Pandas: Get the details of fifth movie of the DataFrame

Pandas: IMDb Movies Exercise-7 with Solution

Write a Pandas program to get the details of fifth movie of the DataFrame.

Sample Solution:

Python Code :

import pandas as pd
df = pd.read_csv('movies_metadata.csv')
result = df.iloc[4]
print("Details of the fifth movie of the DataFrame:")
print(result)

Sample Output:

Details of the fifth movie of the DataFrame:
adult                                                                False
belongs_to_collection    {'id': 96871, 'name': 'Father of the Bride Col...
budget                                                                   0
genres                                      [{'id': 35, 'name': 'Comedy'}]
homepage                                                               NaN
id                                                                   11862
imdb_id                                                          tt0113041
original_language                                                       en
original_title                                 Father of the Bride Part II
overview                 Just when George Banks has recovered from his ...
popularity                                                         8.38752
poster_path                               /e64sOI48hQXyru7naBFyssKFxVd.jpg
production_companies     [{'name': 'Sandollar Productions', 'id': 5842}...
production_countries     [{'iso_3166_1': 'US', 'name': 'United States o...
release_date                                                    1995-02-10
revenue                                                           76578911
runtime                                                                106
spoken_languages                  [{'iso_639_1': 'en', 'name': 'English'}]
status                                                            Released
tagline                  Just When His World Is Back To Normal... He's ...
title                                          Father of the Bride Part II
video                                                                False
vote_average                                                           5.7
vote_count                                                             173
Name: 4, dtype: object	                                       

Python-Pandas Code Editor:

Sample Table:

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