def plot_diet(start, end):
data = logging.get_data(start, end)
cals, fat, carbs, protein, dates = analyze.get_macros(data)
for l in (cals, fat, carbs, protein, dates):
l = np.array(l)
# Arrange graph dimensions
N = len(dates)
ind = np.arange(N) + 0.3 # the x locations for the groups
width = 0.4 # the width of the bars
# Initialize figure
fig = plot.figure()
# Set up bar pieces
p1 = plot.bar(ind, fat, width, color="green")
p2 = plot.bar(ind, carbs, width, color="blue", bottom=fat)
p3 = plot.bar(ind, protein, width, color="red", bottom=np.add(carbs,fat))
# Set up graph labels
plot.ylabel('Calories')
plot.title('Calories by macronutrient', y = 1.05)
plot.xticks(ind+width/2., format_labels(dates))
plot.yticks(np.arange(0,5000,500))
# Set up graph legend
lgd = plot.legend([p1, p2, p3], ["Fat", "Carbs", "Protein"],
loc='upper center',
bbox_to_anchor=(0.5, 1.05),
ncol=3,
fancybox=True,
shadow=True)
plot.show()
def plot_diet(start, end):
data = logging.get_data(start, end)
cals, fat, carbs, protein, dates = analyze.get_macros(data)
for l in (cals, fat, carbs, protein, dates):
l = np.array(l)
# Arrange graph dimensions
N = len(dates)
ind = np.arange(N) + 0.3 # the x locations for the groups
width = 0.4 # the width of the bars
# Initialize figure
fig = plot.figure()
# Set up bar pieces
p1 = plot.bar(ind, fat, width, color="green")
p2 = plot.bar(ind, carbs, width, color="blue", bottom=fat)
p3 = plot.bar(ind, protein, width, color="red", bottom=np.add(carbs, fat))
# Set up graph labels
plot.ylabel('Calories')
plot.title('Calories by macronutrient', y=1.05)
plot.xticks(ind + width / 2., format_labels(dates))
plot.yticks(np.arange(0, 5000, 500))
# Set up graph legend
lgd = plot.legend([p1, p2, p3], ["Fat", "Carbs", "Protein"],
loc='upper center',
bbox_to_anchor=(0.5, 1.05),
ncol=3,
fancybox=True,
shadow=True)
plot.show()
def display_average_calories(start, end):
data = logging.get_data(start, end)
return analyze.get_average_calories(data)
def display_meals(start, end):
data = logging.get_data(start, end)
return data
def display_average_calories(start, end):
data = logging.get_data(start, end)
return analyze.get_average_calories(data)
def display_meals(start, end):
data = logging.get_data(start, end)
return data
