import pandas as pd # Creating a sample dataset for line wear estimation data = { "Line Type": ["Vectran 750", "Vectran 500", "Vectran 400"], "Exit Weight (lbs)": [210, 200, 225], "Baseline Jumps": [540, 300, 175], "R/S Factor (-15%)": [540 * 0.15, 300 * 0.15, 175 * 0.15], "Dirt/Dust Factor (-20%)": [540 * 0.20, 300 * 0.20, 175 * 0.20], "Estimated Lifespan (No R/S, No Dust)": [540, 300, 175], "Estimated Lifespan (R/S only)": [540 - (540 * 0.15), 300 - (300 * 0.15), 175 - (175 * 0.15)], "Estimated Lifespan (Dust only)": [540 - (540 * 0.20), 300 - (300 * 0.20), 175 - (175 * 0.20)], "Estimated Lifespan (R/S + Dust)": [ 540 - (540 * 0.15) - (540 * 0.20), 300 - (300 * 0.15) - (300 * 0.20), 175 - (175 * 0.15) - (175 * 0.20) ] } # Convert to DataFrame df = pd.DataFrame(data) # Save to an Excel file file_path = "/mnt/data/line_wear_estimator.xlsx" df.to_excel(file_path, index=False) file_path

Line Wear Calculator

Canopy Line Wear Estimator

Formula: (Line Strength - Exit Weight) × Modifiers

Exit Weight (lbs)

Line Type

Using R/S Exposed to Dust

Canopy Line Wear Estimator

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