cinemagoer library problem

[menator01]

One way to do it

from imdb import Cinemagoer
from pandas import DataFrame as df
from tabulate import tabulate

class Model:
    def __init__(self):
        self.ia = Cinemagoer()

    def search_person(self, name):
        data = []
        people = self.ia.search_person(name.strip())
        person = people[0]
        id = person.personID
        films = self.ia.get_person_biography(id)
        for film in films['titlesRefs'].values():
            try:
                year = film['year']
            except KeyError:
                year = 'No date available'

            data.append((film['title'], year, film.movieID))
        return data
    
    def search_movie(self, title):
        data = []
        movies = self.ia.search_movie(title.strip())
        for movie in movies:
            data.append((movie['title'], movie['year'], movie.movieID))
        return data
  


m = Model()
data = m.search_person('angelina jolie')
data.sort(key=lambda a: a[1])

headers = ['Movie', 'Year', 'Movie ID']

print('All Movies')
print(tabulate(df(data), showindex=False, headers=headers))

print()


# Search < date
alist = []
for movie, year, id in data:
       if isinstance(year, int) and year <= 1998:
            alist.append((movie, year, id))

print('Movies less than or equal to 1998')
print(tabulate(df(alist), showindex=False, headers=headers))

print()
data.reverse()
print('Last five movies')
print(tabulate(df(data[:5]), showindex=False, headers=headers))

output

Output:
All Movies
Movie                              Year    Movie ID
-------------------------------  ------  ----------
One Flew Over the Cuckoo's Nest    1975     0073486
Hackers                            1995     0113243
Foxfire                            1996     0116353
True Women                         1997     0118499
George Wallace                     1997     0119189
Gia                                1998     0123865
Girl, Interrupted                  1999     0172493
The Bone Collector                 1999     0145681
Pushing Tin                        1999     0120797
The Matrix                         1999     0133093
Lara Croft: Tomb Raider            2001     0146316
Beyond Borders                     2003     0294357
Mr. & Mrs. Smith                   2005     0356910
Wanted                             2008     0493464
Salt                               2010     0944835
Maleficent                         2014     1587310
Unbroken                           2014     1809398
By the Sea                         2015     3707106
Eternals                           2021     9032400

Movies less than or equal to 1998
Movie                              Year    Movie ID
-------------------------------  ------  ----------
One Flew Over the Cuckoo's Nest    1975     0073486
Hackers                            1995     0113243
Foxfire                            1996     0116353
True Women                         1997     0118499
George Wallace                     1997     0119189
Gia                                1998     0123865

Last five movies
Movie         Year    Movie ID
----------  ------  ----------
Eternals      2021     9032400
By the Sea    2015     3707106
Unbroken      2014     1809398
Maleficent    2014     1587310
Salt          2010     0944835