Pandas: Get those movies whose revenue more than 2 million and spent less than 1 million
13. Movies with Revenue > 2M and Spent < 1M
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]
For more Practice: Solve these Related Problems:
- Write a Pandas program to filter movies_metadata.csv for movies with revenue greater than 2 million and budget less than 1 million.
- Write a Pandas program to create a conditional filter on movies_metadata.csv that selects movies meeting the revenue and budget criteria, then display the title and financial columns.
- Write a Pandas program to compute and display the percentage of movies that have revenue over 2M and cost less than 1M.
- Write a Pandas program to load movies_metadata.csv and apply multiple conditions to select movies with revenue > 2M and budget < 1M, then export the results.
Python-Pandas Code Editor:
Sample Table:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
Previous: Write a Pandas program to sort movies on runtime in descending order.
Next: Write a Pandas program to get the longest runtime and shortest runtime.
What is the difficulty level of this exercise?
Test your Programming skills with w3resource's quiz.