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Pandas: Get the columns of the DataFrame

Pandas: IMDb Movies Exercise-1 with Solution

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')
	                                       

Python-Pandas Code Editor:

Sample Table:


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Next: Write a Pandas program to get the information of the DataFrame (movies_metadata.csv file)including data types and memory usage.

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