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# Import necessary libraries and modules import pandas as pd import matplotlib.pyplot as plt # Load movie data (e.g., scenes, character interactions, and events) movie_data = pd.read_csv('thappad_movie_data.csv') # Self and Social Perception Analysis # Define key scenes related to self and social perception slap_scene = movie_data.loc[movie_data['scene'] == 'The Slap Scene'] mother_conversation = movie_data.loc[movie_data['scene'] == 'Amrita\'s Conversation with Her Mother'] friend_relatives_conversation = movie_data.loc[movie_data['scene'] == 'Amrita\'s Conversations with Friends and Relatives'] inlaws_interaction = movie_data.loc[movie_data['scene'] == 'Amrita\'s Interaction with Her In-laws'] lawyer_visit = movie_data.loc[movie_data['scene'] == 'Amrita\'s Visit to the Lawyer'] court_monologue = movie_data.loc[movie_data['scene'] == 'Amrita\'s Final Monologue in Court'] # Display and analyze these scenes to explore self and social perception themes # Attitudes Analysis # Define key scenes related to attitudes attitude_formation = movie_data.loc[movie_data['scene'] == 'Attitude Formation'] attitude_influencing_behavior = movie_data.loc[movie_data['scene'] == 'Attitude influencing behavior'] attitude_behavior_link = movie_data.loc[movie_data['scene'] == 'Attitude-Behavior Link'] attitude_change = movie_data.loc[movie_data['scene'] == 'Attitude Change'] # Display and analyze these scenes to explore attitudes in the movie # Stereotypes, Prejudices, and Discrimination Analysis # Define key scenes related to stereotypes, prejudices, and discrimination prejudice_scene = movie_data.loc[movie_data['scene'] == 'Prejudice Scene'] stereotypes_scene = movie_data.loc[movie_data['scene'] == 'Stereotypes Scene'] discrimination_scene = movie_data.loc[movie_data['scene'] == 'Discrimination Scene'] # Display and analyze these scenes to explore how the movie portrays these concepts # Aggression Analysis # Define key scenes related to aggression aggression_theories = movie_data.loc[movie_data['scene'] == 'Aggression Theories'] aggression_influences = movie_data.loc[movie_data['scene'] == 'Influences on Aggression'] aggression_determinants = movie_data.loc[movie_data['scene'] == 'Determinants of Aggression'] aggression_prevention = movie_data.loc[movie_data['scene'] == 'Prevention and Control of Aggression'] # Display and analyze these scenes to understand how aggression is depicted in the movie # Generate visualizations, if needed, to present the findings # Conclude the analysis by summarizing the movie's portrayal of psychological concepts # Add any additional code for data processing, visualization, or insights as required
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