1. To get the number of dimensions of a series object, _____ attribute is used.

2. The axis 1 specifies Dataframe's _____.

3. Which of the following statements is false?

4. Which of the following is not true about Dataframe?

5. To access value of dataframe using column label we can use ________

6. To delete a row from a DataFrame, we can use _____ statement.

7. A two-dimensional labelled array that is an ordered collection of columns to store heterogeneous data types is:

8. Identify the correct statement :

9. To change 2nd row ānd  4th column's value 50 in dataframe D1, we can write _____.

10. To display last five rows of a Series object S1, you can write _____.

11. Which attribute of DataFrame is used to retrieve its shape?

12. To get the transpose of a Dataframe D1, you can write _____.

13. Which of the following is a valid statement to create a data frame.

14. To specify datatype int16 for a series object, we can write _______ 

15. To display first three elements of a Series object S1, you can write _____.

16. Which of the following commands is used to install Pandas?

17. How many axis does a Dataframe have?

18. Missing data in Pandas object is represented as

19. what is the output of following:

print(D1.loc[:])

20. To check if the series object contains NaN values, _____ attribute is used.

21. The axis 0(Zero) specifies Dataframe's _____.

22. To create an empty Series object, we can use 

23. Command to display both row and column index label of dataframe D1 __________

24. To get the number of elements in a series object, _____ attribute can be used.

25. Which attribute of DataFrame is used to perform the transpose operation on a DataFrame?

26. Which among the following options can be used to create a DataFrame in Pandas?

27. Full form of CSV is ____________

28. To get a number representing number of axes in a Dataframe, _____ attribute may be used.

29. To get the number of bytes of the series data, _____ attribute is used.

30. To access sname column from 'Student' DataFrame we can use _________ 

31. To display the 3rd  and 4th columns from the 6th to 8th rows of a Dataframe D1, we can use _____.

32. Which of the following is not an attribute of Dataframe?

33. To display third element of a series object S1, you can write _____.

34. To get the size of the datatype of the items in series object, we can use _____ attribute.