def get_chart(self, records, garden):
df = pd.DataFrame.from_records(records.values('recipes_count', 'recorded'),
coerce_float=True)
qdf = df.groupby('recorded').sum()['recipes_count']
return horizontal_bar(qdf, make_chart_name('recipes', garden),
xlabel='TOTAL RECIPES')
def get_chart(self, records, garden):
df = pd.DataFrame.from_records(records.values('crop__name', 'quantity',
'recorded'),
coerce_float=True)
qdf = df.groupby('crop__name').sum()['quantity']
return horizontal_bar(qdf, make_chart_name('cropcount', garden))
def get_chart(self, records, garden):
df = pd.DataFrame.from_records(records.values('recipes_count',
'recorded'),
coerce_float=True)
qdf = df.groupby('recorded').sum()['recipes_count']
return horizontal_bar(qdf,
make_chart_name('recipes', garden),
xlabel='TOTAL RECIPES')
def get_chart(self, records, garden):
df = pd.DataFrame.from_records(records.values('crop__name', 'weight', 'recorded'),
coerce_float=True)
qdf = df.groupby('crop__name').sum()['weight']
qdf = qdf.apply(lambda x: to_preferred_weight_units(x, garden, force_large_units=True).magnitude)
units = preferred_weight_units(garden, large=True)
return horizontal_bar(qdf, make_chart_name('harvestcount', garden),
xlabel=('%s harvested' % units).upper())
def get_chart(self, records, garden):
df = pd.DataFrame.from_records(records.values('crop__name', 'weight',
'recorded'),
coerce_float=True)
qdf = df.groupby('crop__name').sum()['weight']
qdf = qdf.apply(lambda x: to_preferred_weight_units(
x, garden, force_large_units=True).magnitude)
units = preferred_weight_units(garden, large=True)
return horizontal_bar(qdf,
make_chart_name('harvestcount', garden),
xlabel=('%s harvested' % units).upper())
def get_chart(self, records, garden):
df = pd.DataFrame.from_records(records.values('crop__name', 'quantity', 'recorded'),
coerce_float=True)
qdf = df.groupby('crop__name').sum()['quantity']
return horizontal_bar(qdf, make_chart_name('cropcount', garden))
def get_chart(self, records, garden):
df = pd.DataFrame.from_records(records.values('total_price', 'recorded'),
coerce_float=True)
qdf = df.groupby('recorded').sum()['total_price']
return horizontal_bar(qdf, make_chart_name('sales', garden))