February 7, 2023

50 most important Python Numpy MCQ questions and answers are given below. These Numpy multiple choice questions include both theory and coding questions based on Numpy. We are also planning to add Numpy MCQ Question and Answers PDF download link.

NumPy is a library for the Python programming language that adds support for large, multi-dimensional arrays and matrices, as well as a large collection of high-level mathematical functions to operate on these arrays. We have added pandas and python mcqs questions and mcqs on pyspark.

## Python Numpy MCQ Questions and Answers 2023

Question 1. What does NumPY stand for?
A: Numbering Python
b: number in python
C: Numerical Python
D: none of the above

Question 2. NumPy is often used with packages such as?
A: node.js
B: Matplotlib
C: scipy
D : Both B and C

Answer :- both b and c

Question 3. The most important object defined in NumPy is an N-dimensional array type called?
A: Ndarre
B: Narrative
C: nd_array
D: Darre

4. What will be the output for the following code?

import numpy as np
A = NP. array ([1,2,3],
print a

a : [[1, 2, 3],
B : [1]
C : [1, 2, 3]
D: error

5. What will be the output for the following code?

import numpy as np
A = NP. array ([1, 2, 3]dtype = complex)
print a
Why.

a : [[ 1.+0.j, 2.+0.j, 3.+0.j],
B : [ 1.+0.j]
C: error
D : [ 1.+0.j, 2.+0.j, 3.+0.j]

Question 6. Which of the following statements is false?
A: ndarray is also known as axis array.
B: ndarray.dataitemSize is the buffer that holds the actual elements of the array.
C: NumPy key object homogeneous multidimensional array
D: In Numpy, dimensions are called axes

Answer:- ndarray is also known as axis array.

Question 7. If one dimension is given as ____ in the reshaping operation, the other dimensions are automatically calculated.
A: zero
bone
C: negative
D: Infinite

Question 8. Which of the following determines the size of the buffer used in ufuncs?
A: bufsize (size)
B: set size (size)
C : setbufsize(size)
D: size (size)

9. What will be the output for the following code?

import numpy as np
dt = dt = np.dtype(‘i4’)
print dt
Why.

A: int32
B: int64
C: int128
D: int16

Q.10. Each built-in data type has a character code that uniquely identifies it. What does code “M” mean?
A: timedelta
B: DateTime
C: Objects
D: Unicode

Q.11. By whom is Numpy developed?
A: Guido van Rossum
B: Travis Oliphant
C: Wes McKinney
D: Jim Huguenin

Q.12. Which of the following Numpy operation is correct?
A: Mathematical and logical operations on arrays.
B: Fourier transform and routines for shape manipulation.
C: Operations related to linear algebra.
D. All of the above

Answer :- all of the above

Q.13. created using basic ndarray?
A: numpy.array(object, dtype = None, copy = True, suboc = False, ndmin = 0)
B: numpy.array(object, dtype = None, copy = True, order = None, suboc = False, ndmin = 0)
C: numpy_array(object, dtype = None, copy = True, order = None, suboc = False, ndmin = 0)
D: numpy.array(object, dtype = None, copy = True, order = None, ndmin = 0)

Answer:- numpy.array(object, dtype = None, copy = True, order = None, suboc = False, ndmin = 0)

14. What will be the output for the following code?

import numpy as np
A = NP. array ([1, 2, 3,4,5]damin = 2)
print a
Why.

a : [[1, 2, 3, 4, 5],
B : [1, 2, 3, 4, 5]
C: error
D: zero

Answer:- [[1, 2, 3, 4, 5],

Q.15. what is the syntax for dtype object?
A: numpy.dtype(object, align, copy, suboc)
B: numpy.dtype(object, align, copy)
C: numpy.dtype(object, align, copy, ndmin)
d: numpy_dtype (object, align, copy)

## panda mcqs questions and answers

Q.16. Which of the following functions stacks 1D arrays as columns into a 2D array?
A: row_stack
B: column_stack
C:com_stack
D. All of the above

Q.17. Which of the following statement is true?
A: Some ufuncs can take output arguments.
B: Broadcasting is used throughout NumPy to decide how to handle arrays of varying size.
C: Many built-in functions are implemented in compiled C code.
D : The array object returned by __array_prepare__ is passed to ufunc for calculation.

Answer :- The array object returned by __array_prepare__ is passed to the ufunc for calculation.

Q.18. Which of the following sets the floating-point error callback function or log object?
A: settercall
B: setterstack
C: setter
D: callstack

Q.19. What will be the output for the following code?

import numpy as np
dt = np.dtype([(‘age’,np.int8)],
A = NP. array ([(10,),(20,),(30,)]dtype = dt)
print a[‘age’]

a : [[10 20 30],
B : [10 20 30]
C : [10]
D: error

Q.20. what is the limit of uint32 data type?
A: (-2147483648 to 2147483647)
B : (-32768 to 32767)
C : (0 to 65535)
D : (0 to 4294967295)

## numpy and pandas mcq questions

Q.21. what will print

import numpy as np
A = NP. array ([1,2,3,5,8],
B = NP. array ([0,3,4,2,1],
c = a + b
C = C * A
print(c[2],

A: 7
B : 12
C : 10
D: 21

Q.22. What will be the output for the following code?

import numpy as np
Array = NP. array ([1,2,3,5,8],
Arya = Arya + 1
print (Arya[1],

A: 0
B: 1
C : 2
D: 3

Q.23. What will be the output for the following code?

import numpy as np
A = NP. array ([[1,2,3],[0,1,4],
print (a.size)

A: 1
B : 5
C : 6
D: 4

Q.24. What will be the output for the following code?

import numpy as np
A = NP. array ([1,2,3,5,8],
print (a.ndim)

A: 0
B: 1
C : 2
D: 3

Q.25. What will be the output for the following code?

import numpy as np
A = NP. array ([[1,2,3],[0,1,4],
b = np.zeros((2,3), dtype=np.int16)
c = np.ones((2,3), dtype=np.int16)
d = a + b + c
print(d[1,2] ,

A : 5
B : 7
C : 3
D: 4

Q.26. What is the correct code to install numpy in linux system with python3?

A: pip numpy install python3
B: install pp3 numpy
C: pip install numpy
d:python 3 install pp3 numpy

Q.27. What is the correct code to install numpy in windows system containing python 3?

A: install pp3 numpy
B: pip install numpy
C: install python3 numpy
D: none of the above

Q.28. bring numpy to np
np.array(list)
Is it correct to import crispy module in this way?

A: yes, true
B: syntax error

Q.29. import numpy as np
np.array(list)
Is it correct to import crispy module in this way?

A: yes, true
B: No, true
C: syntax error
D: Show all of the above answers

Q.30. how to import numpy module?

A : from numpy import *
B: import numpy
import numpy as c:my_numpy
d: import numpy as np
E: Show all of the above answers

## Python Multiple Choice Questions and Answers Python Numpy MCQ Questions and Answers

Q.31. what is the void() function in numpy use for?

A: Create a matrix with the first column being 0
B: Create a matrix with all elements 0
C: Create a matrix with diagonal elements 0
D. All of the above

Answer:- create a matrix with all elements 0

Q.32. What does he do?
array.min()

A: Finds the maximum number in a numpy array.
b : finds the minimum number in the numpy array
C : Performs the minus operation if x < 100 D : Answer of B and C

Answer :- numpy find minimum number in array

Q.33. Is the following statement true?
numpy array can be converted to list in python3?

A: False
B: True
C: Can’t say
D: none of the above

Q.34. Choose the actual properties of the nd-array as

A: Fast and flexible container for large datasets in Python
B: Homogeneous data i.e. all elements must be of the same type
C: none of the above
D: Both A and B

Answer :- both a and b

Q.35. Regarding creating an ndarray, choose the built in functions in numpy.

A: np.array()
B: np.void()
C : np.empty()
d: np.arrange()
E: all of the above

Q.36. What are the properties of numpy array?

A: size, dtype, ndim
B: objects, types, lists
C: objects, non-globalized
d: unicode and size

Q.37. Methods in numpy array for booleans.
Choose the relevant one from the following options.

A: sum(), any(), np.type()
B: sum(), any(), all(), np.type()
C: objects(), any()
d: sum(), any(), all()

Q.38. What is the Fortran order in Numpy?

A: Re-sizing with respect to row major order
B: Re-sizing with respect to column major order
C: Converting to 1D array
D. All of the above

Answer:- resizing with respect to column major order

Q.39. The correct syntax of reshape() function in numpy array python is
A: array.reshape(shape)
B: reshape(size, array)
C: reshape(array, size)
D: Reshape (Shape)

Q.40. How can we change the size of Numpy array in Python?
A: by shape ()
B: by reshape()
C: order by ()
D: from change()

## PySpark MCQ Questions 2023 Python Numpy MCQ Questions and Answers

Q.41. How can we convert Numpy array to list in python?
A: list (array)
B: List. array
C: array list
D: none of the above

Q.42. How can we find out the type of numpy array in python?
A: dtype
B: type
C : type
D: iType

Q.43. How do we install Numpy in the system?
A: install numpy
B: pip install python numpy
C: pip install numpy
D: pip install numpy python

Q.44. Is it possible to convert Numpy array to list in python?
A: yes
B: No
C: sometimes
D: none of the above

Q.45. Minimum number of arguments to pass to complete() function in Numpy array?
A: 0
B: 1
C : 2
D: 3

Q..46 Provides Numpy in Python
a function
B: lambda function
C: Type Casting
d: array

Q.47. Numpy.array(list), what does it do?
A: It converts array to list
B: It converts list to array
C: it converts array to array
D: error

Answer:- it converts list to array

Q.48. Shape() function is used in Numpy array ,
A: Find out the size of the array
B : resize the array
C: Both of the above
D: none of the above

Answer :- find the size of the array

Q.49. What is the use of size attribute in Numpy array in Python?
A: It finds direction
B: It detects the number of items
C: It finds size
D. All of the above

Answer :- it detects the number of objects

Q.50. What is the use of void() function in Numpy array in Python?
A: to form a matrix with all elements 0
B: to create a matrix with all diagonal elements 0
C: to create a matrix with first row 0
D: none of the above

Answer:- to create a matrix with all elements 0

python numpy mcq questions and answers