w3resource

Pandas: Create a smaller dataframe with a subset of all features

Pandas: IMDb Movies Exercise-8 with Solution

Write a Pandas program to create a smaller dataframe with a subset of all features.

Sample Solution:

Python Code :

import pandas as pd
df = pd.read_csv('movies_metadata.csv')
# Create a smaller dataframe
small_df = df[['title', 'release_date', 'budget', 'revenue', 'runtime']]
print("Smaller DataFrame:")
print(small_df.head())

Sample Output:

Smaller DataFrame:
                         title release_date    budget    revenue  runtime
0                    Toy Story   1995-10-30  30000000  373554033     81.0
1                      Jumanji   1995-12-15  65000000  262797249    104.0
2             Grumpier Old Men   1995-12-22         0          0    101.0
3            Waiting to Exhale   1995-12-22  16000000   81452156    127.0
4  Father of the Bride Part II   1995-02-10         0   76578911    106.0	                                       

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 get the details of fifth movie of the DataFrame.
Next: Write a Pandas program to display the first 10 rows of the DataFrame.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Become a Patron!

Follow us on Facebook and Twitter for latest update.

It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.

https://w3resource.com/python-exercises/pandas/movies/python-pandas-movies-exercise-8.php