def plot(self) -> Chart:
df = StyleAnalysis(self.style).popular_fermentables_amount(
type_filter=self.filter_param)
if len(df) == 0:
raise NoDataException()
figure = PreAggregatedBoxPlot().plot(df, 'fermentable',
'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())
def plot(self) -> Chart:
analysis = RecipesTrendAnalysis(self.recipe_scope)
df = analysis.trending_styles(trend_window_months=24)
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 = YeastAnalysis(self.yeast).popular_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,
height=Chart.DEFAULT_HEIGHT * 0.66,
title=self.get_chart_title())
def plot(self) -> Chart:
projection = YeastProjection()
if self.filter_param in YEAST_FILTER_TO_TYPES:
projection.types = YEAST_FILTER_TO_TYPES[self.filter_param]
analysis = RecipesPopularityAnalysis(RecipeScope())
df = analysis.popularity_per_yeast(projection, 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', 'yeast', 'Month/Year', '% of All Recipes')
return Chart(figure, height=Chart.DEFAULT_HEIGHT * 0.66, title=self.get_chart_title())
def plot(self) -> Chart:
projection = YeastProjection()
if self.filter_param in YEAST_FILTER_TO_TYPES:
projection.types = YEAST_FILTER_TO_TYPES[self.filter_param]
analysis = RecipesTrendAnalysis(RecipeScope())
df = analysis.trending_yeasts(projection, trend_window_months=self.period_months)
if len(df) == 0:
raise NoDataException()
figure = LinesChart(force_legend=True).plot(df, 'month', 'recipes_percent', 'yeast', None, '% of All Recipes')
return Chart(figure, title=self.get_chart_title())
def plot(self) -> Chart:
df = StyleAnalysis(
self.style).popular_hops(use_filter=self.filter_param)
if len(df) == 0:
raise NoDataException()
figure = LinesChart(force_legend=True).plot(df, 'month',
'recipes_percent', 'hop',
None, '% of Style Recipes')
return Chart(figure,
height=Chart.DEFAULT_HEIGHT * 0.66,
title=self.get_chart_title())
def plot(self) -> Chart:
analysis = RecipesPopularityAnalysis(self.recipe_scope)
df = analysis.popularity_per_hop(num_top=8, top_months=24)
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', 'hop',
'Month/Year',
'% of All Recipes')
return Chart(figure,
height=Chart.DEFAULT_HEIGHT * 0.66,
title=self.get_chart_title())
def plot(self) -> Chart:
analysis = RecipesPopularityAnalysis(self.recipe_scope)
df = analysis.popularity_per_fermentable(num_top=8)
if len(df) == 0:
raise NoDataException()
figure = LinesChart(force_legend=True).plot(df, 'month',
'recipes_percent',
'fermentable', None,
'% of Style Recipes')
return Chart(figure,
height=Chart.DEFAULT_HEIGHT * 0.66,
title=self.get_chart_title())
