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

Last update on December 21 2024 07:54:03 (UTC/GMT +8 hours)

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:

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