CBSE Class 12 Dataframe Mock Test Free

Introduction

A DataFrame is a tabular data structure with two dimensions that is widely used for data analysis and manipulation in programming languages such as Python, R, and Pandas.

In a dataframe, rows represent separate observations or instances, while columns represent variables or attributes.

Each cell in the DataFrame contains a value, and all the cells in a particular column have the same data type.

Dataframes are ideal for managing and manipulating large datasets, as they allow for efficient data cleaning, transformation, and analysis.

They can be created from various data sources such as CSV files, Excel spreadsheets, or databases, and can be exported to these formats as well.

Overall, DataFrame provide a flexible and convenient way to organize and analyze data, making them an indispensable tool for data scientists, analysts, and researchers.

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Results

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#1. Find the output a = np.array([[1,2,3],[0,1,4]]) print (a.size)

2

2

0

0

6

6

None of the above

None of the above

#2. Find the output s1=pd.Series() print(s1.empty) ? import pandas as pd

0

0

False

False

True

True

None of the above

None of the above

#3. Find the value of i arr=np.array([2,3,4,5]) for i in arr: print(i-1)

1 2 3 4

1 2 3 4

1 2 3

1 2 3

1 2

1 2

1 4

1 4

#4. Find the output of arr

[10 -7 -5] [ 1 30 3]

[10 -7 -5] [ 1 30 3]

[[10 -7 -5] [ 1 30 3]]

[[10 -7 -5] [ 1 30 3]]

[[10 -7 -5 1 30 3]]

[[10 -7 -5 1 30 3]]

{[10 -7 -5 1 30 3]}

{[10 -7 -5 1 30 3]}

#5. Find the code / line that comes after the line :- df = pd.DataFrame([8]) to add a column name 'Rollno' .

df.columns:['Rollno']

df.columns:[‘Rollno’]

df.column= ['Rollno']

df.column= [‘Rollno’]

df.columns= 'Rollno'

df.columns= 'Rollno'

df.columns= ('Rollno')

df.columns= ('Rollno')

#6. Find the output of x x=np.array([ [1,2], [3,4] ]) print(x.T)

[[1 3]]

[[1 3]]

[ [1,2] [3,4] ]

[ [1,2] [3,4] ]

[[1 3] [2 4]]

[[1 3] [2 4]]

[[2 4]]

[[2 4]]

#7. df = pd.DataFrame(columns = ['A', 'B', 'C']) df is an empty dataframe with columns A,B,C. Write the code to add value 1 in column A in df (row index=0) ? add 12 in row row index=0

: df.loc(0, 'A') = 1

: df.loc(0, 'A') = 1

: df.loc[1, 'A'] = 0

: df.loc[1, ‘A’] = 0

: df.loc['A'] = 1

: df.loc[‘A’] = 1

df.loc[0, 'A'] = 1

df.loc[0, ‘A’] = 1

#8. Find the Output a=np.array([1,9,10]) b=np.array([9,-4,NaN]) arr=np.add(a,b)
print(arr) ? np.NaN

[10, 5, 10]

[10, 5, 10]

[1,9,10,9,-4]

[1,9,10,9,-4]

[10,5] d.

[10,5] d.

[10. 5. nan]

[10. 5. nan]

#9. df = pd.DataFrame(columns= ['A','B','C']) df is an empty data-frame with columns A,B,C. Write the code to add values 2,3,4 in respective columns.

df.loc[0] = [2, 3, 4]

df.loc[0] = [2, 3, 4]

df.loc[0] = 2, 3, 4

df.loc[0] = 2, 3, 4

df.loc[1,2,3] = [2, 3, 4]

df.loc[1,2,3] = [2, 3, 4]

None of the above

None of the above

#10. x='1' y=np.arange(2) print(int(x)+y)

[1 2]

[1 2]

[2]

[2]

[0 1]

[0 1]

None of the above

None of the above

#11. Which one of the following is a keyword in python?

Link

Link

Ask

Ask

Data

Data

in

in

#12. Dataframe has two different index at ______ and _______

0 1

0 1

row column

row column

left right

left right

None of the above

None of the above

#13. What will be output for the following code? a = np.array([1,2,3,5,8]) print (a.ndim)

4

4

3

3

2

2

1

1

#14. Find the output
arr=np.array(['Farhan',68,86])
x=arr[1]
y=arr[-1]
sub_value=x+y
print(sub_value)

18

18

6886

6886

86

86

68

68

#15. x=3.999, then int(x) will give

3

3

4

4

3.9

3.9

.999

.999

#16. Find the output of arr arr=np.linspace(1,2,2)

[1]

[1]

[0]

[0]

[2]

[2]

[1 2]

[1 2]

#17. Which one of the following is a valid example of dictionary (named-animal) in python.

A

A

B

B

C

C

D

D

#18. Find the value of x x=np.array([.5,.1]) x=x*10 print(x)

[5 1]

[5 1]

[1]

[1]

[5]

[5]

[4]

[4]

#19. In which of the following data type, duplicate items are not allowed ?

Array

Array

set

set

dictionary

dictionary

list

list

#20. arr=np.array([9,10]) print(-arr)

Display an error

Display an error

[9,10]

[9,10]

[-1]

[-1]

[ -9 -10]

[ -9 -10]

Finish

Python Dataframe Programs MCQ-2

tags: CBSE Class XII Informatics Practices(IP)

Pub Date: 15/04/2021

Category:Python Program

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Python Dataframe Programs MCQ-3

TAGS: CBSE Class XII Informatics Practices(IP)

Pub Date: 15/05/2021

category: Python program

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Python Dataframe Programs MCQ-4

TAGS: CBSE Class XII Informatics Practices(IP)

Pub Date: 15/07/2021

category: python program

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