Class 12 Python Pandas 1 MCQ | Python Pandas 1 Quiz Class 12

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Class 12 Python Pandas 1 MCQ | Python Pandas 1 Quiz Class 12



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Multiple Choice Questions Class 12 Python Pandas 1 Informatics Practices

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

 

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2. The axis 1 specifies Dataframe's _____.

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3. Which of the following statements is false?

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

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

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

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

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8. Identify the correct statement :

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

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

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

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

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

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

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

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

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17. How many axis does a Dataframe have?

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18. Missing data in Pandas object is represented as

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19. what is the output of following:

print(D1.loc[:])

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

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

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

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

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

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

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

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27. Full form of CSV is ____________

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

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

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

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

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

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

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

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Lesson tags: Class 12 Python Pandas 1 MCQ, Python Pandas 1 Quiz Class 12
Back to: CBSE class 12 Informatics Practices notes
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