# Create a pandas DataFrame from the data df = pd.DataFrame(data)
# Function to display the Index of Agneepath def display_index(): print(df)
# Sample data for Agneepath episodes data = { "Episode": ["Episode 1", "Episode 2", "Episode 3"], "Description": ["Description 1", "Description 2", "Description 3"], "Timestamp": ["00:00:00", "00:30:00", "01:00:00"] }
# Function to search for a specific episode def search_episode(query): results = df[df["Episode"].str.contains(query, case=False)] return results
# Create a pandas DataFrame from the data df = pd.DataFrame(data)
# Function to display the Index of Agneepath def display_index(): print(df)
# Sample data for Agneepath episodes data = { "Episode": ["Episode 1", "Episode 2", "Episode 3"], "Description": ["Description 1", "Description 2", "Description 3"], "Timestamp": ["00:00:00", "00:30:00", "01:00:00"] }
# Function to search for a specific episode def search_episode(query): results = df[df["Episode"].str.contains(query, case=False)] return results
