runstats

import random from runstats import Statistics, Regression # --- Statistics Example --- stats = Statistics() for _ in range(100): stats.push(random.random() * 100) print(f"Statistics Count: {len(stats)}") print(f"Statistics Mean: {stats.mean():.2f}") print(f"Statistics Std Dev: {stats.stddev():.2f}") print(f"Statistics Min: {stats.minimum():.2f}") print(f"Statistics Max: {stats.maximum():.2f}") # --- Regression Example --- regr = Regression() def linear_noisy_func(x_coord): alpha, beta = 1.5, 5.0 noise = (2 * (random.random() - 0.5)) return alpha * x_coord + beta + noise for i in range(100): x_val = i * 0.1 y_val = linear_noisy_func(x_val) regr.push(x_val, y_val) print(f"\nRegression Count: {len(regr)}") print(f"Regression Slope: {regr.slope():.2f}") print(f"Regression Intercept: {regr.intercept():.2f}") print(f"Regression Correlation: {regr.correlation():.2f}")