Pandas: Get those movies whose revenue more than 2 million and spent less than 1 million

Last update on December 21 2024 07:53:58 (UTC/GMT +8 hours)

Write a Pandas program to get those movies whose revenue more than 2 million and spent less than 1 million.

Sample Solution:

Python Code :

import pandas as pd
df = pd.read_csv('movies_metadata.csv')
small_df = df[['title', 'release_date', 'budget', 'revenue', 'runtime']]
result = small_df[(small_df['revenue'] > 2000000) & (small_df['budget'] < 1000000)]
print("Movies, revenue more than 2 million and spent less than 1 million:")
print(result.head())

Sample Output:

Movies, revenue more than 2 million and spent less than 1 million:
                          title release_date   ...       revenue  runtime
4   Father of the Bride Part II   1995-02-10   ...      76578911    106.0
12                        Balto   1995-12-22   ...      11348324     78.0
30              Dangerous Minds   1995-08-11   ...     180000000     99.0

[3 rows x 5 columns]                                      

Python-Pandas Code Editor:

Sample Table:

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