100+ Important Pandas MCQ Questions with Answers Class 12 IP

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PANDAS SERIES MCQ

PANDAS DATAFRAME MCQ

DATA VISUALIZATION MCQ


Pandas MCQ Questions with Answers

Pandas MCQ Questions
Pandas MCQ Questions

Pandas MCQ Questions with Answers

Q1. Which of the following are modules/libraries in Python?

a. NumPy

b. Pandas

c. Matplotlib

d. All of the above

Q2. NumPy stands for ____

a. Number Python

b. Numerical Python

c. Numbers in Python

d. None of the above

Q3. Which of the following libraries allows to manipulate, transform and visualize data easily and efficiently.

a. Pandas

b. NumPy

c. Matplotlib

d. All of the above

Q4. PANDAS stands for _____________

a. Panel Data Analysis

b. Panel Data analyst

c. Panel Data

d. Panel Dashboard

Q5. __________ is an important library used for analyzing data.

a. Math

b. Random

c. Pandas

d. None of the above

Q6. Important data structure of pandas is/are ___________

a. Series

b. Data Frame

c. Both of the above

d. None of the above

Q7. Which of the following library in Python is used for plotting graphs and visualization.

a. Pandas

b. NumPy

c. Matplotlib

d. None of the above

Q8. Pandas Series can have _________________ data types

a. float

b. integer

c. String

d. All of the above

Q9. _________ is used when data is in Tabular Format.

a. NumPy

b. Pandas

c. Matplotlib

d. All of the above

Q10. Which of the following command is used to install pandas?

a. pip install pandas

b. install pandas

c. pip pandas

d. None of the above

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Q11. A __________ is a collection of data values and operations that can be applied to that data.

a. Data Structure

b. Data Frame

c. Table

d. None of the above

Q12. A _______________ is a one-dimensional array.

a. Data Frame

b. Series

c. Both of the above

d. None of the above

Q13. Which of the following statement is wrong?

a. We can create Series from Dictionary in Python.

b. Keys of dictionary become index of the series.

c. Order of indexes created from Keys may not be in the same order as typed in dictionary.

d. All are correct

Q14. A Series by default have numeric data labels starting from ______________.

a. 3

b. 2

c. 1

d. 0

Q15. The data label associated with a particular value of Series is called its ______________

a. Data value

b. Index

c. Value

d. None of the above

Pandas MCQ Questions with Answers

Pandas MCQ Questions
Pandas MCQ Questions

Pandas MCQ Questions with Answers

Q16. Which of the following module is to be imported to create Series?

a. NumPy

b. Pandas

c. Matplotlib

d. None of the above

Q17. Which of the following function/method help to create Series?

a. series( )

b. Series( )

c. createSeries( )

d. None of the above

Q18. Write the output of the following :

>>> import pandas as pd 

>>> series1 = pd.Series([10,20,30])

>>> print(series1)

a.

Output:

0 10

1 20

2 30

dtype: int64

b.

Output:

10

20

30

dtype: int64

c.

Output:

0

1

2

dtype: int64

d. None of the above

Q19. When you print/display any series then the left most column is showing _________ value.

a. Index

b. Data

c. Value

d. None of the above

Q20. How many values will be there in array1, if given code is not returning any error?

>>> series4 = pd.Series(array1, index = [“Jan”, “Feb”, “Mar”, “Apr”])

a. 1

b. 2

c. 3

d. 4

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Q21. Which of the following statement will create an empty series named “S1”?

a. S1 = pd.Series(None)

b. S1 = pd.Series( )

c. Both of the above

d. None of the above

Q22. How many elements will be there in the series named “S1”?

>>> S1 = pd.Series(range(5))

>>> print(S1)

a. 5

b. 4

c. 6

d. None of the above

Q23. When we create a series from dictionary then the keys of dictionary become ________________

a. Index of the series

b. Value of the series

c. Caption of the series

d. None of the series

Q24. Write the output of the following :

>>> S1=pd.Series(14, index = ['a', 'b', 'c'])
>>> print(S1)

a.

a 14
b 14
c 14
dtype: int64

b.

a 14
dtype: int64

c. Error

d. None of the above

Q25. Write the output of the following:

>>> S1=pd.Series(14, 7, index = ['a', 'b', 'c'])
>>> print(S1)

a.

a 14
b 7
c 7
dtype: int64

b.

a 14
b 7
dtype: int64

c. Error

d. None of the above

Pandas MCQ Questions with Answers

Pandas MCQ Questions
Pandas MCQ Questions

Pandas MCQ Questions with Answers

Q26. Write the output of the following :

>>> S1=pd.Series([14, 7, 9] ,index = range(1, 8, 3))
>>> print(S1)

a.

14 1
7 4
9 7
dtype: int64

b.

1 14
4 7
7 9
dtype: int64

c. Error

d. None of the above

Q27. Which of the following code will generate the following output?

Jan 31
Feb 28
Mar 31
dtype: int64

a.

import pandas as pd
S1 = pd.Series(data = [31,28,31], index=["Jan","Feb","Mar"])
print(S1)

b.

import pandas as pd
S1 = pd.Series([31,28,31], index=["Jan","Feb","Mar"])
print(S1)

c. Both of the above

d. None of the above

Q28. Write the output of the following:

import pandas as pd
S1 = pd.Series(data = range(31, 2, -6), index = [x for x in "aeiou" ])
print(S1)

a.

a 31
e 25
i 19
o 13
u 7
dtype: int64

b.

a 31
e 25
i 19
o 13
dtype: int64

c. Error

d. None of the above

Q29. What type of error is returned by following code?

import pandas as pd
S1 = pd.Series(data = (31, 2, -6), index = [7, 9, 3, 2])
print(S1)

a. SyntaxError

b. IndexError

c. ValueError

d. None of the above

Q30. Write the output of the following :

import pandas as pd
S1 = pd.Series(data = 2*(31, 2, -6))
print(S1)

a.

0 31
1 2
2 -6
dtype: int64

b.

0 31
1 2
2 -6
3 31
4 2
dtype: int64

c.

0 31
1 2
2 -6
3 31
dtype: int64

d.

0 31
1 2
2 -6
3 31
4 2
5 -6
dtype: int64

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Q31. We can imagine a Pandas Series as a ______________ in a spreadsheet

a. Column

b. Cell

c. Table

d. None of the above

Q32. We can assign user-defined labels to the index of the series?(T/F)

a. True

b. False

Q33. Write the output of the following :

import pandas as pd
series2 = pd.Series([“Kavi”,”Shyam”,”Ravi”], index=[3,5,1])
print(series2 > “S”)

a.

3 False
5 False
1 False
dtype: bool

b.

3 False
5 True
1 False
dtype: bool

c.

3 True
5 True
1 True
dtype: bool

d. None of the above

Q34. Which of the following statement is correct for importing pandas in python?

a. import pandas

b. import pandas as pd

c. import pandas as pds

d. All of the above

Q35. What type of error is returned by following statement?

import pandas as pnd
pnd.Series([1,2,3,4], index = [‘a’,’b’,’c’])

a. SyntaxError

b. IndexError

c. ValueError

d. None of the above

Pandas MCQ Questions with Answers

Pandas MCQ Questions
Pandas MCQ Questions

Pandas MCQ Questions with Answers

Q36. Which attribute is used to give user defined labels in Series?

a. index

b. data

c. values

d. None of the above

Q37. Fill in the blank to get the ouput as 3

import pandas as pnd
S1=pnd.Series([1,2,3,4], index = ['a','b','c','d'])
print(S1[___________])

a. ‘c’

b. 2

c. c

d. All of the above

Q38. Write the statement to get NewDelhi as output using positional index.

import pandas as pd
S1 = pd.Series(['NewDelhi', 'WashingtonDC', 'London', 'Paris'],
index=['India', 'USA', 'UK', 'France'])

a. print(S1[0])

b. print(S1[‘India’])

c. Both of the above

d. print(S1.India)

Q39. We can access elements in Series by using ________ index and ____________index.

a. Numeric, labelled

b. Positional, Naming

c. Positional, labelled

d. None of the above

Q40. Write the output of the following :

import pandas as pd
S1 = pd.Series(['NewDelhi', 'WashingtonDC', 'London', 'Paris'], 
index=['India', 'USA', 'UK', 'France'])
print(S1['India', 'UK'])

a.

India NewDelhi
UK London
dtype: object

b.

India NewDelhi
UK Washington
dtype: object

c. Error

d. None of the above

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Q41. Which of the following statement will print Series ‘S1’ in reverse order?

a. print(S1[: : 1]

b. print(S1[: : -1]

c. print(S1[-1: : 1]

d. print(S1.reverse( ))

Q42. How many values will be modified by last statement of given code ?

import pandas as pd
S1 = pd.Series(['NewDelhi', 'WashingtonDC', 'London', 'Paris'], 
index=['A', 'B', 'C', 'D'])
S1['A' : 'C'] = 'ND'

a. 1

b. 2

c. 3

d. 4

Q43. How many values will be modified by last statement of given code ?

import pandas as pd
S1 = pd.Series(['NewDelhi', 'WashingtonDC', 'London', 'Paris'], 
index=['A', 'B', 'C', 'D'])
S1[1 : 3] = 'ND'

a. 1

b. 2

c. 3

d. 4

Q44. Which of the following property/attribute assign name to the Series?

a. name

b. index.name

c. size

d. Series.name

Q45. S1.values will return all the values of Series ‘S1’ in _________

a. Tuple

b. Dictionary

c. List

d. String

Q46. Which of the following property/attribute return total number of values in Series ‘S1’?

a. size

b. values

c. index

d. None of the above

Q47. Which of the following attributes returns True if there is no value in Series?

a. index

b. size

c. empty

d. values

Q48. Which of the following attributes returns all the values of Series?

a. size

b. index

c. name

d. values

Q49. Write the output of the following code:

import pandas as pd
S1=pd.Series()
print(pd.Series().empty)

a. True

b. False

c. Error

d. None of the above

Q50. Write the output of the following code :

import pandas as pd
S1=pd.Series([1,2,3,4])
S2=pd.Series([7,8])
S3=S1+S2
print(S3.size)

a. 2

b. 4

c. 6

d. Error

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Q51. Which of the following statement shows first five values of Series ‘S1’?

a. S1.head( )

b. S1.head( 5 )

c. Both of the above

d. None of the above

Q52. Write the output of the following :

import pandas as pd
S1=pd.Series([1,2,3,4])
S2=pd.Series([7,8])
print((S1+S2).count())

a. 6

b. 4

c. 2

d. 0

Q53. Which of the following returns number of non-NaN values of Series?

a. count

b. size

c. index

d. values

Q54. Write the output of the following :

import pandas as pd
S1=pd.Series([1,2,3,4])
S2=pd.Series([7,8,9,10])
S2.index=['a','b','c','d']
print((S1+S2).count())

a. 8

b. 4

c. 0

d. 6

Q55. We can perform _____________ on two series in Pandas.

a. Addition

b. Subtraction

c. Multiplication

d. All of the above

Q56. Which of the following method is used to add two series?

a. sum( )

b. addition( )

c. add( )

d. None of the above

Q57. Which of the following statement will display the difference of two Series ‘A’ and ‘B’?

a. >>>A – B

b. >>>A.sub(B)

c. Both of the above

d. None of the above

Q58. Which of the following fills the missing values in Series?

a. fill value

b. fill-value

c. fill_value

d. fill_value( )

Q59. Which of the following function is used for basic mathematical operations in Series?

a. add( )

b. mul( )

c. div( )

d. All of the above

Q60. Which of the following statement is replacing missing values of Series A and Series B by 100 .

a. >>> A.add(B, fill_value = 100)

b. >>>A.add(B, fill_value : 100)

c. >>> A.add(B, fill-value = 100)

d. >>> A.add(B, fill-value : 100)

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Q61. Mathematical Operations on two Series object is done by matching ____________

a. indexes

b. values

c. Both of the above

d. None of the above

Q62. Which of the following statement will display values more than 40 from Series ‘S1’?

a. >>>S1

b. >>> S1 > 40

c. >>>S1[S1 > 40]

d. None of the above

Q63. Which of the following statement will return 10 values from the bottom/end of the Series ‘S1’?

a. S1.tail( )

b. S1.tail(10)

c. S1.head(10)

d. S1(10)

Q64. Which of the following are valid operations on Series ‘S1’?

a. >>> S1 + 2

b. >>> S1 ** 2

c. >>> S1 * 2

d. All of the above

Q65. When an operation is carried out on every value of Series object is called _____

a. Scalar Operation

b. Vector Operation

c. Both of the above

d. None of the above

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Q66. Which of the following statement will modify the first three values of Series ‘S1’?

a. S1[0, 1, 2] = 100

b. S1[0 : 3] = 100

c. S1[ : 3] = 100

d. All of the above

Q67. We can have duplicate indexes in Series?(T/F)

a. True

b. False

Q68. What is the index value of 31 in given Series ‘S1’?

import pandas as pd
S1=pd.Series([1,2,31,4], index = ['a','b','c','d'])

a. ‘c’

b. 2

c. Both of the above

d. None of the above

Q69. S2 is ____________ in given code ?

S2 = S1[2 : 5] #S1 is a Series object

a. List

b. Tuple

c. Series

d. None of the above

Q70. Following two statements will provide the same output.(T/F)

>>>L1 * 2 #L1 is a list
>>>S1 * 2 #S1 is a Series

a. True

b. False

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Q71. Python libraries contain a collection of built-in _____________

a. Data

b. Modules

c. Packages

d. Data Structure

Q72. What is “Pandas” in the following statement?

import pandas as pd

a. Library

b. Module

c. Package

d. Function

Q73. Which of the following library help to visualize data?

a. Pandas

b. Numpy

c. Matplotlib

d. Random

Q74. Which of the following is a high level data manipulation tool used for analyzing data.?

a. Nump

b. Pandas

c. Matplotlib

d. Math

Q75. Pandas is the ____ library.

a. Freeware

b. Proprietary

c. Open source

d. End source

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Q76. Pandas Series is size __________ and value ___________

a. Mutable, Mutable

b. Immutable, Immutable

c. Immutable, Mutable

d. Mutable, Immutable

Q77. Pandas DataFrame is size ________ and value ________

a. Mutable, Mutable

b. Immutable, Immutable

c. Immutable, Mutable

d. Mutable, Immutable

Q78. ‘data’ in the following code could be _____________

S1 = pd.Series(data)

a. Python sequence

b. Scalar value

c. Python dictionary

d. All of the above

Q79. Choose the correct statement :

Statement1 : A Numpy array requires homogeneous data.
Statement2 : Pandas DataFrame can have heterogeneous data. 

a. Statement1 is correct

b. Statement2 is correct

c. Both the statements are correct

d. Both the statements are wrong

Q80. __________ is used when data is in Tabular Format.

a. Pandas

b. Numpy

c. Both of the above

d. None of the above

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Q81. Amit is working in an IT company. His boss asked him to prepare a chart in python. He is confused that which library will support plotting graph and data visualization in python. Help him to find the library

a. Pandas

b. Matplotlib

c. Numpy

d. Math

Q82. By using Matplotlib, we can generate ____

a. Histograms

b. Bar charts

c. Scatterplots

d. All of the above

Q83. Installing Pandas is very similar to installing ____________

a. Microsoft Word

b. Numpy

c. Python

d. MySQL

Q84. NumPy and Pandas can be installed only when ________ is already installed on that system.

a. Matplotlib

b. Python

c. Excel

d. Word

Q85. By default Series have _______ data labels starting from ___.

a. character, ‘a’

b. numeric, one

c. numeric, zero

d. character, zero

Q86. Write a statement to import pandas with alias name ‘pds’

a. import pandas as pds

b. Import pandas as pds

c. import panda as pds

d. import Pandas as pds

Q87. What is the index value of “Ravi” in the following Series?

import pandas as pd
S1 = pd.Series["Ram", "Raju", "Ravi", "Ramesh", "Rishabh"]

a. 0

b. 1

c. 2

d. 3

Q88. An output of series ‘S1’ is shown below, are the data values in ‘S1 and _ are the data labels in ‘S1’.

Output:

Feb         2
Mar        3
Apr        4
dtype: int64

a. Month name, Numbers

b. Numbers, Month name

c. Month name, Month name

d. Numbers, Numbers

Q89. What is the data type of given series ‘S1’?

import pandas as pd
S1=pd.Series('a', index=(2.0, 3.0, 4.0, 5.0))
print(S1)

a. float64

b. int64

c. object

d. string

Q90. How many elements will be there in given series ‘S1’?

import pandas as pd
S1=pd.Series('python practice')
print(S1)

a. 0

b. 1

c. 2

d. 15

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Q91. Two common ways for accessing the elements of a series are _________ and _______

a. Indexing, Concatenation

b. Labelled Indexing, Positional Indexing

c. Indexing, Slicing

d. Slicing, Cutting

Q92. How many times value ’10’ will be displayed in the given series ‘S1’?

import pandas as pd
S1=pd.Series(10, index = range(1, 10, 3))
print(S1)

a. 1

b. 3

c. 5

d. 4

Q93. Which of the following statement is correct to add NaN value in series?

a. S1=pd.Series([10, np.NaN,11])

b. S1=pd.Series([10, None, 11])

c. Both of the above

d. None of the above

Q94. Which of the following is parameter of Series( ) function?

a. data

b. index

c. dtype

d. All of the above

Q95. What is the data type of series ‘S1’ given below ?

S1=pd.Series([11, 12.5, “ok”])

a. int64

b. float64

c. object

d. object64

Q96. Which of the following attribute of Series is used to set the name of Series object?

a. size

b. name

c. index.name

d. values

Q97. Which of the following attribute is used to check NaN value in Series?

a. hasNans

b. hasnans

c. Hasnans

d. HasNans

Q98. Which of the following attribute of Series returns the tuple?

a. size

b. shape

c. values

d. index

Q99. What type of error is returned, when the length of index and the length of data in Series() function is not same?

a. Key Error

b. Value Error

c. Syntax Error

d. Name Error

Q100. Write a statement to display 12.5 as output using positional indexing.

import pandas as pd
S1=pd.Series([11, 12.5, None, 6], index=["J","F","M","A"])

a. print(S1[1])

b. print(S1[“J”])

c. print(S1[0])

d. print(S1[“F”])

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Q101. Can a Series have duplicate index value?

a. Yes

b. No

c. Yes, Only series with integer values

d. Yes, Only series with character values

Q102. Rosy wants to display the series ‘S1’ in reverse order. Help her to find the correct code.

a. >>> S1[ : : 1]

b. >>> S1[ : : -1]

c. >>> S1[ -1 : :]

d. >>> S1[ : 1 1]

Q103. Number of students in each section of class 9th is stored in series ‘S1’. Write a statement to change the value of section ‘A’ and ‘B’ to 50.

A      41
B      44
C      40
D      42
E       47

a. S1[ : 2] = 50

b. S1[0 : 2] = 50

c. Both of the above

d. None of the above

Q104. head( ) function return __________ n rows and tail function return _____________ n rows from a pandas object.

a. last, first

b. first, second

c. last, seven

d. first, last

Q105. Series ‘S1’ has five values with index value (0, 1, 2, 3, 4) and series ‘S2’ has five values with index (2, 3, 4, 5, 6). What will be the total number of values in ‘S3’ if S3 = S1 + S2

a. 5

b. 6

c. 7

d. 8

Q106. Raman performed addition of series ‘S1’ and ‘S2’ and store the result in series ‘S3’. Both the series ‘S1’ and ‘S2’ have five mismatching index value. How many NaN will be there in ‘S3’?

a. 2

b. 3

c. 4

d. 5

Q107. Which of the following statement return Boolean result?

import pandas as pd
S1=pd.Series([11, 12, 5, 6,9])
print(S1) #Statement 1
print(S1>7) #Statement 2
print(S1[S1>7]) #Statement 3

a. Statement 1

b. Statement 2

c. Statement 3

d. None of the above

Q108. Which of the following statement return Filtered result?

import pandas as pd
S1=pd.Series([11, 12, 5, 6,9])
print(S1) #Statement 1
print(S1>7) #Statement 2
print(S1[S1>7]) #Statement 3

a. Statement 1

b. Statement 2

c. Statement 3

d. None of the above

Q109. Amit is working in an IT firm as Data Manager. He stored the salary of all employees in Series named “Empser”. His Boss asked him to filter the employees whose salary is more than 20000. Help him to find the correct code. Sample of data stored is shown below.

0      25000
1      20000
2     21000
3     30000

a. print(Seremp > 20000)

b. print(Seremp (Seremp> 20000) )

c. print(Seremp [Seremp > 20000] )

d. print[Seremp> 20000]

Q110. __________ function is used to sort a Series object on the basis of values.

a. sort.values( )

b. sort_values( )

c. sort_value( )

d. sort_Values

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Q111. Anshuman wants to create a series named ‘S1’. He has written the following codes. His friend Shubham checked the code and said that one of the code given below is not working. As a friend of Anshuman, help him to find the incorrect code.

a. S1=pd.Series(data=[11, 12, 5, 6,9],index=[1,2,3,4,5])

b. S1=pd.Series([11, 12, 5, 6,9],index=[1,2,3,4,5])

c. S1=pd.Series([11, 12, 5, 6,9],[1,2,3,4,5])

d. S1=pd.Series(data=[11, 12, 5, 6,9], [1,2,3,4,5])

Q112. Sonal is a class XII student. She is learning “Series” in Python. She is confused in “parameter of Series( ) function”. Help her to find the incorrect parameter.

a. data

b. index

c. number

d. dtype

Q113. Roshan has written few points about iloc( ) function of Series in Python. His friend Suman told that one of the written statement is not correct. Help him to find the incorrect statement.

a. In iloc( ) method, we have to pass an integer index.

b. This method include the last element of the range passed.

c. S1.iloc[3] will display fourth value of Series ‘S1’

d. S1.iloc[:3] will display first three values of Series ‘S1’

Q114. print(S1[-1]) will return ___________ #’S1′ is a series

a. last element of series ‘S1’

b. first element of series ‘S1’

c. Key Error

d. all elements of series ‘S1’

Q115. >>> S1[1:3] = 50 will update the value of ___________ elements

a. 1

b. 2

c. 3

d. 4

Q116. ____________ statement will assigns a name to the Series ‘S1’.

a. >>> S1.name = “Empl”

b. >>> S1_name = “Empl”

c. >>> S1[name] = “Empl”

d. >>> S1.indexname = “Empl”

Q117. Write the output of the following:

import pandas as pd
S1=pd.Series(data=[11, 12, None, 6,9,7],index=[1,12,3,4,2,4])
print(S1.count())

a. 4

b. 6

c. 5

d. Error

Q118. While performing mathematical operations on series, index matching is implemented and all missing values are filled in with ___________ by default

a. NaN

b. None

c. 0

d. 1

Q119. Mr. Kumar is working in an IT company. He stored the salaries of all the employees of January month in Series ‘Jan_Sal’ and salaries of February month in Series ‘Feb_Sal’. Now he wants to add the salaries of both months. He has written the following statement. Identify the correct one.

a. print(Feb_Sal + Jan_Sal)

b. print(Feb_Sal_add_Jan_Sal)

c. print(Feb_Sal plus Jan_Sal)

d. None of the above

Q120. Which of the following method is used to subtract the two series?

a. subtract( )

b. subtraction( )

c. diff( )

d. sub( )

Pandas MCQ Questions with Answers


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Pandas MCQ Questions with Answers

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