Which of the following is correct statement for creating a series to assign None to all series elements of 5 elements?

s = pd.Series(None,index=[1,2,3,4,5])

Which one of the following is correct statement to create series 35,38,41,44 using a python sequence?

s = pd.Series(range(35 to 45,3))

While importing pandas and numpy, you must use identifier name as pd and np only. Choose the correct answer

Yes, Always otherwise it will produce error

pd and np are keywords used for pandas and numpy

pd and np are identifiers used in the respective module

Which of the following is correct way of assigning a labelled index to series?

s=pd.Series([22,33,44,56,78],index=range(5,10))

s=pd.Series(index=range(5,10),[22,33,44,56,78])

s=pd.Series(index=range(5,10),dt=[22,33,44,56,78])

s=pd.Series({22,33,44,56,78},index=range(5,10))

Which of the following statement is fales with respect to accessing series elements through slicing?

The values of last positional index is included

It can be used as same as numpy or list slicing

It requires slicing start and end parameters

The series must be created with a sequence to access using slicing

Mr. Sidhhart wants to define the index explicitely for a series named s. Which of the following statement(s) is/are correct?

Statement 1: s.index=['1st', '2nd', '3rd', '4th'] Statement 2: s.index('1st', '2nd', '3rd', '4th')

None of these statements are correct

Series is 1-D labelled array having two parts i.e. Index, Data. We can create series from:

All 4 ( ie Python Sequence , Dictionary , Scalar value , Numpy Array)

What will be the output of following code- import pandas as pd Myseries3=pd.Series([1, 2, 2, 7, 'Learnpython4cbse', 77.5]) print(Myseries3.head())

First five data elements of series along with its indices i.e. 0,1,2,3,4 respectively

Last data elements of series along with its indices i.e. -1.

First data element of series along with its indices i.e. 0.

Which index, data elements will be printed by below code as output : import pandas as pd Lst1 = [11,12,13,14] Myseries2 = pd.Series(Lst1) print(Myseries2,loc[2:])

Data : 13,14 along with series-index 2,3

Data : 12,13,14 along with series-index 1,2,3

Data : 13,14 along with series-index 'C','D'

Data : 12,13,14 along with series-index 'B','C','D'

While trying to create series from dictionary, keys of dictionary become index.

Depends on Machine Configuration

Which of the following statement is correct with respect to loc and iloc?

both are used for to access values based on index labels

iloc does not include the last element of the range

loc does not include the last element of the series

Pandas Series Quiz vl 24/1/25

Authored by Vaishali Lamba

Computers

12th Grade

Used 4+ times

AI Actions

Add similar questions

Adjust reading levels

Convert to real-world scenario

Translate activity

More...

Content View

Student View

93 questions

Show all answers

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is true?

If data is an ndarray, index must be the same length as data.

Series is a one-dimensional labeled array capable of holding any data type.

Both of the above

None of the above

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Pandas series is a combination of________

Records arranged in row and column

Collection of 1 dimensional data and associated index

Collection of 2 dimensional data

Collection of 3 dimensional data

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following are ways to access series elements?

Using for loop

Indexing

Slicing

All of these

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is correct statement to create a series of multiple table of 3?

s = pd.Series(range(3,31,3))

s = pd.Series(range(3,3*11))

s = pd.Series(range(3,3,3))

All of these

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

To specify datatype int16 for a Series object, you can write :

pd.Series(data = array, dtype = int16)

pd.Series(data = array, dtype = numpy.int16)

pd.Series(data = array.dtype = pandas.int16)

all of the above

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Pandas supports which of the following types of indexes?

Positional and Labelled Indexing

Numbered and Valued Indexing

Row and Column Indexing

Loop Indexing

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is correct statement to create a series of multiple repeated values 44,55 for three times?

s = pd.Series([44,55],3)

s = pd.Series(np.tile[44,55],3)

s = pd.Series(44,55,3)

s = pd.Series(range(44 and 55, 3))

Access all questions and much more by creating a free account

Create resources

Host any resource

Get auto-graded reports

Continue with Google

Continue with Email

Continue with Microsoft

or continue with

Facebook

Apple

Others

Already have an account?

Similar Resources on Wayground

97 questions

SQL: GROUP Functions

Quiz

•

8th Grade - Professio...

Popular Resources on Wayground

24 questions

PBIS-HGMS Day 10

Quiz

•

6th - 8th Grade

10 questions

HCS SCI 03 Summer School Review 3

Quiz

•

3rd Grade

11 questions

Home Scope

Quiz

•

7th - 8th Grade

15 questions

HCS SCI 05 Summer School Assessment 3 Review

Quiz

•

5th Grade

35 questions

Lufkin Road Middle School Student Handbook & Policies Assessment

Quiz

•

7th Grade

18 questions

Geo 11.3 Area of Circles and Sectors

Quiz

•

9th - 11th Grade

Pandas Series Quiz vl 24/1/25

Which of the following is true?

Pandas series is a combination of________

Which of the following are ways to access series elements?

Which of the following is correct statement to create a series of multiple table of 3?

To specify datatype int16 for a Series object, you can write :

Pandas supports which of the following types of indexes?

Which of the following is correct statement to create a series of multiple repeated values 44,55 for three times?

Which of the following correct statement for creating empty series? (Assume that pandas library is already imported as pd)

Which of the following is correct statement for creating a series to assign None to all series elements of 5 elements?

Which one of the following is correct statement to create series 35,38,41,44 using a python sequence?

Access all questions and much more by creating a free account

Similar Resources on Wayground

Popular Resources on Wayground