QUIZ ON : python - NUMPY BASICS

NUMPY BASICS

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Question No# : 01 out of 50

What is a correct syntax to check the number of dimensions in an array?

A. np.ndim(array_name)

B. array_name.ndim()

C. np.dim(array_name)

D. array_name.dim

Question No# : 02 out of 50

What will be the output?<pre>import numpy as npa a=np.array([1,2,3]) print(a*2)</pre>

A. [2 4 6]

B. [1 2 3 1 2 3]

C. [3 4 5]

D. Error

Question No# : 03 out of 50

What will be the output of the following ?<pre>import numpy as np a=np.array([2,4]) b=np.array([3,5]) c=a*b print(c)</pre><div> </div>

A. [ 2 4 3 5]

B. [ 6 20]

C. [ 6 12 10 20]

D. 26

Question No# : 04 out of 50

What does size attribute in numpy use to find?

A. Number of Rows and Column in array

B. Size of each items in array

C. Number of elements in array

D. Largest element of an array

Question No# : 05 out of 50

What is the purpose of the np.array() function in NumPy?

A. It creates a new Python list.

B. It creates a NumPy array.

C. It performs element-wise addition.

D. It calculates the mean of an array.

Question No# : 06 out of 50

Which of the following argument we need to pass in reshape function.

A. Shape

B. Array

C. both a) and b)

D. None of the above.

Question No# : 07 out of 50

Which function creates linearly spaced values?

A. range()

B. space()

C. arange()

D. linspace()

Question No# : 08 out of 50

What is a correct syntax to create a NumPy array?

A. np.array([4,5,6])

B. np.create_array([4,5,6])

C. np.createArray([4,5,6])

D. np.numpyArray([4,5,6])

Question No# : 09 out of 50

What is the use of the zeros() function in Numpy array in python ?

A. To make a Matrix with all element 0

B. To make a Matrix with all diagonal element 0

C. To make a Matrix with first row 0

D. None of the above

Question No# : 10 out of 50

What will be the output of the following ?<pre>import numpy as np a = np.arange(1,5,2) print(a)</pre>

A. [1 3 5]

B. [1 3]

C. [1,3]

D. [1,2,3,4,5]

Question No# : 11 out of 50

What is the main object type in NumPy that represents homogeneous arrays?

A. List

B. Array

C. Matrix

D. Set

Question No# : 12 out of 50

Attribute of array determines

A. Size, shape

B. memory consumption

C. data type of array

D. All of these

Question No# : 13 out of 50

What does pip stand for python?

A. unlimited length

B. all private members must have leading and trailing underscores

C. Preferred Installer Program

D. None of the above

Question No# : 14 out of 50

Which of the following is used to find the largest element in numpy array

A. numpy.maximum()

B. numpy.arraymax()

C. numpy.amax()

D. numpy.big()

Question No# : 15 out of 50

What is zeros() function in numpy use to?

A. make a matrix with first column 0

B. make a matrix with all elements 0

C. make a matrix with diagonal elements 0

D. All of the above

Question No# : 16 out of 50

Which attribute returns array dimensions in NumPy?

A. size

B. dtype

C. ndim

D. shape

Question No# : 17 out of 50

What will be output for the following code?<pre>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])</pre>

A. 18

B. 20

C. 21

D. 22

Question No# : 18 out of 50

What will be the output of the following ?<pre>import numpy as np a = np.array([[ 1,2,3,4], [5,6,7,8], [9,10,11,12]]) print(a[2,2])</pre>

A. 7

B. 11

C. 10

D. 8

Question No# : 19 out of 50

In NumPy, what does the SHAPE of an array mean?

A. the shape is the number of rows

B. the shape is the number of columns

C. the shape is the number of element in each dimension

D. Total number of elements in array

Question No# : 20 out of 50

What is a correct method to join two or more arrays?

A. np.concatenate()

B. np.join()

C. np.array_join()

D. np.join_array()

Question No# : 21 out of 50

What will be the output of the following ?<pre>import numpy as np a = np.arange(5,1) print(a)</pre>

A. [ ]

B. [1 2 3 4 5]

C. [5 4 3 2 1]

D. [1 2 3 4]

Question No# : 22 out of 50

The number of axes in an ndarray is called its ___

A. rank

B. dtype

C. shape

D. None of these

Question No# : 23 out of 50

Which syntax would print the last 3 numbers from the array below:<pre>arr = np.array([1,2,3,4,5,6,7])</pre>

A. print(arr[3:])

B. print(arr[3])

C. print(arr[:3])

D. print(arr[4:])

Question No# : 24 out of 50

What is the output of following code ?<pre>a = np.array([[1,2,3],[4,5,6]]) print(a.shape)</pre>

A. (2,3)

B. (3,2)

C. (1,1)

D. none of these

Question No# : 25 out of 50

How do you import NumPy in Python?

A. import numpy as np

B. import numPy

C. from python import numpy

D. using numpy

Question No# : 26 out of 50

NumPY stands for:

A. Numbering Python

B. Number In Python

C. Numerical Python

D. None of the above

Question No# : 27 out of 50

NumPy arrays used over lists because

A. NumPy arrays have contiguous memory location

B. They are more speedy to work with

C. They are more convenient to deal with

D. All of the above

Question No# : 28 out of 50

What is a correct syntax to create an array of type float?

A. arr=np.array([1,2,3,4],dtype='float')

B. arr=np.array([1,2,3,4],dtype='f')

C. arr=np.array([1,2,3,4],dtype=float)

D. All of the above

Question No# : 29 out of 50

Numpy array's dimension are known as

A. axes

B. degree

C. cordinate

D. points

Question No# : 30 out of 50

NumPY stands for?

A. Numbering Python

B. Number in Python

C. Numerical Python

D. Number for Python

Question No# : 31 out of 50

What will be the output of the following code?<pre>import numpy as np a=np.array([1,2,3]) print(a.ndim)</pre><div> </div>

A. 1

B. 2

C. 3

D. 0

Question No# : 32 out of 50

What will be output for the following code ?<pre>import numpy as np a=np.array([2,3,4,5]) print(a.dtype)</pre><div> </div>

A. int32

B. int

C. float

D. none of these

Question No# : 33 out of 50

NumPy arrays can be

A. Indexed

B. Sliced

C. Iterated

D. All of the mentioned above

Question No# : 34 out of 50

What is default data type of NumPy Array

A. float

B. integer

C. string

D. boolean

Question No# : 35 out of 50

How can you perform element-wise addition of two NumPy arrays arr1 and arr2?

A. arr1 + arr2

B. add(arr1, arr2)

C. arr1.add(arr2)

D. elementwise_add(arr1, arr2)

Question No# : 36 out of 50

What is the primary purpose of NumPy in Python?

A. Web development

B. Machine learning and scientific computing

C. Game development

D. Database management

Question No# : 37 out of 50

What is NumPy?

A. A machine learning library

B. A web development framework

C. A numerical computing library in Python

D. A data visualization tool

Question No# : 38 out of 50

which one is the correct syntax to create an array of type float?

A. arr=np.float([1,2,3,4])

B. arr=np.array([1,2,3,4]).toFloat()

C. arr=np.array([1,2,3,4],dtype='float')

D. arr=np.farray([1,2,3,4])

Question No# : 39 out of 50

Regarding creating ndarray, choose the build in functions in numpy.

A. np.array()

B. np.zeros()

C. np.empty()

D. All of the above

Question No# : 40 out of 50

What is a correct method to split arrays?

A. array_split()

B. split()

C. split_array()

D. hstack() and vstack()

Question No# : 41 out of 50

How to import numpy module?

A. from numpy import *

B. import numpy

C. import numpy as my_numpy

D. All of above

Question No# : 42 out of 50

Which of the following arrays is a two dimensional (2-D) array?

A. 89

B. [1,2,3,4]

C. [1,2,3],[3,4,5],[1,3,4]

D. [[2 3 5][ 4 5 6][4 5 6]]

Question No# : 43 out of 50

What will be the output of the following ?<pre>import numpy as np a = np.array([1, 5, 4, 7, 8]) a = a + 1 print(a[1])</pre><div> </div>

A. 4

B. 5

C. 6

D. 7

Question No# : 44 out of 50

Which function is used to generate evenly spaced values within a specified range?

A. numpy.linspace()

B. numpy.range()

C. numpy.arrange()

D. numpy.spaceline()

Question No# : 45 out of 50

What are the attributes of numpy array?

A. shape, dtype, ndim

B. objects, type, list

C. objects, non vectorization

D. Unicode and shape

Question No# : 46 out of 50

What will be output for the following code?<pre>import numpy as np ary = np.array([1,2,3,5,8]) ary = ary + 1 print (ary[1])</pre><div> </div>

A. 0

B. 1

C. 2

D. 3

Question No# : 47 out of 50

What is the data type of elements in a NumPy array?

A. Only integers

B. Only floating-point numbers

C. Homogeneous, but can be integers or floating-point numbers

D. Heterogeneous, supporting a mix of data types

Question No# : 48 out of 50

What is the output of the following code ?<pre>import numpy as np a = np.array([[1,2,3]]) print(a.shape)</pre>

A. (2,3)

B. (3,1)

C. (1,3)

D. None of These

Question No# : 49 out of 50

What will be output for the following code ?<pre>import numpy as np a = np.array([[1, 2, 3],[0,1,4],[11,22,33]]) print (a.size)</pre><div> </div>

A. 1

B. 3

C. 9

D. 4

Question No# : 50 out of 50

What is a correct syntax to print the number 8 from the array below:<pre>arr = np.array([[1,2,3,4,5], [6,7,8,9,10]])</pre>

A. print(arr[3,0])

B. print(arr[1,2])

C. print(arr[7,2])

D. None of The Above