def plot(self) -> Chart:
df = FermentableAnalysis(self.fermentable).common_styles_absolute()
if len(df) == 0:
raise NoDataException()
figure = BarChart().plot(df, 'beer_style', 'recipes', None, 'Total Number of Recipes')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = FermentableAnalysis(self.fermentable).popularity()
if len(df) <= 1: # 1, because a single data point is also meaningless
raise NoDataException()
figure = LinesChart().plot(df, 'month', 'recipes_percent', 'fermentable', 'Month/Year', '% of All Recipes')
return Chart(figure, height=Chart.DEFAULT_HEIGHT * 0.66, title=self.get_chart_title())
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 = FermentableAnalysis(self.fermentable).common_styles_relative()
if len(df) == 0:
raise NoDataException()
figure = BarChart().plot(df, 'beer_style', 'recipes_percent', None, 'Used in % of the Style\'s Recipes')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = HopAnalysis(self.hop).amount_range()
if len(df) == 0:
raise NoDataException()
figure = RangeBoxPlot().plot(df, 'amount_percent')
return Chart(figure, 500, 350, title=self.get_chart_title())
def plot(self) -> Chart:
df = get_fermentable_amount_range(self.fermentable)
if len(df) == 0:
raise NoDataException()
figure = RangeBoxPlot().plot(df, 'amount_percent')
return Chart(figure, 500, 350, title=self.get_chart_title())
def plot(self) -> Chart:
df = HopAnalysis(self.hop).metric_histogram('beta')
if len(df) == 0:
raise NoDataException()
figure = PreAggregateHistogramChart().plot(df, 'beta', 'count')
return Chart(figure, 500, 350, title=self.get_chart_title())
def plot(self) -> Chart:
df = get_style_metric_values(self.style, 'fg')
if len(df) == 0:
raise NoDataException()
figure = PreAggregateHistogramChart().plot(df, 'fg', 'count')
return Chart(figure, 500, 350, title=self.get_chart_title())
def plot(self) -> Chart:
df = FermentableAnalysis(self.fermentable).metric_histogram('color_lovibond')
if len(df) == 0:
raise NoDataException()
figure = PreAggregateHistogramChart().plot(df, 'color_lovibond', 'count')
return Chart(figure, 500, 350, 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 = get_hop_usage(self.hop)
if len(df) == 0:
raise NoDataException()
figure = BarChart(add_margin=False).plot(df, 'use', 'recipes', None,
None)
return Chart(figure, 500, 350, title=self.get_chart_title())
def plot(self) -> Chart:
analysis = RecipesTrendAnalysis(RecipeScope())
df = analysis.trending_styles(trend_window_months=self.period_months)
if len(df) == 0:
raise NoDataException()
figure = LinesChart(force_legend=True).plot(df, 'month', 'recipes_percent', 'beer_style', None, '% of All Recipes')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = get_fermentable_common_styles_absolute(self.fermentable)
if len(df) == 0:
raise NoDataException()
figure = BarChart().plot(df, 'style_name', 'recipes', 'Style',
'Number Recipes')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = get_fermentable_common_styles_relative(self.fermentable)
if len(df) == 0:
raise NoDataException()
figure = BarChart().plot(df, 'style_name', 'recipes_percent', 'Style',
'Used in % Recipes')
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:
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:
analysis = RecipesPopularityAnalysis(RecipeScope())
df = analysis.popularity_per_style(num_top=8, top_months=self.period_months)
if len(df) <= 1: # 1, because a single data point is also meaningless
raise NoDataException()
figure = LinesChart(force_legend=True).plot(df, 'month', 'recipes_percent', 'beer_style', 'Month/Year', '% of All Recipes')
return Chart(figure, height=Chart.DEFAULT_HEIGHT * 0.66, title=self.get_chart_title())
def plot(self) -> Chart:
df = get_style_trending_hops(self.style)
if len(df) == 0:
raise NoDataException()
figure = LinesChart().plot(df, 'month', 'recipes_percent', 'hop',
'Month/Year', '% Style Recipes')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = HopAnalysis(self.hop).pairings()
if len(df) == 0:
raise NoDataException()
figure = PreAggregatedPairsBoxPlot().plot(df, 'pairing', 'hop',
'amount_percent', None,
'% of Weight in Recipe')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = YeastAnalysis(self.yeast).trending_hops()
if len(df) == 0:
raise NoDataException()
figure = LinesChart(force_legend=True).plot(df, 'month',
'recipes_percent', 'hop',
None, '% of Yeast Recipes')
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:
analysis = CommonStylesAnalysis(self.recipe_scope)
df = analysis.common_styles_absolute(num_top=20)
if len(df) == 0:
raise NoDataException()
figure = BarChart().plot(df, 'beer_style', 'recipes', None,
'Total Number of Recipes')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
analysis = CommonStylesAnalysis(self.recipe_scope)
df = analysis.common_styles_relative(num_top=20)
if len(df) == 0:
raise NoDataException()
figure = BarChart().plot(df, 'beer_style', 'recipes_percent', None,
'% of the Style\'s Recipes')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = get_fermentable_pairing_fermentables(self.fermentable)
if len(df) == 0:
raise NoDataException()
figure = PreAggregatedPairsBoxPlot().plot(df, 'pairing', 'fermentable',
'amount_percent', None,
'% Amount')
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:
df = get_most_popular_hops()
if len(df) <= 1: # 1, because a single data point is also meaningless
raise NoDataException()
figure = LinesChart().plot(df, 'month', 'recipes_percent', 'hop',
'Month/Year', '% Recipes')
return Chart(figure,
height=Chart.DEFAULT_HEIGHT * 0.66,
title=self.get_chart_title())
def plot(self) -> Chart:
analysis = RecipesTrendAnalysis(self.recipe_scope)
df = analysis.trending_hops(trend_window_months=24)
if len(df) == 0:
raise NoDataException()
figure = LinesChart(force_legend=True).plot(df, 'month',
'recipes_percent', 'hop',
None, '% of All Recipes')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = HopAnalysis(self.hop).popular_yeasts()
if len(df) == 0:
raise NoDataException()
figure = LinesChart(force_legend=True).plot(df, 'month',
'recipes_percent', 'yeast',
None, '% of Recipes')
return Chart(figure,
height=Chart.DEFAULT_HEIGHT * 0.66,
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())
