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| import pandas as pd | |
| from utils.excel_loader import load_submarine_forecast_data | |
| data = load_submarine_forecast_data('dataset/submarine_forecast.xlsx') | |
| df = data['load'] | |
| print("Load data sample:") | |
| print(df.head(10)) | |
| print("\n\nLoad data stats:") | |
| print(f"Min: {df['mw'].min()}") | |
| print(f"Max: {df['mw'].max()}") | |
| print(f"Mean: {df['mw'].mean()}") | |
| # Check for anomalies | |
| print(f"\n\nRows with mw > 1000: {len(df[df['mw'] > 1000])}") | |
| print(f"Rows with mw < 0: {len(df[df['mw'] < 0])}") | |
| if len(df[df['mw'] > 1000]) > 0: | |
| print("\nFirst anomalies (mw > 1000):") | |
| print(df[df['mw'] > 1000].head()) | |
| if len(df[df['mw'] < 0]) > 0: | |
| print("\nFirst anomalies (mw < 0):") | |
| print(df[df['mw'] < 0].head()) | |