def plot(self) -> Chart:
df = FermentableAnalysis(self.fermentable).amount_per_style()
if len(df) == 0:
raise NoDataException()
figure = PreAggregatedBoxPlot().plot(df, 'beer_style', 'amount_percent', 'Style', '% of Weight in Recipe')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = get_fermentable_amount_range_per_style(self.fermentable)
if len(df) == 0:
raise NoDataException()
figure = PreAggregatedBoxPlot().plot(df, 'style', 'amount_percent',
'Style', '% Amount')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = get_style_popular_hops(self.style, self.get_use_filter())
if len(df) == 0:
raise NoDataException()
figure = PreAggregatedBoxPlot().plot(df, 'hop', 'amount_percent',
'Hops by Popularity', '% Amount')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = get_hop_amount_range_per_use(self.hop)
if len(df) == 0:
raise NoDataException()
figure = PreAggregatedBoxPlot().plot(df, 'use', 'amount_percent',
'Usage', '% Amount')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = HopAnalysis(self.hop).amount_per_use()
if len(df) == 0:
raise NoDataException()
figure = PreAggregatedBoxPlot().plot(df, 'use', 'amount_percent',
'Usage', '% of Weight in Recipe')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
analysis = HopAmountAnalysis(self.recipe_scope)
df = analysis.per_hop(num_top=8)
if len(df) == 0:
raise NoDataException()
figure = PreAggregatedBoxPlot().plot(df, 'hop', 'amount_percent', None,
'% of Weight in Recipe')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = StyleAnalysis(
self.style).popular_hops_amount(use_filter=self.filter_param)
if len(df) == 0:
raise NoDataException()
figure = PreAggregatedBoxPlot().plot(df, 'hop', 'amount_percent', None,
'% of Weight in Recipe')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
(categories, types) = self.get_filter()
df = get_style_popular_fermentables(self.style, categories, types)
if len(df) == 0:
raise NoDataException()
figure = PreAggregatedBoxPlot().plot(df, 'fermentable',
'amount_percent',
'Fermentables by Popularity',
'% Amount')
return Chart(figure, title=self.get_chart_title())