Data Science and Machine Learning (Theory and Projects) A to Z - Python for Data Science: NumPy Pandas and Matplotlib (P
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Information Technology (IT), Architecture
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University
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Practice Problem
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of using an alias when importing a library like Pandas?
To ensure compatibility with other libraries
To avoid importing unnecessary functions
To reduce the length of the code
To make the code run faster
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the function 'randn(5, 4)' generate in a DataFrame?
A 5x4 matrix with random integers
A 4x5 matrix with random floats
A 5x4 matrix with random floats
A 4x5 matrix with random integers
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you access all the values in a specific column of a DataFrame?
By using the column's index number
By using the DataFrame's shape
By using the column's name
By using the DataFrame's index
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens if you add a new column with the same name as an existing column in a DataFrame?
The DataFrame is duplicated
An error is thrown
The new column is ignored
The existing column is replaced
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which parameter should be set to 'True' to permanently drop a column from a DataFrame?
axis
inplace
overwrite
delete
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the result of applying a condition to filter rows in a DataFrame?
A new DataFrame with all rows
A new DataFrame with filtered rows
A list of column names
A list of row indices
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you filter a DataFrame to show only rows where a column's value is greater than zero?
By using the 'filter' function
By using the 'loc' method with a condition
By using the 'drop' method
By using the 'sort' method
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