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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