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

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

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

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

5. Which of the following statements is false?

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

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

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

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

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

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

12. The axis 1 specifies Dataframe's _____.

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

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

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

16. Identify the correct statement :

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

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

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

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

21. what is the output of following:

print(D1.loc[:])

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

23. Full form of CSV is ____________

24. Missing data in Pandas object is represented as

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

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

27. How many axis does a Dataframe have?

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

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

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

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

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

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

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