Important Python MCQ Online Test 5

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This post is about the Python MCQ Online Test with Answers. It consists of 20 multiple-choice questions about Data and Data Structures in Python. Let’s start with the Python MCQ Online Test with Answers.

Online Multiple Choice questions about Python Programming with answers

1. What will the following Python code do?
set1={"a", 3, "b", 3}
set1.remove(3)

 
 
 
 

2. Which of the following is True regarding lists in Python?

 
 
 
 

3. What data type is the object below?
L = [1, 23, 'hello', 1]

 
 
 
 

4. A ————— NumPy array can be created from a list of lists, where each internal list is the same length.

 
 
 
 

5. A 5 x 5 numpy multidimensional array x is created. How do you access elements in the first row?

 
 
 
 

6. In pandas, what is the difference between the iloc[] and loc[] methods?

 
 
 
 

7. A 5 x 5 numpy multidimensional array called $x$ is created. How to add a scalar $b$ to the $x$ matrix?

 
 
 
 

8. Which of the functions below can we use to acquire the value at a certain row?

 
 
 
 

9. Which of the following is not a core data type in Python programming?

 
 
 
 

10. Which pandas function does a data professional use to convert categorical variables into dummy variables?

 
 
 
 

11. Which among the following are mutable objects in Python?

  1. List
  2. Integer
  3. String
  4. Tuple
 
 
 
 

12. How do you create a 25 x 25 identify matrix in numpy?

 
 
 
 

13. How is the data for each row in a CSV file stored once it is read?

 
 
 
 

14. A data professional is working with a list of named cities that contains data on global cities. The string ‘Houston’ is the third element in the list. What Python code can they use to remove the string ‘Houston’ from the list?

 
 
 
 

15. A data professional is working with a list of named cities that contains data on global cities. What Python code can they use to add the string ‘Multan’ as the second element in the list?

 
 
 
 

16. What does the “iloc” method of a pandas data frame do?

 
 
 
 

17. We have a JSON dataset stored in the file_path directory. Which method is used to import JSON data into a pandas data frame?

 
 
 
 

18. How to find a multi-dimensional numpy array called $x$ in Python?

 
 
 
 

19. In Python, which of the following characters can a data professional use to instantiate a dictionary?

 
 
 
 

20. What will be the result of the following Python code?
set1 = {1, 2, 3}
set1.add(4)
set1.add(4)
print(set1)

 
 
 
 

Python MCQ Online Test with Answers

Python MCQ Online Test with Answers

  • We have a JSON dataset stored in the file_path directory. Which method is used to import JSON data into a pandas data frame?
  • How do you create a 25 x 25 identify matrix in numpy?
  • A 5 x 5 numpy multidimensional array x is created. How do you access elements in the first row?
  • A 5 x 5 numpy multidimensional array called $x$ is created. How to add a scalar $b$ to the $x$ matrix?
  • How to find a multi-dimensional numpy array called $x$ in Python?
  • How is the data for each row in a CSV file stored once it is read?
  • A ————— NumPy array can be created from a list of lists, where each internal list is the same length.
  • In pandas, what is the difference between the iloc[] and loc[] methods?
  • A data professional is working with a list of named cities that contains data on global cities. The string ‘Houston’ is the third element in the list. What Python code can they use to remove the string ‘Houston’ from the list?
  • What does the “iloc” method of a pandas data frame do?
  • A data professional is working with a list of named cities that contains data on global cities. What Python code can they use to add the string ‘Multan’ as the second element in the list?
  • Which pandas function does a data professional use to convert categorical variables into dummy variables?
  • Which of the functions below can we use to acquire the value at a certain row?
  • In Python, which of the following characters can a data professional use to instantiate a dictionary?
  • What will be the result of the following Python code? set1 = {1, 2, 3} set1.add(4) set1.add(4) print(set1)
  • What will the following Python code do? set1={“a”, 3, “b”, 3} set1.remove(3)
  • Which of the following is True regarding lists in Python?
  • Which among the following are mutable objects in Python?
  1. List
  2. Integer
  3. String
  4. Tuple
  • Which of the following is not a core data type in Python programming?
  • What data type is the object below? L = [1, 23, ‘hello’, 1]
Python MCQ Online Test with Answers

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Generating Regular Sequences in R

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R language has a number of facilities for generating commonly used sequences of numbers. There are a number of functions for generating regular sequences in R to perform data analysis tasks:

  • Colon Operator (:)
  • seq() Function
  • rep() Function

Generating Regular Sequences in R Language

Usually, the functions related to generating regular sequences in R are used to create index vectors, vectors of evenly spaced numbers, repeating the patterns, and creating sequences for plotting.

Colon Operator (:)

The colon operator generates a sequence of integers, for example, 1:30 is the vector c(1, 2, …, 29, 30). The colon operator has a high priority within an expression, for example, 2*1:15 is the vector c(2, 4, …, 28, 30).

Let set $n=10$ and then compare the sequences $1:n-1$ and $1:(n-1)$:

n = 10
1:n-1
1:(n-1)
Generating Regular Sequences in R Language

The 30:1 may be used to generate a sequence backward.

30:1
## Output
 [1] 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10  9  8  7  6
[26]  5  4  3  2  1

The seq() Function

The seq() functions offer more flexibility and control over generating sequences. The seq() functions have five arguments, some of which may be specified in any call. The first two arguments of the function specify the beginning and end of the sequence.

Like other R functions, the arguments to seq() can also given in named form, in which case the order in which they appear is irrelevant. The first two arguments of seq() functions may be named from=value and to=value. Therefore seq(1, 30), seq(from = 1, to = 30) and seq(to = 30, from = 1) are all the same as 1:30. The other two arguments may be named by = value and length = value, which specify a step size and a length for the sequence, respectively. By default the by argument is set to 1, that is, by = 1. The examples of seq() functions are

seq(1, 20)
## Output
[1]  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20

seq(from = 1, to = 20)
## Output 
[1]  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20

seq(from = 1, to = 20, by = 1)
## OUtput
[1]  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20

seq(-5, 5, by = 0.2)
##
 [1] -5.0 -4.8 -4.6 -4.4 -4.2 -4.0 -3.8 -3.6 -3.4 -3.2 -3.0 -2.8 -2.6 -2.4 -2.2
[16] -2.0 -1.8 -1.6 -1.4 -1.2 -1.0 -0.8 -0.6 -0.4 -0.2  0.0  0.2  0.4  0.6  0.8
[31]  1.0  1.2  1.4  1.6  1.8  2.0  2.2  2.4  2.6  2.8  3.0  3.2  3.4  3.6  3.8
[46]  4.0  4.2  4.4  4.6  4.8  5.0

seq(length = 51, from = -5, by = 0.2)

Note that if only the first two arguments are given the result is the same as the colon operator. For example, seq(2, 10) results in the same output as 2:10.

The length.out argument may be used to generate a sequence of evenly spaced numbers, for example,

# generate a sequence of evenly spaced numbers between 0 and 1
seq(from = 0, to = 1, length.out = 11) 

## Output
[1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

The fifth argument may be named along = vector, which is normally used as the only argument to create the sequence 1,2, …., length(vector) or the empty sequence if the vector is empty. For example

x = rnorm(10)
seq(along = x)

## Output
[1]  1  2  3  4  5  6  7  8  9 10

The rep() Function

The rep function is used for replicating or repeating an object in various complicated ways. The simplest form of the rep() function is

rep(1:5, times = 5)

## Output
[1] 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5

The rep(1:5, times = 5) will put five copies of 1:5 end-to-end. The other useful version of rep() function is

rep(1:5, each = 5)

## Output
[1] 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 5 5 5 5 5

The rep(1:5, each = 5) repeats each element of 1:5 five times before moving on to the next number.

Frequently Asked Questions About R, generating regular sequences in R

R Language Quiz

General Knowledge Quizzes

Statistics and Data Analysis

Frequently Asked Questions about Generating Sequences

  • Describe R functions that are used to generate regular sequences.
  • What is the use of seq() function in R?
  • Give some examples of colon operators in R?
  • Describe rep() function in R with examples.
  • What is the length.out argument in seq() function?
  • Write about important arguments of seq() function in R language.
  • How one can generate a sequence backward, give an example.

R Programming Quiz Questions and Answers 18

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This post is about “R Programming Quiz Questions and Answers”. There are 20 multiple-choice type questions from R programming covering topics related to the output of different R commands, R console, matrices, data frames, factors, vectors, R objects, and different operations on R objects. Let us start with R Programming Quiz Questions and Answers.

Please go to R Programming Quiz Questions and Answers 18 to view the test

R FAQS R Programming Quiz Questions and Answers

R Programming Quiz Questions and Answers

  • The output of seq(10, 1, -2) is
  • What will be the output of the following lines of code? x <- 31 if (x %% 2 == 0){ print(“X is even”) }else { print(“X is odd”) }
  • What would be the output of 1:5 + 5:1.
  • What will be the output of the following x <- vector(“numeric”, length = 10); print(x)
  • What would be the output of the following code? x <- 1:4 y <- 6:9 z <- x + y print(z)
  • What will be the output of the following X <- factor(c(“yes”, “yes”, “yes”, “no”, “yes”, “no”, “no”) table(X)
  • The output of the seq(1, 10, 2) is
  • What will be the output of the following code X <- factor(c(“m”, “m”, “m”, “f”, “m”, “f”, “f”) table(X)
  • What is the output of 1:4 + 4:1
  • R console is a tool that is used to write (insert) standard
  • The following command will find the 60th percentile for the variable $disp$
  • The multiplication of two matrices $A$ and $B$ can be performed in R using the operator
  • Which command will create a matrix of the first 9 numbers in 3 rows and 3 columns?
  • When we compare two vectors element by element the resultant outcome is a
  • Which of the following function can be used to create a vector having repeated values
  • The Vectors, data frames, or matrices containing decimal values can be converted to integers using
  • What is the data type of vector $a$ if a <- c(1, “m”, FALSE)
  • All columns in a matrix must have the
  • To perform one-way Analysis of variance, one can use function
  • In R, object name cannot start with
R Programming Quiz Questions and Answers

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