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Dataframe

Authored by Suman Joshi

Computers

10th - 12th Grade

Used 158+ times

Dataframe
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12 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Full form of NaN is

Not a Null

Not a Number

Not a Numeric

None of these

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Data structures in Pandas can be mutated in the terms of ____ but not of _____.

size, value

value, size

semantic, size

none of the above

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

pandas is a:

Data Structure

Series

Dataframe

Library

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Write the output for the following:

import pandas as pd1

s = pd1.Series(5, index=[0, 1, 2, 3])

print(s)

0 5

0 5

1 5

2 5

3 5

dtype: int64

1 5

2 5

2 5

4 5

dtype: int64

0 5

1 5

2 5

3 5

dtype: object

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

write the output:

import pandas as pd1

s = pd1.Series([1,2,3])

t = pd1.Series([1,2,4])

u=s-t

print (u)

0 1

1 0

2 1

dtype: int64

0 0

1 0

2 1

dtype: int64

0 0

1 0

2 -1

dtype: float64

0 0

1 0

2 -1

dtype: int64

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

write the output:

import pandas as pd

s=pd.Series([1,2,3,4],index=['a','b','c','d'])

print(s.iloc[2:4])

b 2

c 3

d 4

dtype: int64

b 3

c 4

dtype: int64

c 3

d 4

dtype: int64

none of the above

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

write the output:

import pandas as pd

s=pd.Series([1,2,3,4],index=['a','b','c','d'])

print(s.loc['b':'d'])

b 2

c 3

d 4

dtype: float64

b 2

c 3

d 4

dtype: object

c 3

d 4

dtype: int64

b 2

c 3

d 4

dtype: int64

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