Sorting and filtering are important tasks when analyzing data.

1. Sorting Data

You can sort data by a specific column using sort_values():

df_sorted = df.sort_values(by='Age', ascending=False)  # Sort by Age in descending order
print(df_sorted)

2. Filtering Rows Based on Conditions

You can filter rows based on conditions using boolean indexing:

filtered_df = df[df['Age'] > 30]  # Select rows where Age > 30
print(filtered_df)

For multiple conditions, combine them with & (AND) or | (OR):

filtered_df = df[(df['Age'] > 25) & (df['City'] == 'New York')]
print(filtered_df)