19. A data analyst wants to combine multiple dataframes using the concat found in pandas. He is looking for advice on how the concat works. Which of the following are True about the concat found in pandas? - A. Combines two or more pandas objects vertically or horizontally- B. Aligns only on the index- C. Errors whenever a duplicate appears in the index- D. Defaults to outer join with the option for inner join1 of the 4 listed2 of the 4 listed3 of the 4 listed4 of the 4 listed0 of the 4 listed
Question
- A data analyst wants to combine multiple dataframes using the concat found in pandas. He is looking for advice on how the concat works. Which of the following are True about the concat found in pandas? - A. Combines two or more pandas objects vertically or horizontally- B. Aligns only on the index- C. Errors whenever a duplicate appears in the index- D. Defaults to outer join with the option for inner join1 of the 4 listed2 of the 4 listed3 of the 4 listed4 of the 4 listed0 of the 4 listed
Solution
3 of the 4 listed are true.
A. Combines two or more pandas objects vertically or horizontally - This is True. The pandas concat function can combine DataFrames vertically (one below the other) or horizontally (side by side), depending on the specified axis.
B. Aligns only on the index - This is True. By default, the concat function aligns the data on the index. However, you can specify other columns to align on.
C. Errors whenever a duplicate appears in the index - This is False. By default, the concat function does not error out when there are duplicates in the index. However, you can make it throw an error by setting the verify_integrity parameter to True.
D. Defaults to outer join with the option for inner join - This is True. By default, the concat function performs an outer join, meaning it includes all data from all DataFrames. However, you can specify an inner join, which only includes data that is present in all DataFrames.
Similar Questions
20. A data science intern is confused on which method to use to combine 2 or more pandas objects. She has asked for help from you. Which of the following statements about merge and join are correct? Select all correct.Join combines 2 or more pandas objects horizontally while merge combines exactly two dataframes horizontallyBoth merge and join Handles duplicate values on the joining columns or index by performing a cartesian productBoth merge and join Aligns the calling DataFrame's column(s) or index with the other object's index (and not the columns)Join defaults to left join with options for inner, outer, and right while merge defaults to inner join with options for left, outer, and right
What will the following code do?employee_all_df = pd.concat(employee_names_df,employee_age_df, on = 'Employee ID')A.Generate an error message.B.Concatenate both DataFrames using Employee ID.C.Merge both DataFrames using Employee ID.
Which of the following can be used to merge two data frames by common columns?concatenate()bind()join()merge()
Given the following code:df1 = pd.DataFrame([100, 200, 300, 400],index=['a', 'b', 'c', 'd'],columns=['A'])df2 = pd.DataFrame([200, 150, 50],index=['f', 'b', 'c'],columns=['B'])a. Create the le� join of df1 and df2 [2 marks]Ans:b. Create the right join of df1 and df2 [2 marks]Ans:c. Create the inner join of df1 and df2 [2 marks]Ans:d. Create the outer join of df1 and df2 [2 marks]Ans:
What are some other kinds of data you could combine using CONCAT or CONCATENATE?What happens if a data analyst tries to work with dates or names that haven’t been combined with CONCAT or CONCATENATE?1 point
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.