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Class 12 IP – Series & DataFrame

Class 12 · Informatics Practices Sun, 27 Sep 2026 8:00 PM 60s / question 15 questions · 15 marks

Questions From This Challenge

Q1mcq1 mark

What will be the output? import pandas as pd s = pd.Series([10, 20, 30, 40], index=['A', 'B', 'C', 'D']) print(s[['D', 'B']] + 5)

D 45, B 25 ✓

B 25, D 45

D 40, B 20

0 45, 1 25

Q2output1 mark

What will be the output?

import pandas as pd
s = pd.Series([5, 10, 15, 20, 25])
print(s[1:4] * 2)

Correct output:

1    20
2    30
3    40
dtype: int64

Q3mcq1 mark

What will be the output? import pandas as pd s = pd.Series({'A': 10, 'B': 20, 'C': 30, 'D': 40}) print(s[['A', 'C']] + s[['C', 'D']])

A NaN, C 60.0, D NaN ✓

A 10.0, C 60.0, D 40.0

A 20.0, C 60.0, D 80.0

C 60.0

Q4mcq1 mark

What will be the output? import pandas as pd s = pd.Series([10, 20, 30, 40, 50, 60]) print(s.head(4).tail(2))

0 10, 1 20

2 30, 3 40 ✓

3 40, 4 50

4 50, 5 60

Q5output1 mark

What will be the output?

import pandas as pd
s = pd.Series(5, index=['X', 'Y', 'Z'])
s['Y'] = s['X'] + 7
print(s)

Correct output:

X     5
Y    12
Z     5
dtype: int64

Q6mcq1 mark

What will be the output? import pandas as pd df = pd.DataFrame({ 'Name': ['A', 'B', 'C', 'D'], 'Marks': [72, 88, 65, 91], 'Age': [16, 17, 16, 17] }) print(df[df['Marks'] > 70]['Name'])

0 A, 1 B, 3 D ✓

0 72, 1 88, 3 91

A B D

1 B, 2 C, 3 D

Q7output1 mark

What will be the output?

import pandas as pd
df = pd.DataFrame({
    'A': [10, 20, 30, 40],
    'B': [5, 15, 25, 35]
})
df['C'] = df['A'] - df['B']
df['B'] = df['C'] + 10
print(df)

Correct output:

A   B  C
0  10  15  5
1  20  15  5
2  30  15  5
3  40  15  5

Q8mcq1 mark

What will be the output? import pandas as pd df = pd.DataFrame({ 'Name': ['A', 'B', 'C'], 'Marks': [70, 85, 90], 'Age': [16, 17, 16] }) df = df.drop(columns=['Age']) df.rename(columns={'Marks': 'Score'}, inplace=True) print(df)

Name Marks: A 70, B 85, C 90

Name Score: A 70, B 85, C 90 ✓

Score Name: 70 A, 85 B, 90 C

Name Age: A 16, B 17, C 16

Q9output1 mark

What will be the output?

import pandas as pd
df = pd.DataFrame({
    'Name': ['A', 'B', 'C', 'D'],
    'Marks': [60, 80, 75, 90]
})
x = df[df['Marks'] >= 75]
print(x.head(2))

Correct output:

Name  Marks
1    B     80
2    C     75

Q10output1 mark

What will be the output?

import pandas as pd
df = pd.DataFrame({
    'A': [10, 20, 30],
    'B': [40, 50, 60]
})
df['C'] = df['A'] + df['B']
df = df[['C', 'A']]
print(df)

Correct output:

Q11output1 mark

What will be the output?

import pandas as pd
s = pd.Series([12, 24, 36, 48, 60])
x = s[1:5:2]
print(x)

Correct output:

1    24
3    48
dtype: int64

Q12output1 mark

What will be the output?

import pandas as pd
df = pd.DataFrame({
    'Name': ['A', 'B', 'C', 'D'],
    'Marks': [75, 90, 65, 85]
})
df['Result'] = df['Marks'] >= 70
print(df[df['Result']])

Correct output:

Name  Marks  Result
0    A     75    True
1    B     90    True
3    D     85    True

Q13output1 mark

What will be the output?

import pandas as pd
df = pd.DataFrame({
    'A': [10, 20, 30, 40],
    'B': [1, 2, 3, 4]
})
df['A'] = df['A'] + df['B']
df = df[df['A'] > 25]
print(df)

Correct output:

A  B
2  33  3
3  44  4

Q14output1 mark

What will be the output?

import pandas as pd
df = pd.DataFrame({
    'Name': ['A', 'B', 'C', 'D'],
    'Marks': [70, 85, 60, 95]
})
df = df[df['Marks'] > 65]
df = df[['Name', 'Marks']]
print(df.tail(2))

Correct output:

Name  Marks
1    B     85
3    D     95

Q15output1 mark

What will be the output?

import pandas as pd
df = pd.DataFrame({
    'A': [10, 20, 30],
    'B': [40, 50, 60],
    'C': [70, 80, 90]
})
df['B'] = df['A'] + df['C']
df = df[['C', 'B']]
print(df)

Correct output:

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