Pandas: Get the columns of the DataFrame

Last update on April 11 2025 12:52:16 (UTC/GMT +8 hours)

1. Getting DataFrame Columns

Write a Pandas program to get the columns of the DataFrame (movies_metadata.csv file).

Sample Solution:

Python Code:

import pandas as pd
import numpy as np
df = pd.read_csv('movies_metadata.csv')
print("Columns of the DataFrame:")
print(df.columns)

Sample Output:

Columns of the DataFrame:
Index(['adult', 'belongs_to_collection', 'budget', 'genres', 'homepage', 'id',
       'imdb_id', 'original_language', 'original_title', 'overview',
       'popularity', 'poster_path', 'production_companies',
       'production_countries', 'release_date', 'revenue', 'runtime',
       'spoken_languages', 'status', 'tagline', 'title', 'video',
       'vote_average', 'vote_count'],
      dtype='object')

For more Practice: Solve these Related Problems:

• Write a Pandas program to load movies_metadata.csv and list all column names in alphabetical order.
• Write a Pandas program to load movies_metadata.csv and display column names along with their data types.
• Write a Pandas program to extract the column names from movies_metadata.csv and save them as a Python list.
• Write a Pandas program to load movies_metadata.csv and print column names that contain the substring "date".

Python-Pandas Code Editor:

Sample Table:

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