Numpy Fundamantals

Question 1

What does the np.([1, 2, 3] function create?

A diagonal matrix with diagonal elements [1, 2, 3].

A 3x3 array with diagonal elements [1, 2, 3].

A 3x3 identity matrix.

A 3x3 array of ones.

Question 2

What is the output of np.array([1, 2, 3]) - np.array([4, 5, 6])?

[-3, -3, -3]

[3, 3, 3]

[-3, -3, -3, -3, -3, -3]

Error

Question 3

How can you find the index of the last occurrence of a value in a numpy array arr?

np.argwhere(arr == value)[-1].

np.where(arr == value)[0][-1].

Both A and B.

None of the above.

Question 4

What is the output of np.intersect1d([1, 2, 3], [2, 3, 4])?

[1, 2, 3]

[2, 3]

[1, 4]

[4]

Question 5

What is the output of np.logical_and([True, False, True], [True, True, False])?

[True, False, False].

[True, True, True].

[False, False, False].

[False, True, False].

Question 6

How can you find the element-wise maximum of two numpy arrays a and b?

np.max(a, b)

np.maximum(a, b).

a.max(b)

None of the above.

Question 7

How can you find the index of the first occurrence of a value greater than 10 in a numpy array arr?

np.argmax(arr > 10).

np.where(arr > 10)[0][0].

Both A and B.

None of the above.

Question 8

What is the output of np.arange (5)?

[0, 1, 2, 3, 4]

[1, 2, 3, 4, 5]

[0, 1, 2, 3, 4, 5]

[5, 4, 3, 2, 1, 0]

Question 9

How can you find the index of the last occurrence of a value less then a specified threshold in a numpy array array arr?

np.argmax(arr < threshold).

np.where(arr < threshold)[0][-1].

Both A and B.

None of the above.

Question 10

What is the output of np.arange(10)[:, np.newaxis]?

A 1D array [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

A 2D array [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9]]

A 2D array [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]

Error

Question 11

How can you find the inverse of square numpy array arr?

np.inverse(arr).

np.linalg.inv(arr).

arr.inverse().

None of the above.

Question 12

How can you find the index of the first occurrence of a value in a numpy array arr?

np.argwhere(arr == value)[0].

np.where(arr == value)[0][0].

Both A and B.

None of the above.

Question 13

What is the output of np.arange(3) .reshape(3, 1) + np.arange(3)?

[[0, 1, 2], [1, 2, 3], [2, 3, 4]]

[[0, 1, 2]]

[[0], [1], [2]]

Error

Question 14

What is the output of np.where([True, False, True])?

[0, 1, 2]

[True, False, True]

[[0], [2]]

Error

Question 15

What is numpy?

A numerical computing library for Python.

A web development framework.

A machine learning algorithm.

An operating system.

Question 16

How can you find the index of the first occurrence of a value greater than a specified threshold in a numpy array arr?

np.argmax(arr > threshold).

np.where(arr > threshold)[0][0].

Both A and B.

None of the above.

Question 17

What is the output of np.linspace(0, 1, 5, endpoint=False)?

An array of 5 equally spaced values from 0 to 1, excluding 1.

An array of 5 equally spaced values from 0 to 1, including 1.

An array of 5 random values from 0 to 1.

An array of 5 zeros.

Question 18

What does the axis parameter in numpy functions specify?

The number of dimensions.

The axis along which the function is applied.

The shape of the output array.

The data type of the output array.

Question 19

What does the np. random.rand(3, 3) function create?

A 3x3 array of random values between 0 and 1.

A 3x3 array of zeros.

A 3x3 identity matrix.

A 3x3 array of ones.

Question 20

What dose the dtype parameter in np.array() function specify?

The data type of the array elements.

The shape of the array.

The dimension of the array.

The size of the array.

Question 21

How can you calculate the mean of a numpy array arr?

np.mean(arr).

arr.mean().

Both A and B.

None of the above.

Question 22

How can you find the index of the maximum value in a numpy array arr ignoring NaN values?

np.nanargmax(arr).

arr.nanargmax().

Both A and B.

None of the above.

Question 23

What is the output of np.ones((2, 2)) * 2?

A 2x2 array of twos.

A 2x2 array of ones.

A 2x2 identity matrix.

A 2x2 array of random numbers.

Question 24

What is the output of np.eye(3)?

A 3x3 identity matrix.

A 3x3 array of zeros.

A 3x3 array of ones.

A 3x3 array of random numbers.

Question 25

How can you find the square root of each element in a numpy array arr?

np.sqrt(arr)

arr.sqrt()

Both A and B.

None of the above.

Question 26

How can you reshape a 1D array arr with 12 with elements into a 2D array with 4 rows and 3 columns?

np.reshape(arr, (4, 3)).

arr.reshape(4, 3).

np.reshape(arr, (-1, 3)).

All of the above.

Question 27

What is the output of np. randint(1, 10, (2, 3))?

A 2x3 array of random integers between 1 and 10.

A 2x3 array of random floats between 1 and 10.

A 2x3 array of ones.

A 2x3 identity matrix.

Question 28

What does the np. unique() function do?

Finds the unique elements in an array.

Sorts the elements of an array.

Calculates the mean of an array.

None of the above.

Question 29

How can you find the transpose of a numpy array arr?

np.transpose(arr).

arr.transpose().

Both A and B.

None of the above.

Question 30

What is the output of np.full((2, 2), 7)?

A 2x2 array of sevens.

A 2x2 array of ones.

A 2x2 identity matrix.

A 2x2 array of random numbers.

Question 31

How can you find the index of the maximum value in a numpy array arr?

np.argmax(arr).

arr.argmax().

Both A and B.

None of the above.

Question 32

What is the output of np.sum([ [0, 1], [0, 5] ], axis=0)?

[0, 1]

[0, 6]

[0, 0]

[0, 5]

Question 33

What is the primary data structure in numpy?

Array

List

Tuple

Dictionary

Question 34

How can you find the index of the minimum value in a numpy array arr?

np.argmin(arr).

arr.argmin().

Both A and B.

None of the above.

Question 35

How can you find the cross product of two numpy a and b?

np.cross(a, b).

a.cross(b).

Both A and B.

None of the above.

Question 36

What does the np.linspace(0, 10, 5) function create?

An array of 5 equally spaced values from 0 to 10.

An array of 5 random values from 0 to 10.

An array of 5 zeros.

An array of 5 ones.

Question 37

What is the output of np.floor([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7])?

[-2, -2, -1, 0, 1, 1].

[-1, -1, 0, 0, 1, 1].

[-2, -2, -1, -1, 1, 1].

[-1, -2, 0, 0, 1, 1].

Question 38

How can you create a numpy array from a python list?

np.array(my_list).

np.array([my_list]).

np.array({my_list}).

np.array(my_list, dtype=np.array).

Question 39

What does the np.zeros((3, 3)) function create?

A 3x3 array of zeros.

A 3x3 array of ones.

A 3x3 identity matrix.

A 3x3 array of random numbers.

Question 40

What is the output of np.array([1, 2, 3]) + np.array([4, 5])?

[5, 7, 8]

[5, 7, 3]

[1, 2, 3, 4, 5]

Error

Question 41

How can you find the dot product of two numpy array a and b?

np.dot(a, b)

a.dot(b)

Both A and B.

None of the above.

Question 42

How can you perform element-wise multiplication of two numpy array a and b?

a * b

np.multiply(a, b).

Both A and B.

None of the above.

Question 43

Which of the following is a correct way to import numpy?

import numpy

import numpy as np.

from numpy import *.

All of the above.

Question 44

How can you find the index of the maximum value in each row of a 2D numpy array arr?

np.argmax(arr, axis=0).

np.argmax(arr, axis=1).

arr.argmax(axis=0).

arr.argmax(axis=1).

Question 45

What is the output of np.clip([-2, -1, 0, 1, 2], -1, 1)?

[-1, -1, 0, 1, 1]

[-2, -1, 0, 1, 2]

[-1, -1, 0, 1, 2]

[-2, -1, 0, 1, 1]

Question 46

How can you find the mean of each row in a 2D numpy array arr?

np.mean(arr, axis=0).

np.mean(arr, axis=1).

arr.mean(axis=0).

arr.mean(axis=1).

Question 47

How can you find the cumulative sum of elements along a specified axis in a numpy array arr?

np.cumsum(arr, axis=0).

np.cumsum(arr, axis=1).

arr.cumsum(axis=0).

arr.cumsum(axis=1).

Question 48

How can you concatenate two numpy arrays a and b along the rows?

np.concatenate((a, b), axis=0).

np.concatenate((a, b), axis=1).

np.vstack((a, b)).

All of the above.

Question 49

How can you find the index of the last occurrence of a value greater than or equal to a specified threshold in a numpy array arr?

np.argmax(arr >= threshold).

np.where(arr >= threshold)[0][-1].

Both A and B.

None of the above.

Question 50

How can you find the index of the maximum value in a specific axis of a numpy array arr?

np.argmax(arr, axis=0).

np.argmax(arr, axis=1).

arr.argmax(axis=0).

arr.argmax(axis=1).

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shobha