1)
maxNutrition[c] = sh.cell_value(i, 2)
i = i + 1
except IndexError:
break
sh = book.sheet_by_name("Foods")
foods = []
cost = {}
i = 1
while True:
try:
f = sh.cell_value(i, 0)
foods.append(f)
cost[f] = sh.cell_value(i, 1)
i = i + 1
except IndexError:
break
sh = book.sheet_by_name("Nutrition")
nutritionValues = {}
i = 1
for food in foods:
j = 1
for cat in categories:
nutritionValues[food, cat] = sh.cell_value(i, j)
j += 1
i += 1
dietmodel.solve(categories, minNutrition, maxNutrition,
foods, cost, nutritionValues)
