genre_df = pd.DataFrame([( 147, 'Canada', 'Movie', 'International Movies', 141),
( 148, 'Canada', 'Movie', 'Dramas', 106),
( 149, 'Canada', 'Movie', 'Comedies', 70),
( 150, 'Canada', 'Movie', 'Documentaries', 48),
( 151, 'Canada', 'Movie', 'Action & Adventure', 41),
( 152, 'Canada', 'Movie', 'Children & Family Movies', 34),
( 153, 'Canada', 'Movie', 'Independent Movies', 31),
( 154, 'Canada', 'Movie', 'Thrillers', 28),
( 155, 'Canada', 'Movie', 'Romantic Movies', 25),
( 156, 'Canada', 'Movie', 'Stand-Up Comedy', 20),
( 324, 'France', 'Movie', 'International Movies', 103),
( 325, 'France', 'Movie', 'Dramas', 84),
( 326, 'France', 'Movie', 'Comedies', 69),
( 327, 'France', 'Movie', 'Documentaries', 39),
( 328, 'France', 'Movie', 'Action & Adventure', 37),
( 329, 'France', 'Movie', 'Thrillers', 26),
( 330, 'France', 'Movie', 'Independent Movies', 24),
( 331, 'France', 'Movie', 'Romantic Movies', 23),
( 332, 'France', 'Movie', 'Children & Family Movies', 21),
( 333, 'France', 'Movie', 'Horror Movies', 17),
( 350, 'Germany', 'Movie', 'International Movies', 68),
( 351, 'Germany', 'Movie', 'Dramas', 49),
( 352, 'Germany', 'Movie', 'Comedies', 38),
( 353, 'Germany', 'Movie', 'Action & Adventure', 23),
( 354, 'Germany', 'Movie', 'Documentaries', 21),
( 355, 'Germany', 'Movie', 'Children & Family Movies', 19),
( 356, 'Germany', 'Movie', 'Independent Movies', 16),
( 357, 'Germany', 'Movie', 'Thrillers', 13),
( 358, 'Germany', 'Movie', 'Horror Movies', 10),
( 359, 'Germany', 'Movie', 'Romantic Movies', 10),
( 446, 'India', 'Movie', 'International Movies', 324),
( 447, 'India', 'Movie', 'Dramas', 274),
( 448, 'India', 'Movie', 'Comedies', 177),
( 449, 'India', 'Movie', 'Documentaries', 96),
( 450, 'India', 'Movie', 'Action & Adventure', 92),
( 451, 'India', 'Movie', 'Independent Movies', 91),
( 452, 'India', 'Movie', 'Romantic Movies', 73),
( 453, 'India', 'Movie', 'Children & Family Movies', 65),
( 454, 'India', 'Movie', 'Thrillers', 63),
( 455, 'India', 'Movie', 'Music & Musicals', 51),
( 561, 'Japan', 'Movie', 'International Movies', 84),
( 562, 'Japan', 'Movie', 'Dramas', 67),
( 563, 'Japan', 'Movie', 'Comedies', 53),
( 564, 'Japan', 'Movie', 'Documentaries', 25),
( 565, 'Japan', 'Movie', 'Action & Adventure', 23),
( 566, 'Japan', 'Movie', 'Romantic Movies', 21),
( 567, 'Japan', 'Movie', 'Independent Movies', 18),
( 568, 'Japan', 'Movie', 'Children & Family Movies', 17),
( 569, 'Japan', 'Movie', 'Thrillers', 16),
( 570, 'Japan', 'Movie', 'Music & Musicals', 14),
( 688, 'Mexico', 'Movie', 'International Movies', 46),
( 689, 'Mexico', 'Movie', 'Dramas', 39),
( 690, 'Mexico', 'Movie', 'Comedies', 38),
( 691, 'Mexico', 'Movie', 'Romantic Movies', 16),
( 692, 'Mexico', 'Movie', 'Documentaries', 13),
( 693, 'Mexico', 'Movie', 'Children & Family Movies', 12),
( 694, 'Mexico', 'Movie', 'Independent Movies', 12),
( 695, 'Mexico', 'Movie', 'Action & Adventure', 9),
( 696, 'Mexico', 'Movie', 'Music & Musicals', 7),
( 697, 'Mexico', 'Movie', 'Stand-Up Comedy', 7),
(1030, 'South Korea', 'Movie', 'International Movies', 67),
(1031, 'South Korea', 'Movie', 'Dramas', 62),
(1032, 'South Korea', 'Movie', 'Comedies', 47),
(1033, 'South Korea', 'Movie', 'Action & Adventure', 20),
(1034, 'South Korea', 'Movie', 'Documentaries', 17),
(1035, 'South Korea', 'Movie', 'Independent Movies', 14),
(1036, 'South Korea', 'Movie', 'Children & Family Movies', 13),
(1037, 'South Korea', 'Movie', 'Romantic Movies', 11),
(1038, 'South Korea', 'Movie', 'Stand-Up Comedy', 10),
(1039, 'South Korea', 'Movie', 'Horror Movies', 9),
(1056, 'Spain', 'Movie', 'International Movies', 70),
(1057, 'Spain', 'Movie', 'Dramas', 56),
(1058, 'Spain', 'Movie', 'Comedies', 51),
(1059, 'Spain', 'Movie', 'Documentaries', 32),
(1060, 'Spain', 'Movie', 'Thrillers', 23),
(1061, 'Spain', 'Movie', 'Children & Family Movies', 18),
(1062, 'Spain', 'Movie', 'Independent Movies', 16),
(1063, 'Spain', 'Movie', 'Romantic Movies', 16),
(1064, 'Spain', 'Movie', 'Action & Adventure', 15),
(1065, 'Spain', 'Movie', 'Horror Movies', 9),
(1206, 'United Kingdom', 'Movie', 'International Movies', 224),
(1207, 'United Kingdom', 'Movie', 'Dramas', 200),
(1208, 'United Kingdom', 'Movie', 'Comedies', 132),
(1209, 'United Kingdom', 'Movie', 'Documentaries', 74),
(1210, 'United Kingdom', 'Movie', 'Action & Adventure', 73),
(1211, 'United Kingdom', 'Movie', 'Children & Family Movies', 60),
(1212, 'United Kingdom', 'Movie', 'Independent Movies', 60),
(1213, 'United Kingdom', 'Movie', 'Romantic Movies', 48),
(1214, 'United Kingdom', 'Movie', 'Thrillers', 45),
(1215, 'United Kingdom', 'Movie', 'Horror Movies', 29),
(1226, 'United States', 'Movie', 'International Movies', 1021),
(1227, 'United States', 'Movie', 'Dramas', 903),
(1228, 'United States', 'Movie', 'Comedies', 591),
(1229, 'United States', 'Movie', 'Action & Adventure', 330),
(1230, 'United States', 'Movie', 'Documentaries', 322),
(1231, 'United States', 'Movie', 'Independent Movies', 289),
(1232, 'United States', 'Movie', 'Children & Family Movies', 232),
(1233, 'United States', 'Movie', 'Romantic Movies', 216),
(1234, 'United States', 'Movie', 'Thrillers', 206),
(1235, 'United States', 'Movie', 'Stand-Up Comedy', 134)], columns=['','country','type', 'genre', 'count'])

Edit Report
Pub: 31 Mar 2021 18:42 UTC
Edit: 31 Mar 2021 19:59 UTC
Views: 216