University:
American Baptist College
Course:
CSCI 1534 | Data Analysis and Visualization
Academic year:

2023
Views:

171

Pages:

3
Author:

Muthia M.

Answer this question. 1. Suppose we want to fill the missing values in this DataFrame with the mean of the respective columns. What method can we use in Pandas? A. fillna(df.mean()) B. fillmean() C. meanfill() D. fillmissing(df.mean()) 2. Which method would you use to remove the unnecessary columns from this DataFrame? A. delete() B. remove() C. drop() D. cut() 3. Suppose we have some rows that are duplicates, which Pandas function would we use to remove these duplicate rows? A. drop_duplicates() B. remove_duplicates() C. del_duplicates() D. cut_duplicates() 4. Suppose we want to perform element-wise multiplication of two lists, say Salary and Bonus, which feature of NumPy can be utilized? A. Matrix manipulation B. Memory mapping C. Broadcasting D. Linear algebra 5. In the context of computational times, which NumPy functionalities could most directly influence the results? A. Ability to write vectorized code B. Ability to store data of different types C. Ability to grow arrays dynamically D. Ability to integrate with databases