In [1]:
import sys
sys.path.append('../../')
from moviegoer.tables import film_id_from_film_directory, load_film_object
from random import choice
In [2]:
film_id = film_id_from_film_directory()
film_id
Out[2]:
'the_hurt_locker_2008'
In [3]:
film_obj = load_film_object(film_id)
film_obj.print_info()

*Film Information*
Title, Release Year: The Hurt Locker (2008)
File Runtime: 02:10:38
Film Runtime (No Credits): 2:04:29

*Technical Details*
Aspect Ratio: 1.78
Avg. Shot Duration: 5.64
Avg. Brightness: 71
Avg. Contrast: 43

*Dialogue Cadence*
Sentences Per Minute: 16
Words Per Sentence 4.16
Questions Per Minute: 2.17
Pct. Questions: 14%

*Emotion*
Pct. Upset Faces: 68%
Laughs Per Minute: 0.16
Profanity Per Minute: 1.11
Words Per Profanity: 60
Exclamations Per Minute: 1.11
In [4]:
print(len(film_obj.scene_objects))
film_obj.display_scenes()

1

*Plot Context*
Context Themes: Counter({'violence': 124, 'dining': 16})
Potential Common Locations: Counter({'kitchen': 16})
Named Participants: Counter({'man': 1})
Descriptors: ['indoors']
Held Items: Counter({'gun': 124, 'cell phone': 1})
Active Actions: Counter({'pointing': 1})
Left Wearing: Counter({'hoodie': 24})
Right Wearing: Counter({'glasses and a yellow shirt': 4, 'yellow shirt': 2})
Out[4]:
[None]
In [5]:
film_obj.chart_all_dialogue_emotional_indicators()
In [6]:
film_obj.chart_all_dialogue_shape()
In [7]:
film_obj.chart_all_dialogue_question_proportion()
In [8]:
film_obj.display_color_shots()
In [9]:
rand_scene = None
if film_obj.dialogue_objects:
    rand_scene = choice(film_obj.dialogue_objects)
    rand_scene.display_qna_frames()
In [10]:
if rand_scene:
    rand_scene.display_first_p_sentence_frames()
In [11]:
if rand_scene:
    rand_scene.display_second_p_address_frames()
In [12]:
film_obj.display_laughs()
Out[12]:
[]
In [13]:
film_obj.display_unintelligible_language()
In [14]:
film_obj.display_self_intros()
In [15]:
film_obj.display_other_intros()