Adding Rows to Pandas DataFrames

1. 1Import the Pandas library using 'import pandas as pd'
2. 2Create a sample DataFrame using 'pd.DataFrame()' to practice adding rows
3. 3Use the 'loc' attribute to add a new row to the DataFrame, e.g., 'df.loc[len(df)] = [value1, value2]'
4. 4Apply the 'concat' function to add multiple rows to the DataFrame, e.g., 'pd.concat([df, new_df])'
5. 5Test the resulting DataFrame using 'print(df)' to verify the added rows

Data scientists and analysts can benefit from this skill to handle and process large datasets

💡 Use 'loc' for single row additions and 'concat' for multiple row additions

📊 Add rows to Pandas DataFrames like a pro! 💻