Python Pandas IMDb Movies Data: Exercises, Practice, Solution

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Sample Table (based on IMDb - movies csv):
Download movies_metadata.csv table (50) records from here.

Pandas IMDb Movies Data Analysis [17 exercises with solution]

1. Write a Python Pandas program to get the columns of the DataFrame (movies_metadata.csv file).
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2. 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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3. Write a Pandas program to get the details of the third movie of the DataFrame (movies_metadata.csv file).
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4. Write a Pandas program to count the number of rows and columns of the DataFrame (movies_metadata.csv file).
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5. Write a Pandas program to get the details of the columns title and genres of the DataFrame.
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6. Write a Pandas program to get the details of the movie with title 'Grumpier Old Men'.
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7. Write a Pandas program to get the details of  fifth movie of the DataFrame.
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8. Write a Pandas program to create a smaller DataFrame with a subset of all features.
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9. Write a Pandas program to display the first 10 rows of the DataFrame.
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10. Write a Pandas program to sort the DataFrame based on release_date.
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11. Write a Pandas program to access those movies, released after 1995-01-01.
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12. Write a Pandas program to sort movies on runtime in descending order.
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13. Write a Pandas program to get those movies whose revenue more than 2 million and spent less than 1 million.
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14. Write a Pandas program to get the longest runtime and shortest runtime.
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15. Write a Pandas program to calculate the number of votes garnered by the 70% movie.
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16. Write a Pandas program to display the movies (title, runtime) longer than 30 minutes and shorter than 360 minutes.
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17. Write a Pandas program to display the movies (title, number of votes) that received specified number of votes.
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