import pandas as pd # Load the Excel file to understand its structure and content try: df = pd.read_excel('Rulment Lab4.xlsx') print("File loaded successfully.") print("Columns:", df.columns.tolist()) print("First few rows:\n", df.head()) except Exception as e: print(f"Error: {e}") Use code with caution. Copied to clipboard
I'm ready to help you with that! However, I don't have access to the file yet.
(like Mean, RMS, or Peak-to-Peak for vibration analysis). Clean the data for modeling. Visualize trends or anomalies. What kind of feature or analysis are you looking to create?
import pandas as pd # Load the Excel file to understand its structure and content try: df = pd.read_excel('Rulment Lab4.xlsx') print("File loaded successfully.") print("Columns:", df.columns.tolist()) print("First few rows:\n", df.head()) except Exception as e: print(f"Error: {e}") Use code with caution. Copied to clipboard
I'm ready to help you with that! However, I don't have access to the file yet.
(like Mean, RMS, or Peak-to-Peak for vibration analysis). Clean the data for modeling. Visualize trends or anomalies. What kind of feature or analysis are you looking to create?