def __post_init__(self): if not self.height_ft_in and self.height_cm: self.height_ft_in = self.cm_to_ft_in(self.height_cm)
def distribution_by_category(self) -> Dict: """Analyze height distribution by modeling category""" categories = { "runway": [], "commercial": [], "fitness": [] } for model in self.models: if self.RUNWAY_MIN <= model.height_cm <= self.RUNWAY_MAX: categories["runway"].append(model.height_cm) if self.COMMERCIAL_MIN <= model.height_cm <= self.COMMERCIAL_MAX: categories["commercial"].append(model.height_cm) if self.FITNESS_MIN <= model.height_cm <= self.FITNESS_MAX: categories["fitness"].append(model.height_cm) results = {} for cat, heights in categories.items(): if heights: results[cat] = { "count": len(heights), "mean": round(statistics.mean(heights), 1), "range": f"{min(heights)}-{max(heights)}" } return results height of male models
@app.get("/analyze/outliers") async def detect_outliers(multiplier: float = Query(1.5, ge=1.0, le=3.0)): """Detect height outliers using IQR method""" # Implementation would use analyzer pass # Sample data sample_models = [ MaleModel("M001", "John Doe", 188, "6'2\"", "Elite Models", "runway"), MaleModel("M002", "Mike Smith", 185, "6'1\"", "IMG Models", "runway"), MaleModel("M003", "Alex Chen", 178, "5'10\"", "Wilhelmina", "commercial"), MaleModel("M004", "Chris Evans", 183, "6'0\"", "Ford Models", "fitness"), MaleModel("M005", "David Kim", 192, "6'3.6\"", "Next Models", "runway"), MaleModel("M006", "Tom Wilson", 175, "5'9\"", "Elite Models", "commercial"), MaleModel("M007", "James Brown", 195, "6'4.8\"", "IMG Models", "runway"), ] Analyze analyzer = MaleModelHeightAnalyzer(sample_models) print(analyzer.generate_height_report()) Visualize visualizer = HeightVisualizer(analyzer) visualizer.plot_height_distribution("height_analysis.png") Get category fit category_fit = analyzer.category_fit() for model_id, info in category_fit.items(): print(f"{info['name']}: {info['height_ft_in']} - Suitable for {', '.join(info['suitable_categories'])}") def __post_init__(self): if not self
def __init__(self, analyzer: MaleModelHeightAnalyzer): self.analyzer = analyzer self.heights = analyzer.heights = model.height_cm <